Low cost amoxil

SOBRE NOTICIAS EN ESPAÑOLNoticias en español es una sección de Kaiser low cost amoxil Health News que contiene traducciones de artículos de gran interés click this link here now para la comunidad hispanohablante, y contenido original enfocado en la población hispana que vive en los Estados Unidos. Use Nuestro Contenido Este contenido low cost amoxil puede usarse de manera gratuita (detalles). Lone Tree, Colorado.- Darcy Velásquez, de 42 años, y su madre, Roberta Truax, caminaban recientemente por el centro comercial Park Meadows, 15 millas al sur del centro de Denver, buscando regalos de Navidad para los dos hijos de Velásquez, cuando vieron una tienda con un exhibición de máscaras faciales adornadas con diamantes de fantasía.Brillantes ideales para una nena de 9 años. La tienda se low cost amoxil llama COVID-19 Essentials.

Y bien puede ser la primera cadena minorista del país dedicada exclusivamente a una enfermedad infecciosa.Con el cierre de muchas tiendas en los Estados Unidos durante la pandemia de coronavirus, especialmente dentro de los centros comerciales, los propietarios de esta cadena han sacado provecho del espacio vacío, así como de la creciente aceptación de que usar máscaras es una realidad que puede durar hasta 2021, o más.Las máscaras faciales han evolucionado de ser un producto utilitario, cualquier cosa podía servir para taparte la boca, a una forma de expresar la personalidad, las inclinaciones políticas o el fanatismo deportivo.Y los propietarios de COVID-19 Essentials están apostando a que los estadounidenses están dispuestos a poner dinero en sus bocas. Los precios van desde $19,99 por una simple máscara para niños hasta $130 por una cubierta facial con un filtro N95 y un ventilador a batería.La cadena COVID-19 Essentials low cost amoxil reconoce que la máscara ya es algo más que un inconveniente temporal. Será la norma hasta 2021, y tal vez más allá. (Markian Hawryluk/KHN)Casi todas las tiendas en el centro comercial Park Meadows ahora venden máscaras low cost amoxil.

Pero COVID-19 Essentials también ofrece otros accesorios para la pandemia, en un espacio exclusivo. su logo es una imagen estilizada de una partícula de coronavirus.Ubicado junto a la tienda de remeras UNTUCKit y frente a una sala de exhibición de Tesla, no low cost amoxil tiene el reconocimiento de marca ni el historial de un J.C. Penney. Pero la longevidad no parece haber ayudado a que la cadena de ropa o muchas otras escaparan de la crisis low cost amoxil por la pandemia.

Según los analistas de S&P Global Market Intelligence, las quiebras minoristas de enero a mediados de agosto alcanzaron su punto más alto en 10 años.No es que los propietarios de COVID-19 Essentials quieran que sus productos tengan demanda para siempre.“Estoy ansioso por cerrar el negocio eventualmente”, dijo Nadav Benimetzky, un minorista de Miami que fundó COVID-19 Essentials, que ahora tiene ocho tiendas en todo el país.Nathan Chen, propietario de la tienda Lone Tree con Benimetzky, tenía un negocio diferente en el aeropuerto de Denver, pero a medida que disminuyeron los vuelos, una alternativa centrada en COVID se perfiló como una empresa mucho mejor.Las máscaras han pasado de ser un producto utilitario a algo personalizado, que identifica al que la usa con un partido político o un equipo de fútbol americano.(Markian Hawryluk/KHN)Benimetzky abrió la primera tienda COVID-19 Essentials en el Aventura Mall en los suburbios de Miami después de ver la demanda de máscaras N95 al principio de la pandemia. €œSon feas e incómodas, y todo low cost amoxil el mundo las odia”, dijo. €œSi vas a usar una máscara, también puede estar a la moda y ser bonita”.Eso podría significar una máscara de lentejuelas o satén para ocasiones más formales, o la sonrisa de una calavera para asuntos casuales. Algunos cubrebocas tienen cremalleras low cost amoxil para facilitar la alimentación, o un orificio para una pajita, con cierre de velcro.La cadena tiene tiendas en la ciudad de Nueva York, Nueva Jersey, Philadelphia y Las Vegas, y está buscando abrir otras en California, donde los incendios forestales han aumentado la demanda de máscaras.Inicialmente, los propietarios realmente no estaban seguros de que la idea funcionara.

Abrieron la primera tienda justo cuando los centros comerciales volvían a abrir después de las cuarentenas.“Realmente no comprendimos qué tan grande sería”, dijo Benimetzky. €œNo lo analizamos con la low cost amoxil idea de abrir muchas tiendas. Pero hemos estado ocupados desde el momento en que abrimos “.Un empleado de COVID-19 Essentials decora una máscara con la palabra USA en piedras preciosas de fantasía.(Markian Hawryluk/KHN)Nancy Caeti, de 76 años, se detuvo en la tienda Lone Tree para comprar máscaras para sus nietos. Compró una transparente para su nieta, cuyo instructor de low cost amoxil lenguaje de señas necesita ver sus labios moverse.

Le compró a su hija, profesora de música y fanática de los Denver Broncos, una máscara con el logo del equipo de fútbol americano.“Sobreviví a la epidemia de polio”, contó Caeti. Recordó cómo low cost amoxil su madre los puso en fila a ella y a sus hermanos para recibir la vacuna contra la polio, y dijo que ella sería la primera en la fila para recibir la vacuna para COVID.Ese quizás sea el único “básico” que la tienda no vende. Pero tiene dispositivos similares a llaves para abrir puertas y presionar botones de ascensores sin tocarlos. Algunos tienen un abridor low cost amoxil de botellas incorporado.

Hay dispositivos de luz ultravioleta para desinfectar teléfonos y un desinfectante de manos exclusivo que los empleados rocían a los clientes como si fuera una muestra de perfume.Pero las máscaras son el mayor atractivo porque la tienda las puede personalizar.Al entrar, los clientes pueden verificar su temperatura con un escáner de frente digital con instrucciones audibles. €œAcérquese. Acércate. Temperatura normal.

Temperatura normal”.La tienda también ha agregado un fregadero cerca de la entrada para que los clientes puedan lavarse las manos antes de tocar los productos.Algunos pasan por la tienda desconcertados, deteniéndose para tomar fotos y publicarlas en las redes sociales. Una pareja mayor (blanca no hispana) con máscaras idénticas observó una máscara en el negocio con el lema “Black Lives Matter” y se alejó.El negocio no toma partido politico. Hay tres diseños de máscaras del presidente Donald Trump, y dos para el candidato presidencial demócrata Joe Biden.COVID-19 Essentials vende dispositivos parecidos a llaves que sirven para abrir puertas y tocar el botón de los elevadores "a distancia". (Markian Hawryluk/KHN)Daniel Gurule, de 31 años, pasó por el centro comercial a la hora del almuerzo para comprar un Apple Watch, pero se aventuró a entrar en la tienda por una nueva máscara.

Dijo que normalmente usaba una máscara con ventilación, pero que no todos los lugares las permiten. (Protegen a los usuarios, pero no a las personas que los rodean). Compró una por $24,99 con el logo del equipo de baloncesto Denver Nuggets.“Nos quita un poco de nuestra personalidad cuando todo el mundo camina con máscaras desechables”, dijo Chen. €œParece un hospital, como si todo el mundo estuviera enfermo”.La mayoría de las máscaras están cosidas específicamente para la cadena, incluidas muchas hechas a mano.

Uno de sus proveedores es una familia de inmigrantes vietnamitas que cosen máscaras en su casa de Los Ángeles, dijo Benimetzky.Chen dijo que era difícil tener máscaras en stock y que todos los días hay un nuevo diseño que es éxito de ventas.Dorothy Lovett, de 80 años, se detuvo frente a la tienda, apoyada en un bastón con un diseño de estampado animal. €œTuve que retroceder y decir, ‘¿Qué diablos es esto?. €™â€, dijo. €œNunca antes había visto una tienda de máscaras”.Examinó la vitrina, notando que necesitaba encontrar una mejor opción que la versión de tela que estaba usando.“No puedo respirar con ésta”, dijo Lovett, antes de decidirse por su favorita.

€œMe gusta la máscara Black Lives Matter”. Markian Hawryluk. MarkianH@kff.org, @MarkianHawryluk Related Topics Noticias En Español Public Health States Colorado COVID-19PETALUMA, Calif. €” Late on the night of Sept.

27, a bumper-to-bumper caravan of fleeing cars, horse trailers, RVs and overstuffed pickup trucks snaked east on Highway 12, the flames of the Glass Fire glowing orange in their rearview mirrors.With her cat, Bodhi, in his carrier in the back seat, 80-year-old Diana Dimas, who doesn’t see well at night, kept her eyes glued to the rear lights of her neighbor’s Toyota. She and Magdalena Mulay had met a few years before at a bingo night in their sprawling retirement community on the outskirts of Santa Rosa. Both Libras, each with two marriages behind her, the two women soon became the sort of friends who finish each other’s sentences.Now, for the second time in three years, they heard the alarms and fled together as fire consumed the golden hills of Northern California’s wine country.“I thought, where on earth are we going to go?. € recalled Dimas.

She remembered that when the catastrophic Tubbs Fire hit back in 2017, people had sought refuge outside well-lit supermarkets, which had water and bathrooms. Which is how Dimas and Mulay and dozens of other seniors ended up spending the night of the most recent evacuation in the parking lot of the Sonoma Safeway. Email Sign-Up Subscribe to KHN’s free Morning Briefing. At midnight, Mulay was trying to get comfortable enough to catch a few winks in her driver’s seat when her phone began to chirp.

A friend was calling to wish her a happy 74th birthday.The stories of that Sunday night — as a 20-acre fire started that morning merged with two other fires to become an 11,000-acre conflagration forcing tens of thousands from their homes in two counties — spotlight the challenges of evacuating elderly and infirm residents from the deadly wildfires that have become an annual occurrence in California. This year, the coronavirus, which is especially dangerous to the elderly, has further complicated the problem.While the 2020 fire season will go down as the state’s biggest on record, rescuers have so far managed to avoid horrors on the scale of three years ago, when the firestorm that raced through California’s wine country killed 45 people. Almost all were over 65 — found in wheelchairs, trapped in their garages, isolated and hard of hearing, or simply too stubborn to leave. The same grim pattern emerged from the Camp Fire, which leveled the Northern California town of Paradise in 2018.Assisted care homes in particular came under scrutiny after the 2017 fire, when ill-equipped and untrained workers at two Santa Rosa facilities abandoned two dozen frail, elderly residents as the flames closed in, according to state investigators.

They concluded the seniors would have died in the flames had emergency workers and relatives not arrived at the last minute to rescue them.“The problem is we don’t value elders as a society,” said Debbie Toth, CEO of Choice in Aging, an advocacy group. €œIf children needed to be evacuated, we’d have a freaking Romper Room stood up overnight to entertain them so they wouldn’t be damaged by the experience.”The destructive effects of climate change in California have dovetailed with a rapidly graying population — which in a decade is projected to include 8.6 million senior citizens. That has fueled a growing demand for senior housing, from assisted care homes to swanky “active adult” facilities complete with golf courses and pools.Proximity to nature is a major selling point of Oakmont Village, Dimas and Mulay’s upscale community of nearly 5,000 over-55s, which has everything from bridge games to cannabis clubs. But the woodlands and vineyards surrounding this suburban sprawl have put thousands of elderly citizens in hazardous wildfire zones.“With seniors, there’s mobility issues, hearing issues — even the sense of smell is often gone in the later years,” said Marrianne McBride, who heads Sonoma County’s Council on Aging.

Getting out fast in an emergency is especially challenging for those who no longer drive. In Sunday’s evacuation, some residents who followed official advice to call ride services had to wait hours, until 3 or 4 a.m., for the overtaxed vans.Dimas and Mulay managed to scramble into their cars and get on the road shortly after 10 p.m., when a mandatory evacuation order went out for the thousands of seniors in Oakmont Village. But it was after midnight when residents of two Santa Rosa assisted care homes in the evacuation zone were shuffled onto city buses in their bathrobes, some with the aid of walkers. Off-duty drivers braved thick smoke and falling embers to ferry some of them to safety, only to spend hours being sent from one shelter to another as evacuation sites filled up fast because of social distancing rules designed to prevent the spread of COVID-19.Other precautions, including masks and temperature checks, were followed.

But health officials nonetheless voiced concerns that vulnerable people in their 80s and 90s — especially residents of skilled nursing homes, the source of most of Sonoma County’s coronavirus deaths so far — had been moved among multiple locations, upping their chance for exposure.In the following days, shelters were fielding frantic calls from out-of-town relatives searching for their loved ones. €œWe were getting phone calls from Michigan, other places across the country, saying, ‘I’m trying to find my mother!. €™â€ said Allison Keaney, CEO of the Sonoma-Marin Fairgrounds, which sheltered several hundred horses, chickens, goats and llamas as well as displaced people.Bart Pettijohn rests on his cot with his dog, Clumsy, in an evacuation center at the Petaluma Veterans Memorial Building on Sept. 30.

Volunteer health care workers and a veterinarian were among those who checked up on dozens of seniors and pets forced out of their homes during the biggest wildfire season in California history. (Rachel Scheier for KHN)By Wednesday afternoon, a few dozen evacuees remained at the shelters, mostly seniors without relatives or friends nearby to take them in, like Dimas and Mulay. The two women had left the Safeway lot and were sleeping on folding cots in a gym at the Veterans Memorial Building in Petaluma, an old poultry industry town dotted with upscale subdivisions.This was their first time out and around other people since March, when the two friends had been planning a big night out to see Il Volo, an Italian pop group. Seven months later, the new outfits they bought for the concert still hang unworn in their closets.“All we do since the shutdown is stay home and talk on the phone,” said Mulay, who spoke to a reporter while sitting next to her friend on a folding chair outside the shelter.

€œNow, with all these crowds — it’s terrifying.”Dimas likened the pandemic followed by the fires to “a ball rolling downhill, getting bigger and bigger. And then there we were, with the flashing lights all around us and the cops shouting, ‘Go this way!. €™ ‘Keep moving!. €™â€Listos California — an outreach program, for seniors and other vulnerable people, run out of the Governor’s Office of Emergency Services — allotted $50 million to engage dozens of nonprofits and community groups around the state to help warn and locate people during disasters.

(Listos means “Ready” in Spanish.)In Sonoma and Napa counties, where the Glass Fire had destroyed at least 630 structures by late last week, the bolstered threat of wildfires in recent years has promoted new alert systems — including a weather radio that has strobe lights for the deaf or can shake the bed to awaken you.But while counties are legally responsible for alerting people and providing shelter for them once they’re out, no public agency is responsible for overseeing the evacuation. Practices differ widely from county to county, said Listos co-director Karen Baker.If Sonoma County has learned anything from the disasters of the past few years, it’s not to depend too much on any system in an emergency. €œYou’ve got to have a neighborhood network,” McBride said. €œAs community members, we have to rely on each other when these things happen.”Early last week, word filtered through the shelters that the fire had consumed a triplex and two single-family homes in the Oakmont neighborhood, but firefighters had battled the blaze through the night with hoses, shovels and chainsaws and miraculously managed to save the rest of the community.A week later, to their relief, Oakmont’s senior residents were allowed to return home.

By then, Mulay had developed severe back pain. Dimas missed her TV.Back in her apartment with Bodhi, Dimas noted with horror that the blaze had come close enough to her building to incinerate several juniper bushes and scorch a redwood just 2 feet away.“The whole thing feels surreal, like ‘Oh, my God, did that really happen, or did I dream it?. €™â€ she said. This KHN story first published on California Healthline, a service of the California Health Care Foundation.

Rachel Scheier. @rachelscheier Related Topics Aging Public Health COVID-19 Natural DisastersLONE TREE, Colo. €” Darcy Velasquez, 42, and her mother, Roberta Truax, were walking recently in the Park Meadows mall about 15 miles south of downtown Denver, looking for Christmas gifts for Velasquez’s two children, when they spotted a store with a display of rhinestone-studded masks.It’s an immutable truth of fashion. Sparkles can go a long way with a 9-year-old.The store is called COVID-19 Essentials.

And it may well be the country’s first retail chain dedicated solely to an infectious disease.With many U.S. Stores closing during the coronavirus pandemic, especially inside malls, the owners of this chain have seized on the empty space, as well as the world’s growing acceptance that wearing masks is a reality that may last well into 2021, if not longer. Masks have evolved from a utilitarian, anything-you-can-find-that-works product into another way to express one’s personality, political leanings or sports fandom.And the owners of COVID-19 Essentials are betting that Americans are willing to put their money where their mouth is. Prices range from $19.99 for a simple children’s mask to $130 for the top-of-the-line face covering, with an N95 filter and a battery-powered fan.The COVID-19 Essentials chain recognizes that mask-wearing is more than a temporary inconvenience — it may become the norm well into 2021, or longer.(Markian Hawryluk/KHN)Almost all shops and many pop-up kiosks in the Park Meadows mall now sell masks.

But COVID-19 Essentials also carries other accessories for the pandemic, in a space that has a more established feel than a holiday pop-up store. Permanent signage above its glass doors includes a stylized image of a coronavirus particle. Nestled beside the UNTUCKit shirt store and across from a Tesla showroom, it has neither the brand recognition nor the track record of a J.C. Penney.

But longevity doesn’t seem to have helped that clothing chain or many others escape industry upheaval during the pandemic. According to analysts at S&P Global Market Intelligence, retail bankruptcies from January to mid-August reached a 10-year-high.Not that the COVID-19 Essentials owners want their products to be in demand forever.“I can’t wait to go out of business eventually,” said Nadav Benimetzky, a Miami retailer who founded COVID-19 Essentials, which now has eight locations around the country.That seemed to be the attitude of most of the customers who walked into the store on a recent Friday afternoon. Most understood the need for masks — face coverings are required to even enter the mall — and thus they recognized the business case for a COVID-19 store. Still, they hoped masks would soon go the way of bell-bottoms or leg warmers.

For the time being, they’re making the best of the situation. Email Sign-Up Subscribe to KHN’s free Morning Briefing. Nathan Chen, who owns the Lone Tree store with Benimetzky, previously ran a different store at the Denver airport, but as air travel declined, a COVID-focused business seemed a much better venture. The pandemic giveth and the pandemic taketh away.Benimetzky opened the first COVID-19 Essentials store in the Aventura Mall in suburban Miami after seeing the demand for N95 masks early in the pandemic.

€œThey’re ugly and uncomfortable, and everybody hates them,” he said. €œI piggybacked off of that. If you’re going to wear a mask, you might as well make it fashionable and pretty.”Face masks have evolved from a utilitarian product into a customized accessory for personal expression.(Markian Hawryluk/KHN)That could mean a sequin or satin mask for more formal occasions, or the toothy grin of a skull mask for casual affairs. Some masks have zippers to make eating easier, or a hole for a straw, with a Velcro closure for when the cup is sucked dry.The chain has locations in New York City, New Jersey, Philadelphia and Las Vegas, and is looking to open stores in California, where wildfires have only added to the demand for masks.Initially, the owners really weren’t sure the idea would fly.

They opened the first store just as malls were reopening following the lockdowns.“We really didn’t grasp how big it would get,” Benimetzky said. €œWe didn’t go into it with the idea of opening many stores. But we got busy from the second we opened.”Nancy Caeti, 76, stopped in the Lone Tree store to buy masks for her grandchildren. She bought one with a clear panel for her granddaughter, whose sign language instructor needs to see her lips moving.

She bought her daughter, a music teacher and Denver Broncos fan, a mask with the football team’s logo.“I lived through the polio epidemic,” Caeti said, as her latex-gloved hand inserted her credit card into the card reader. €œIt reminds me of that, but that I don’t think was as bad.” She recalled how her mother had lined her and her siblings up to get the polio vaccine, and said she’d be first in line for a COVID shot.That perhaps is the one essential the store does not carry. It hawks keylike devices for opening doors and pressing elevator buttons without touching them. Some have a built-in bottle opener.

There are ultraviolet-light devices for disinfecting phones and upscale hand sanitizer that employees spray on customers as if it were a department store perfume sample.But the masks are the biggest draw. The store can personalize them with rhinestone letters or the kind of iron-on patches that teens once wore on their jeans.A COVID-19 Essentials employee decorates a face mask with rhinestone letters, spelling U-S-A.(Markian Hawryluk/KHN)Upon entry, customers can check their temperature with a digital forehead scanner with audible directions. €œStep closer. Step closer.

Temperature normal. Temperature normal.”The store also has added a sink near the entrance so customers can wash their hands before handling the merchandise.Some mallgoers walk by the store in bewilderment, stopping to take photos to post to social media with a you’ve-got-to-be-kidding message. One older white couple in matching masks noticed a mask emblazoned with the slogan “Black Lives Matter” in the storefront display, and walked away in disgust.The store takes no political sides. There are three designs of President Donald Trump campaign masks, two for Democratic presidential candidate and former Vice President Joe Biden.

One woman, who declined to give her name, came in wearing a mask below her nose and wondered whether a Trump mask would fit her smallish face. The Trump masks are among the more popular sellers, Chen said, so he keeps them in a bigger cabinet to accommodate the extra stock. It’s not clear if that will forecast the election results, as some have posited with Halloween mask sales.Daniel Gurule, 31, stopped by the mall on his lunch hour to pick up an Apple Watch but ventured into the store for a new mask. He said that he normally wore a vented mask but that not all places allowed those.

(They protect users but not the people around them.) He bought a $24.99 mask with the logo of the Denver Nuggets basketball team.“It takes away a little bit of our personalities when everybody is walking around in disposable masks,” Chen said. €œIt kind of looks like a hospital, like everybody is sick.”Most of the masks are sewn specifically for the chain, including many by hand. One of their suppliers is a family of Vietnamese immigrants who sew masks at their Los Angeles home, Benimetzky said. Chen said that it was hard to keep masks in stock, and that every day it seemed some other design became their best seller.COVID-19 Essentials sells keylike devices to open doors and press elevator buttons without touching them.

Some even have built-in bottle openers.(Markian Hawryluk/KHN)Dorothy Lovett, 80, paused outside the store, leaning on a cane with an animal print design.“I had to back up and say, ‘What the heck is this?. €™â€ she said. €œI’ve never seen a mask store before.”She perused the display case, noting she needed to find a better option than the cloth version she was wearing.“I can’t breathe in this one,” said Lovett, who is white, before deciding on her favorite. €œI like the Black Lives Matter mask.” Markian Hawryluk.

MarkianH@kff.org, @MarkianHawryluk Related Topics Public Health States Colorado COVID-19Referring to plans to combat COVID-19. €œThe reality is when you look at the Biden plan, it reads an awful lot like what President Trump and I and our task force have been doing every step of the way.”— Vice President Mike Pence on Oct. 7, 2020, during the vice presidential debate. During last week’s vice presidential debate, moderator Susan Page, USA Today’s Washington bureau chief, asked Vice President Mike Pence about the U.S.

COVID-19 death toll. Pence replied by touting the Trump administration’s actions to combat the pandemic, such as restrictions on travel from China, steps to expand testing and efforts to accelerate the production of a vaccine. This story was produced in partnership with PolitiFact. This story can be republished for free (details). Pence also took a jab at Democratic presidential nominee Joe Biden, a strong critic of the Trump pandemic response.

€œThe reality is, when you look at the Biden plan, it reads an awful lot like what President Trump and I and our task force have been doing every step of the way,” said Pence. €œAnd, quite frankly, when I look at their plan,” he added, “it looks a little bit like plagiarism, which is something Joe Biden knows a little bit about.”(Pence’s gibe about plagiarism is likely a reference to Biden copying phrases from a British politician’s speeches during his first run for president in 1987, an issue that caused him to drop out of the race. In 2019, the Biden campaign acknowledged it had inadvertently lifted language in its climate and education plans without attributing the sources.)Because COVID-19 continues to spread throughout the United States, with nearly 8 million cases and upward of 215,000 deaths, we decided to examine both the Trump and Biden plans to curb the pandemic and investigate whether Pence was on target in his charge that the Biden plan is rooted in Trump’s ideas.We reached out to both presidential campaigns for their candidates’ COVID-19 plans. The Trump campaign did not respond to our request, but we looked at a campaign website timeline of administration actions on COVID-19, as well as a coronavirus fact sheet from the White House.

The Biden campaign sent us a link to Biden’s COVID-19 plan.At first glance, there are obvious similarities. Both declare goals like vaccine development and expanding public availability of COVID-19 tests.“Most pandemic response plans should be at their core fairly similar, if they’re well executed,” said Nicolette Louissaint, executive director of Healthcare Ready, a nonprofit organization focused on strengthening the U.S. Health care supply chain.But public health experts also pointed to significant philosophical differences in how the plans are put into action.“You ought to think about it as two groups of people trying to make a car,” said Dr. Georges Benjamin, executive director of the American Public Health Association.

€œThey have to have four wheels, probably have to have a bumper, have some doors,” he said. It is how you build the car from that point forward that determines what the end product looks like.What Trump Has DoneAs Pence pointed out, the Trump administration has focused its efforts to combat COVID-19 along a couple of lines.The administration formed the White House coronavirus task force in January and issued travel restrictions for some people traveling from China and other countries in February. Federal social distancing guidelines were issued in March and expired on April 30. The administration launched Operation Warp Speed in April, with the goal of producing and delivering 300 million doses of a coronavirus vaccine beginning in January 2021.

A more detailed logistics plan to distribute a vaccine was issued later. Trump activated the Defense Production Act for certain protective equipment and ventilators. His administration also has talked about efforts to expand COVID-19 testing in partnership with the private sector, as well as initiatives to help cover costs for COVID-19 treatments and make tests free of charge.Importantly, the administration also shifted significant decision-making responsibility to states, leaving the development of testing plans, procurement of personal protective equipment and decrees on stay-at-home orders and mask mandates to the discretion of the governor or local governments. Despite that, Trump still urged states to reopen beginning in May, though in many areas cases of COVID-19 remained high.

Don't Miss A Story Subscribe to KHN’s free Weekly Edition newsletter. What Biden Proposes to DoBiden’s plan would set out strong national standards for testing, contact tracing and social distancing — words that echo the Trump plan. It proposes working with states on mask mandates, establishing a “supply commander” in charge of shoring up PPE, aggressively using the Defense Production Act and accelerating vaccine development.It also outlines plans to extend more fiscal relief, provide enhanced health insurance coverage, eliminate cost sharing for COVID treatments, reestablish a team on the National Security Council to address pandemic response and to maintain membership inthe World Health Organization. Trump announced earlier this summer that the U.S.

Would begin procedures to withdraw from the WHO, effective as of July 6, 2021.Biden has said he would follow scientific advice if indicators pointed to a need to dial up social distancing guidelines in light of another wave of COVID-19 cases.What’s the Same, What’s Different Sources: The Boston Globe, “On the Campaign Trail, Trump and Biden Operate in Different Circles on COVID-19,” Oct. 6, 2020Department of Health and Human Services, “From the Factory to the Frontlines — The Operation Warp Speed Strategy for Distributing a COVID-19 Vaccine,” accessed Oct. 12, 2020Department of Health and Human Services, “Trump Administration Will Deploy 150 Million Rapid Tests in 2020,” Aug. 27, 2020DonaldJTrump.com, “Trump Campaign Announces President Trump’s 2nd Term Agenda.

Fighting for You!. € accessed Oct. 8, 2020DonaldJTrump.com, “Timeline. The Trump Administration’s Decisive Actions to Combat the Coronavirus,” accessed Oct.

9, 2020Email exchange with Joe Biden for President campaign staffer, Oct. 7, 2020Email interview with Dr. Rachel Vreeman, director of the Arnhold Institute for Global Health at the Icahn School of Medicine at Mount Sinai, Oct. 8, 2020JoeBiden.com, “The Biden Plan to Combat Coronavirus (COVID-19) and Prepare for Future Global Health Threats,” accessed Oct.

8, 2020KFF, “Comparing Trump and Biden on COVID-19,” Sept. 11, 2020Phone interview with Brooke Nichols, assistant professor of global health at Boston University, Oct. 9, 2020Phone interview with Josh Michaud, associate director for global health policy at KFF (Kaiser Family Foundation), Oct. 8, 2020Phone interview with Joseph Antos, Wilson H.

Taylor resident scholar in health care and retirement policy at the American Enterprise Institute, Oct. 8, 2020Phone interview with Dr. Georges Benjamin, executive director of the American Public Health Association, Oct. 8, 2020Phone interview with Dr.

Leana Wen, public health professor at George Washington University, Oct. 8, 2020Phone interview with Nicolette Louissaint, executive director and president of Healthcare Ready, Oct. 9, 2020Rev.com, “Kamala Harris &. Mike Pence 2020 Vice Presidential Debate Transcript,” Oct.

7, 2020Tableau, “COVID-19 at the White House — Public Reports,” accessed Oct. 12, 2020Tradeoffs Podcast, “Season 1. Episode 71, Biden and COVID-19,” Sept. 24, 2020Tradeoffs Podcast, “All the President’s … Health Policies.

Where Do the Candidates Stand on Health Policy?. € Sept. 24, 2020The White House, “President Trump’s Historic Coronavirus Response,” Aug. 10, 2020The White House, “Coronavirus Guidelines,” March 16, 2020The Washington Post, “Echoes of Biden’s 1987 Plagiarism Scandal Continue to Reverberate,” June 5, 2019The Washington Post, “Joe Biden’s Campaign Acknowledges Lifting Language From Other Groups for Its Policy Plans,” June 4, 2019 Dr.

Rachel Vreeman, director of the Arnhold Institute for Global Health at the Icahn School of Medicine at Mount Sinai, noted in an email that a key likeness is that the two plans “sometimes used similar words, such as testing, PPE and vaccines.”But “the overall philosophy from the start, from the White House and from Trump, has been to let states and local governments deal with this problem,” said Josh Michaud, associate director for global health policy at KFF. €œBiden would have a much more forceful role for the federal government in setting strategy and guidelines in regards to the public health response.” (KHN is an editorially independent program of KFF.)Even Pence pointed out this philosophical difference during the debate, saying that Democrats want to exert government control while Trump and Republicans left health choices up to individual Americans.Vreeman and others pointed to another contrast — that the Trump administration has yet to issue a comprehensive COVID-19 response plan.“What plan?. I would really love it if someone could show me a plan. A press release is not a plan,” said Dr.

Leana Wen, a public health professor at George Washington University.Wen is right that the Trump administration has not issued a detailed plan, such as Biden’s document. The Trump administration has, however, offered a road map for how vaccines would be distributed.Behavior Matters, TooAnother major distinction emerged in the way the candidates have communicated the threat of the coronavirus to the public and reacted to public health guidelines, such as those issued by the Centers for Disease Control and Prevention.During most public outings and campaign rallies, Trump has chosen not to wear a mask — even after he tested positive and was treated for COVID-19. He has been known to mock others, including reporters and Biden, for wearing masks. And, Trump and members of his administration have not adhered to social distancing guidelines at official events.

The White House indoor reception and outdoor Rose Garden event held to mark the nomination of Amy Coney Barrett to the Supreme Court – at each one, few attendees followed these precautions – have been associated with the transmission of at least 11 cases of coronavirus, according to a website tracking the cases from public reports. There are also multiple reported cases among White House and Trump campaign staff members.Throughout the pandemic, Trump has downplayed the threat of COVID-19, touted unproven treatments for the disease such as bleach, hydroxychloroquine or UV light, questioned the effectiveness of face masks and criticized or contradicted public health officials’ statements about the pandemic.In comparison, Biden has worn masks during his public campaign events and has encouraged Americans to do so as well. His events strictly adhere to public health guidelines, including wearing masks, social distancing and limiting the number of attendees.The two candidates’ approaches to listening to scientists are also different.“Biden has said he is going to look at science and value the best scientists,” said Benjamin. €œThe Trump administration has not walked the talk.

They have said one thing and done something else. If you go on the Trump administration website, you see guidelines that they didn’t follow themselves.”In the end, the Biden campaign has the distinction of being able to learn from the Trump administration’s early missteps, said the experts.There’s also a reality check. If Biden wins and attempts to implement his COVID-19 plan, it’s important to consider that no matter how well thought out it looks on paper, he may not be able to accomplish everything.“There’s a lot of words in this plan,” said Joseph Antos, a resident scholar in health care policy at the American Enterprise Institute. €œBut until you’re in the job, a lot of this doesn’t really matter.”Our RulingPence claimed the Biden plan to address COVID-19 was similar to the Trump administration’s plan “every step of the way.”A cursory, side-by-side look at the Trump administration’s COVID-19 actions — no actual comprehensive plan has been released — and the Biden plan indicates some big picture overlap on securing a vaccine and ramping up testing.

But that’s where the similarities end.Biden’s plan includes proposed actions the Trump administration has not pursued. It also is focused on federal rather than state authority, a significant distinction Pence himself pointed out during the debate.Additionally, the candidates’ behaviors toward COVID-19 and views on science have been diametrically opposed, with Trump eschewing the use of face masks and social distancing, and Biden closely adhering to both.Pence’s statement ignores critical facts and realities, making it inaccurate and ridiculous.We rate it Pants On Fire. Victoria Knight. vknight@kff.org, @victoriaregisk Related Topics Elections Health Industry Public Health COVID-19 KHN &.

PolitiFact HealthCheck Trump AdministrationJournalists from KHN and the Guardian have identified 1,290 workers who reportedly died of complications from COVID-19 they contracted on the job. Reporters are working to confirm the cause of death and workplace conditions in each case. They are also writing about the people behind the statistics — their personalities, passions and quirks — and telling the story of every life lost.Explore the new interactive tool tracking those health worker deaths. More From This Series.

Related Topics Health Industry COVID-19 Doctors Investigation Lost On The Frontline Nursing Homes.

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Over 12,000 home health agencies served 5 million disabled and amoxil for strep throat older Americans amoxil pediatric dosing chart in 2018. Home health aides help their clients with the tasks of daily living, like eating and showering, as well as with clinical tasks, like taking blood pressure and leading physical therapy exercises. Medicare relies on home health care services because they help amoxil pediatric dosing chart patients discharged from the hospital and skilled nursing facilities recover but at a much lower cost. Together, Medicare and Medicaid make up 76% of all home health spending.Home health care workers serve a particularly important role in rural areas. As rural areas lose physicians and hospitals, home health agencies often replace amoxil pediatric dosing chart primary care providers.

The average age of residents living in rural counties is seven years older than in urban counties, and this gap is growing. The need for home health agencies serving the elderly in rural areas will continue to grow over the coming decades.Rural home health agencies face unique challenges. Low concentrations of people are dispersed over large geographic areas leading to long travel times for workers to drive to clients’ homes amoxil pediatric dosing chart. Agencies in rural areas also have difficulties recruiting and maintaining a workforce. Due to these difficulties, agencies may not be able to serve all rural beneficiaries, initiate amoxil pediatric dosing chart care on time, or deliver all covered services.Congress has supported measures to encourage home health agencies to work in rural areas since the 1980s by using rural add-on payments.

A rural add-on is a percentage increase on top of per visit and episode-of-care payments. When a home health aide works in a rural county, Medicare pays their home health agency a standard fee plus a rural add-on amoxil pediatric dosing chart. With a 5% add-on, Medicare would pay $67.78 for an aide home visit in a city and $71.17 for the same care in a rural area.Home health care workers serve a particularly important role in rural areas. As rural areas lose physicians and hospitals, home health agencies often replace primary care providers.Rural add-on payments have fluctuated based on Congressional budgets and political priorities. From 2003 to amoxil pediatric dosing chart 2019, the amount Medicare paid agencies changed eight times.

For instance, the add-on dropped http://cz.keimfarben.de/buy-real-amoxil-online/ from 10% to nothing in April 2003. Then, in April 2004, Congress set the rural add-on to 5%.The variation in payments created a natural experiment for amoxil pediatric dosing chart researchers. Tracy Mroz and colleagues assessed how rural add-ons affected the supply of home health agencies in rural areas. They asked if the number of agencies in urban and rural counties varied depending on the presence and dollar amount of rural add-ons between 2002 and 2018. Though rural add-ons have been in place for over 30 years, researchers had not previously investigated amoxil pediatric dosing chart their effect on the availability of home healthcare.The researchers found that rural areas adjacent to urban areas were not affected by rural add-ons.

They had similar supply to urban areas whether or not add-ons were in place. In contrast, isolated amoxil pediatric dosing chart rural areas were affected substantially by add-ons. Without add-ons, the number of agencies in isolated rural areas lagged behind those in urban areas. When the add-ons were at least 5%, the availability of home health in isolated rural areas was comparable to urban areas.In 2020, Congress implemented a system of payment reform that reimburses home health agencies in rural counties by population density and home health use amoxil pediatric dosing chart. Under the new system, counties with low population densities and low home health use will receive the greatest rural add-on payments.

These payments aim to increase and maintain the availability of care in the most vulnerable rural home health markets. Time will tell if this approach gives sufficient incentive to ensure access to quality care in the nation’s most amoxil pediatric dosing chart isolated areas.Photo via Getty ImagesStart Preamble Correction In proposed rule document 2020-13792 beginning on page 39408 in the issue of Tuesday, June 30, 2020, make the following correction. On page 39408, in the first column, in the DATES section, “August 31, 2020” should read “August 24, 2020”. End Preamble amoxil pediatric dosing chart [FR Doc. C1-2020-13792 Filed 7-17-20.

Over 12,000 home health low cost amoxil agencies served 5 million disabled and older Americans in 2018. Home health aides help their clients with the tasks of daily living, like eating and showering, as well as with clinical tasks, like taking blood pressure and leading physical therapy exercises. Medicare relies on home low cost amoxil health care services because they help patients discharged from the hospital and skilled nursing facilities recover but at a much lower cost. Together, Medicare and Medicaid make up 76% of all home health spending.Home health care workers serve a particularly important role in rural areas.

As rural areas lose physicians and hospitals, home health agencies often low cost amoxil replace primary care providers. The average age of residents living in rural counties is seven years older than in urban counties, and this gap is growing. The need for home health agencies serving the elderly in rural areas will continue to grow over the coming decades.Rural home health agencies face unique challenges. Low concentrations of people are dispersed over large geographic areas leading to long travel times for workers to drive to clients’ homes low cost amoxil.

Agencies in rural areas also have difficulties recruiting and maintaining a workforce. Due to these difficulties, agencies may not be able to serve all rural beneficiaries, initiate care on time, or deliver all covered low cost amoxil services.Congress has supported measures to encourage home health agencies to work in rural areas since the 1980s by using rural add-on payments. A rural add-on is a percentage increase on top of per visit and episode-of-care payments. When a home health aide works in a rural low cost amoxil county, Medicare pays their home health agency a standard fee plus a rural add-on.

With a 5% add-on, Medicare would pay $67.78 for an aide home visit in a city and $71.17 for the same care in a rural area.Home health care workers serve a particularly important role in rural areas. As rural areas lose physicians and hospitals, home health agencies often replace primary care providers.Rural add-on payments have fluctuated based on Congressional budgets and political priorities. From 2003 low cost amoxil to 2019, the amount Medicare paid agencies changed eight times. For instance, the add-on dropped from 10% to nothing in April 2003.

Then, in April 2004, Congress set the rural add-on to 5%.The variation in payments low cost amoxil created a natural experiment for researchers. Tracy Mroz and colleagues assessed how rural add-ons affected the supply of home health agencies in rural areas. They asked if the number of agencies in urban and rural counties varied depending on the presence and dollar amount of rural add-ons between 2002 and 2018. Though rural add-ons have been in place for over 30 years, researchers had not previously investigated their effect on low cost amoxil the availability of home healthcare.The researchers found that rural areas adjacent to urban areas were not affected by rural add-ons.

They had similar supply to urban areas whether or not add-ons were in place. In contrast, isolated rural areas low cost amoxil were affected substantially by add-ons. Without add-ons, the number of agencies in isolated rural areas lagged behind those in urban areas. When the add-ons were at least low cost amoxil 5%, the availability of home health in isolated rural areas was comparable to urban areas.In 2020, Congress implemented a system of payment reform that reimburses home health agencies in rural counties by population density and home health use.

Under the new system, counties with low population densities and low home health use will receive the greatest rural add-on payments. These payments aim to increase and maintain the availability of care in the most vulnerable rural home health markets. Time will tell if this approach gives sufficient incentive to ensure access to quality care in the nation’s most isolated areas.Photo via Getty ImagesStart Preamble Correction In proposed rule document 2020-13792 beginning on page 39408 in the issue of Tuesday, June 30, 2020, make the following correction low cost amoxil. On page 39408, in the first column, in the DATES section, “August 31, 2020” should read “August 24, 2020”.

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High burden buy 250mg amoxil online http://cz.keimfarben.de/buy-real-amoxil-online/ of antibiotic-resistant Mycoplasma genitalium in symptomatic urethritisMycoplasma genitalium is an aetiological agent of sexually transmitted urethritis. A cohort study investigated M. Genitalium prevalence, antibiotic resistance and association with previous macrolide exposure among 1816 Chinese buy 250mg amoxil online men who presented with symptomatic urethritis between 2011 and 2015. Infection was diagnosed by PCR, and sequencing was used to detect mutations that confer resistance to macrolides and fluoroquinolones. In 11% buy 250mg amoxil online of men, M.

Genitalium was the sole pathogen identified. Nearly 90% of infections were resistant to buy 250mg amoxil online macrolides and fluoroquinolones. Previous macrolide exposure was associated with higher prevalence of resistance (97%). The findings point to the need buy 250mg amoxil online for routine screening for M. Genitalium in symptomatic men with urethritis.

Treatment strategies to overcome antibiotic buy 250mg amoxil online resistance in M. Genitalium are needed.Yang L, Xiaohong S, Wenjing L, et al. Mycoplasma genitalium buy 250mg amoxil online in symptomatic male urethritis. Macrolide use is associated with increased resistance. Clin Infect Dis 2020;5:805–10.

Doi:10.1093/cid/ciz294.A new entry buy 250mg amoxil online inhibitor offers promise for treatment-experienced patients with multidrug-resistant HIVFostemsavir, the prodrug of temsavir, is an attachment inhibitor. By targeting the gp120 protein on the HIV-1 envelope, it prevents viral interaction with the CD4 receptor. No cross-resistance has been described with other antiretroviral agents, including those that target viral entry by other modalities buy 250mg amoxil online. In the phase III BRIGHTE trial, 371 highly treatment-experienced patients who had exhausted ≥4 classes of antiretrovirals received fostemsavir with an optimised regimen. After 48 weeks, 54% of those with 1–2 additional active drugs achieved viral load suppression <40 copies/mL buy 250mg amoxil online.

Response rates were 38% among patients lacking other active agents. Drug-related adverse events included nausea buy 250mg amoxil online (4%) and diarrhoea (3%). As gp120 substitutions reduced fostemsavir susceptibility in up to 70% of patients with virological failure, fostemsavir offers the most valuable salvage option in partnership with other active drugs.Kozal M, Aberg J, Pialoux G, et al. Fostemsavir in adults with multidrug-resistant HIV-1 infection buy 250mg amoxil online. N Engl J Med 2020;382:1232–43.

Doi. 10.1056/NEJMoa1902493Novel tools to aid identification of hepatitis C in primary careHepatitis C can now be cured with oral antiviral treatment, and improving diagnosis is a key element of elimination strategies.1 A cluster randomised controlled trial in South West England tested performance and cost-effectiveness of an electronic algorithm that identified at-risk patients in primary care according to national recommendations,2 coupled with educational activities and interventions to increase patients’ awareness. Outcomes were testing uptake, diagnosis and referral to specialist care. Practices in the intervention arm had an increase in all outcome measures, with adjusted risk ratios of 1.59 (1.21–2.08) for uptake, 2.24 (1.47–3.42) for diagnosis and 5.78 (1.60–21.6) for referral. The intervention was highly cost-effective.

Electronic algorithms applied to practice systems could enhance testing and diagnosis of hepatitis C in primary care, contributing to global elimination goals.Roberts K, Macleod J, Metcalfe C, et al. Cost-effectiveness of an intervention to increase uptake of hepatitis C virus testing and treatment (HepCATT). Cluster randomised controlled trial in primary care. BMJ 2020;368:m322. Doi:10.1136/bmj.m322Low completion rates for antiretroviral postexposure prophylaxis (PEP) after sexual assaultA 4-week course of triple-agent postexposure prophylaxis (PEP) is recommended following a high-risk sexual assault.3 4 A retrospective study in Barcelona identified 1695 victims attending an emergency room (ER) between 2006 and 2015.

Overall, 883 (52%) started prophylaxis in ER, which was mostly (43%) lopinavir/ritonavir based. Follow-up appointments were arranged for those living in Catalonia (631, 71.5%), and of these, only 183 (29%) completed treatment. Loss to follow-up was more prevalent in those residing outside Barcelona. PEP non-completion was associated with a low perceived risk, previous assaults, a known aggressor and a positive cocaine test. Side effects were common, occurring in up to 65% of those taking lopinavir/ritonavir and accounting for 15% of all discontinuations.

More tolerable PEP regimens, accessible follow-up and provision of 1-month supply may improve completion rates.Inciarte A, Leal L, Masfarre L, et al. Postexposure prophylaxis for HIV infection in sexual assault victims. HIV Med 2020;21:43–52. Doi:10.1111/hiv.12797.Effective antiretroviral therapy reduces anal high-risk HPV infection and cancer riskAmong people with HIV, effective antiretroviral therapy (ART) is expected to improve control of anal infection with high-risk human papillomavirus (HR-HPV) and reduce the progression of HPV-associated buy generic amoxil anal lesions. The magnitude of the effect is not well established.

By meta-analysis, people on established ART (vs ART-naive) had a 35% lower prevalence of HR-HPV infection, and those with undetectable viral load (vs detectable viral load) had a 27% and 16% reduced risk of low and high-grade anal lesions, respectively. Sustained virological suppression on ART reduced by 44% the risk of anal cancer. The role of effective ART in reducing anal HR-HPV infection and cancer risks is especially salient given current limitations in anal cancer screening, high rates of anal lesion recurrence and access to vaccination.Kelly H, Chikandiwa A, Alemany Vilches L, et al. Association of antiretroviral therapy with anal high-risk human papillomavirus, anal intraepithelial neoplasia and anal cancer in people living with HIV. A systematic review and meta-analysis.

Lancet HIV. 2020;7:e262–78. Doi:10.1016/S2352-3018(19)30434-5.The impact of sex work laws and stigma on HIV prevention among female sex workersSex work laws and stigma have been established as structural risk factors for HIV acquisition among female sex workers (FSWs). However, individual-level data assessing these relationships are limited. A study examined individual-level data collected in 2011–2018 from 7259 FSWs across 10 sub-Saharan African countries.

An association emerged between HIV prevalence and increasingly punitive and non-protective laws. HIV prevalence among FSWs was 11.6%, 19.6% and 39.4% in contexts where sex work was partly legalised, not recognised or criminalised, respectively. Stigma measures such as fear of seeking health services, mistreatment in healthcare settings, lack of police protection, blackmail and violence were associated with higher HIV prevalence and more punitive settings. Sex work laws that protect sex workers and reduce structural risks are needed.Lyons CE, Schwartz SR, Murray SM, et al. The role of sex work laws and stigmas in increasing HIV risks among sex workers.

Nat Commun 2020;11:773. Doi:10.1038/s41467-020-14593-6.BackgroundCumbria Sexual Health Services (CSHS) in collaboration with Cumbria Public Health and local authorities have established a COVID-19 contact tracing pathway for Cumbria. The local system was live 10 days prior to the national system on 18 May 2020. It was designed to interface and dovetail with the government’s track and trace programme.Our involvement in this initiative was due to a chance meeting between Professor Matt Phillips, Consultant in Sexual Health and HIV, and the Director of Public Health Cumbria, Colin Cox. Colin knew that Cumbria needed to act fast to prevent the transmission of COVID-19 and Matt knew that sexual health had the skills to help.ProcessDespite over 90% of the staff from CSHS being redeployed in March 2020, CSHS maintained urgent sexual healthcare for the county and a phone line for advice and guidance.

As staff began to return to the service in May 2020 we had capacity to spare seven staff members, whose hours were the equivalent of four full-time staff. We had one system administrator, three healthcare assistants, one nurse, Health Advisor Helen Musker and myself.CSHS were paramount to the speed with which the local system began. Following approval from the Trust’s chief executive officer we had adapted our electronic patient records (EPR) system, developed a standard operating procedure and trained staff, using a stepwise competency model, within just 1 day.In collaboration with the local laboratories we developed methods for the input of positive COVID-19 results into our EPR derivative. We ensured that labs would be able to cope with the increase in testing and that testing hubs had additional capacity. Testing sites and occupational health were asked to inform patients that if they tested positive they would be contacted by our teams.This initiative involved a multiagency system including local public health (PH) teams, local authority, North Cumbria and Morecambe Bay CCGs, Public Health England (PHE) and the military.

If CSHS recognise more than one positive result in the same area/organisation, they flag this with PH at the daily incident management meeting and environmental health officers (EHOs) provide advice and guidance for the organisation. We have had an active role in the contact tracing for clusters in local general practices, providing essential information to PH to enable them to initiate outbreak control and provide accurate advice to the practices. We are an integral part in recognising cases in large organisations and ensuring prompt action is taken to stem the spread of the disease. The team have provided out-of-hours work to ensure timely and efficient action is taken for all contacts.The local contact tracing pilot has evolved and a database was established by local authorities. Our data fed directly into this from the end of May 2020.

This enables the multiagency team to record data in one place, improving recognition of patterns of transmission.DiscussionCumbria is covered by three National Health Service Trusts, which meant accessing data outside of our Trust was challenging and took more time to establish. There are two CCGs for Cumbria, which meant discussions regarding testing were needed with both North and South CCGs and variations in provision had to be accounted for. There are six boroughs in Cumbria with different teams of EHOs working in each. With so many people involved, not only is there need for large-scale frequent communication across a multisystem team, there is also inevitable duplication of work.Lockdown is easing and sexual health clinics are increasing capacity in a new world of virtual appointments and reduced face-to-face consultations. Staff within the contact tracing team are now balancing their commitments across both teams to maintain their skills and keep abreast of the rapid developments within our service due to COVID-19.

We are currently applying for funding from PH in order to second staff and backfill posts in sexual health.ConclusionCSHS have been able to lend our skills effectively to the local contact tracing efforts. We have expedited the contact tracing in Cumbria and provided crucial information to help contain outbreaks. It has had a positive effect on staff morale within the service and we have gained national recognition for our work. We have developed excellent relationships with our local PH team, PHE, Cumbria Council, EHOs and both CCGs.Cumbria has the infrastructure to meet the demands of a second wave of COVID-19. The beauty of this model is that if we are faced with a second lockdown, sexual health staff will inevitably be available to help with the increased demand for contact tracing.

Our ambition is that this model will be replicated nationally..

High burden of antibiotic-resistant Mycoplasma genitalium in low cost amoxil symptomatic urethritisMycoplasma http://cz.keimfarben.de/can-i-get-amoxil-over-the-counter/ genitalium is an aetiological agent of sexually transmitted urethritis. A cohort study investigated M. Genitalium prevalence, low cost amoxil antibiotic resistance and association with previous macrolide exposure among 1816 Chinese men who presented with symptomatic urethritis between 2011 and 2015. Infection was diagnosed by PCR, and sequencing was used to detect mutations that confer resistance to macrolides and fluoroquinolones.

In 11% of low cost amoxil men, M. Genitalium was the sole pathogen identified. Nearly 90% of infections were resistant to low cost amoxil macrolides and fluoroquinolones. Previous macrolide exposure was associated with higher prevalence of resistance (97%).

The findings point to the low cost amoxil need for routine screening for M. Genitalium in symptomatic men with urethritis. Treatment strategies to low cost amoxil overcome antibiotic resistance in M. Genitalium are needed.Yang L, Xiaohong S, Wenjing L, et al.

Mycoplasma genitalium in symptomatic male urethritis low cost amoxil. Macrolide use is associated with increased resistance. Clin Infect Dis 2020;5:805–10. Doi:10.1093/cid/ciz294.A new entry inhibitor offers promise for treatment-experienced patients low cost amoxil with multidrug-resistant HIVFostemsavir, the prodrug of temsavir, is an attachment inhibitor.

By targeting the gp120 protein on the HIV-1 envelope, it prevents viral interaction with the CD4 receptor. No cross-resistance has been described with other low cost amoxil antiretroviral agents, including those that target viral entry by other modalities. In the phase III BRIGHTE trial, 371 highly treatment-experienced patients who had exhausted ≥4 classes of antiretrovirals received fostemsavir with an optimised regimen. After 48 weeks, 54% of those with 1–2 additional active drugs achieved viral low cost amoxil load suppression <40 copies/mL.

Response rates were 38% among patients lacking other active agents. Drug-related adverse low cost amoxil events included nausea (4%) and diarrhoea (3%). As gp120 substitutions reduced fostemsavir susceptibility in up to 70% of patients with virological failure, fostemsavir offers the most valuable salvage option in partnership with other active drugs.Kozal M, Aberg J, Pialoux G, et al. Fostemsavir in adults with low cost amoxil multidrug-resistant HIV-1 infection.

N Engl J Med 2020;382:1232–43. Doi. 10.1056/NEJMoa1902493Novel tools to aid identification of hepatitis C in primary careHepatitis C can now be cured with oral antiviral treatment, and improving diagnosis is a key element of elimination strategies.1 A cluster randomised controlled trial in South West England tested performance and cost-effectiveness of an electronic algorithm that identified at-risk patients in primary care according to national recommendations,2 coupled with educational activities and interventions to increase patients’ awareness. Outcomes were testing uptake, diagnosis and referral to specialist care.

Practices in the intervention arm had an increase in all outcome measures, with adjusted risk ratios of 1.59 (1.21–2.08) for uptake, 2.24 (1.47–3.42) for diagnosis and 5.78 (1.60–21.6) for referral. The intervention was highly cost-effective. Electronic algorithms applied to practice systems could enhance testing and diagnosis of hepatitis C in primary care, contributing to global elimination goals.Roberts K, Macleod J, Metcalfe C, et al. Cost-effectiveness of an intervention to increase uptake of hepatitis C virus testing and treatment (HepCATT).

Cluster randomised controlled trial in primary care. BMJ 2020;368:m322. Doi:10.1136/bmj.m322Low completion rates for antiretroviral postexposure prophylaxis (PEP) after sexual assaultA 4-week course of triple-agent postexposure prophylaxis (PEP) is recommended following a high-risk sexual assault.3 4 A retrospective study in Barcelona identified 1695 victims attending an emergency room (ER) between 2006 and 2015. Overall, 883 (52%) started prophylaxis in ER, which was mostly (43%) lopinavir/ritonavir based.

Follow-up appointments were arranged for those living in Catalonia (631, 71.5%), and of these, only 183 (29%) completed treatment. Loss to follow-up was more prevalent in those residing outside Barcelona. PEP non-completion was associated with a low perceived risk, previous assaults, a known aggressor and a positive cocaine test. Side effects were common, occurring in up to 65% of those taking lopinavir/ritonavir and accounting for 15% of all discontinuations.

More tolerable PEP regimens, accessible follow-up and provision of 1-month supply may improve completion rates.Inciarte A, Leal L, Masfarre L, et al. Postexposure prophylaxis for HIV infection in sexual assault victims. HIV Med 2020;21:43–52. Doi:10.1111/hiv.12797.Effective antiretroviral therapy reduces anal high-risk HPV infection and cancer riskAmong people with HIV, effective antiretroviral therapy (ART) is expected to improve control of anal infection with high-risk human papillomavirus (HR-HPV) and reduce the progression of HPV-associated anal lesions.

The magnitude of the effect is not well established. By meta-analysis, people on established ART (vs ART-naive) had a 35% lower prevalence of HR-HPV infection, and those with undetectable viral load (vs detectable viral load) had a 27% and 16% reduced risk of low and high-grade anal lesions, respectively. Sustained virological suppression on ART reduced by 44% the risk of anal cancer. The role of effective ART in reducing anal HR-HPV infection and cancer risks is especially salient given current limitations in anal cancer screening, high rates of anal lesion recurrence and access to vaccination.Kelly H, Chikandiwa A, Alemany Vilches L, et al.

Association of antiretroviral therapy with anal high-risk human papillomavirus, anal intraepithelial neoplasia and anal cancer in people living with HIV. A systematic review and meta-analysis. Lancet HIV. 2020;7:e262–78.

Doi:10.1016/S2352-3018(19)30434-5.The impact of sex work laws and stigma on HIV prevention among female sex workersSex work laws and stigma have been established as structural risk factors for HIV acquisition among female sex workers (FSWs). However, individual-level data assessing these relationships are limited. A study examined individual-level data collected in 2011–2018 from 7259 FSWs across 10 sub-Saharan African countries. An association emerged between HIV prevalence and increasingly punitive and non-protective laws.

HIV prevalence among FSWs was 11.6%, 19.6% and 39.4% in contexts where sex work was partly legalised, not recognised or criminalised, respectively. Stigma measures such as fear of seeking health services, mistreatment in healthcare settings, lack of police protection, blackmail and violence were associated with higher HIV prevalence and more punitive settings. Sex work laws that protect sex workers and reduce structural risks are needed.Lyons CE, Schwartz SR, Murray SM, et al. The role of sex work laws and stigmas in increasing HIV risks among sex workers.

Nat Commun 2020;11:773. Doi:10.1038/s41467-020-14593-6.BackgroundCumbria Sexual Health Services (CSHS) in collaboration with Cumbria Public Health and local authorities have established a COVID-19 contact tracing pathway for Cumbria. The local system was live 10 days prior to the national system on 18 May 2020. It was designed to interface and dovetail with the government’s track and trace programme.Our involvement in this initiative was due to a chance meeting between Professor Matt Phillips, Consultant in Sexual Health and HIV, and the Director of Public Health Cumbria, Colin Cox.

Colin knew that Cumbria needed to act fast to prevent the transmission of COVID-19 and Matt knew that sexual health had the skills to help.ProcessDespite over 90% of the staff from CSHS being redeployed in March 2020, CSHS maintained urgent sexual healthcare for the county and a phone line for advice and guidance. As staff began to return to the service in May 2020 we had capacity to spare seven staff members, whose hours were the equivalent of four full-time staff. We had one system administrator, three healthcare assistants, one nurse, Health Advisor Helen Musker and myself.CSHS were paramount to the speed with which the local system began. Following approval from the Trust’s chief executive officer we had adapted our electronic patient records (EPR) system, developed a standard operating procedure and trained staff, using a stepwise competency model, within just 1 day.In collaboration with the local laboratories we developed methods for the input of positive COVID-19 results into our EPR derivative.

We ensured that labs would be able to cope with the increase in testing and that testing hubs had additional capacity. Testing sites and occupational health were asked to inform patients that if they tested positive they would be contacted by our teams.This initiative involved a multiagency system including local public health (PH) teams, local authority, North Cumbria and Morecambe Bay CCGs, Public Health England (PHE) and the military. If CSHS recognise more than one positive result in the same area/organisation, they flag this with PH at the daily incident management meeting and environmental health officers (EHOs) provide advice and guidance for the organisation. We have had an active role in the contact tracing for clusters in local general practices, providing essential information to PH to enable them to initiate outbreak control and provide accurate advice to the practices.

We are an integral part in recognising cases in large organisations and ensuring prompt action is taken to stem the spread of the disease. The team have provided out-of-hours work to ensure timely and efficient action is taken for all contacts.The local contact tracing pilot has evolved and a database was established by local authorities. Our data fed directly into this from the end of May 2020. This enables the multiagency team to record data in one place, improving recognition of patterns of transmission.DiscussionCumbria is covered by three National Health Service Trusts, which meant accessing data outside of our Trust was challenging and took more time to establish.

There are two CCGs for Cumbria, which meant discussions regarding testing were needed with both North and South CCGs and variations in provision had to be accounted for. There are six boroughs in Cumbria with different teams of EHOs working in each. With so many people involved, not only is there need for large-scale frequent communication across a multisystem team, there is also inevitable duplication of work.Lockdown is easing and sexual health clinics are increasing capacity in a new world of virtual appointments and reduced face-to-face consultations. Staff within the contact tracing team are now balancing their commitments across both teams to maintain their skills and keep abreast of the rapid developments within our service due to COVID-19.

We are currently applying for funding from PH in order to second staff and backfill posts in sexual health.ConclusionCSHS have been able to lend our skills effectively to the local contact tracing efforts. We have expedited the contact tracing in Cumbria and provided crucial information to help contain outbreaks. It has had a positive effect on staff morale within the service and we have gained national recognition for our work. We have developed excellent relationships with our local PH team, PHE, Cumbria Council, EHOs and both CCGs.Cumbria has the infrastructure to meet the demands of a second wave of COVID-19.

The beauty of this model is that if we are faced with a second lockdown, sexual health staff will inevitably be available to help with the increased demand for contact tracing. Our ambition is that this model will be replicated nationally..

Amoxil ingredients

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Patients Figure amoxil ingredients http://cz.keimfarben.de/buy-real-amoxil-online/ 1. Figure 1. Enrollment and Randomization amoxil ingredients.

Of the 1107 patients who were assessed for eligibility, 1063 underwent randomization. 541 were amoxil ingredients assigned to the remdesivir group and 522 to the placebo group (Figure 1). Of those assigned to receive remdesivir, 531 patients (98.2%) received the treatment as assigned.

Forty-nine patients had remdesivir treatment discontinued before day 10 because of an adverse event or a serious adverse event other than death (36 patients) or because the patient withdrew consent (13). Of those assigned to amoxil ingredients receive placebo, 518 patients (99.2%) received placebo as assigned. Fifty-three patients discontinued placebo before day 10 because of an adverse event or a serious adverse event other than death (36 patients), because the patient withdrew consent (15), or because the patient was found to be ineligible for trial enrollment (2).

As of April 28, 2020, a total of 391 patients in the remdesivir group and 340 in the placebo group had completed the trial through amoxil ingredients day 29, recovered, or died. Eight patients who received remdesivir and 9 who received placebo terminated their participation in the trial before day 29. There were 132 patients in the amoxil ingredients remdesivir group and 169 in the placebo group who had not recovered and had not completed the day 29 follow-up visit.

The analysis population included 1059 patients for whom we have at least some postbaseline data available (538 in the remdesivir group and 521 in the placebo group). Four of the 1063 patients were not included in the primary analysis because no postbaseline data were available at the time of the database freeze. Table 1 amoxil ingredients.

Table 1. Demographic and Clinical Characteristics at Baseline amoxil ingredients. The mean age of patients was 58.9 years, and 64.3% were male (Table 1).

On the basis of the evolving epidemiology of Covid-19 during the trial, 79.8% of patients were enrolled at sites in North amoxil ingredients America, 15.3% in Europe, and 4.9% in Asia (Table S1). Overall, 53.2% of the patients were white, 20.6% were black, 12.6% were Asian, and 13.6% were designated as other or not reported. 249 (23.4%) were Hispanic or Latino.

Most patients had either one (27.0%) or two or more (52.1%) of the prespecified coexisting conditions at enrollment, most amoxil ingredients commonly hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The median number of days between symptom onset and randomization was 9 (interquartile range, 6 to 12). Nine hundred forty-three (88.7%) patients had severe disease at enrollment as defined amoxil ingredients in the Supplementary Appendix.

272 (25.6%) patients met category 7 criteria on the ordinal scale, 197 (18.5%) category 6, 421 (39.6%) category 5, and 127 (11.9%) category 4. There were 46 amoxil ingredients (4.3%) patients who had missing ordinal scale data at enrollment. No substantial imbalances in baseline characteristics were observed between the remdesivir group and the placebo group.

Primary Outcome Figure 2. Figure 2 amoxil ingredients. Kaplan–Meier Estimates of Cumulative Recoveries.

Cumulative recovery estimates amoxil ingredients are shown in the overall population (Panel A), in patients with a baseline score of 4 on the ordinal scale (not receiving oxygen. Panel B), in those with a baseline score of 5 (receiving oxygen. Panel C), in those with a baseline score of 6 (receiving amoxil ingredients high-flow oxygen or noninvasive mechanical ventilation.

Panel D), and in those with a baseline score of 7 (receiving mechanical ventilation or ECMO. Panel E). Table 2 amoxil ingredients.

Table 2. Outcomes Overall amoxil ingredients and According to Score on the Ordinal Scale in the Intention-to-Treat Population. Figure 3.

Figure 3 amoxil ingredients. Time to Recovery According to Subgroup. The widths of the confidence intervals have not been adjusted for multiplicity and therefore cannot be used to infer treatment effects.

Race and ethnic group were reported by the amoxil ingredients patients. Patients in the remdesivir group had a shorter time to recovery than patients in the placebo group (median, 11 days, as compared with 15 days. Rate ratio amoxil ingredients for recovery, 1.32.

95% confidence interval [CI], 1.12 to 1.55. P<0.001. 1059 patients (Figure 2 and Table 2).

Among patients with a baseline ordinal score of 5 (421 patients), the rate ratio for recovery was 1.47 (95% CI, 1.17 to 1.84). Among patients with a baseline score of 4 (127 patients) and those with a baseline score of 6 (197 patients), the rate ratio estimates for recovery were 1.38 (95% CI, 0.94 to 2.03) and 1.20 (95% CI, 0.79 to 1.81), respectively. For those receiving mechanical ventilation or ECMO at enrollment (baseline ordinal scores of 7.

272 patients), the rate ratio for recovery was 0.95 (95% CI, 0.64 to 1.42). A test of interaction of treatment with baseline score on the ordinal scale was not significant. An analysis adjusting for baseline ordinal score as a stratification variable was conducted to evaluate the overall effect (of the percentage of patients in each ordinal score category at baseline) on the primary outcome.

This adjusted analysis produced a similar treatment-effect estimate (rate ratio for recovery, 1.31. 95% CI, 1.12 to 1.54. 1017 patients).

Table S2 in the Supplementary Appendix shows results according to the baseline severity stratum of mild-to-moderate as compared with severe. Patients who underwent randomization during the first 10 days after the onset of symptoms had a rate ratio for recovery of 1.28 (95% CI, 1.05 to 1.57. 664 patients), whereas patients who underwent randomization more than 10 days after the onset of symptoms had a rate ratio for recovery of 1.38 (95% CI, 1.05 to 1.81.

380 patients) (Figure 3). Key Secondary Outcome The odds of improvement in the ordinal scale score were higher in the remdesivir group, as determined by a proportional odds model at the day 15 visit, than in the placebo group (odds ratio for improvement, 1.50. 95% CI, 1.18 to 1.91.

P=0.001. 844 patients) (Table 2 and Fig. S5).

Mortality was numerically lower in the remdesivir group than in the placebo group, but the difference was not significant (hazard ratio for death, 0.70. 95% CI, 0.47 to 1.04. 1059 patients).

The Kaplan–Meier estimates of mortality by 14 days were 7.1% and 11.9% in the remdesivir and placebo groups, respectively (Table 2). The Kaplan–Meier estimates of mortality by 28 days are not reported in this preliminary analysis, given the large number of patients that had yet to complete day 29 visits. An analysis with adjustment for baseline ordinal score as a stratification variable showed a hazard ratio for death of 0.74 (95% CI, 0.50 to 1.10).

Safety Outcomes Serious adverse events occurred in 114 patients (21.1%) in the remdesivir group and 141 patients (27.0%) in the placebo group (Table S3). 4 events (2 in each group) were judged by site investigators to be related to remdesivir or placebo. There were 28 serious respiratory failure adverse events in the remdesivir group (5.2% of patients) and 42 in the placebo group (8.0% of patients).

Acute respiratory failure, hypotension, viral pneumonia, and acute kidney injury were slightly more common among patients in the placebo group. No deaths were considered to be related to treatment assignment, as judged by the site investigators. Grade 3 or 4 adverse events occurred in 156 patients (28.8%) in the remdesivir group and in 172 in the placebo group (33.0%) (Table S4).

The most common adverse events in the remdesivir group were anemia or decreased hemoglobin (43 events [7.9%], as compared with 47 [9.0%] in the placebo group). Acute kidney injury, decreased estimated glomerular filtration rate or creatinine clearance, or increased blood creatinine (40 events [7.4%], as compared with 38 [7.3%]). Pyrexia (27 events [5.0%], as compared with 17 [3.3%]).

Hyperglycemia or increased blood glucose level (22 events [4.1%], as compared with 17 [3.3%]). And increased aminotransferase levels including alanine aminotransferase, aspartate aminotransferase, or both (22 events [4.1%], as compared with 31 [5.9%]). Otherwise, the incidence of adverse events was not found to be significantly different between the remdesivir group and the placebo group.Trial Design and Oversight The RECOVERY trial was designed to evaluate the effects of potential treatments in patients hospitalized with Covid-19 at 176 National Health Service organizations in the United Kingdom and was supported by the National Institute for Health Research Clinical Research Network.

(Details regarding this trial are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org.) The trial is being coordinated by the Nuffield Department of Population Health at the University of Oxford, the trial sponsor. Although the randomization of patients to receive dexamethasone, hydroxychloroquine, or lopinavir–ritonavir has now been stopped, the trial continues randomization to groups receiving azithromycin, tocilizumab, or convalescent plasma. Hospitalized patients were eligible for the trial if they had clinically suspected or laboratory-confirmed SARS-CoV-2 infection and no medical history that might, in the opinion of the attending clinician, put patients at substantial risk if they were to participate in the trial.

Initially, recruitment was limited to patients who were at least 18 years of age, but the age limit was removed starting on May 9, 2020. Pregnant or breast-feeding women were eligible. Written informed consent was obtained from all the patients or from a legal representative if they were unable to provide consent.

The trial was conducted in accordance with the principles of the Good Clinical Practice guidelines of the International Conference on Harmonisation and was approved by the U.K. Medicines and Healthcare Products Regulatory Agency and the Cambridge East Research Ethics Committee. The protocol with its statistical analysis plan is available at NEJM.org and on the trial website at www.recoverytrial.net.

The initial version of the manuscript was drafted by the first and last authors, developed by the writing committee, and approved by all members of the trial steering committee. The funders had no role in the analysis of the data, in the preparation or approval of the manuscript, or in the decision to submit the manuscript for publication. The first and last members of the writing committee vouch for the completeness and accuracy of the data and for the fidelity of the trial to the protocol and statistical analysis plan.

Randomization We collected baseline data using a Web-based case-report form that included demographic data, the level of respiratory support, major coexisting illnesses, suitability of the trial treatment for a particular patient, and treatment availability at the trial site. Randomization was performed with the use of a Web-based system with concealment of the trial-group assignment. Eligible and consenting patients were assigned in a 2:1 ratio to receive either the usual standard of care alone or the usual standard of care plus oral or intravenous dexamethasone (at a dose of 6 mg once daily) for up to 10 days (or until hospital discharge if sooner) or to receive one of the other suitable and available treatments that were being evaluated in the trial.

For some patients, dexamethasone was unavailable at the hospital at the time of enrollment or was considered by the managing physician to be either definitely indicated or definitely contraindicated. These patients were excluded from entry in the randomized comparison between dexamethasone and usual care and hence were not included in this report. The randomly assigned treatment was prescribed by the treating clinician.

Patients and local members of the trial staff were aware of the assigned treatments. Procedures A single online follow-up form was to be completed when the patients were discharged or had died or at 28 days after randomization, whichever occurred first. Information was recorded regarding the patients’ adherence to the assigned treatment, receipt of other trial treatments, duration of admission, receipt of respiratory support (with duration and type), receipt of renal support, and vital status (including the cause of death).

In addition, we obtained routine health care and registry data, including information on vital status (with date and cause of death), discharge from the hospital, and respiratory and renal support therapy. Outcome Measures The primary outcome was all-cause mortality within 28 days after randomization. Further analyses were specified at 6 months.

Secondary outcomes were the time until discharge from the hospital and, among patients not receiving invasive mechanical ventilation at the time of randomization, subsequent receipt of invasive mechanical ventilation (including extracorporeal membrane oxygenation) or death. Other prespecified clinical outcomes included cause-specific mortality, receipt of renal hemodialysis or hemofiltration, major cardiac arrhythmia (recorded in a subgroup), and receipt and duration of ventilation. Statistical Analysis As stated in the protocol, appropriate sample sizes could not be estimated when the trial was being planned at the start of the Covid-19 pandemic.

As the trial progressed, the trial steering committee, whose members were unaware of the results of the trial comparisons, determined that if 28-day mortality was 20%, then the enrollment of at least 2000 patients in the dexamethasone group and 4000 in the usual care group would provide a power of at least 90% at a two-sided P value of 0.01 to detect a clinically relevant proportional reduction of 20% (an absolute difference of 4 percentage points) between the two groups. Consequently, on June 8, 2020, the steering committee closed recruitment to the dexamethasone group, since enrollment had exceeded 2000 patients. For the primary outcome of 28-day mortality, the hazard ratio from Cox regression was used to estimate the mortality rate ratio.

Among the few patients (0.1%) who had not been followed for 28 days by the time of the data cutoff on July 6, 2020, data were censored either on that date or on day 29 if the patient had already been discharged. That is, in the absence of any information to the contrary, these patients were assumed to have survived for 28 days. Kaplan–Meier survival curves were constructed to show cumulative mortality over the 28-day period.

Cox regression was used to analyze the secondary outcome of hospital discharge within 28 days, with censoring of data on day 29 for patients who had died during hospitalization. For the prespecified composite secondary outcome of invasive mechanical ventilation or death within 28 days (among patients who were not receiving invasive mechanical ventilation at randomization), the precise date of invasive mechanical ventilation was not available, so a log-binomial regression model was used to estimate the risk ratio. Table 1.

Table 1. Characteristics of the Patients at Baseline, According to Treatment Assignment and Level of Respiratory Support. Through the play of chance in the unstratified randomization, the mean age was 1.1 years older among patients in the dexamethasone group than among those in the usual care group (Table 1).

To account for this imbalance in an important prognostic factor, estimates of rate ratios were adjusted for the baseline age in three categories (<70 years, 70 to 79 years, and ≥80 years). This adjustment was not specified in the first version of the statistical analysis plan but was added once the imbalance in age became apparent. Results without age adjustment (corresponding to the first version of the analysis plan) are provided in the Supplementary Appendix.

Prespecified analyses of the primary outcome were performed in five subgroups, as defined by characteristics at randomization. Age, sex, level of respiratory support, days since symptom onset, and predicted 28-day mortality risk. (One further prespecified subgroup analysis regarding race will be conducted once the data collection has been completed.) In prespecified subgroups, we estimated rate ratios (or risk ratios in some analyses) and their confidence intervals using regression models that included an interaction term between the treatment assignment and the subgroup of interest.

Chi-square tests for linear trend across the subgroup-specific log estimates were then performed in accordance with the prespecified plan. All P values are two-sided and are shown without adjustment for multiple testing. All analyses were performed according to the intention-to-treat principle.

The full database is held by the trial team, which collected the data from trial sites and performed the analyses at the Nuffield Department of Population Health, University of Oxford.Trial Population Table 1. Table 1. Characteristics of the Participants in the mRNA-1273 Trial at Enrollment.

The 45 enrolled participants received their first vaccination between March 16 and April 14, 2020 (Fig. S1). Three participants did not receive the second vaccination, including one in the 25-μg group who had urticaria on both legs, with onset 5 days after the first vaccination, and two (one in the 25-μg group and one in the 250-μg group) who missed the second vaccination window owing to isolation for suspected Covid-19 while the test results, ultimately negative, were pending.

All continued to attend scheduled trial visits. The demographic characteristics of participants at enrollment are provided in Table 1. Vaccine Safety No serious adverse events were noted, and no prespecified trial halting rules were met.

As noted above, one participant in the 25-μg group was withdrawn because of an unsolicited adverse event, transient urticaria, judged to be related to the first vaccination. Figure 1. Figure 1.

Systemic and Local Adverse Events. The severity of solicited adverse events was graded as mild, moderate, or severe (see Table S1).After the first vaccination, solicited systemic adverse events were reported by 5 participants (33%) in the 25-μg group, 10 (67%) in the 100-μg group, and 8 (53%) in the 250-μg group. All were mild or moderate in severity (Figure 1 and Table S2).

Solicited systemic adverse events were more common after the second vaccination and occurred in 7 of 13 participants (54%) in the 25-μg group, all 15 in the 100-μg group, and all 14 in the 250-μg group, with 3 of those participants (21%) reporting one or more severe events. None of the participants had fever after the first vaccination. After the second vaccination, no participants in the 25-μg group, 6 (40%) in the 100-μg group, and 8 (57%) in the 250-μg group reported fever.

One of the events (maximum temperature, 39.6°C) in the 250-μg group was graded severe. (Additional details regarding adverse events for that participant are provided in the Supplementary Appendix.) Local adverse events, when present, were nearly all mild or moderate, and pain at the injection site was common. Across both vaccinations, solicited systemic and local adverse events that occurred in more than half the participants included fatigue, chills, headache, myalgia, and pain at the injection site.

Evaluation of safety clinical laboratory values of grade 2 or higher and unsolicited adverse events revealed no patterns of concern (Supplementary Appendix and Table S3). SARS-CoV-2 Binding Antibody Responses Table 2. Table 2.

Geometric Mean Humoral Immunogenicity Assay Responses to mRNA-1273 in Participants and in Convalescent Serum Specimens. Figure 2. Figure 2.

SARS-CoV-2 Antibody and Neutralization Responses. Shown are geometric mean reciprocal end-point enzyme-linked immunosorbent assay (ELISA) IgG titers to S-2P (Panel A) and receptor-binding domain (Panel B), PsVNA ID50 responses (Panel C), and live virus PRNT80 responses (Panel D). In Panel A and Panel B, boxes and horizontal bars denote interquartile range (IQR) and median area under the curve (AUC), respectively.

Whisker endpoints are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The convalescent amoxil capsule serum panel includes specimens from 41 participants. Red dots indicate the 3 specimens that were also tested in the PRNT assay.

The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent serum panel. In Panel C, boxes and horizontal bars denote IQR and median ID50, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR.

In the convalescent serum panel, red dots indicate the 3 specimens that were also tested in the PRNT assay. The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent panel. In Panel D, boxes and horizontal bars denote IQR and median PRNT80, respectively.

Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The three convalescent serum specimens were also tested in ELISA and PsVNA assays. Because of the time-intensive nature of the PRNT assay, for this preliminary report, PRNT results were available only for the 25-μg and 100-μg dose groups.Binding antibody IgG geometric mean titers (GMTs) to S-2P increased rapidly after the first vaccination, with seroconversion in all participants by day 15 (Table 2 and Figure 2A).

Dose-dependent responses to the first and second vaccinations were evident. Receptor-binding domain–specific antibody responses were similar in pattern and magnitude (Figure 2B). For both assays, the median magnitude of antibody responses after the first vaccination in the 100-μg and 250-μg dose groups was similar to the median magnitude in convalescent serum specimens, and in all dose groups the median magnitude after the second vaccination was in the upper quartile of values in the convalescent serum specimens.

The S-2P ELISA GMTs at day 57 (299,751 [95% confidence interval {CI}, 206,071 to 436,020] in the 25-μg group, 782,719 [95% CI, 619,310 to 989,244] in the 100-μg group, and 1,192,154 [95% CI, 924,878 to 1,536,669] in the 250-μg group) exceeded that in the convalescent serum specimens (142,140 [95% CI, 81,543 to 247,768]). SARS-CoV-2 Neutralization Responses No participant had detectable PsVNA responses before vaccination. After the first vaccination, PsVNA responses were detected in less than half the participants, and a dose effect was seen (50% inhibitory dilution [ID50].

Figure 2C, Fig. S8, and Table 2. 80% inhibitory dilution [ID80].

Fig. S2 and Table S6). However, after the second vaccination, PsVNA responses were identified in serum samples from all participants.

The lowest responses were in the 25-μg dose group, with a geometric mean ID50 of 112.3 (95% CI, 71.2 to 177.1) at day 43. The higher responses in the 100-μg and 250-μg groups were similar in magnitude (geometric mean ID50, 343.8 [95% CI, 261.2 to 452.7] and 332.2 [95% CI, 266.3 to 414.5], respectively, at day 43). These responses were similar to values in the upper half of the distribution of values for convalescent serum specimens.

Before vaccination, no participant had detectable 80% live-virus neutralization at the highest serum concentration tested (1:8 dilution) in the PRNT assay. At day 43, wild-type virus–neutralizing activity capable of reducing SARS-CoV-2 infectivity by 80% or more (PRNT80) was detected in all participants, with geometric mean PRNT80 responses of 339.7 (95% CI, 184.0 to 627.1) in the 25-μg group and 654.3 (95% CI, 460.1 to 930.5) in the 100-μg group (Figure 2D). Neutralizing PRNT80 average responses were generally at or above the values of the three convalescent serum specimens tested in this assay.

Good agreement was noted within and between the values from binding assays for S-2P and receptor-binding domain and neutralizing activity measured by PsVNA and PRNT (Figs. S3 through S7), which provides orthogonal support for each assay in characterizing the humoral response induced by mRNA-1273. SARS-CoV-2 T-Cell Responses The 25-μg and 100-μg doses elicited CD4 T-cell responses (Figs.

S9 and S10) that on stimulation by S-specific peptide pools were strongly biased toward expression of Th1 cytokines (tumor necrosis factor α >. Interleukin 2 >. Interferon γ), with minimal type 2 helper T-cell (Th2) cytokine expression (interleukin 4 and interleukin 13).

CD8 T-cell responses to S-2P were detected at low levels after the second vaccination in the 100-μg dose group (Fig. S11).Trial Design and Oversight We conducted this three-group trial at 55 hospitals in Brazil. The trial was designed by the executive committee (see the Supplementary Appendix, available with the full text of this article at NEJM.org) and approved by the Brazilian National Commission for Research Ethics, the Brazilian Health Regulatory Agency (ANVISA), and ethics committees at the participating sites.

The trial was funded by the hospitals and research institutes participating in Coalition Covid-19 Brazil (see the Supplementary Appendix). EMS Pharma provided additional funding and logistic support for the trial and also donated and supplied the trial drugs. EMS Pharma had no role in the conduct of the trial, the analysis, or the decision to submit the manuscript for publication.

The trial was overseen by an independent international data and safety monitoring committee. The executive committee vouches for the completeness and accuracy of the data and for the fidelity of the trial to the protocol (available at NEJM.org). Participants The trial included consecutive patients who were 18 years of age or older and who had been hospitalized with suspected or confirmed Covid-19 with 14 or fewer days since symptom onset.

Among the reasons for exclusion from the trial were the use of supplemental oxygen at a rate of more than 4 liters per minute as administered by a nasal cannula or at a level of at least 40% as administered by a Venturi mask. The use of supplemental oxygen administered by a high-flow nasal cannula or invasive or noninvasive ventilation. Previous use of chloroquine, hydroxychloroquine, azithromycin, or any other macrolide for more than 24 hours before enrollment (and since the onset of symptoms).

And a history of severe ventricular tachycardia or electrocardiographic findings with a corrected QT interval (QTc) of at least 480 msec. Complete information on the inclusion and exclusion criteria is provided in the Supplementary Appendix. All the patients provided written or electronic informed consent before randomization.

Randomization, Interventions, and Follow-up Patients were randomly assigned in a 1:1:1 ratio to receive standard care (control group), standard care plus hydroxychloroquine at a dose of 400 mg twice daily for 7 days (hydroxychloroquine-alone group), or standard care plus hydroxychloroquine at a dose of 400 mg twice daily plus azithromycin at a dose of 500 mg once a day for 7 days. Randomization was performed in blocks of six and was stratified according to the use or nonuse of supplemental oxygen at the time of randomization. Randomization was performed centrally by means of an electronic case-report form system (RedCap) as described in the Supplementary Appendix.12 The current standard care for Covid-19 was at the discretion of the treating physicians.

The use of glucocorticoids, other immunomodulators, antibiotic agents, and antiviral agents was allowed (see the Supplementary Appendix). The administration of hydroxychloroquine or chloroquine was not allowed in the control group, and the use of macrolides was not allowed in the control group or the hydroxychloroquine-alone group. Guidance was provided to the investigators about how to adjust or interrupt treatment according to side effects and laboratory abnormalities.

Data were collected daily, from randomization until day 15, in the electronic case-report form. For patients who were discharged before day 15, a structured telephone call to the patient or the patient’s family was conducted on or after day 15 by an interviewer who was unaware of the assigned trial group in order to assess vital status and return to routine activities. Outcomes The primary outcome was clinical status at 15 days, evaluated with the use of a seven-level ordinal scale.

Scores on the scale were defined as follows. A score of 1 indicated not hospitalized with no limitations on activities. 2, not hospitalized but with limitations on activities.

3, hospitalized and not receiving supplemental oxygen. 4, hospitalized and receiving supplemental oxygen. 5, hospitalized and receiving oxygen supplementation administered by a high-flow nasal cannula or noninvasive ventilation.

6, hospitalized and receiving mechanical ventilation. And 7, death. Secondary outcomes included clinical status at 7 days, evaluated with the use of a six-level ordinal scale (see below and see the Supplementary Appendix).

An indication for intubation within 15 days. The receipt of supplemental oxygen administered by a high-flow nasal cannula or noninvasive ventilation between randomization and 15 days. Duration of hospital stay.

In-hospital death. Thromboembolic complications. Acute kidney injury.

And the number of days alive and free from respiratory support up to 15 days. A day alive and free from respiratory support was defined as any day in which the patient did not receive supplemental oxygen or invasive or noninvasive mechanical ventilation, from randomization to day 15. Patients who died during the 15-day window were assigned a value of 0 days alive and free from respiratory support in this assessment.

Safety outcomes are listed in the Supplementary Appendix. All the trial outcomes were assessed by the site investigators, who were aware of the trial-group assignments (except as noted above for patients who had been discharged before day 15 and who were assessed for the primary outcome by means of a blinded telephone interview). No formal adjudication of trial outcomes was performed.

Sample-Size Calculation and Protocol Changes We had originally planned for the trial to include 630 patients, using the intention-to-treat analysis population, with a six-level ordinal outcome as the primary outcome, as described in the Supplementary Appendix. However, before the first interim analysis was conducted, we changed the primary-outcome assessment to the seven-level ordinal scale and the main analysis population from the intention-to-treat population to a modified intention-to-treat population that included only patients with a diagnosis of Covid-19 that had been confirmed by reverse-transcriptase–polymerase-chain-reaction (RT-PCR) testing (using the test available at each site). The change to the use of the seven-level ordinal scale was adopted because on April 10, 2020 (before the first enrolled patient had reached 15 days of follow-up), we established the capability to obtain 15-day information on limitations on activities with the use of blinded telephone interviews.

We therefore added another level to the six-level ordinal outcome, dividing the first level (not hospitalized) into two levels (level 1, not hospitalized and with no limitations on activities. And level 2, not hospitalized but with limitations on activities). The change to the modified intention-to-treat population was adopted because, under the hypothesis that treatment would have beneficial effects on the primary outcome only for patients who had a confirmed diagnosis, the inclusion of unconfirmed cases would decrease the estimated effect size and power.

As a related change, we added external adjudication of unconfirmed cases, which were classified as probable, possible, or probably not Covid-19 (see the Supplementary Appendix). The sample size was revised with the use of the overall distribution of the seven-level ordinal outcome at day 15 observed among the first 120 patients, with the levels 1 through 7 having the following proportions of patients. 60%, 19%, 7%, 1%, 1%, 5%, and 7%, respectively.

With 630 patients who had undergone randomization and 510 patients included in the modified intention-to-treat analysis, we calculated that the trial would have 80% power to detect an odds ratio of 0.5 between groups (two-by-two comparisons), at a significance level of 5% and with Bonferroni adjustment for multiple comparisons (α=5%, divided by 3 for each comparison).13 Statistical Analysis The primary outcome was analyzed by mixed ordinal logistic regression with random intercept according to site, assuming proportional odds. We report all two-by-two comparisons. Binary outcomes were assessed with the use of a mixed logistic-regression model, except for in-hospital mortality, which was assessed with a Cox proportional-hazards model.

Continuous outcomes were evaluated by means of generalized linear regression or mixed models for repeated variables, as appropriate. All models were adjusted for age and the use of supplemental oxygen at admission. We also performed sensitivity analyses that included all the patients who had undergone randomization (intention-to-treat population) and sensitivity analyses for the primary outcome for the following groups.

Patients with definitive, probable, or possible Covid-19. And patients with definitive or probable Covid-19. Two additional populations were considered.

An efficacy population included patients with a confirmed diagnosis who received at least one dose of the assigned trial drug. The safety population included patients according to the medications received, regardless of the assigned trial group or the result of Covid-19 testing. We planned three interim analyses, to be conducted when 120 patients, 315 patients, and 504 patients had completed 15 days of follow-up.

However, only the first interim analysis was conducted. Owing to faster-than-expected enrollment, primary-outcome data for the second and third interim analyses were available only after trial recruitment was finished. After discussion with the data and safety monitoring committee, the second and third interim analyses were cancelled.

The data and safety monitoring committee used Haybittle–Peto14 stopping boundaries, with a P-value threshold of less than 0.001 to interrupt the trial for safety and a P-value threshold of less than 0.0001 to interrupt the trial for efficacy. We did not adjust the final values of the hypothesis test for sequential analyses. Analyses were performed with the use of R software (R Core Team).15 P values for the primary outcome were adjusted with the use of Bonferroni correction.

No P values are reported for secondary outcomes. The widths of the confidence intervals for the secondary outcomes have not been adjusted for multiple comparisons, so the intervals should not be used to infer definitive treatment effects. P values for the safety analyses were not adjusted given the importance of identifying potential signals of harm.

Additional details about the statistical analyses are provided in the Supplementary Appendix.Interactive GraphicThere is broad consensus that widespread SARS-CoV-2 testing is essential to safely reopening the United States. A big concern has been test availability, but test accuracy may prove a larger long-term problem.While debate has focused on the accuracy of antibody tests, which identify prior infection, diagnostic testing, which identifies current infection, has received less attention. But inaccurate diagnostic tests undermine efforts at containment of the pandemic.Diagnostic tests (typically involving a nasopharyngeal swab) can be inaccurate in two ways.

A false positive result erroneously labels a person infected, with consequences including unnecessary quarantine and contact tracing. False negative results are more consequential, because infected persons — who might be asymptomatic — may not be isolated and can infect others.Given the need to know how well diagnostic tests rule out infection, it’s important to review assessment of test accuracy by the Food and Drug Administration (FDA) and clinical researchers, as well as interpretation of test results in a pandemic.The FDA has granted Emergency Use Authorizations (EUAs) to commercial test manufacturers and issued guidance on test validation.1 The agency requires measurement of analytic and clinical test performance. Analytic sensitivity indicates the likelihood that the test will be positive for material containing any virus strains and the minimum concentration the test can detect.

Analytic specificity indicates the likelihood that the test will be negative for material containing pathogens other than the target virus.Clinical evaluations, assessing performance of a test on patient specimens, vary among manufacturers. The FDA prefers the use of “natural clinical specimens” but has permitted the use of “contrived specimens” produced by adding viral RNA or inactivated virus to leftover clinical material. Ordinarily, test-performance studies entail having patients undergo an index test and a “reference standard” test determining their true state.

Clinical sensitivity is the proportion of positive index tests in patients who in fact have the disease in question. Sensitivity, and its measurement, may vary with the clinical setting. For a sick person, the reference-standard test is likely to be a clinical diagnosis, ideally established by an independent adjudication panel whose members are unaware of the index-test results.

For SARS-CoV-2, it is unclear whether the sensitivity of any FDA-authorized commercial test has been assessed in this way. Under the EUAs, the FDA does allow companies to demonstrate clinical test performance by establishing the new test’s agreement with an authorized reverse-transcriptase–polymerase-chain-reaction (RT-PCR) test in known positive material from symptomatic people or contrived specimens. Use of either known positive or contrived samples may lead to overestimates of test sensitivity, since swabs may miss infected material in practice.1Designing a reference standard for measuring the sensitivity of SARS-CoV-2 tests in asymptomatic people is an unsolved problem that needs urgent attention to increase confidence in test results for contact-tracing or screening purposes.

Simply following people for the subsequent development of symptoms may be inadequate, since they may remain asymptomatic yet be infectious. Assessment of clinical sensitivity in asymptomatic people had not been reported for any commercial test as of June 1, 2020.Two studies from Wuhan, China, arouse concern about false negative RT-PCR tests in patients with apparent Covid-19 illness. In a preprint, Yang et al.

Described 213 patients hospitalized with Covid-19, of whom 37 were critically ill.2 They collected 205 throat swabs, 490 nasal swabs, and 142 sputum samples (median, 3 per patient) and used an RT-PCR test approved by the Chinese regulator. In days 1 through 7 after onset of illness, 11% of sputum, 27% of nasal, and 40% of throat samples were deemed falsely negative. Zhao et al.

Studied 173 hospitalized patients with acute respiratory symptoms and a chest CT “typical” of Covid-19, or SARS-CoV-2 detected in at least one respiratory specimen. Antibody seroconversion was observed in 93%.3 RT-PCR testing of respiratory samples taken on days 1 through 7 of hospitalization were SARS-CoV-2–positive in at least one sample from 67% of patients. Neither study reported using an independent panel, unaware of index-test results, to establish a final diagnosis of Covid-19 illness, which may have biased the researchers toward overestimating sensitivity.In a preprint systematic review of five studies (not including the Yang and Zhao studies), involving 957 patients (“under suspicion of Covid-19” or with “confirmed cases”), false negatives ranged from 2 to 29%.4 However, the certainty of the evidence was considered very low because of the heterogeneity of sensitivity estimates among the studies, lack of blinding to index-test results in establishing diagnoses, and failure to report key RT-PCR characteristics.4 Taken as a whole, the evidence, while limited, raises concern about frequent false negative RT-PCR results.If SARS-CoV-2 diagnostic tests were perfect, a positive test would mean that someone carries the virus and a negative test that they do not.

With imperfect tests, a negative result means only that a person is less likely to be infected. To calculate how likely, one can use Bayes’ theorem, which incorporates information about both the person and the accuracy of the test (recently reviewed5). For a negative test, there are two key inputs.

Pretest probability — an estimate, before testing, of the person’s chance of being infected — and test sensitivity. Pretest probability might depend on local Covid-19 prevalence, SARS-CoV-2 exposure history, and symptoms. Ideally, clinical sensitivity and specificity of each test would be measured in various clinically relevant real-life situations (e.g., varied specimen sources, timing, and illness severity).Assume that an RT-PCR test was perfectly specific (always negative in people not infected with SARS-CoV-2) and that the pretest probability for someone who, say, was feeling sick after close contact with someone with Covid-19 was 20%.

If the test sensitivity were 95% (95% of infected people test positive), the post-test probability of infection with a negative test would be 1%, which might be low enough to consider someone uninfected and may provide them assurance in visiting high-risk relatives. The post-test probability would remain below 5% even if the pretest probability were as high as 50%, a more reasonable estimate for someone with recent exposure and early symptoms in a “hot spot” area.But sensitivity for many available tests appears to be substantially lower. The studies cited above suggest that 70% is probably a reasonable estimate.

At this sensitivity level, with a pretest probability of 50%, the post-test probability with a negative test would be 23% — far too high to safely assume someone is uninfected.Chance of SARS-CoV-2 Infection, Given a Negative Test Result, According to Pretest Probability. The blue line represents a test with sensitivity of 70% and specificity of 95%. The green line represents a test with sensitivity of 90% and specificity of 95%.

The shading is the threshold for considering a person not to be infected (asserted to be 5%). Arrow A indicates that with the lower-sensitivity test, this threshold cannot be reached if the pretest probability exceeds about 15%. Arrow B indicates that for the higher-sensitivity test, the threshold can be reached up to a pretest probability of about 33%.

An of this graph is available at NEJM.org.The graph shows how the post-test probability of infection varies with the pretest probability for tests with low (70%) and high (95%) sensitivity. The horizontal line indicates a probability threshold below which it would be reasonable to act as if the person were uninfected (e.g., allowing the person to visit an elderly grandmother). Where this threshold should be set — here, 5% — is a value judgment and will vary with context (e.g., lower for people visiting a high-risk relative).

The threshold highlights why very sensitive diagnostic tests are needed. With a negative result on the low-sensitivity test, the threshold is exceeded when the pretest probability exceeds 15%, but with a high-sensitivity test, one can have a pretest probability of up to 33% and still, assuming the 5% threshold, be considered safe to be in contact with others.The graph also highlights why efforts to reduce pretest probability (e.g., by social distancing, possibly wearing masks) matter. If the pretest probability gets too high (above 50%, for example), testing loses its value because negative results cannot lower the probability of infection enough to reach the threshold.We draw several conclusions.

First, diagnostic testing will help in safely opening the country, but only if the tests are highly sensitive and validated under realistic conditions against a clinically meaningful reference standard. Second, the FDA should ensure that manufacturers provide details of tests’ clinical sensitivity and specificity at the time of market authorization. Tests without such information will have less relevance to patient care.Third, measuring test sensitivity in asymptomatic people is an urgent priority.

It will also be important to develop methods (e.g., prediction rules) for estimating the pretest probability of infection (for asymptomatic and symptomatic people) to allow calculation of post-test probabilities after positive or negative results. Fourth, negative results even on a highly sensitive test cannot rule out infection if the pretest probability is high, so clinicians should not trust unexpected negative results (i.e., assume a negative result is a “false negative” in a person with typical symptoms and known exposure). It’s possible that performing several simultaneous or repeated tests could overcome an individual test’s limited sensitivity.

However, such strategies need validation.Finally, thresholds for ruling out infection need to be developed for a variety of clinical situations. Since defining these thresholds is a value judgement, public input will be crucial..

Patients Figure low cost amoxil 1 http://cz.keimfarben.de/can-i-get-amoxil-over-the-counter/. Figure 1. Enrollment and low cost amoxil Randomization.

Of the 1107 patients who were assessed for eligibility, 1063 underwent randomization. 541 were assigned to the remdesivir group and 522 to the placebo low cost amoxil group (Figure 1). Of those assigned to receive remdesivir, 531 patients (98.2%) received the treatment as assigned.

Forty-nine patients had remdesivir treatment discontinued before day 10 because of an adverse event or a serious adverse event other than death (36 patients) or because the patient withdrew consent (13). Of those assigned low cost amoxil to receive placebo, 518 patients (99.2%) received placebo as assigned. Fifty-three patients discontinued placebo before day 10 because of an adverse event or a serious adverse event other than death (36 patients), because the patient withdrew consent (15), or because the patient was found to be ineligible for trial enrollment (2).

As of April 28, 2020, a total of 391 patients in the remdesivir group and 340 in the low cost amoxil placebo group had completed the trial through day 29, recovered, or died. Eight patients who received remdesivir and 9 who received placebo terminated their participation in the trial before day 29. There were 132 low cost amoxil patients in the remdesivir group and 169 in the placebo group who had not recovered and had not completed the day 29 follow-up visit.

The analysis population included 1059 patients for whom we have at least some postbaseline data available (538 in the remdesivir group and 521 in the placebo group). Four of the 1063 patients were not included in the primary analysis because no postbaseline data were available at the time of the database freeze. Table 1 low cost amoxil.

Table 1. Demographic and low cost amoxil Clinical Characteristics at Baseline. The mean age of patients was 58.9 years, and 64.3% were male (Table 1).

On the basis of the low cost amoxil evolving epidemiology of Covid-19 during the trial, 79.8% of patients were enrolled at sites in North America, 15.3% in Europe, and 4.9% in Asia (Table S1). Overall, 53.2% of the patients were white, 20.6% were black, 12.6% were Asian, and 13.6% were designated as other or not reported. 249 (23.4%) were Hispanic or Latino.

Most patients had either one (27.0%) or two or more low cost amoxil (52.1%) of the prespecified coexisting conditions at enrollment, most commonly hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The median number of days between symptom onset and randomization was 9 (interquartile range, 6 to 12). Nine hundred forty-three (88.7%) patients had severe disease at low cost amoxil enrollment as defined in the Supplementary Appendix.

272 (25.6%) patients met category 7 criteria on the ordinal scale, 197 (18.5%) category 6, 421 (39.6%) category 5, and 127 (11.9%) category 4. There were 46 (4.3%) patients who had missing ordinal scale low cost amoxil data at enrollment. No substantial imbalances in baseline characteristics were observed between the remdesivir group and the placebo group.

Primary Outcome Figure 2. Figure 2 low cost amoxil. Kaplan–Meier Estimates of Cumulative Recoveries.

Cumulative recovery estimates are shown in the overall population (Panel A), in patients with a baseline score of 4 on the low cost amoxil ordinal scale (not receiving oxygen. Panel B), in those with a baseline score of 5 (receiving oxygen. Panel C), low cost amoxil in those with a baseline score of 6 (receiving high-flow oxygen or noninvasive mechanical ventilation.

Panel D), and in those with a baseline score of 7 (receiving mechanical ventilation or ECMO. Panel E). Table 2 low cost amoxil.

Table 2. Outcomes Overall low cost amoxil and According to Score on the Ordinal Scale in the Intention-to-Treat Population. Figure 3.

Figure 3 low cost amoxil. Time to Recovery According to Subgroup. The widths of the confidence intervals have not been adjusted for multiplicity and therefore cannot be used to infer treatment effects.

Race and ethnic group were reported low cost amoxil by the patients. Patients in the remdesivir group had a shorter time to recovery than patients in the placebo group (median, 11 days, as compared with 15 days. Rate ratio low cost amoxil for recovery, 1.32.

95% confidence interval [CI], 1.12 to 1.55. P<0.001. 1059 patients (Figure 2 and Table 2).

Among patients with a baseline ordinal score of 5 (421 patients), the rate ratio for recovery was 1.47 (95% CI, 1.17 to 1.84). Among patients with a baseline score of 4 (127 patients) and those with a baseline score of 6 (197 patients), the rate ratio estimates for recovery were 1.38 (95% CI, 0.94 to 2.03) and 1.20 (95% CI, 0.79 to 1.81), respectively. For those receiving mechanical ventilation or ECMO at enrollment (baseline ordinal scores of 7.

272 patients), the rate ratio for recovery was 0.95 (95% CI, 0.64 to 1.42). A test of interaction of treatment with baseline score on the ordinal scale was not significant. An analysis adjusting for baseline ordinal score as a stratification variable was conducted to evaluate the overall effect (of the percentage of patients in each ordinal score category at baseline) on the primary outcome.

This adjusted analysis produced a similar treatment-effect estimate (rate ratio for recovery, 1.31. 95% CI, 1.12 to 1.54. 1017 patients).

Table S2 in the Supplementary Appendix shows results according to the baseline severity stratum of mild-to-moderate as compared with severe. Patients who underwent randomization during the first 10 days after the onset of symptoms had a rate ratio for recovery of 1.28 (95% CI, 1.05 to 1.57. 664 patients), whereas patients who underwent randomization more than 10 days after the onset of symptoms had a rate ratio for recovery of 1.38 (95% CI, 1.05 to 1.81.

380 patients) (Figure 3). Key Secondary Outcome The odds of improvement in the ordinal scale score were higher in the remdesivir group, as determined by a proportional odds model at the day 15 visit, than in the placebo group (odds ratio for improvement, 1.50. 95% CI, 1.18 to 1.91.

P=0.001. 844 patients) (Table 2 and Fig. S5).

Mortality was numerically lower in the remdesivir group than in the placebo group, but the difference was not significant (hazard ratio for death, 0.70. 95% CI, 0.47 to 1.04. 1059 patients).

The Kaplan–Meier estimates of mortality by 14 days were 7.1% and 11.9% in the remdesivir and placebo groups, respectively (Table 2). The Kaplan–Meier estimates of mortality by 28 days are not reported in this preliminary analysis, given the large number of patients that had yet to complete day 29 visits. An analysis with adjustment for baseline ordinal score as a stratification variable showed a hazard ratio for death of 0.74 (95% CI, 0.50 to 1.10).

Safety Outcomes Serious adverse events occurred in 114 patients (21.1%) in the remdesivir group and 141 patients (27.0%) in the placebo group (Table S3). 4 events (2 in each group) were judged by site investigators to be related to remdesivir or placebo. There were 28 serious respiratory failure adverse events in the remdesivir group (5.2% of patients) and 42 in the placebo group (8.0% of patients).

Acute respiratory failure, hypotension, viral pneumonia, and acute kidney injury were slightly more common among patients in the placebo group. No deaths were considered to be related to treatment assignment, as judged by the site investigators. Grade 3 or 4 adverse events occurred in 156 patients (28.8%) in the remdesivir group and in 172 in the placebo group (33.0%) (Table S4).

The most common adverse events in the remdesivir group were anemia or decreased hemoglobin (43 events [7.9%], as compared with 47 [9.0%] in the placebo group). Acute kidney injury, decreased estimated glomerular filtration rate or creatinine clearance, or increased blood creatinine (40 events [7.4%], as compared with 38 [7.3%]). Pyrexia (27 events [5.0%], as compared with 17 [3.3%]).

Hyperglycemia or increased blood glucose level (22 events [4.1%], as compared with 17 [3.3%]). And increased aminotransferase levels including alanine aminotransferase, aspartate aminotransferase, or both (22 events [4.1%], as compared with 31 [5.9%]). Otherwise, the incidence of adverse events was not found to be significantly different between the remdesivir group and the placebo group.Trial Design and Oversight The RECOVERY trial was designed to evaluate the effects of potential treatments in patients hospitalized with Covid-19 at 176 National Health Service organizations in the United Kingdom and was supported by the National Institute for Health Research Clinical Research Network.

(Details regarding this trial are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org.) The trial is being coordinated by the Nuffield Department of Population Health at the University of Oxford, the trial sponsor. Although the randomization of patients to receive dexamethasone, hydroxychloroquine, or lopinavir–ritonavir has now been stopped, the trial continues randomization to groups receiving azithromycin, tocilizumab, or convalescent plasma. Hospitalized patients were eligible for the trial if they had clinically suspected or laboratory-confirmed SARS-CoV-2 infection and no medical history that might, in the opinion of the attending clinician, put patients at substantial risk if they were to participate in the trial.

Initially, recruitment was limited to patients who were at least 18 years of age, but the age limit was removed starting on May 9, 2020. Pregnant or breast-feeding women were eligible. Written informed consent was obtained from all the patients or from a legal representative if they were unable to provide consent.

The trial was conducted in accordance with the principles of the Good Clinical Practice guidelines of the International Conference on Harmonisation and was approved by the U.K. Medicines and Healthcare Products Regulatory Agency and the Cambridge East Research Ethics Committee. The protocol with its statistical analysis plan is available at NEJM.org and on the trial website at www.recoverytrial.net.

The initial version of the manuscript was drafted by the first and last authors, developed by the writing committee, and approved by all members of the trial steering committee. The funders had no role in the analysis of the data, in the preparation or approval of the manuscript, or in the decision to submit the manuscript for publication. The first and last members of the writing committee vouch for the completeness and accuracy of the data and for the fidelity of the trial to the protocol and statistical analysis plan.

Randomization We collected baseline data using a Web-based case-report form that included demographic data, the level of respiratory support, major coexisting illnesses, suitability of the trial treatment for a particular patient, and treatment availability at the trial site. Randomization was performed with the use of a Web-based system with concealment of the trial-group assignment. Eligible and consenting patients were assigned in a 2:1 ratio to receive either the usual standard of care alone or the usual standard of care plus oral or intravenous dexamethasone (at a dose of 6 mg once daily) for up to 10 days (or until hospital discharge if sooner) or to receive one of the other suitable and available treatments that were being evaluated in the trial.

For some patients, dexamethasone was unavailable at the hospital at the time of enrollment or was considered by the managing physician to be either definitely indicated or definitely contraindicated. These patients were excluded from entry in the randomized comparison between dexamethasone and usual care and hence were not included in this report. The randomly assigned treatment was prescribed by the treating clinician.

Patients and local members of the trial staff were aware of the assigned treatments. Procedures A single online follow-up form was to be completed when the patients were discharged or had died or at 28 days after randomization, whichever occurred first. Information was recorded regarding the patients’ adherence to the assigned treatment, receipt of other trial treatments, duration of admission, receipt of respiratory support (with duration and type), receipt of renal support, and vital status (including the cause of death).

In addition, we obtained routine health care and registry data, including information on vital status (with date and cause of death), discharge from the hospital, and respiratory and renal support therapy. Outcome Measures The primary outcome was all-cause mortality within 28 days after randomization. Further analyses were specified at 6 months.

Secondary outcomes were the time until discharge from the hospital and, among patients not receiving invasive mechanical ventilation at the time of randomization, subsequent receipt of invasive mechanical ventilation (including extracorporeal membrane oxygenation) or death. Other prespecified clinical outcomes included cause-specific mortality, receipt of renal hemodialysis or hemofiltration, major cardiac arrhythmia (recorded in a subgroup), and receipt and duration of ventilation. Statistical Analysis As stated in the protocol, appropriate sample sizes could not be estimated when the trial was being planned at the start of the Covid-19 pandemic.

As the trial progressed, the trial steering committee, whose members were unaware of the results of the trial comparisons, determined that if 28-day mortality was 20%, then the enrollment of at least 2000 patients in the dexamethasone group and 4000 in the usual care group would provide a power of at least 90% at a two-sided P value of 0.01 to detect a clinically relevant proportional reduction of 20% (an absolute difference of 4 percentage points) between the two groups. Consequently, on June 8, 2020, the steering committee closed recruitment to the dexamethasone group, since enrollment had exceeded 2000 patients. For the primary outcome of 28-day mortality, the hazard ratio from Cox regression was used to estimate the mortality rate ratio.

Among the few patients (0.1%) who had not been followed for 28 days by the time of the data cutoff on July 6, 2020, data were censored either on that date or on day 29 if the patient had already been discharged. That is, in the absence of any information to the contrary, these patients were assumed to have survived for 28 days. Kaplan–Meier survival curves were constructed to show cumulative mortality over the 28-day period.

Cox regression was used to analyze the secondary outcome of hospital discharge within 28 days, with censoring of data on day 29 for patients who had died during hospitalization. For the prespecified composite secondary outcome of invasive mechanical ventilation or death within 28 days (among patients who were not receiving invasive mechanical ventilation at randomization), the precise date of invasive mechanical ventilation was not available, so a log-binomial regression model was used to estimate the risk ratio. Table 1.

Table 1. Characteristics of the Patients at Baseline, According to Treatment Assignment and Level of Respiratory Support. Through the play of chance in the unstratified randomization, the mean age was 1.1 years older among patients in the dexamethasone group than among those in the usual care group (Table 1).

To account for this imbalance in an important prognostic factor, estimates of rate ratios were adjusted for the baseline age in three categories (<70 years, 70 to 79 years, and ≥80 years). This adjustment was not specified in the first version of the statistical analysis plan but was added once the imbalance in age became apparent. Results without age adjustment (corresponding to the first version of the analysis plan) are provided in the Supplementary Appendix.

Prespecified analyses of the primary outcome were performed in five subgroups, as defined by characteristics at randomization. Age, sex, level of respiratory support, days since symptom onset, and predicted 28-day mortality risk. (One further prespecified subgroup analysis regarding race will be conducted once the data collection has been completed.) In prespecified subgroups, we estimated rate ratios (or risk ratios in some analyses) and their confidence intervals using regression models that included an interaction term between the treatment assignment and the subgroup of interest.

Chi-square tests for linear trend across the subgroup-specific log estimates were then performed in accordance with the prespecified plan. All P values are two-sided and are shown without adjustment for multiple testing. All analyses were performed according to the intention-to-treat principle.

The full database is held by the trial team, which collected the data from trial sites and performed the analyses at the Nuffield Department of Population Health, University of Oxford.Trial Population Table 1. Table 1. Characteristics of the Participants in the mRNA-1273 Trial at Enrollment.

The 45 enrolled participants received their first vaccination between March 16 and April 14, 2020 (Fig. S1). Three participants did not receive the second vaccination, including one in the 25-μg group who had urticaria on both legs, with onset 5 days after the first vaccination, and two (one in the 25-μg group and one in the 250-μg group) who missed the second vaccination window owing to isolation for suspected Covid-19 while the test results, ultimately negative, were pending.

All continued to attend scheduled trial visits. The demographic characteristics of participants at enrollment are provided in Table 1. Vaccine Safety No serious adverse events were noted, and no prespecified trial halting rules were met.

As noted above, one participant in the 25-μg group was withdrawn because of an unsolicited adverse event, transient urticaria, judged to be related to the first vaccination. Figure 1. Figure 1.

Systemic and Local Adverse Events. The severity of solicited adverse events was graded as mild, moderate, or severe (see Table S1).After the first vaccination, solicited systemic adverse events were reported by 5 participants (33%) in the 25-μg group, 10 (67%) in the 100-μg group, and 8 (53%) in the 250-μg group. All were mild or moderate in severity (Figure 1 and Table S2).

Solicited systemic adverse events were more common after the second vaccination and occurred in 7 of 13 participants (54%) in the 25-μg group, all 15 in the 100-μg group, and all 14 in the 250-μg group, with 3 of those participants (21%) reporting one or more severe events. None of the participants had fever after the first vaccination. After the second vaccination, no participants in the 25-μg group, 6 (40%) in the 100-μg group, and 8 (57%) in the 250-μg group reported fever.

One of the events (maximum temperature, 39.6°C) in the 250-μg group was graded severe. (Additional details regarding adverse events for that participant are provided in the Supplementary Appendix.) Local adverse events, when present, were nearly all mild or moderate, and pain at the injection site was common. Across both vaccinations, solicited systemic and local adverse events that occurred in more than half the participants included fatigue, chills, headache, myalgia, and pain at the injection site.

Evaluation of safety clinical laboratory values of grade 2 or higher and unsolicited adverse events revealed no patterns of concern (Supplementary Appendix and Table S3). SARS-CoV-2 Binding Antibody Responses Table 2. Table 2.

Geometric Mean Humoral Immunogenicity Assay Responses to mRNA-1273 in Participants and in Convalescent Serum Specimens. Figure 2. Figure 2.

SARS-CoV-2 Antibody and Neutralization Responses. Shown are geometric mean reciprocal end-point enzyme-linked immunosorbent assay (ELISA) IgG titers to S-2P (Panel A) and receptor-binding domain (Panel B), PsVNA ID50 responses (Panel C), and live virus PRNT80 responses (Panel D). In Panel A and Panel B, boxes and horizontal bars denote interquartile range (IQR) and median area under the curve (AUC), respectively.

Whisker endpoints are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The convalescent serum panel includes directory specimens from 41 participants. Red dots indicate the 3 specimens that were also tested in the PRNT assay.

The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent serum panel. In Panel C, boxes and horizontal bars denote IQR and median ID50, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR.

In the convalescent serum panel, red dots indicate the 3 specimens that were also tested in the PRNT assay. The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent panel. In Panel D, boxes and horizontal bars denote IQR and median PRNT80, respectively.

Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The three convalescent serum specimens were also tested in ELISA and PsVNA assays. Because of the time-intensive nature of the PRNT assay, for this preliminary report, PRNT results were available only for the 25-μg and 100-μg dose groups.Binding antibody IgG geometric mean titers (GMTs) to S-2P increased rapidly after the first vaccination, with seroconversion in all participants by day 15 (Table 2 and Figure 2A).

Dose-dependent responses to the first and second vaccinations were evident. Receptor-binding domain–specific antibody responses were similar in pattern and magnitude (Figure 2B). For both assays, the median magnitude of antibody responses after the first vaccination in the 100-μg and 250-μg dose groups was similar to the median magnitude in convalescent serum specimens, and in all dose groups the median magnitude after the second vaccination was in the upper quartile of values in the convalescent serum specimens.

The S-2P ELISA GMTs at day 57 (299,751 [95% confidence interval {CI}, 206,071 to 436,020] in the 25-μg group, 782,719 [95% CI, 619,310 to 989,244] in the 100-μg group, and 1,192,154 [95% CI, 924,878 to 1,536,669] in the 250-μg group) exceeded that in the convalescent serum specimens (142,140 [95% CI, 81,543 to 247,768]). SARS-CoV-2 Neutralization Responses No participant had detectable PsVNA responses before vaccination. After the first vaccination, PsVNA responses were detected in less than half the participants, and a dose effect was seen (50% inhibitory dilution [ID50].

Figure 2C, Fig. S8, and Table 2. 80% inhibitory dilution [ID80].

Fig. S2 and Table S6). However, after the second vaccination, PsVNA responses were identified in serum samples from all participants.

The lowest responses were in the 25-μg dose group, with a geometric mean ID50 of 112.3 (95% CI, 71.2 to 177.1) at day 43. The higher responses in the 100-μg and 250-μg groups were similar in magnitude (geometric mean ID50, 343.8 [95% CI, 261.2 to 452.7] and 332.2 [95% CI, 266.3 to 414.5], respectively, at day 43). These responses were similar to values in the upper half of the distribution of values for convalescent serum specimens.

Before vaccination, no participant had detectable 80% live-virus neutralization at the highest serum concentration tested (1:8 dilution) in the PRNT assay. At day 43, wild-type virus–neutralizing activity capable of reducing SARS-CoV-2 infectivity by 80% or more (PRNT80) was detected in all participants, with geometric mean PRNT80 responses of 339.7 (95% CI, 184.0 to 627.1) in the 25-μg group and 654.3 (95% CI, 460.1 to 930.5) in the 100-μg group (Figure 2D). Neutralizing PRNT80 average responses were generally at or above the values of the three convalescent serum specimens tested in this assay.

Good agreement was noted within and between the values from binding assays for S-2P and receptor-binding domain and neutralizing activity measured by PsVNA and PRNT (Figs. S3 through S7), which provides orthogonal support for each assay in characterizing the humoral response induced by mRNA-1273. SARS-CoV-2 T-Cell Responses The 25-μg and 100-μg doses elicited CD4 T-cell responses (Figs.

S9 and S10) that on stimulation by S-specific peptide pools were strongly biased toward expression of Th1 cytokines (tumor necrosis factor α >. Interleukin 2 >. Interferon γ), with minimal type 2 helper T-cell (Th2) cytokine expression (interleukin 4 and interleukin 13).

CD8 T-cell responses to S-2P were detected at low levels after the second vaccination in the 100-μg dose group (Fig. S11).Trial Design and Oversight We conducted this three-group trial at 55 hospitals in Brazil. The trial was designed by the executive committee (see the Supplementary Appendix, available with the full text of this article at NEJM.org) and approved by the Brazilian National Commission for Research Ethics, the Brazilian Health Regulatory Agency (ANVISA), and ethics committees at the participating sites.

The trial was funded by the hospitals and research institutes participating in Coalition Covid-19 Brazil (see the Supplementary Appendix). EMS Pharma provided additional funding and logistic support for the trial and also donated and supplied the trial drugs. EMS Pharma had no role in the conduct of the trial, the analysis, or the decision to submit the manuscript for publication.

The trial was overseen by an independent international data and safety monitoring committee. The executive committee vouches for the completeness and accuracy of the data and for the fidelity of the trial to the protocol (available at NEJM.org). Participants The trial included consecutive patients who were 18 years of age or older and who had been hospitalized with suspected or confirmed Covid-19 with 14 or fewer days since symptom onset.

Among the reasons for exclusion from the trial were the use of supplemental oxygen at a rate of more than 4 liters per minute as administered by a nasal cannula or at a level of at least 40% as administered by a Venturi mask. The use of supplemental oxygen administered by a high-flow nasal cannula or invasive or noninvasive ventilation. Previous use of chloroquine, hydroxychloroquine, azithromycin, or any other macrolide for more than 24 hours before enrollment (and since the onset of symptoms).

And a history of severe ventricular tachycardia or electrocardiographic findings with a corrected QT interval (QTc) of at least 480 msec. Complete information on the inclusion and exclusion criteria is provided in the Supplementary Appendix. All the patients provided written or electronic informed consent before randomization.

Randomization, Interventions, and Follow-up Patients were randomly assigned in a 1:1:1 ratio to receive standard care (control group), standard care plus hydroxychloroquine at a dose of 400 mg twice daily for 7 days (hydroxychloroquine-alone group), or standard care plus hydroxychloroquine at a dose of 400 mg twice daily plus azithromycin at a dose of 500 mg once a day for 7 days. Randomization was performed in blocks of six and was stratified according to the use or nonuse of supplemental oxygen at the time of randomization. Randomization was performed centrally by means of an electronic case-report form system (RedCap) as described in the Supplementary Appendix.12 The current standard care for Covid-19 was at the discretion of the treating physicians.

The use of glucocorticoids, other immunomodulators, antibiotic agents, and antiviral agents was allowed (see the Supplementary Appendix). The administration of hydroxychloroquine or chloroquine was not allowed in the control group, and the use of macrolides was not allowed in the control group or the hydroxychloroquine-alone group. Guidance was provided to the investigators about how to adjust or interrupt treatment according to side effects and laboratory abnormalities.

Data were collected daily, from randomization until day 15, in the electronic case-report form. For patients who were discharged before day 15, a structured telephone call to the patient or the patient’s family was conducted on or after day 15 by an interviewer who was unaware of the assigned trial group in order to assess vital status and return to routine activities. Outcomes The primary outcome was clinical status at 15 days, evaluated with the use of a seven-level ordinal scale.

Scores on the scale were defined as follows. A score of 1 indicated not hospitalized with no limitations on activities. 2, not hospitalized but with limitations on activities.

3, hospitalized and not receiving supplemental oxygen. 4, hospitalized and receiving supplemental oxygen. 5, hospitalized and receiving oxygen supplementation administered by a high-flow nasal cannula or noninvasive ventilation.

6, hospitalized and receiving mechanical ventilation. And 7, death. Secondary outcomes included clinical status at 7 days, evaluated with the use of a six-level ordinal scale (see below and see the Supplementary Appendix).

An indication for intubation within 15 days. The receipt of supplemental oxygen administered by a high-flow nasal cannula or noninvasive ventilation between randomization and 15 days. Duration of hospital stay.

In-hospital death. Thromboembolic complications. Acute kidney injury.

And the number of days alive and free from respiratory support up to 15 days. A day alive and free from respiratory support was defined as any day in which the patient did not receive supplemental oxygen or invasive or noninvasive mechanical ventilation, from randomization to day 15. Patients who died during the 15-day window were assigned a value of 0 days alive and free from respiratory support in this assessment.

Safety outcomes are listed in the Supplementary Appendix. All the trial outcomes were assessed by the site investigators, who were aware of the trial-group assignments (except as noted above for patients who had been discharged before day 15 and who were assessed for the primary outcome by means of a blinded telephone interview). No formal adjudication of trial outcomes was performed.

Sample-Size Calculation and Protocol Changes We had originally planned for the trial to include 630 patients, using the intention-to-treat analysis population, with a six-level ordinal outcome as the primary outcome, as described in the Supplementary Appendix. However, before the first interim analysis was conducted, we changed the primary-outcome assessment to the seven-level ordinal scale and the main analysis population from the intention-to-treat population to a modified intention-to-treat population that included only patients with a diagnosis of Covid-19 that had been confirmed by reverse-transcriptase–polymerase-chain-reaction (RT-PCR) testing (using the test available at each site). The change to the use of the seven-level ordinal scale was adopted because on April 10, 2020 (before the first enrolled patient had reached 15 days of follow-up), we established the capability to obtain 15-day information on limitations on activities with the use of blinded telephone interviews.

We therefore added another level to the six-level ordinal outcome, dividing the first level (not hospitalized) into two levels (level 1, not hospitalized and with no limitations on activities. And level 2, not hospitalized but with limitations on activities). The change to the modified intention-to-treat population was adopted because, under the hypothesis that treatment would have beneficial effects on the primary outcome only for patients who had a confirmed diagnosis, the inclusion of unconfirmed cases would decrease the estimated effect size and power.

As a related change, we added external adjudication of unconfirmed cases, which were classified as probable, possible, or probably not Covid-19 (see the Supplementary Appendix). The sample size was revised with the use of the overall distribution of the seven-level ordinal outcome at day 15 observed among the first 120 patients, with the levels 1 through 7 having the following proportions of patients. 60%, 19%, 7%, 1%, 1%, 5%, and 7%, respectively.

With 630 patients who had undergone randomization and 510 patients included in the modified intention-to-treat analysis, we calculated that the trial would have 80% power to detect an odds ratio of 0.5 between groups (two-by-two comparisons), at a significance level of 5% and with Bonferroni adjustment for multiple comparisons (α=5%, divided by 3 for each comparison).13 Statistical Analysis The primary outcome was analyzed by mixed ordinal logistic regression with random intercept according to site, assuming proportional odds. We report all two-by-two comparisons. Binary outcomes were assessed with the use of a mixed logistic-regression model, except for in-hospital mortality, which was assessed with a Cox proportional-hazards model.

Continuous outcomes were evaluated by means of generalized linear regression or mixed models for repeated variables, as appropriate. All models were adjusted for age and the use of supplemental oxygen at admission. We also performed sensitivity analyses that included all the patients who had undergone randomization (intention-to-treat population) and sensitivity analyses for the primary outcome for the following groups.

Patients with definitive, probable, or possible Covid-19. And patients with definitive or probable Covid-19. Two additional populations were considered.

An efficacy population included patients with a confirmed diagnosis who received at least one dose of the assigned trial drug. The safety population included patients according to the medications received, regardless of the assigned trial group or the result of Covid-19 testing. We planned three interim analyses, to be conducted when 120 patients, 315 patients, and 504 patients had completed 15 days of follow-up.

However, only the first interim analysis was conducted. Owing to faster-than-expected enrollment, primary-outcome data for the second and third interim analyses were available only after trial recruitment was finished. After discussion with the data and safety monitoring committee, the second and third interim analyses were cancelled.

The data and safety monitoring committee used Haybittle–Peto14 stopping boundaries, with a P-value threshold of less than 0.001 to interrupt the trial for safety and a P-value threshold of less than 0.0001 to interrupt the trial for efficacy. We did not adjust the final values of the hypothesis test for sequential analyses. Analyses were performed with the use of R software (R Core Team).15 P values for the primary outcome were adjusted with the use of Bonferroni correction.

No P values are reported for secondary outcomes. The widths of the confidence intervals for the secondary outcomes have not been adjusted for multiple comparisons, so the intervals should not be used to infer definitive treatment effects. P values for the safety analyses were not adjusted given the importance of identifying potential signals of harm.

Additional details about the statistical analyses are provided in the Supplementary Appendix.Interactive GraphicThere is broad consensus that widespread SARS-CoV-2 testing is essential to safely reopening the United States. A big concern has been test availability, but test accuracy may prove a larger long-term problem.While debate has focused on the accuracy of antibody tests, which identify prior infection, diagnostic testing, which identifies current infection, has received less attention. But inaccurate diagnostic tests undermine efforts at containment of the pandemic.Diagnostic tests (typically involving a nasopharyngeal swab) can be inaccurate in two ways.

A false positive result erroneously labels a person infected, with consequences including unnecessary quarantine and contact tracing. False negative results are more consequential, because infected persons — who might be asymptomatic — may not be isolated and can infect others.Given the need to know how well diagnostic tests rule out infection, it’s important to review assessment of test accuracy by the Food and Drug Administration (FDA) and clinical researchers, as well as interpretation of test results in a pandemic.The FDA has granted Emergency Use Authorizations (EUAs) to commercial test manufacturers and issued guidance on test validation.1 The agency requires measurement of analytic and clinical test performance. Analytic sensitivity indicates the likelihood that the test will be positive for material containing any virus strains and the minimum concentration the test can detect.

Analytic specificity indicates the likelihood that the test will be negative for material containing pathogens other than the target virus.Clinical evaluations, assessing performance of a test on patient specimens, vary among manufacturers. The FDA prefers the use of “natural clinical specimens” but has permitted the use of “contrived specimens” produced by adding viral RNA or inactivated virus to leftover clinical material. Ordinarily, test-performance studies entail having patients undergo an index test and a “reference standard” test determining their true state.

Clinical sensitivity is the proportion of positive index tests in patients who in fact have the disease in question. Sensitivity, and its measurement, may vary with the clinical setting. For a sick person, the reference-standard test is likely to be a clinical diagnosis, ideally established by an independent adjudication panel whose members are unaware of the index-test results.

For SARS-CoV-2, it is unclear whether the sensitivity of any FDA-authorized commercial test has been assessed in this way. Under the EUAs, the FDA does allow companies to demonstrate clinical test performance by establishing the new test’s agreement with an authorized reverse-transcriptase–polymerase-chain-reaction (RT-PCR) test in known positive material from symptomatic people or contrived specimens. Use of either known positive or contrived samples may lead to overestimates of test sensitivity, since swabs may miss infected material in practice.1Designing a reference standard for measuring the sensitivity of SARS-CoV-2 tests in asymptomatic people is an unsolved problem that needs urgent attention to increase confidence in test results for contact-tracing or screening purposes.

Simply following people for the subsequent development of symptoms may be inadequate, since they may remain asymptomatic yet be infectious. Assessment of clinical sensitivity in asymptomatic people had not been reported for any commercial test as of June 1, 2020.Two studies from Wuhan, China, arouse concern about false negative RT-PCR tests in patients with apparent Covid-19 illness. In a preprint, Yang et al.

Described 213 patients hospitalized with Covid-19, of whom 37 were critically ill.2 They collected 205 throat swabs, 490 nasal swabs, and 142 sputum samples (median, 3 per patient) and used an RT-PCR test approved by the Chinese regulator. In days 1 through 7 after onset of illness, 11% of sputum, 27% of nasal, and 40% of throat samples were deemed falsely negative. Zhao et al.

Studied 173 hospitalized patients with acute respiratory symptoms and a chest CT “typical” of Covid-19, or SARS-CoV-2 detected in at least one respiratory specimen. Antibody seroconversion was observed in 93%.3 RT-PCR testing of respiratory samples taken on days 1 through 7 of hospitalization were SARS-CoV-2–positive in at least one sample from 67% of patients. Neither study reported using an independent panel, unaware of index-test results, to establish a final diagnosis of Covid-19 illness, which may have biased the researchers toward overestimating sensitivity.In a preprint systematic review of five studies (not including the Yang and Zhao studies), involving 957 patients (“under suspicion of Covid-19” or with “confirmed cases”), false negatives ranged from 2 to 29%.4 However, the certainty of the evidence was considered very low because of the heterogeneity of sensitivity estimates among the studies, lack of blinding to index-test results in establishing diagnoses, and failure to report key RT-PCR characteristics.4 Taken as a whole, the evidence, while limited, raises concern about frequent false negative RT-PCR results.If SARS-CoV-2 diagnostic tests were perfect, a positive test would mean that someone carries the virus and a negative test that they do not.

With imperfect tests, a negative result means only that a person is less likely to be infected. To calculate how likely, one can use Bayes’ theorem, which incorporates information about both the person and the accuracy of the test (recently reviewed5). For a negative test, there are two key inputs.

Pretest probability — an estimate, before testing, of the person’s chance of being infected — and test sensitivity. Pretest probability might depend on local Covid-19 prevalence, SARS-CoV-2 exposure history, and symptoms. Ideally, clinical sensitivity and specificity of each test would be measured in various clinically relevant real-life situations (e.g., varied specimen sources, timing, and illness severity).Assume that an RT-PCR test was perfectly specific (always negative in people not infected with SARS-CoV-2) and that the pretest probability for someone who, say, was feeling sick after close contact with someone with Covid-19 was 20%.

If the test sensitivity were 95% (95% of infected people test positive), the post-test probability of infection with a negative test would be 1%, which might be low enough to consider someone uninfected and may provide them assurance in visiting high-risk relatives. The post-test probability would remain below 5% even if the pretest probability were as high as 50%, a more reasonable estimate for someone with recent exposure and early symptoms in a “hot spot” area.But sensitivity for many available tests appears to be substantially lower. The studies cited above suggest that 70% is probably a reasonable estimate.

At this sensitivity level, with a pretest probability of 50%, the post-test probability with a negative test would be 23% — far too high to safely assume someone is uninfected.Chance of SARS-CoV-2 Infection, Given a Negative Test Result, According to Pretest Probability. The blue line represents a test with sensitivity of 70% and specificity of 95%. The green line represents a test with sensitivity of 90% and specificity of 95%.

The shading is the threshold for considering a person not to be infected (asserted to be 5%). Arrow A indicates that with the lower-sensitivity test, this threshold cannot be reached if the pretest probability exceeds about 15%. Arrow B indicates that for the higher-sensitivity test, the threshold can be reached up to a pretest probability of about 33%.

An of this graph is available at NEJM.org.The graph shows how the post-test probability of infection varies with the pretest probability for tests with low (70%) and high (95%) sensitivity. The horizontal line indicates a probability threshold below which it would be reasonable to act as if the person were uninfected (e.g., allowing the person to visit an elderly grandmother). Where this threshold should be set — here, 5% — is a value judgment and will vary with context (e.g., lower for people visiting a high-risk relative).

The threshold highlights why very sensitive diagnostic tests are needed. With a negative result on the low-sensitivity test, the threshold is exceeded when the pretest probability exceeds 15%, but with a high-sensitivity test, one can have a pretest probability of up to 33% and still, assuming the 5% threshold, be considered safe to be in contact with others.The graph also highlights why efforts to reduce pretest probability (e.g., by social distancing, possibly wearing masks) matter. If the pretest probability gets too high (above 50%, for example), testing loses its value because negative results cannot lower the probability of infection enough to reach the threshold.We draw several conclusions.

First, diagnostic testing will help in safely opening the country, but only if the tests are highly sensitive and validated under realistic conditions against a clinically meaningful reference standard. Second, the FDA should ensure that manufacturers provide details of tests’ clinical sensitivity and specificity at the time of market authorization. Tests without such information will have less relevance to patient care.Third, measuring test sensitivity in asymptomatic people is an urgent priority.

It will also be important to develop methods (e.g., prediction rules) for estimating the pretest probability of infection (for asymptomatic and symptomatic people) to allow calculation of post-test probabilities after positive or negative results. Fourth, negative results even on a highly sensitive test cannot rule out infection if the pretest probability is high, so clinicians should not trust unexpected negative results (i.e., assume a negative result is a “false negative” in a person with typical symptoms and known exposure). It’s possible that performing several simultaneous or repeated tests could overcome an individual test’s limited sensitivity.

However, such strategies need validation.Finally, thresholds for ruling out infection need to be developed for a variety of clinical situations. Since defining these thresholds is a value judgement, public input will be crucial..

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Trial Population amoxil overdose side effects Table how to buy amoxil online 1. Table 1. Characteristics of the Participants in the how to buy amoxil online mRNA-1273 Trial at Enrollment.

The 45 enrolled participants received their first vaccination between March 16 and April 14, 2020 (Fig. S1). Three participants did not receive the second vaccination, including one in the 25-μg group who had urticaria on both legs, with onset 5 days after the first vaccination, and two (one in the 25-μg group and one in the 250-μg group) who missed the second vaccination window owing to isolation for suspected Covid-19 while the test results, ultimately negative, were pending.

All continued to attend scheduled trial visits. The demographic characteristics of participants at enrollment are provided in Table 1. Vaccine Safety No serious adverse events were noted, and no prespecified trial halting rules were met.

As noted above, one participant in the 25-μg group was withdrawn because of an unsolicited adverse event, transient urticaria, judged to be related to the first vaccination. Figure 1. Figure 1.

Systemic and Local Adverse Events. The severity of solicited adverse events was graded as mild, moderate, or severe (see Table S1).After the first vaccination, solicited systemic adverse events were reported by 5 participants (33%) in the 25-μg group, 10 (67%) in the 100-μg group, and 8 (53%) in the 250-μg group. All were mild or moderate in severity (Figure 1 and Table S2).

Solicited systemic adverse events were more common after the second vaccination and occurred in 7 of 13 participants (54%) in the 25-μg group, all 15 in the 100-μg group, and all 14 in the 250-μg group, with 3 of those participants (21%) reporting one or more severe events. None of the participants had fever after the first vaccination. After the second vaccination, no participants in the 25-μg group, 6 (40%) in the 100-μg group, and 8 (57%) in the 250-μg group reported fever.

One of the events (maximum temperature, 39.6°C) in the 250-μg group was graded severe. (Additional details regarding adverse events for that participant are provided in the Supplementary Appendix.) Local adverse events, when present, were nearly all mild or moderate, and pain at the injection site was common. Across both vaccinations, solicited systemic and local adverse events that occurred in more than half the participants included fatigue, chills, headache, myalgia, and pain at the injection site.

Evaluation of safety clinical laboratory values of grade 2 or higher and unsolicited adverse events revealed no patterns of concern (Supplementary Appendix and Table S3). SARS-CoV-2 Binding Antibody Responses Table 2. Table 2.

Geometric Mean Humoral Immunogenicity Assay Responses to mRNA-1273 in Participants and in Convalescent Serum Specimens. Figure 2. Figure 2.

SARS-CoV-2 Antibody and Neutralization Responses. Shown are geometric mean reciprocal end-point enzyme-linked immunosorbent assay (ELISA) IgG titers to S-2P (Panel A) and receptor-binding domain (Panel B), PsVNA ID50 responses (Panel C), and live virus PRNT80 responses (Panel D). In Panel A and Panel B, boxes and horizontal bars denote interquartile range (IQR) and median area under the curve (AUC), respectively.

Whisker endpoints are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The convalescent serum panel includes specimens from 41 participants. Red dots indicate the 3 specimens that were also tested in the PRNT assay.

The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent serum panel. In Panel C, boxes and horizontal bars denote IQR and median ID50, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR.

In the convalescent serum panel, red dots indicate the 3 specimens that were also tested in the PRNT assay. The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent panel. In Panel D, boxes and horizontal bars denote IQR and median PRNT80, respectively.

Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The three convalescent serum specimens were also tested in ELISA and PsVNA assays. Because of the time-intensive nature of the PRNT assay, for this preliminary report, PRNT results were available only for the 25-μg and 100-μg dose groups.Binding antibody IgG geometric mean titers (GMTs) to S-2P increased rapidly after the first vaccination, with seroconversion in all participants by day 15 (Table 2 and Figure 2A).

Dose-dependent responses to the first and second vaccinations were evident. Receptor-binding domain–specific antibody responses were similar in pattern and magnitude (Figure 2B). For both assays, the median magnitude of antibody responses after the first vaccination in the 100-μg and 250-μg dose groups was similar to the median magnitude in convalescent serum specimens, and in all dose groups the median magnitude after the second vaccination was in the upper quartile of values in the convalescent serum specimens.

The S-2P ELISA GMTs at day 57 (299,751 [95% confidence interval {CI}, 206,071 to 436,020] in the 25-μg group, 782,719 [95% CI, 619,310 to 989,244] in the 100-μg group, and 1,192,154 [95% CI, 924,878 to 1,536,669] in the 250-μg group) exceeded that in the convalescent serum specimens (142,140 [95% CI, 81,543 to 247,768]). SARS-CoV-2 Neutralization Responses No participant had detectable PsVNA responses before vaccination. After the first vaccination, PsVNA responses were detected in less than half the participants, and a dose effect was seen (50% inhibitory dilution [ID50].

Figure 2C, Fig. S8, and Table 2. 80% inhibitory dilution [ID80].

Fig. S2 and Table S6). However, after the second vaccination, PsVNA responses were identified in serum samples from all participants.

The lowest responses were in the 25-μg dose group, with a geometric mean ID50 of 112.3 (95% CI, 71.2 to 177.1) at day 43. The higher responses in the 100-μg and 250-μg groups were similar in magnitude (geometric mean ID50, 343.8 [95% CI, 261.2 to 452.7] and 332.2 [95% CI, 266.3 to 414.5], respectively, at day 43). These responses were similar to values in the upper half of the distribution of values for convalescent serum specimens.

Before vaccination, no participant had detectable 80% live-virus neutralization at the highest serum concentration tested (1:8 dilution) in the PRNT assay. At day 43, wild-type virus–neutralizing activity capable of reducing SARS-CoV-2 infectivity by 80% or more (PRNT80) was detected in all participants, with geometric mean PRNT80 responses of 339.7 (95% CI, 184.0 to 627.1) in the 25-μg group and 654.3 (95% CI, 460.1 to 930.5) in the 100-μg group (Figure 2D). Neutralizing PRNT80 average responses were generally at or above the values of the three convalescent serum specimens tested in this assay.

Good agreement was noted within and between the values from binding assays for S-2P and receptor-binding domain and neutralizing activity measured by PsVNA and PRNT (Figs. S3 through S7), which provides orthogonal support for each assay in characterizing the humoral response induced by mRNA-1273. SARS-CoV-2 T-Cell Responses The 25-μg and 100-μg doses elicited CD4 T-cell responses (Figs.

S9 and S10) that on stimulation by S-specific peptide pools were strongly biased toward expression of Th1 cytokines (tumor necrosis factor α >. Interleukin 2 >. Interferon γ), with minimal type 2 helper T-cell (Th2) cytokine expression (interleukin 4 and interleukin 13).

CD8 T-cell responses to S-2P were detected at low levels after the second vaccination in the 100-μg dose group (Fig. S11).Patients Figure 1. Figure 1.

Enrollment and Randomization. Of the 1107 patients who were assessed for eligibility, 1063 underwent randomization. 541 were assigned to the remdesivir group and 522 to the placebo group (Figure 1).

Of those assigned to receive remdesivir, 531 patients (98.2%) received the treatment as assigned. Forty-nine patients had remdesivir treatment discontinued before day 10 because of an adverse event or a serious adverse event other than death (36 patients) or because the patient withdrew consent (13). Of those assigned to receive placebo, 518 patients (99.2%) received placebo as assigned.

Fifty-three patients discontinued placebo before day 10 because of an adverse event or a serious adverse event other than death (36 patients), because the patient withdrew consent (15), or because the patient was found to be ineligible for trial enrollment (2). As of April 28, 2020, a total of 391 patients in the remdesivir group and 340 in the placebo group had completed the trial through day 29, recovered, or died. Eight patients who received remdesivir and 9 who received placebo terminated their participation in the trial before day 29.

There were 132 patients in the remdesivir group and 169 in the placebo group who had not recovered and had not completed the day 29 follow-up visit. The analysis population included 1059 patients for whom we have at least some postbaseline data available (538 in the remdesivir group and 521 in the placebo group). Four of the 1063 patients were not included in the primary analysis because no postbaseline data were available at the time of the database freeze.

Table 1. Table 1. Demographic and Clinical Characteristics at Baseline.

The mean age of patients was 58.9 years, and 64.3% were male (Table 1). On the basis of the evolving epidemiology of Covid-19 during the trial, 79.8% of patients were enrolled at sites in North America, 15.3% in Europe, and 4.9% in Asia (Table S1). Overall, 53.2% of the patients were white, 20.6% were black, 12.6% were Asian, and 13.6% were designated as other or not reported.

249 (23.4%) were Hispanic or Latino. Most patients had either one (27.0%) or two or more (52.1%) of the prespecified coexisting conditions at enrollment, most commonly hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The median number of days between symptom onset and randomization was 9 (interquartile range, 6 to 12).

Nine hundred forty-three (88.7%) patients had severe disease at enrollment as defined in the Supplementary Appendix. 272 (25.6%) patients met category 7 criteria on the ordinal scale, 197 (18.5%) category 6, 421 (39.6%) category 5, and 127 (11.9%) category 4. There were 46 (4.3%) patients who had missing ordinal scale data at enrollment.

No substantial imbalances in baseline characteristics were observed between the remdesivir group and the placebo group. Primary Outcome Figure 2. Figure 2.

Kaplan–Meier Estimates of Cumulative Recoveries. Cumulative recovery estimates are shown in the overall population (Panel A), in patients with a baseline score of 4 on the ordinal scale (not receiving oxygen. Panel B), in those with a baseline score of 5 (receiving oxygen.

Panel C), in those with a baseline score of 6 (receiving high-flow oxygen or noninvasive mechanical ventilation. Panel D), and in those with a baseline score of 7 (receiving mechanical ventilation or ECMO. Panel E).

Table 2. Table 2. Outcomes Overall and According to Score on the Ordinal Scale in the Intention-to-Treat Population.

Figure 3. Figure 3. Time to Recovery According to Subgroup.

The widths of the confidence intervals have not been adjusted for multiplicity and therefore cannot be used to infer treatment effects. Race and ethnic group were reported by the patients. Patients in the remdesivir group had a shorter time to recovery than patients in the placebo group (median, 11 days, as compared with 15 days.

Rate ratio for recovery, 1.32. 95% confidence interval [CI], 1.12 to 1.55. P<0.001.

1059 patients (Figure 2 and Table 2). Among patients with a baseline ordinal score of 5 (421 patients), the rate ratio for recovery was 1.47 (95% CI, 1.17 to 1.84). Among patients with a baseline score of 4 (127 patients) and those with a baseline score of 6 (197 patients), the rate ratio estimates for recovery were 1.38 (95% CI, 0.94 to 2.03) and 1.20 (95% CI, 0.79 to 1.81), respectively.

For those receiving mechanical ventilation or ECMO at enrollment (baseline ordinal scores of 7. 272 patients), the rate ratio for recovery was 0.95 (95% CI, 0.64 to 1.42). A test of interaction of treatment with baseline score on the ordinal scale was not significant.

An analysis adjusting for baseline ordinal score as a stratification variable was conducted to evaluate the overall effect (of the percentage of patients in each ordinal score category at baseline) on the primary outcome. This adjusted analysis produced a similar treatment-effect estimate (rate ratio for recovery, 1.31. 95% CI, 1.12 to 1.54.

1017 patients). Table S2 in the Supplementary Appendix shows results according to the baseline severity stratum of mild-to-moderate as compared with severe. Patients who underwent randomization during the first 10 days after the onset of symptoms had a rate ratio for recovery of 1.28 (95% CI, 1.05 to 1.57.

664 patients), whereas patients who underwent randomization more than 10 days after the onset of symptoms had a rate ratio for recovery of 1.38 (95% CI, 1.05 to 1.81. 380 patients) (Figure 3). Key Secondary Outcome The odds of improvement in the ordinal scale score were higher in the remdesivir group, as determined by a proportional odds model at the day 15 visit, than in the placebo group (odds ratio for improvement, 1.50.

95% CI, 1.18 to 1.91. P=0.001. 844 patients) (Table 2 and Fig.

S5). Mortality was numerically lower in the remdesivir group than in the placebo group, but the difference was not significant (hazard ratio for death, 0.70. 95% CI, 0.47 to 1.04.

1059 patients). The Kaplan–Meier estimates of mortality by 14 days were 7.1% and 11.9% in the remdesivir and placebo groups, respectively (Table 2). The Kaplan–Meier estimates of mortality by 28 days are not reported in this preliminary analysis, given the large number of patients that had yet to complete day 29 visits.

An analysis with adjustment for baseline ordinal score as a stratification variable showed a hazard ratio for death of 0.74 (95% CI, 0.50 to 1.10). Safety Outcomes Serious adverse events occurred in 114 patients (21.1%) in the remdesivir group and 141 patients (27.0%) in the placebo group (Table S3). 4 events (2 in each group) were judged by site investigators to be related to remdesivir or placebo.

There were 28 serious respiratory failure adverse events in the remdesivir group (5.2% of patients) and 42 in the placebo group (8.0% of patients). Acute respiratory failure, hypotension, viral pneumonia, and acute kidney injury were slightly more common among patients in the placebo group. No deaths were considered to be related to treatment assignment, as judged by the site investigators.

Grade 3 or 4 adverse events occurred in 156 patients (28.8%) in the remdesivir group and in 172 in the placebo group (33.0%) (Table S4). The most common adverse events in the remdesivir group were anemia or decreased hemoglobin (43 events [7.9%], as compared with 47 [9.0%] in the placebo group). Acute kidney injury, decreased estimated glomerular filtration rate or creatinine clearance, or increased blood creatinine (40 events [7.4%], as compared with 38 [7.3%]).

Pyrexia (27 events [5.0%], as compared with 17 [3.3%]). Hyperglycemia or increased blood glucose level (22 events [4.1%], as compared with 17 [3.3%]). And increased aminotransferase levels including alanine aminotransferase, aspartate aminotransferase, or both (22 events [4.1%], as compared with 31 [5.9%]).

Otherwise, the incidence of adverse events was not found to be significantly different between the remdesivir group and the placebo group.Announced on May 15, Operation Warp Speed (OWS) — a partnership of the Department of Health and Human Services (HHS), the Department of Defense (DOD), and the private sector — aims to accelerate control of the Covid-19 pandemic by advancing development, manufacturing, and distribution of vaccines, therapeutics, and diagnostics. OWS is providing support to promising candidates and enabling the expeditious, parallel execution of the necessary steps toward approval or authorization of safe products by the Food and Drug Administration (FDA).The partnership grew out of an acknowledged need to fundamentally restructure the way the U.S. Government typically supports product development and vaccine http://cz.keimfarben.de/can-i-get-amoxil-over-the-counter/ distribution.

The initiative was premised on setting a “stretch goal” — one that initially seemed impossible but that is becoming increasingly achievable.The concept of an integrated structure for Covid-19 countermeasure research and development across the U.S. Government was based on experience with Zika and the Zika Leadership Group led by the National Institutes of Health (NIH) and the assistant secretary for preparedness and response (ASPR). One of us (M.S.) serves as OWS chief advisor.

We are drawing on expertise from the NIH, ASPR, the Centers for Disease Control and Prevention (CDC), the Biomedical Advanced Research and Development Authority (BARDA), and the DOD, including the Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense and the Defense Advanced Research Projects Agency. OWS has engaged experts in all critical aspects of medical countermeasure research, development, manufacturing, and distribution to work in close coordination.The initiative set ambitious objectives. To deliver tens of millions of doses of a SARS-CoV-2 vaccine — with demonstrated safety and efficacy, and approved or authorized by the FDA for use in the U.S.

Population — beginning at the end of 2020 and to have as many as 300 million doses of such vaccines available and deployed by mid-2021. The pace and scope of such a vaccine effort are unprecedented. The 2014 West African Ebola virus epidemic spurred rapid vaccine development, but though preclinical data existed before the outbreak, a period of 12 months was required to progress from phase 1 first-in-human trials to phase 3 efficacy trials.

OWS aims to compress this time frame even further. SARS-CoV-2 vaccine development began in January, phase 1 clinical studies in March, and the first phase 3 trials in July. Our objectives are based on advances in vaccine platform technology, improved understanding of safe and efficacious vaccine design, and similarities between the SARS-CoV-1 and SARS-CoV-2 disease mechanisms.OWS’s role is to enable, accelerate, harmonize, and advise the companies developing the selected vaccines.

The companies will execute the clinical or process development and manufacturing plans, while OWS leverages the full capacity of the U.S. Government to ensure that no technical, logistic, or financial hurdles hinder vaccine development or deployment.OWS selected vaccine candidates on the basis of four criteria. We required candidates to have robust preclinical data or early-stage clinical trial data supporting their potential for clinical safety and efficacy.

Candidates had to have the potential, with our acceleration support, to enter large phase 3 field efficacy trials this summer or fall (July to November 2020) and, assuming continued active transmission of the virus, to deliver efficacy outcomes by the end of 2020 or the first half of 2021. Candidates had to be based on vaccine-platform technologies permitting fast and effective manufacturing, and their developers had to demonstrate the industrial process scalability, yields, and consistency necessary to reliably produce more than 100 million doses by mid-2021. Finally, candidates had to use one of four vaccine-platform technologies that we believe are the most likely to yield a safe and effective vaccine against Covid-19.

The mRNA platform, the replication-defective live-vector platform, the recombinant-subunit-adjuvanted protein platform, or the attenuated replicating live-vector platform.OWS’s strategy relies on a few key principles. First, we sought to build a diverse project portfolio that includes two vaccine candidates based on each of the four platform technologies. Such diversification mitigates the risk of failure due to safety, efficacy, industrial manufacturability, or scheduling factors and may permit selection of the best vaccine platform for each subpopulation at risk for contracting or transmitting Covid-19, including older adults, frontline and essential workers, young adults, and pediatric populations.

In addition, advancing eight vaccines in parallel will increase the chances of delivering 300 million doses in the first half of 2021.Second, we must accelerate vaccine program development without compromising safety, efficacy, or product quality. Clinical development, process development, and manufacturing scale-up can be substantially accelerated by running all streams, fully resourced, in parallel. Doing so requires taking on substantial financial risk, as compared with the conventional sequential development approach.

OWS will maximize the size of phase 3 trials (30,000 to 50,000 participants each) and optimize trial-site location by consulting daily epidemiologic and disease-forecasting models to ensure the fastest path to an efficacy readout. Such large trials also increase the safety data set for each candidate vaccine.With heavy up-front investment, companies can conduct clinical operations and site preparation for these phase 3 efficacy trials even as they file their Investigational New Drug application (IND) for their phase 1 studies, thereby ensuring immediate initiation of phase 3 when they get a green light from the FDA. To permit appropriate comparisons among the vaccine candidates and to optimize vaccine utilization after approval by the FDA, the phase 3 trial end points and assay readouts have been harmonized through a collaborative effort involving the National Institute of Allergy and Infectious Diseases (NIAID), the Coronavirus Prevention Network, OWS, and the sponsor companies.Finally, OWS is supporting the companies financially and technically to commence process development and scale up manufacturing while their vaccines are in preclinical or very early clinical stages.

To ensure that industrial processes are set, running, and validated for FDA inspection when phase 3 trials end, OWS is also supporting facility building or refurbishing, equipment fitting, staff hiring and training, raw-material sourcing, technology transfer and validation, bulk product processing into vials, and acquisition of ample vials, syringes, and needles for each vaccine candidate. We aim to have stockpiled, at OWS’s expense, a few tens of millions of vaccine doses that could be swiftly deployed once FDA approval is obtained.This strategy aims to accelerate vaccine development without curtailing the critical steps required by sound science and regulatory standards. The FDA recently reissued guidance and standards that will be used to assess each vaccine for a Biologics License Application (BLA).

Alternatively, the agency could decide to issue an Emergency Use Authorization to permit vaccine administration before all BLA procedures are completed.Of the eight vaccines in OWS’s portfolio, six have been announced and partnerships executed with the companies. Moderna and Pfizer/BioNTech (both mRNA), AstraZeneca and Janssen (both replication-defective live-vector), and Novavax and Sanofi/GSK (both recombinant-subunit-adjuvanted protein). These candidates cover three of the four platform technologies and are currently in clinical trials.

The remaining two candidates will enter trials soon.Moderna developed its RNA vaccine in collaboration with the NIAID, began its phase 1 trial in March, recently published encouraging safety and immunogenicity data,1 and entered phase 3 on July 27. Pfizer and BioNTech’s RNA vaccine also produced encouraging phase 1 results2 and started its phase 3 trial on July 27. The ChAdOx replication-defective live-vector vaccine developed by AstraZeneca and Oxford University is in phase 3 trials in the United Kingdom, Brazil, and South Africa, and it should enter U.S.

Phase 3 trials in August.3 The Janssen Ad26 Covid-19 replication-defective live-vector vaccine has demonstrated excellent protection in nonhuman primate models and began its U.S. Phase 1 trial on July 27. It should be in phase 3 trials in mid-September.

Novavax completed a phase 1 trial of its recombinant-subunit-adjuvanted protein vaccine in Australia and should enter phase 3 trials in the United States by the end of September.4 Sanofi/GSK is completing preclinical development steps and plans to commence a phase 1 trial in early September and to be well into phase 3 by year’s end.5On the process-development front, the RNA vaccines are already being manufactured at scale. The other candidates are well advanced in their scale-up development, and manufacturing sites are being refurbished.While development and manufacturing proceed, the HHS–DOD partnership is laying the groundwork for vaccine distribution, subpopulation prioritization, financing, and logistic support. We are working with bioethicists and experts from the NIH, the CDC, BARDA, and the Centers for Medicare and Medicaid Services to address these critical issues.

We will receive recommendations from the CDC Advisory Committee on Immunization Practices, and we are working to ensure that the most vulnerable and at-risk persons will receive vaccine doses once they are ready. Prioritization will also depend on the relative performance of each vaccine and its suitability for particular populations. Because some technologies have limited previous data on safety in humans, the long-term safety of these vaccines will be carefully assessed using pharmacovigilance surveillance strategies.No scientific enterprise could guarantee success by January 2021, but the strategic decisions and choices we’ve made, the support the government has provided, and the accomplishments to date make us optimistic that we will succeed in this unprecedented endeavor.Trial Design and Oversight We conducted a randomized, double-blind, placebo-controlled trial to evaluate postexposure prophylaxis with hydroxychloroquine after exposure to Covid-19.12 We randomly assigned participants in a 1:1 ratio to receive either hydroxychloroquine or placebo.

Participants had known exposure (by participant report) to a person with laboratory-confirmed Covid-19, whether as a household contact, a health care worker, or a person with other occupational exposures. Trial enrollment began on March 17, 2020, with an eligibility threshold to enroll within 3 days after exposure. The objective was to intervene before the median incubation period of 5 to 6 days.

Because of limited access to prompt testing, health care workers could initially be enrolled on the basis of presumptive high-risk exposure to patients with pending tests. However, on March 23, eligibility was changed to exposure to a person with a positive polymerase-chain-reaction (PCR) assay for SARS-CoV-2, with the eligibility window extended to within 4 days after exposure. This trial was approved by the institutional review board at the University of Minnesota and conducted under a Food and Drug Administration Investigational New Drug application.

In Canada, the trial was approved by Health Canada. Ethics approvals were obtained from the Research Institute of the McGill University Health Centre, the University of Manitoba, and the University of Alberta. Participants We included participants who had household or occupational exposure to a person with confirmed Covid-19 at a distance of less than 6 ft for more than 10 minutes while wearing neither a face mask nor an eye shield (high-risk exposure) or while wearing a face mask but no eye shield (moderate-risk exposure).

Participants were excluded if they were younger than 18 years of age, were hospitalized, or met other exclusion criteria (see the Supplementary Appendix, available with the full text of this article at NEJM.org). Persons with symptoms of Covid-19 or with PCR-proven SARS-CoV-2 infection were excluded from this prevention trial but were separately enrolled in a companion clinical trial to treat early infection. Setting Recruitment was performed primarily with the use of social media outreach as well as traditional media platforms.

Participants were enrolled nationwide in the United States and in the Canadian provinces of Quebec, Manitoba, and Alberta. Participants enrolled themselves through a secure Internet-based survey using the Research Electronic Data Capture (REDCap) system.13 After participants read the consent form, their comprehension of its contents was assessed. Participants provided a digitally captured signature to indicate informed consent.

We sent follow-up e-mail surveys on days 1, 5, 10, and 14. A survey at 4 to 6 weeks asked about any follow-up testing, illness, or hospitalizations. Participants who did not respond to follow-up surveys received text messages, e-mails, telephone calls, or a combination of these to ascertain their outcomes.

When these methods were unsuccessful, the emergency contact provided by the enrollee was contacted to determine the participant’s illness and vital status. When all communication methods were exhausted, Internet searches for obituaries were performed to ascertain vital status. Interventions Randomization occurred at research pharmacies in Minneapolis and Montreal.

The trial statisticians generated a permuted-block randomization sequence using variably sized blocks of 2, 4, or 8, with stratification according to country. A research pharmacist sequentially assigned participants. The assignments were concealed from investigators and participants.

Only pharmacies had access to the randomization sequence. Hydroxychloroquine sulfate or placebo was dispensed and shipped overnight to participants by commercial courier. The dosing regimen for hydroxychloroquine was 800 mg (4 tablets) once, then 600 mg (3 tablets) 6 to 8 hours later, then 600 mg (3 tablets) daily for 4 more days for a total course of 5 days (19 tablets total).

If participants had gastrointestinal upset, they were advised to divide the daily dose into two or three doses. We chose this hydroxychloroquine dosing regimen on the basis of pharmacokinetic simulations to achieve plasma concentrations above the SARS-CoV-2 in vitro half maximal effective concentration for 14 days.14 Placebo folate tablets, which were similar in appearance to the hydroxychloroquine tablets, were prescribed as an identical regimen for the control group. Rising Pharmaceuticals provided a donation of hydroxychloroquine, and some hydroxychloroquine was purchased.

Outcomes The primary outcome was prespecified as symptomatic illness confirmed by a positive molecular assay or, if testing was unavailable, Covid-19–related symptoms. We assumed that health care workers would have access to Covid-19 testing if symptomatic. However, access to testing was limited throughout the trial period.

Covid-19–related symptoms were based on U.S. Council for State and Territorial Epidemiologists criteria for confirmed cases (positivity for SARS-Cov-2 on PCR assay), probable cases (the presence of cough, shortness of breath, or difficulty breathing, or the presence of two or more symptoms of fever, chills, rigors, myalgia, headache, sore throat, and new olfactory and taste disorders), and possible cases (the presence of one or more compatible symptoms, which could include diarrhea).15 All the participants had epidemiologic linkage,15 per trial eligibility criteria. Four infectious disease physicians who were unaware of the trial-group assignments reviewed symptomatic participants to generate a consensus with respect to whether their condition met the case definition.15 Secondary outcomes included the incidence of hospitalization for Covid-19 or death, the incidence of PCR-confirmed SARS-CoV-2 infection, the incidence of Covid-19 symptoms, the incidence of discontinuation of the trial intervention owing to any cause, and the severity of symptoms (if any) at days 5 and 14 according to a visual analogue scale (scores ranged from 0 [no symptoms] to 10 [severe symptoms]).

Data on adverse events were also collected with directed questioning for common side effects along with open-ended free text. Outcome data were measured within 14 days after trial enrollment. Outcome data including PCR testing results, possible Covid-19–related symptoms, adherence to the trial intervention, side effects, and hospitalizations were all collected through participant report.

Details of trial conduct are provided in the protocol and statistical analysis plan, available at NEJM.org. Sample Size We anticipated that illness compatible with Covid-19 would develop in 10% of close contacts exposed to Covid-19.9 Using Fisher’s exact method with a 50% relative effect size to reduce new symptomatic infections, a two-sided alpha of 0.05, and 90% power, we estimated that 621 persons would need to be enrolled in each group. With a pragmatic, Internet-based, self-referral recruitment strategy, we planned for a 20% incidence of attrition by increasing the sample size to 750 participants per group.

We specified a priori that participants who were already symptomatic on day 1 before receiving hydroxychloroquine or placebo would be excluded from the prophylaxis trial and would instead be separately enrolled in the companion symptomatic treatment trial. Because the estimates for both incident symptomatic Covid-19 after an exposure and loss to follow-up were relatively unknown in early March 2020,9 the protocol prespecified a sample-size reestimation at the second interim analysis. This reestimation, which used the incidence of new infections in the placebo group and the observed percentage of participants lost to follow-up, was aimed at maintaining the ability to detect an effect size of a 50% relative reduction in new symptomatic infections.

Interim Analyses An independent data and safety monitoring board externally reviewed the data after 25% and 50% of the participants had completed 14 days of follow-up. Stopping guidelines were provided to the data and safety monitoring board with the use of a Lan–DeMets spending function analogue of the O’Brien–Fleming boundaries for the primary outcome. A conditional power analysis was performed at the second and third interim analysis with the option of early stopping for futility.

At the second interim analysis on April 22, 2020, the sample size was reduced to 956 participants who could be evaluated with 90% power on the basis of the higher-than-expected event rate of infections in the control group. At the third interim analysis on May 6, the trial was halted on the basis of a conditional power of less than 1%, since it was deemed futile to continue. Statistical Analysis We assessed the incidence of Covid-19 disease by day 14 with Fisher’s exact test.

Secondary outcomes with respect to percentage of patients were also compared with Fisher’s exact test. Among participants in whom incident illness compatible with Covid-19 developed, we summarized the symptom severity score at day 14 with the median and interquartile range and assessed the distributions with a Kruskal–Wallis test. We conducted all analyses with SAS software, version 9.4 (SAS Institute), according to the intention-to-treat principle, with two-sided type I error with an alpha of 0.05.

For participants with missing outcome data, we conducted a sensitivity analysis with their outcomes excluded or included as an event. Subgroups that were specified a priori included type of contact (household vs. Health care), days from exposure to enrollment, age, and sex.Trial Design and Oversight The RECOVERY trial was designed to evaluate the effects of potential treatments in patients hospitalized with Covid-19 at 176 National Health Service organizations in the United Kingdom and was supported by the National Institute for Health Research Clinical Research Network.

(Details regarding this trial are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org.) The trial is being coordinated by the Nuffield Department of Population Health at the University of Oxford, the trial sponsor. Although the randomization of patients to receive dexamethasone, hydroxychloroquine, or lopinavir–ritonavir has now been stopped, the trial continues randomization to groups receiving azithromycin, tocilizumab, or convalescent plasma. Hospitalized patients were eligible for the trial if they had clinically suspected or laboratory-confirmed SARS-CoV-2 infection and no medical history that might, in the opinion of the attending clinician, put patients at substantial risk if they were to participate in the trial.

Initially, recruitment was limited to patients who were at least 18 years of age, but the age limit was removed starting on May 9, 2020. Pregnant or breast-feeding women were eligible. Written informed consent was obtained from all the patients or from a legal representative if they were unable to provide consent.

The trial was conducted in accordance with the principles of the Good Clinical Practice guidelines of the International Conference on Harmonisation and was approved by the U.K. Medicines and Healthcare Products Regulatory Agency and the Cambridge East Research Ethics Committee. The protocol with its statistical analysis plan is available at NEJM.org and on the trial website at www.recoverytrial.net.

The initial version of the manuscript was drafted by the first and last authors, developed by the writing committee, and approved by all members of the trial steering committee. The funders had no role in the analysis of the data, in the preparation or approval of the manuscript, or in the decision to submit the manuscript for publication. The first and last members of the writing committee vouch for the completeness and accuracy of the data and for the fidelity of the trial to the protocol and statistical analysis plan.

Randomization We collected baseline data using a Web-based case-report form that included demographic data, the level of respiratory support, major coexisting illnesses, suitability of the trial treatment for a particular patient, and treatment availability at the trial site. Randomization was performed with the use of a Web-based system with concealment of the trial-group assignment. Eligible and consenting patients were assigned in a 2:1 ratio to receive either the usual standard of care alone or the usual standard of care plus oral or intravenous dexamethasone (at a dose of 6 mg once daily) for up to 10 days (or until hospital discharge if sooner) or to receive one of the other suitable and available treatments that were being evaluated in the trial.

For some patients, dexamethasone was unavailable at the hospital at the time of enrollment or was considered by the managing physician to be either definitely indicated or definitely contraindicated. These patients were excluded from entry in the randomized comparison between dexamethasone and usual care and hence were not included in this report. The randomly assigned treatment was prescribed by the treating clinician.

Patients and local members of the trial staff were aware of the assigned treatments. Procedures A single online follow-up form was to be completed when the patients were discharged or had died or at 28 days after randomization, whichever occurred first. Information was recorded regarding the patients’ adherence to the assigned treatment, receipt of other trial treatments, duration of admission, receipt of respiratory support (with duration and type), receipt of renal support, and vital status (including the cause of death).

In addition, we obtained routine health care and registry data, including information on vital status (with date and cause of death), discharge from the hospital, and respiratory and renal support therapy. Outcome Measures The primary outcome was all-cause mortality within 28 days after randomization. Further analyses were specified at 6 months.

Secondary outcomes were the time until discharge from the hospital and, among patients not receiving invasive mechanical ventilation at the time of randomization, subsequent receipt of invasive mechanical ventilation (including extracorporeal membrane oxygenation) or death. Other prespecified clinical outcomes included cause-specific mortality, receipt of renal hemodialysis or hemofiltration, major cardiac arrhythmia (recorded in a subgroup), and receipt and duration of ventilation. Statistical Analysis As stated in the protocol, appropriate sample sizes could not be estimated when the trial was being planned at the start of the Covid-19 pandemic.

As the trial progressed, the trial steering committee, whose members were unaware of the results of the trial comparisons, determined that if 28-day mortality was 20%, then the enrollment of at least 2000 patients in the dexamethasone group and 4000 in the usual care group would provide a power of at least 90% at a two-sided P value of 0.01 to detect a clinically relevant proportional reduction of 20% (an absolute difference of 4 percentage points) between the two groups. Consequently, on June 8, 2020, the steering committee closed recruitment to the dexamethasone group, since enrollment had exceeded 2000 patients. For the primary outcome of 28-day mortality, the hazard ratio from Cox regression was used to estimate the mortality rate ratio.

Among the few patients (0.1%) who had not been followed for 28 days by the time of the data cutoff on July 6, 2020, data were censored either on that date or on day 29 if the patient had already been discharged. That is, in the absence of any information to the contrary, these patients were assumed to have survived for 28 days. Kaplan–Meier survival curves were constructed to show cumulative mortality over the 28-day period.

Cox regression was used to analyze the secondary outcome of hospital discharge within 28 days, with censoring of data on day 29 for patients who had died during hospitalization. For the prespecified composite secondary outcome of invasive mechanical ventilation or death within 28 days (among patients who were not receiving invasive mechanical ventilation at randomization), the precise date of invasive mechanical ventilation was not available, so a log-binomial regression model was used to estimate the risk ratio. Table 1.

Table 1. Characteristics of the Patients at Baseline, According to Treatment Assignment and Level of Respiratory Support. Through the play of chance in the unstratified randomization, the mean age was 1.1 years older among patients in the dexamethasone group than among those in the usual care group (Table 1).

To account for this imbalance in an important prognostic factor, estimates of rate ratios were adjusted for the baseline age in three categories (<70 years, 70 to 79 years, and ≥80 years). This adjustment was not specified in the first version of the statistical analysis plan but was added once the imbalance in age became apparent. Results without age adjustment (corresponding to the first version of the analysis plan) are provided in the Supplementary Appendix.

Prespecified analyses of the primary outcome were performed in five subgroups, as defined by characteristics at randomization. Age, sex, level of respiratory support, days since symptom onset, and predicted 28-day mortality risk. (One further prespecified subgroup analysis regarding race will be conducted once the data collection has been completed.) In prespecified subgroups, we estimated rate ratios (or risk ratios in some analyses) and their confidence intervals using regression models that included an interaction term between the treatment assignment and the subgroup of interest.

Chi-square tests for linear trend across the subgroup-specific log estimates were then performed in accordance with the prespecified plan. All P values are two-sided and are shown without adjustment for multiple testing. All analyses were performed according to the intention-to-treat principle.

The full database is held by the trial team, which collected the data from trial sites and performed the analyses at the Nuffield Department of Population Health, University of Oxford..

Trial Population http://cz.keimfarben.de/buy-real-amoxil-online/ Table low cost amoxil 1. Table 1. Characteristics of the Participants in the mRNA-1273 Trial low cost amoxil at Enrollment. The 45 enrolled participants received their first vaccination between March 16 and April 14, 2020 (Fig.

S1). Three participants did not receive the second vaccination, including one in the 25-μg group who had urticaria on both legs, with onset 5 days after the first vaccination, and two (one in the 25-μg group and one in the 250-μg group) who missed the second vaccination window owing to isolation for suspected Covid-19 while the test results, ultimately negative, were pending. All continued to attend scheduled trial visits. The demographic characteristics of participants at enrollment are provided in Table 1.

Vaccine Safety No serious adverse events were noted, and no prespecified trial halting rules were met. As noted above, one participant in the 25-μg group was withdrawn because of an unsolicited adverse event, transient urticaria, judged to be related to the first vaccination. Figure 1. Figure 1.

Systemic and Local Adverse Events. The severity of solicited adverse events was graded as mild, moderate, or severe (see Table S1).After the first vaccination, solicited systemic adverse events were reported by 5 participants (33%) in the 25-μg group, 10 (67%) in the 100-μg group, and 8 (53%) in the 250-μg group. All were mild or moderate in severity (Figure 1 and Table S2). Solicited systemic adverse events were more common after the second vaccination and occurred in 7 of 13 participants (54%) in the 25-μg group, all 15 in the 100-μg group, and all 14 in the 250-μg group, with 3 of those participants (21%) reporting one or more severe events.

None of the participants had fever after the first vaccination. After the second vaccination, no participants in the 25-μg group, 6 (40%) in the 100-μg group, and 8 (57%) in the 250-μg group reported fever. One of the events (maximum temperature, 39.6°C) in the 250-μg group was graded severe. (Additional details regarding adverse events for that participant are provided in the Supplementary Appendix.) Local adverse events, when present, were nearly all mild or moderate, and pain at the injection site was common.

Across both vaccinations, solicited systemic and local adverse events that occurred in more than half the participants included fatigue, chills, headache, myalgia, and pain at the injection site. Evaluation of safety clinical laboratory values of grade 2 or higher and unsolicited adverse events revealed no patterns of concern (Supplementary Appendix and Table S3). SARS-CoV-2 Binding Antibody Responses Table 2. Table 2.

Geometric Mean Humoral Immunogenicity Assay Responses to mRNA-1273 in Participants and in Convalescent Serum Specimens. Figure 2. Figure 2. SARS-CoV-2 Antibody and Neutralization Responses.

Shown are geometric mean reciprocal end-point enzyme-linked immunosorbent assay (ELISA) IgG titers to S-2P (Panel A) and receptor-binding domain (Panel B), PsVNA ID50 responses (Panel C), and live virus PRNT80 responses (Panel D). In Panel A and Panel B, boxes and horizontal bars denote interquartile range (IQR) and median area under the curve (AUC), respectively. Whisker endpoints are equal to the maximum and minimum values below or above the median ±1.5 times the IQR. The convalescent serum panel includes specimens from 41 participants.

Red dots indicate the 3 specimens that were also tested in the PRNT assay. The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent serum panel. In Panel C, boxes and horizontal bars denote IQR and median ID50, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR.

In the convalescent serum panel, red dots indicate the 3 specimens that were also tested in the PRNT assay. The other 38 specimens were used to calculate summary statistics for the box plot in the convalescent panel. In Panel D, boxes and horizontal bars denote IQR and median PRNT80, respectively. Whisker end points are equal to the maximum and minimum values below or above the median ±1.5 times the IQR.

The three convalescent serum specimens were also tested in ELISA and PsVNA assays. Because of the time-intensive nature of the PRNT assay, for this preliminary report, PRNT results were available only for the 25-μg and 100-μg dose groups.Binding antibody IgG geometric mean titers (GMTs) to S-2P increased rapidly after the first vaccination, with seroconversion in all participants by day 15 (Table 2 and Figure 2A). Dose-dependent responses to the first and second vaccinations were evident. Receptor-binding domain–specific antibody responses were similar in pattern and magnitude (Figure 2B).

For both assays, the median magnitude of antibody responses after the first vaccination in the 100-μg and 250-μg dose groups was similar to the median magnitude in convalescent serum specimens, and in all dose groups the median magnitude after the second vaccination was in the upper quartile of values in the convalescent serum specimens. The S-2P ELISA GMTs at day 57 (299,751 [95% confidence interval {CI}, 206,071 to 436,020] in the 25-μg group, 782,719 [95% CI, 619,310 to 989,244] in the 100-μg group, and 1,192,154 [95% CI, 924,878 to 1,536,669] in the 250-μg group) exceeded that in the convalescent serum specimens (142,140 [95% CI, 81,543 to 247,768]). SARS-CoV-2 Neutralization Responses No participant had detectable PsVNA responses before vaccination. After the first vaccination, PsVNA responses were detected in less than half the participants, and a dose effect was seen (50% inhibitory dilution [ID50].

Figure 2C, Fig. S8, and Table 2. 80% inhibitory dilution [ID80]. Fig.

S2 and Table S6). However, after the second vaccination, PsVNA responses were identified in serum samples from all participants. The lowest responses were in the 25-μg dose group, with a geometric mean ID50 of 112.3 (95% CI, 71.2 to 177.1) at day 43. The higher responses in the 100-μg and 250-μg groups were similar in magnitude (geometric mean ID50, 343.8 [95% CI, 261.2 to 452.7] and 332.2 [95% CI, 266.3 to 414.5], respectively, at day 43).

These responses were similar to values in the upper half of the distribution of values for convalescent serum specimens. Before vaccination, no participant had detectable 80% live-virus neutralization at the highest serum concentration tested (1:8 dilution) in the PRNT assay. At day 43, wild-type virus–neutralizing activity capable of reducing SARS-CoV-2 infectivity by 80% or more (PRNT80) was detected in all participants, with geometric mean PRNT80 responses of 339.7 (95% CI, 184.0 to 627.1) in the 25-μg group and 654.3 (95% CI, 460.1 to 930.5) in the 100-μg group (Figure 2D). Neutralizing PRNT80 average responses were generally at or above the values of the three convalescent serum specimens tested in this assay.

Good agreement was noted within and between the values from binding assays for S-2P and receptor-binding domain and neutralizing activity measured by PsVNA and PRNT (Figs. S3 through S7), which provides orthogonal support for each assay in characterizing the humoral response induced by mRNA-1273. SARS-CoV-2 T-Cell Responses The 25-μg and 100-μg doses elicited CD4 T-cell responses (Figs. S9 and S10) that on stimulation by S-specific peptide pools were strongly biased toward expression of Th1 cytokines (tumor necrosis factor α >.

Interleukin 2 >. Interferon γ), with minimal type 2 helper T-cell (Th2) cytokine expression (interleukin 4 and interleukin 13). CD8 T-cell responses to S-2P were detected at low levels after the second vaccination in the 100-μg dose group (Fig. S11).Patients Figure 1.

Figure 1. Enrollment and Randomization. Of the 1107 patients who were assessed for eligibility, 1063 underwent randomization. 541 were assigned to the remdesivir group and 522 to the placebo group (Figure 1).

Of those assigned to receive remdesivir, 531 patients (98.2%) received the treatment as assigned. Forty-nine patients had remdesivir treatment discontinued before day 10 because of an adverse event or a serious adverse event other than death (36 patients) or because the patient withdrew consent (13). Of those assigned to receive placebo, 518 patients (99.2%) received placebo as assigned. Fifty-three patients discontinued placebo before day 10 because of an adverse event or a serious adverse event other than death (36 patients), because the patient withdrew consent (15), or because the patient was found to be ineligible for trial enrollment (2).

As of April 28, 2020, a total of 391 patients in the remdesivir group and 340 in the placebo group had completed the trial through day 29, recovered, or died. Eight patients who received remdesivir and 9 who received placebo terminated their participation in the trial before day 29. There were 132 patients in the remdesivir group and 169 in the placebo group who had not recovered and had not completed the day 29 follow-up visit. The analysis population included 1059 patients for whom we have at least some postbaseline data available (538 in the remdesivir group and 521 in the placebo group).

Four of the 1063 patients were not included in the primary analysis because no postbaseline data were available at the time of the database freeze. Table 1. Table 1. Demographic and Clinical Characteristics at Baseline.

The mean age of patients was 58.9 years, and 64.3% were male (Table 1). On the basis of the evolving epidemiology of Covid-19 during the trial, 79.8% of patients were enrolled at sites in North America, 15.3% in Europe, and 4.9% in Asia (Table S1). Overall, 53.2% of the patients were white, 20.6% were black, 12.6% were Asian, and 13.6% were designated as other or not reported. 249 (23.4%) were Hispanic or Latino.

Most patients had either one (27.0%) or two or more (52.1%) of the prespecified coexisting conditions at enrollment, most commonly hypertension (49.6%), obesity (37.0%), and type 2 diabetes mellitus (29.7%). The median number of days between symptom onset and randomization was 9 (interquartile range, 6 to 12). Nine hundred forty-three (88.7%) patients had severe disease at enrollment as defined in the Supplementary Appendix. 272 (25.6%) patients met category 7 criteria on the ordinal scale, 197 (18.5%) category 6, 421 (39.6%) category 5, and 127 (11.9%) category 4.

There were 46 (4.3%) patients who had missing ordinal scale data at enrollment. No substantial imbalances in baseline characteristics were observed between the remdesivir group and the placebo group. Primary Outcome Figure 2. Figure 2.

Kaplan–Meier Estimates of Cumulative Recoveries. Cumulative recovery estimates are shown in the overall population (Panel A), in patients with a baseline score of 4 on the ordinal scale (not receiving oxygen. Panel B), in those with a baseline score of 5 (receiving oxygen. Panel C), in those with a baseline score of 6 (receiving high-flow oxygen or noninvasive mechanical ventilation.

Panel D), and in those with a baseline score of 7 (receiving mechanical ventilation or ECMO. Panel E). Table 2. Table 2.

Outcomes Overall and According to Score on the Ordinal Scale in the Intention-to-Treat Population. Figure 3. Figure 3. Time to Recovery According to Subgroup.

The widths of the confidence intervals have not been adjusted for multiplicity and therefore cannot be used to infer treatment effects. Race and ethnic group were reported by the patients. Patients in the remdesivir group had a shorter time to recovery than patients in the placebo group (median, 11 days, as compared with 15 days. Rate ratio for recovery, 1.32.

95% confidence interval [CI], 1.12 to 1.55. P<0.001. 1059 patients (Figure 2 and Table 2). Among patients with a baseline ordinal score of 5 (421 patients), the rate ratio for recovery was 1.47 (95% CI, 1.17 to 1.84).

Among patients with a baseline score of 4 (127 patients) and those with a baseline score of 6 (197 patients), the rate ratio estimates for recovery were 1.38 (95% CI, 0.94 to 2.03) and 1.20 (95% CI, 0.79 to 1.81), respectively. For those receiving mechanical ventilation or ECMO at enrollment (baseline ordinal scores of 7. 272 patients), the rate ratio for recovery was 0.95 (95% CI, 0.64 to 1.42). A test of interaction of treatment with baseline score on the ordinal scale was not significant.

An analysis adjusting for baseline ordinal score as a stratification variable was conducted to evaluate the overall effect (of the percentage of patients in each ordinal score category at baseline) on the primary outcome. This adjusted analysis produced a similar treatment-effect estimate (rate ratio for recovery, 1.31. 95% CI, 1.12 to 1.54. 1017 patients).

Table S2 in the Supplementary Appendix shows results according to the baseline severity stratum of mild-to-moderate as compared with severe. Patients who underwent randomization during the first 10 days after the onset of symptoms had a rate ratio for recovery of 1.28 (95% CI, 1.05 to 1.57. 664 patients), whereas patients who underwent randomization more than 10 days after the onset of symptoms had a rate ratio for recovery of 1.38 (95% CI, 1.05 to 1.81. 380 patients) (Figure 3).

Key Secondary Outcome The odds of improvement in the ordinal scale score were higher in the remdesivir group, as determined by a proportional odds model at the day 15 visit, than in the placebo group (odds ratio for improvement, 1.50. 95% CI, 1.18 to 1.91. P=0.001. 844 patients) (Table 2 and Fig.

S5). Mortality was numerically lower in the remdesivir group than in the placebo group, but the difference was not significant (hazard ratio for death, 0.70. 95% CI, 0.47 to 1.04. 1059 patients).

The Kaplan–Meier estimates of mortality by 14 days were 7.1% and 11.9% in the remdesivir and placebo groups, respectively (Table 2). The Kaplan–Meier estimates of mortality by 28 days are not reported in this preliminary analysis, given the large number of patients that had yet to complete day 29 visits. An analysis with adjustment for baseline ordinal score as a stratification variable showed a hazard ratio for death of 0.74 (95% CI, 0.50 to 1.10). Safety Outcomes Serious adverse events occurred in 114 patients (21.1%) in the remdesivir group and 141 patients (27.0%) in the placebo group (Table S3).

4 events (2 in each group) were judged by site investigators to be related to remdesivir or placebo. There were 28 serious respiratory failure adverse events in the remdesivir group (5.2% of patients) and 42 in the placebo group (8.0% of patients). Acute respiratory failure, hypotension, viral pneumonia, and acute kidney injury were slightly more common among patients in the placebo group. No deaths were considered to be related to treatment assignment, as judged by the site investigators.

Grade 3 or 4 adverse events occurred in 156 patients (28.8%) in the remdesivir group and in 172 in the placebo group (33.0%) (Table S4). The most common adverse events in the remdesivir group were anemia or decreased hemoglobin (43 events [7.9%], as compared with 47 [9.0%] in the placebo group). Acute kidney injury, decreased estimated glomerular filtration rate or creatinine clearance, or increased blood creatinine (40 events [7.4%], as compared with 38 [7.3%]). Pyrexia (27 events [5.0%], as compared with 17 [3.3%]).

Hyperglycemia or increased blood glucose level (22 events [4.1%], as compared with 17 [3.3%]). And increased aminotransferase levels including alanine aminotransferase, aspartate aminotransferase, or both (22 events [4.1%], as compared with 31 [5.9%]). Otherwise, the incidence of adverse events was not found to be significantly different between the remdesivir group and the placebo group.Announced on May 15, Operation Warp Speed (OWS) — a partnership of the Department of Health and Human Services (HHS), the Department of Defense (DOD), and the private sector — aims to accelerate control of the Covid-19 pandemic by advancing development, manufacturing, and distribution of vaccines, therapeutics, and diagnostics. OWS is providing support to promising candidates and enabling the expeditious, parallel execution of the necessary steps toward approval or authorization of safe products by the Food and Drug Administration (FDA).The partnership grew out of an acknowledged need to fundamentally restructure the way the U.S.

Government typically supports product development and vaccine distribution. The initiative was premised on setting a “stretch goal” — one that initially seemed impossible but that is becoming increasingly achievable.The concept of an integrated structure for Covid-19 countermeasure research and development across the U.S. Government was based on experience with Zika and the Zika Leadership Group led by the National Institutes of Health (NIH) and the assistant secretary for preparedness and response (ASPR). One of us (M.S.) serves as OWS chief advisor.

We are drawing on expertise from the NIH, ASPR, the Centers for Disease Control and Prevention (CDC), the Biomedical Advanced Research and Development Authority (BARDA), and the DOD, including the Joint Program Executive Office for Chemical, Biological, Radiological and Nuclear Defense and the Defense Advanced Research Projects Agency. OWS has engaged experts in all critical aspects of medical countermeasure research, development, manufacturing, and distribution to work in close coordination.The initiative set ambitious objectives. To deliver tens of millions of doses of a SARS-CoV-2 vaccine — with demonstrated safety and efficacy, and approved or authorized by the FDA for use in the U.S. Population — beginning at the end of 2020 and to have as many as 300 million doses of such vaccines available and deployed by mid-2021.

The pace and scope of such a vaccine effort are unprecedented. The 2014 West African Ebola virus epidemic spurred rapid vaccine development, but though preclinical data existed before the outbreak, a period of 12 months was required to progress from phase 1 first-in-human trials to phase 3 efficacy trials. OWS aims to compress this time frame even further. SARS-CoV-2 vaccine development began in January, phase 1 clinical studies in March, and the first phase 3 trials in July.

Our objectives are based on advances in vaccine platform technology, improved understanding of safe and efficacious vaccine design, and similarities between the SARS-CoV-1 and SARS-CoV-2 disease mechanisms.OWS’s role is to enable, accelerate, harmonize, and advise the companies developing the selected vaccines. The companies will execute the clinical or process development and manufacturing plans, while OWS leverages the full capacity of the U.S. Government to ensure that no technical, logistic, or financial hurdles hinder vaccine development or deployment.OWS selected vaccine candidates on the basis of four criteria. We required candidates to have robust preclinical data or early-stage clinical trial data supporting their potential for clinical safety and efficacy.

Candidates had to have the potential, with our acceleration support, to enter large phase 3 field efficacy trials this summer or fall (July to November 2020) and, assuming continued active transmission of the virus, to deliver efficacy outcomes by the end of 2020 or the first half of 2021. Candidates had to be based on vaccine-platform technologies permitting fast and effective manufacturing, and their developers had to demonstrate the industrial process scalability, yields, and consistency necessary to reliably produce more than 100 million doses by mid-2021. Finally, candidates had to use one of four vaccine-platform technologies that we believe are the most likely to yield a safe and effective vaccine against Covid-19. The mRNA platform, the replication-defective live-vector platform, the recombinant-subunit-adjuvanted protein platform, or the attenuated replicating live-vector platform.OWS’s strategy relies on a few key principles.

First, we sought to build a diverse project portfolio that includes two vaccine candidates based on each of the four platform technologies. Such diversification mitigates the risk of failure due to safety, efficacy, industrial manufacturability, or scheduling factors and may permit selection of the best vaccine platform for each subpopulation at risk for contracting or transmitting Covid-19, including older adults, frontline and essential workers, young adults, and pediatric populations. In addition, advancing eight vaccines in parallel will increase the chances of delivering 300 million doses in the first half of 2021.Second, we must accelerate vaccine program development without compromising safety, efficacy, or product quality. Clinical development, process development, and manufacturing scale-up can be substantially accelerated by running all streams, fully resourced, in parallel.

Doing so requires taking on substantial financial risk, as compared with the conventional sequential development approach. OWS will maximize the size of phase 3 trials (30,000 to 50,000 participants each) and optimize trial-site location by consulting daily epidemiologic and disease-forecasting models to ensure the fastest path to an efficacy readout. Such large trials also increase the safety data set for each candidate vaccine.With heavy up-front investment, companies can conduct clinical operations and site preparation for these phase 3 efficacy trials even as they file their Investigational New Drug application (IND) for their phase 1 studies, thereby ensuring immediate initiation of phase 3 when they get a green light from the FDA. To permit appropriate comparisons among the vaccine candidates and to optimize vaccine utilization after approval by the FDA, the phase 3 trial end points and assay readouts have been harmonized through a collaborative effort involving the National Institute of Allergy and Infectious Diseases (NIAID), the Coronavirus Prevention Network, OWS, and the sponsor companies.Finally, OWS is supporting the companies financially and technically to commence process development and scale up manufacturing while their vaccines are in preclinical or very early clinical stages.

To ensure that industrial processes are set, running, and validated for FDA inspection when phase 3 trials end, OWS is also supporting facility building or refurbishing, equipment fitting, staff hiring and training, raw-material sourcing, technology transfer and validation, bulk product processing into vials, and acquisition of ample vials, syringes, and needles for each vaccine candidate. We aim to have stockpiled, at OWS’s expense, a few tens of millions of vaccine doses that could be swiftly deployed once FDA approval is obtained.This strategy aims to accelerate vaccine development without curtailing the critical steps required by sound science and regulatory standards. The FDA recently reissued guidance and standards that will be used to assess each vaccine for a Biologics License Application (BLA). Alternatively, the agency could decide to issue an Emergency Use Authorization to permit vaccine administration before all BLA procedures are completed.Of the eight vaccines in OWS’s portfolio, six have been announced and partnerships executed with the companies.

Moderna and Pfizer/BioNTech (both mRNA), AstraZeneca and Janssen (both replication-defective live-vector), and Novavax and Sanofi/GSK (both recombinant-subunit-adjuvanted protein). These candidates cover three of the four platform technologies and are currently in clinical trials. The remaining two candidates will enter trials soon.Moderna developed its RNA vaccine in collaboration with the NIAID, began its phase 1 trial in March, recently published encouraging safety and immunogenicity data,1 and entered phase 3 on July 27. Pfizer and BioNTech’s RNA vaccine also produced encouraging phase 1 results2 and started its phase 3 trial on July 27.

The ChAdOx replication-defective live-vector vaccine developed by AstraZeneca and Oxford University is in phase 3 trials in the United Kingdom, Brazil, and South Africa, and it should enter U.S. Phase 3 trials in August.3 The Janssen Ad26 Covid-19 replication-defective live-vector vaccine has demonstrated excellent protection in nonhuman primate models and began its U.S. Phase 1 trial on July 27. It should be in phase 3 trials in mid-September.

Novavax completed a phase 1 trial of its recombinant-subunit-adjuvanted protein vaccine in Australia and should enter phase 3 trials in the United States by the end of September.4 Sanofi/GSK is completing preclinical development steps and plans to commence a phase 1 trial in early September and to be well into phase 3 by year’s end.5On the process-development front, the RNA vaccines are already being manufactured at scale. The other candidates are well advanced in their scale-up development, and manufacturing sites are being refurbished.While development and manufacturing proceed, the HHS–DOD partnership is laying the groundwork for vaccine distribution, subpopulation prioritization, financing, and logistic support. We are working with bioethicists and experts from the NIH, the CDC, BARDA, and the Centers for Medicare and Medicaid Services to address these critical issues. We will receive recommendations from the CDC Advisory Committee on Immunization Practices, and we are working to ensure that the most vulnerable and at-risk persons will receive vaccine doses once they are ready.

Prioritization will also depend on the relative performance of each vaccine and its suitability for particular populations. Because some technologies have limited previous data on safety in humans, the long-term safety of these vaccines will be carefully assessed using pharmacovigilance surveillance strategies.No scientific enterprise could guarantee success by January 2021, but the strategic decisions and choices we’ve made, the support the government has provided, and the accomplishments to date make us optimistic that we will succeed in this unprecedented endeavor.Trial Design and Oversight We conducted a randomized, double-blind, placebo-controlled trial to evaluate postexposure prophylaxis with hydroxychloroquine after exposure to Covid-19.12 We randomly assigned participants in a 1:1 ratio to receive either hydroxychloroquine or placebo. Participants had known exposure (by participant report) to a person with laboratory-confirmed Covid-19, whether as a household contact, a health care worker, or a person with other occupational exposures. Trial enrollment began on March 17, 2020, with an eligibility threshold to enroll within 3 days after exposure.

The objective was to intervene before the median incubation period of 5 to 6 days. Because of limited access to prompt testing, health care workers could initially be enrolled on the basis of presumptive high-risk exposure to patients with pending tests. However, on March 23, eligibility was changed to exposure to a person with a positive polymerase-chain-reaction (PCR) assay for SARS-CoV-2, with the eligibility window extended to within 4 days after exposure. This trial was approved by the institutional review board at the University of Minnesota and conducted under a Food and Drug Administration Investigational New Drug application.

In Canada, the trial was approved by Health Canada. Ethics approvals were obtained from the Research Institute of the McGill University Health Centre, the University of Manitoba, and the University of Alberta. Participants We included participants who had household or occupational exposure to a person with confirmed Covid-19 at a distance of less than 6 ft for more than 10 minutes while wearing neither a face mask nor an eye shield (high-risk exposure) or while wearing a face mask but no eye shield (moderate-risk exposure). Participants were excluded if they were younger than 18 years of age, were hospitalized, or met other exclusion criteria (see the Supplementary Appendix, available with the full text of this article at NEJM.org).

Persons with symptoms of Covid-19 or with PCR-proven SARS-CoV-2 infection were excluded from this prevention trial but were separately enrolled in a companion clinical trial to treat early infection. Setting Recruitment was performed primarily with the use of social media outreach as well as traditional media platforms. Participants were enrolled nationwide in the United States and in the Canadian provinces of Quebec, Manitoba, and Alberta. Participants enrolled themselves through a secure Internet-based survey using the Research Electronic Data Capture (REDCap) system.13 After participants read the consent form, their comprehension of its contents was assessed.

Participants provided a digitally captured signature to indicate informed consent. We sent follow-up e-mail surveys on days 1, 5, 10, and 14. A survey at 4 to 6 weeks asked about any follow-up testing, illness, or hospitalizations. Participants who did not respond to follow-up surveys received text messages, e-mails, telephone calls, or a combination of these to ascertain their outcomes.

When these methods were unsuccessful, the emergency contact provided by the enrollee was contacted to determine the participant’s illness and vital status. When all communication methods were exhausted, Internet searches for obituaries were performed to ascertain vital status. Interventions Randomization occurred at research pharmacies in Minneapolis and Montreal. The trial statisticians generated a permuted-block randomization sequence using variably sized blocks of 2, 4, or 8, with stratification according to country.

A research pharmacist sequentially assigned participants. The assignments were concealed from investigators and participants. Only pharmacies had access to the randomization sequence. Hydroxychloroquine sulfate or placebo was dispensed and shipped overnight to participants by commercial courier.

The dosing regimen for hydroxychloroquine was 800 mg (4 tablets) once, then 600 mg (3 tablets) 6 to 8 hours later, then 600 mg (3 tablets) daily for 4 more days for a total course of 5 days (19 tablets total). If participants had gastrointestinal upset, they were advised to divide the daily dose into two or three doses. We chose this hydroxychloroquine dosing regimen on the basis of pharmacokinetic simulations to achieve plasma concentrations above the SARS-CoV-2 in vitro half maximal effective concentration for 14 days.14 Placebo folate tablets, which were similar in appearance to the hydroxychloroquine tablets, were prescribed as an identical regimen for the control group. Rising Pharmaceuticals provided a donation of hydroxychloroquine, and some hydroxychloroquine was purchased.

Outcomes The primary outcome was prespecified as symptomatic illness confirmed by a positive molecular assay or, if testing was unavailable, Covid-19–related symptoms. We assumed that health care workers would have access to Covid-19 testing if symptomatic. However, access to testing was limited throughout the trial period. Covid-19–related symptoms were based on U.S.

Council for State and Territorial Epidemiologists criteria for confirmed cases (positivity for SARS-Cov-2 on PCR assay), probable cases (the presence of cough, shortness of breath, or difficulty breathing, or the presence of two or more symptoms of fever, chills, rigors, myalgia, headache, sore throat, and new olfactory and taste disorders), and possible cases (the presence of one or more compatible symptoms, which could include diarrhea).15 All the participants had epidemiologic linkage,15 per trial eligibility criteria. Four infectious disease physicians who were unaware of the trial-group assignments reviewed symptomatic participants to generate a consensus with respect to whether their condition met the case definition.15 Secondary outcomes included the incidence of hospitalization for Covid-19 or death, the incidence of PCR-confirmed SARS-CoV-2 infection, the incidence of Covid-19 symptoms, the incidence of discontinuation of the trial intervention owing to any cause, and the severity of symptoms (if any) at days 5 and 14 according to a visual analogue scale (scores ranged from 0 [no symptoms] to 10 [severe symptoms]). Data on adverse events were also collected with directed questioning for common side effects along with open-ended free text. Outcome data were measured within 14 days after trial enrollment.

Outcome data including PCR testing results, possible Covid-19–related symptoms, adherence to the trial intervention, side effects, and hospitalizations were all collected through participant report. Details of trial conduct are provided in the protocol and statistical analysis plan, available at NEJM.org. Sample Size We anticipated that illness compatible with Covid-19 would develop in 10% of close contacts exposed to Covid-19.9 Using Fisher’s exact method with a 50% relative effect size to reduce new symptomatic infections, a two-sided alpha of 0.05, and 90% power, we estimated that 621 persons would need to be enrolled in each group. With a pragmatic, Internet-based, self-referral recruitment strategy, we planned for a 20% incidence of attrition by increasing the sample size to 750 participants per group.

We specified a priori that participants who were already symptomatic on day 1 before receiving hydroxychloroquine or placebo would be excluded from the prophylaxis trial and would instead be separately enrolled in the companion symptomatic treatment trial. Because the estimates for both incident symptomatic Covid-19 after an exposure and loss to follow-up were relatively unknown in early March 2020,9 the protocol prespecified a sample-size reestimation at the second interim analysis. This reestimation, which used the incidence of new infections in the placebo group and the observed percentage of participants lost to follow-up, was aimed at maintaining the ability to detect an effect size of a 50% relative reduction in new symptomatic infections. Interim Analyses An independent data and safety monitoring board externally reviewed the data after 25% and 50% of the participants had completed 14 days of follow-up.

Stopping guidelines were provided to the data and safety monitoring board with the use of a Lan–DeMets spending function analogue of the O’Brien–Fleming boundaries for the primary outcome. A conditional power analysis was performed at the second and third interim analysis with the option of early stopping for futility. At the second interim analysis on April 22, 2020, the sample size was reduced to 956 participants who could be evaluated with 90% power on the basis of the higher-than-expected event rate of infections in the control group. At the third interim analysis on May 6, the trial was halted on the basis of a conditional power of less than 1%, since it was deemed futile to continue.

Statistical Analysis We assessed the incidence of Covid-19 disease by day 14 with Fisher’s exact test. Secondary outcomes with respect to percentage of patients were also compared with Fisher’s exact test. Among participants in whom incident illness compatible with Covid-19 developed, we summarized the symptom severity score at day 14 with the median and interquartile range and assessed the distributions with a Kruskal–Wallis test. We conducted all analyses with SAS software, version 9.4 (SAS Institute), according to the intention-to-treat principle, with two-sided type I error with an alpha of 0.05.

For participants with missing outcome data, we conducted a sensitivity analysis with their outcomes excluded or included as an event. Subgroups that were specified a priori included type of contact (household vs. Health care), days from exposure to enrollment, age, and sex.Trial Design and Oversight The RECOVERY trial was designed to evaluate the effects of potential treatments in patients hospitalized with Covid-19 at 176 National Health Service organizations in the United Kingdom and was supported by the National Institute for Health Research Clinical Research Network. (Details regarding this trial are provided in the Supplementary Appendix, available with the full text of this article at NEJM.org.) The trial is being coordinated by the Nuffield Department of Population Health at the University of Oxford, the trial sponsor.

Although the randomization of patients to receive dexamethasone, hydroxychloroquine, or lopinavir–ritonavir has now been stopped, the trial continues randomization to groups receiving azithromycin, tocilizumab, or convalescent plasma. Hospitalized patients were eligible for the trial if they had clinically suspected or laboratory-confirmed SARS-CoV-2 infection and no medical history that might, in the opinion of the attending clinician, put patients at substantial risk if they were to participate in the trial. Initially, recruitment was limited to patients who were at least 18 years of age, but the age limit was removed starting on May 9, 2020. Pregnant or breast-feeding women were eligible.

Written informed consent was obtained from all the patients or from a legal representative if they were unable to provide consent. The trial was conducted in accordance with the principles of the Good Clinical Practice guidelines of the International Conference on Harmonisation and was approved by the U.K. Medicines and Healthcare Products Regulatory Agency and the Cambridge East Research Ethics Committee. The protocol with its statistical analysis plan is available at NEJM.org and on the trial website at www.recoverytrial.net.

The initial version of the manuscript was drafted by the first and last authors, developed by the writing committee, and approved by all members of the trial steering committee. The funders had no role in the analysis of the data, in the preparation or approval of the manuscript, or in the decision to submit the manuscript for publication. The first and last members of the writing committee vouch for the completeness and accuracy of the data and for the fidelity of the trial to the protocol and statistical analysis plan. Randomization We collected baseline data using a Web-based case-report form that included demographic data, the level of respiratory support, major coexisting illnesses, suitability of the trial treatment for a particular patient, and treatment availability at the trial site.

Randomization was performed with the use of a Web-based system with concealment of the trial-group assignment. Eligible and consenting patients were assigned in a 2:1 ratio to receive either the usual standard of care alone or the usual standard of care plus oral or intravenous dexamethasone (at a dose of 6 mg once daily) for up to 10 days (or until hospital discharge if sooner) or to receive one of the other suitable and available treatments that were being evaluated in the trial. For some patients, dexamethasone was unavailable at the hospital at the time of enrollment or was considered by the managing physician to be either definitely indicated or definitely contraindicated. These patients were excluded from entry in the randomized comparison between dexamethasone and usual care and hence were not included in this report.

The randomly assigned treatment was prescribed by the treating clinician. Patients and local members of the trial staff were aware of the assigned treatments. Procedures A single online follow-up form was to be completed when the patients were discharged or had died or at 28 days after randomization, whichever occurred first. Information was recorded regarding the patients’ adherence to the assigned treatment, receipt of other trial treatments, duration of admission, receipt of respiratory support (with duration and type), receipt of renal support, and vital status (including the cause of death).

In addition, we obtained routine health care and registry data, including information on vital status (with date and cause of death), discharge from the hospital, and respiratory and renal support therapy. Outcome Measures The primary outcome was all-cause mortality within 28 days after randomization. Further analyses were specified at 6 months. Secondary outcomes were the time until discharge from the hospital and, among patients not receiving invasive mechanical ventilation at the time of randomization, subsequent receipt of invasive mechanical ventilation (including extracorporeal membrane oxygenation) or death.

Other prespecified clinical outcomes included cause-specific mortality, receipt of renal hemodialysis or hemofiltration, major cardiac arrhythmia (recorded in a subgroup), and receipt and duration of ventilation. Statistical Analysis As stated in the protocol, appropriate sample sizes could not be estimated when the trial was being planned at the start of the Covid-19 pandemic. As the trial progressed, the trial steering committee, whose members were unaware of the results of the trial comparisons, determined that if 28-day mortality was 20%, then the enrollment of at least 2000 patients in the dexamethasone group and 4000 in the usual care group would provide a power of at least 90% at a two-sided P value of 0.01 to detect a clinically relevant proportional reduction of 20% (an absolute difference of 4 percentage points) between the two groups. Consequently, on June 8, 2020, the steering committee closed recruitment to the dexamethasone group, since enrollment had exceeded 2000 patients.

For the primary outcome of 28-day mortality, the hazard ratio from Cox regression was used to estimate the mortality rate ratio. Among the few patients (0.1%) who had not been followed for 28 days by the time of the data cutoff on July 6, 2020, data were censored either on that date or on day 29 if the patient had already been discharged. That is, in the absence of any information to the contrary, these patients were assumed to have survived for 28 days. Kaplan–Meier survival curves were constructed to show cumulative mortality over the 28-day period.

Cox regression was used to analyze the secondary outcome of hospital discharge within 28 days, with censoring of data on day 29 for patients who had died during hospitalization. For the prespecified composite secondary outcome of invasive mechanical ventilation or death within 28 days (among patients who were not receiving invasive mechanical ventilation at randomization), the precise date of invasive mechanical ventilation was not available, so a log-binomial regression model was used to estimate the risk ratio. Table 1. Table 1.

Characteristics of the Patients at Baseline, According to Treatment Assignment and Level of Respiratory Support. Through the play of chance in the unstratified randomization, the mean age was 1.1 years older among patients in the dexamethasone group than among those in the usual care group (Table 1). To account for this imbalance in an important prognostic factor, estimates of rate ratios were adjusted for the baseline age in three categories (<70 years, 70 to 79 years, and ≥80 years). This adjustment was not specified in the first version of the statistical analysis plan but was added once the imbalance in age became apparent.

Results without age adjustment (corresponding to the first version of the analysis plan) are provided in the Supplementary Appendix. Prespecified analyses of the primary outcome were performed in five subgroups, as defined by characteristics at randomization. Age, sex, level of respiratory support, days since symptom onset, and predicted 28-day mortality risk. (One further prespecified subgroup analysis regarding race will be conducted once the data collection has been completed.) In prespecified subgroups, we estimated rate ratios (or risk ratios in some analyses) and their confidence intervals using regression models that included an interaction term between the treatment assignment and the subgroup of interest.

Chi-square tests for linear trend across the subgroup-specific log estimates were then performed in accordance with the prespecified plan. All P values are two-sided and are shown without adjustment for multiple testing. All analyses were performed according to the intention-to-treat principle. The full database is held by the trial team, which collected the data from trial sites and performed the analyses at the Nuffield Department of Population Health, University of Oxford..

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Secondary prevention (prompt treatment) is largely dependent on diagnosis which depends on a positive who can buy amoxil throat swab or serological evidence in the form of the ASOT and ADB titres and this is where the complexities begin. Tertiary prevention, early diagnosis of heart disease by echo screening and prophylaxis has promise but is gestational. The range of population norms depends on exposure and who can buy amoxil threshold levels in one country might not be applicable elsewhere inevitably resulting in false positive and false negative results. Okello et al establishes a range of ASOT levels in urban Uganda and shows much higher mean titres than other comparable populations. Joshua Osowicki and Andrew Steer discuss the implications of these findings in the context of a multipronged approach to rheumatic fever during the wait for the long yearned-for group A streptococcal vaccine.

See pages 825 who can buy amoxil and 813Febrile neutropaeniaOncological treatment is prolonged and draining for both a child and their family. A major contributor to the fatigue is the need for recurrent admissions for chemotherapy induced febrile neutropenia (FN). Though evidence of benefit is scanty to non-existent, it is traditional to keep children in hospital on IV antibiotic who can buy amoxil treatment for several days irrespective of culture results and clinical appearance. Sereveratne and colleagues assess the safety of a more flexible approach in a tertiary oncology centre, allowing discharge at 48 hours, even if culture positive as long as ‘wellness’ and social criteria were metIn total, 179 episodes of FN were reviewed from 47 patients. In 70% (125/179) of episodes, patients were discharged safely once 48 hours microbiology results were available, with only 5.6% (7/125) resulting in readmission in the 48 hours following discharge.

There were no deaths from who can buy amoxil sepsis. This approach won’t work for all episodes of febrile neutropenia, but, probably applies to the majority and the differences to quality of life if adopted widely are hard to overstate. See page 881Infectious disease mortalityTrends in infectious disease mirror changes in vaccination programmes, who can buy amoxil society and the environment, diagnostics and microbiological epidemiology. Ferreras-Antolin examines Public Health England data over two eras, 2003 to 2005 and 2013 to 2015. In the latter period, there were 5088 death registrations recorded in children aged 28 days to <15 years in England and Wales (17.6 deaths/100 000 children annually) and, in the first 6897 (23.9/100 000).

The incidence rate ratio (IRR) of 0.74 (95% CI 0.71 to 0.77) fell significantly and the stories behind who can buy amoxil these i was reading this data are revealing. There is little doubt that PCV vaccination has played a role though, in this series, it is too early to assess the contribution of the (2015 launched) meningococcal B programme. The raw data also mask the rise of (the still non-vaccine preventable) invasive group A streptococcal disease (one of the arguments for varicella vaccination) and the future role for Group B streptococcal immunisation. Influenza deaths were rare and, despite a reduction who can buy amoxil between the eras was not a major explanator. See page 857Fibre and constipationOne of the more entrenched tenets of child nutrition folklore is that of the association between fibre and constipation.

In a re-analysis of data from the latest NICE review, information from the ALSPAC cohort (in which stool consistency pre-weaning was established) and monozygotic twin studies, Tappin persuasively argues (through triangulation analysis) that fibre is the result of and confounded by parental response to hard stool and is who can buy amoxil neither a cause of constipation or a treatment. Laxation (as advocated) should be the first line and used early to prevent the all too familiar chronic issues with undertreatment. Soiling. Loss of self who can buy amoxil esteem. Poor mood and loss of appetite.

See page 864Drowning and autismDrowning is a who can buy amoxil major cause of global child mortality, particularly in low and middle income country settings. Interventions such as fencing off access and swimming lessons have partially ameliorated the risk, but progress has been slow and awareness probably still the single best form of prophylaxis. Autistic children represent a high risk group due to their inherent communication and behavioural issues. Peden assesses the association between autism and drowning in who can buy amoxil Australia from coronial certificates between 2002 and 2018. Of the 667 cases of drowning among 0–19 year olds (with known history), 27 (4%) had an ASD diagnosis, relative risk 2.85 (95% CI 0.61 to 13.24).

Children and adolescents who can buy amoxil with ASD were significantly more likely to drown when compared with those without ASD. If aged 5–9 years (44.4% of ASD cases. 13.3% of non ASD cases). In a lake or dam (25.9% vs 10.0%) and during winter who can buy amoxil (37.0% vs 13.1%). These sobering figures are likely to be an underestimate as the diagnosis of ASD is often not made until the age of 5 years, past the highest drowning risk preschool group.

Rheumatic feverIs there any disease group more ’deserving’ of a place at the neglected tropical disease table than the post streptococcal illnesses, glomerulonephritis and rheumatic low cost amoxil fever?. These dropped off the radar of most high income countries in the second half of the 20th century but have continued to smoulder, largely unchecked, in low and middle income countries (LMICs). The burden is low cost amoxil frightening. 300 000 incident cases per year and 30 million prevalent cases, the damage from chronic carditis resulting, in so many, in heart failure and stroke.There are a number of approaches.

Primary prevention (vaccination) remains a work in progress. Secondary prevention (prompt treatment) is largely dependent on diagnosis which depends on a positive throat swab or serological evidence in low cost amoxil the form of the ASOT and ADB titres and this is where the complexities begin. Tertiary prevention, early diagnosis of heart disease by echo screening and prophylaxis has promise but is gestational. The range of population norms depends on exposure and threshold levels in one country might not be applicable elsewhere inevitably resulting in false positive and false negative low cost amoxil results.

Okello et al establishes a range of ASOT levels in urban Uganda and shows much higher mean titres than other comparable populations. Joshua Osowicki and Andrew Steer discuss the implications of these findings in the context of a multipronged approach to rheumatic fever during the wait for the long yearned-for group A streptococcal vaccine. See pages 825 and 813Febrile neutropaeniaOncological treatment is prolonged and draining for both a child and their low cost amoxil family. A major contributor to the fatigue is the need for recurrent admissions for chemotherapy induced febrile neutropenia (FN).

Though evidence of benefit is scanty to low cost amoxil non-existent, it is traditional to keep children in hospital on IV antibiotic treatment for several days irrespective of culture results and clinical appearance. Sereveratne and colleagues assess the safety of a more flexible approach in a tertiary oncology centre, allowing discharge at 48 hours, even if culture positive as long as ‘wellness’ and social criteria were metIn total, 179 episodes of FN were reviewed from 47 patients. In 70% (125/179) of episodes, patients were discharged safely once 48 hours microbiology results were available, with only 5.6% (7/125) resulting in readmission in the 48 hours following discharge. There were no deaths from low cost amoxil sepsis.

This approach won’t work for all episodes of febrile neutropenia, but, probably applies to the majority and the differences to quality of life if adopted widely are hard to overstate. See page 881Infectious disease mortalityTrends in infectious low cost amoxil disease mirror changes in vaccination programmes, society and the environment, diagnostics and microbiological epidemiology. Ferreras-Antolin examines Public Health England data over two eras, 2003 to 2005 and 2013 to 2015. In the latter period, there were 5088 death registrations recorded in children aged 28 days to <15 years in England and Wales (17.6 deaths/100 000 children annually) and, in the first 6897 (23.9/100 000).

The incidence rate ratio (IRR) of 0.74 (95% CI low cost amoxil 0.71 to 0.77) fell significantly and the stories behind these data are revealing. There is little doubt that PCV vaccination has played a role though, in this series, it is too early to assess the contribution of the (2015 launched) meningococcal B programme. The raw data also mask the rise of (the still non-vaccine preventable) invasive group A streptococcal disease (one of the arguments for varicella vaccination) and the future role for Group B streptococcal immunisation. Influenza deaths were rare and, despite a reduction between the eras was not low cost amoxil a major explanator.

See page 857Fibre and constipationOne of the more entrenched tenets of child nutrition folklore is that of the association between fibre and constipation. In a re-analysis of data from the latest NICE review, information from the ALSPAC cohort (in which stool consistency pre-weaning was established) and monozygotic twin studies, Tappin persuasively argues (through triangulation analysis) that fibre is the result of and confounded by parental response to hard stool and is low cost amoxil neither a cause of constipation or a treatment. Laxation (as advocated) should be the first line and used early to prevent the all too familiar chronic issues with undertreatment. Soiling.

Loss of low cost amoxil self esteem. Poor mood and loss of appetite. See page 864Drowning and autismDrowning is a major cause of global child mortality, low cost amoxil particularly in low and middle income country settings. Interventions such as fencing off access and swimming lessons have partially ameliorated the risk, but progress has been slow and awareness probably still the single best form of prophylaxis.

Autistic children represent a high risk group due to their inherent communication and behavioural issues. Peden assesses low cost amoxil the association between autism and drowning in Australia from coronial certificates between 2002 and 2018. Of the 667 cases of drowning among 0–19 year olds (with known history), 27 (4%) had an ASD diagnosis, relative risk 2.85 (95% CI 0.61 to 13.24). Children and adolescents with ASD were significantly more likely to drown when low cost amoxil compared with those without ASD.

If aged 5–9 years (44.4% of ASD cases. 13.3% of non ASD cases). In a lake or dam (25.9% vs 10.0%) and during winter (37.0% vs low cost amoxil 13.1%). These sobering figures are likely to be an underestimate as the diagnosis of ASD is often not made until the age of 5 years, past the highest drowning risk preschool group.

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The General Medical Council’s (GMC) motto of ‘Working with doctors, working for patients’ is at the heart of the work we carry out to what is amoxil 500mg used for ensure medical schools and postgraduate medical training is of the high standard that patients demand, and rightly deserve. However, we know delivering world-class healthcare is taking its toll on doctors and carrying out research into how we can ease the burden and find how burnout can be prevented is becoming a key focus of our work.While still delivering our important statutory functions of controlling access to the register and investigating when things go wrong, we are actively supporting professionals to maintain and improve standards of good medical practice. Additionally, there what is amoxil 500mg used for is a vast amount of work taking place behind the scenes at the GMC to adapt to the ever-evolving environment we are training doctors to work in.SHAPING TRAINING TO MEET THE NEEDS OF WORKFORCE AND PATIENTSThe UK population is continuously changing. We have an ageing and consequently increasingly frail population with more people with complex and comorbid diseases.

We have more patients with disabilities related to mental and physical health problems—which we expect will continue to rise due to the COVID-19 what is amoxil 500mg used for pandemic. In addition, more young people tend to live in urban areas, whereas there are more older people generally residing in more rural areas.This in turn places a demand on services meaning we need to train more doctors with more generalist, flexible skills and have doctors located in the right geographical areas to treat patients. The ongoing what is amoxil 500mg used for COVID-19 pandemic has highlighted the importance of doctors working flexibly.The medical workforce is also ever-varying. Our most recent ‘The state of medical education and practice in the UK’1 report showed we are seeing more female doctors on the register.

Increasingly, female doctors make up a higher proportion of the workforce as male ….

The General Medical Council’s (GMC) motto of ‘Working with doctors, working for patients’ is at low cost amoxil the heart of the work we carry out to ensure medical schools and postgraduate medical training is of the high standard that patients demand, and rightly deserve. However, we know delivering world-class healthcare is taking its toll on doctors and carrying out research into how we can ease the burden and find how burnout can be prevented is becoming a key focus of our work.While still delivering our important statutory functions of controlling access to the register and investigating when things go wrong, we are actively supporting professionals to maintain and improve standards of good medical practice. Additionally, there is a vast amount of work taking place behind the scenes at the GMC to adapt to the ever-evolving environment we low cost amoxil are training doctors to work in.SHAPING TRAINING TO MEET THE NEEDS OF WORKFORCE AND PATIENTSThe UK population is continuously changing.

We have an ageing and consequently increasingly frail population with more people with complex and comorbid diseases. We have more low cost amoxil patients with disabilities related to mental and physical health problems—which we expect will continue to rise due to the COVID-19 pandemic. In addition, more young people tend to live in urban areas, whereas there are more older people generally residing in more rural areas.This in turn places a demand on services meaning we need to train more doctors with more generalist, flexible skills and have doctors located in the right geographical areas to treat patients.

The ongoing low cost amoxil COVID-19 pandemic has highlighted the importance of doctors working flexibly.The medical workforce is also ever-varying. Our most recent ‘The state of medical education and practice in the UK’1 report showed we are seeing more female doctors on the register. Increasingly, female doctors make up a higher proportion of the workforce as male ….