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Launching a comparative effectiveness adaptive platform trial of monoclonal antibodies for COVID-19 in 21 days.
McCreary, Erin K; Bariola, J Ryan; Minnier, Tami; Wadas, Richard J; Shovel, Judith A; Albin, Debbie; Marroquin, Oscar C; Schmidhofer, Mark; Wisniewski, Mary Kay; Nace, David A; Sullivan, Colleen; Axe, Meredith; Meyers, Russell; Khadem, Tina; Garrard, William; Collins, Kevin; Wells, Alan; Bart, Robert D; Linstrum, Kelsey; Montgomery, Stephanie K; Haidar, Ghady; Snyder, Graham M; McVerry, Bryan J; Seymour, Christopher W; Yealy, Donald M; Huang, David T; Angus, Derek C.
  • McCreary EK; Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA. Electronic address: mccrearye3@upmc.edu.
  • Bariola JR; Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Minnier T; Wolff Center, UPMC, Pittsburgh, PA, USA.
  • Wadas RJ; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Shovel JA; Wolff Center, UPMC, Pittsburgh, PA, USA.
  • Albin D; UPMC Supply Chain Management/HC Pharmacy, UPMC, Pittsburgh, PA, USA.
  • Marroquin OC; Clinical Analytics, UPMC, Pittsburgh, PA, USA.
  • Schmidhofer M; Division of Cardiology, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Wisniewski MK; Wolff Center, UPMC, Pittsburgh, PA, USA.
  • Nace DA; Division of Geriatric Medicine, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Sullivan C; Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Axe M; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Meyers R; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Khadem T; Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Garrard W; Clinical Analytics, UPMC, Pittsburgh, PA, USA.
  • Collins K; Clinical Analytics, UPMC, Pittsburgh, PA, USA.
  • Wells A; Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Bart RD; UPMC Health Services Division, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Linstrum K; Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA.
  • Montgomery SK; Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA.
  • Haidar G; Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Snyder GM; Division of Infectious Diseases, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • McVerry BJ; Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, UPMC, Pittsburgh, PA, USA.
  • Seymour CW; Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA; Department of Critical Care Medicine
  • Yealy DM; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
  • Huang DT; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Departmen
  • Angus DC; Clinical Research Investigation and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; UPMC Health System Office of Healthcare Innovation, Pittsburgh, PA, USA; Department of Critical Care Medicine
Contemp Clin Trials ; 113: 106652, 2022 02.
Artículo en Inglés | MEDLINE | ID: covidwho-1560571
ABSTRACT
Outpatient treatments that limit progression to severe coronavirus disease 2019 (COVID-19) are of vital importance to optimise patient outcomes and public health. Monoclonal antibodies (mAb) demonstrated ability to decrease hospitalizations in randomized, clinical trials. However, there are many barriers to mAb treatment such as patient access and clinician education. There are no data comparing efficacy or safety of available mAbs. We sought to rapidly launch an adaptive platform trial with the goals of enhancing access to treatment, regardless of geography and socioeconomic status, and evaluating comparative efficacy and safety of available mAbs. Within 21 days from idea genesis, we allocated mAb treatment to all patients within the context of this clinical trial. Within 2 months, we closed the gap of the likelihood of receiving mAb, conditional on background positivity rate, between Black and White patients (Black patients 0.238; White patients 0.241). We describe trial infrastructure, lessons learned, and future directions for a culture of learning while doing.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Antineoplásicos Inmunológicos / COVID-19 Tipo de estudio: Estudio experimental / Estudio pronóstico / Ensayo controlado aleatorizado Límite: Humanos Idioma: Inglés Revista: Contemp Clin Trials Asunto de la revista: Medicina / Terapeutica Año: 2022 Tipo del documento: Artículo

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Antineoplásicos Inmunológicos / COVID-19 Tipo de estudio: Estudio experimental / Estudio pronóstico / Ensayo controlado aleatorizado Límite: Humanos Idioma: Inglés Revista: Contemp Clin Trials Asunto de la revista: Medicina / Terapeutica Año: 2022 Tipo del documento: Artículo