BACKGROUND Convalescent plasma is the only antibody-based therapy currently available for patients with coronavirus disease 2019 (COVID-19). It has robust historical precedence and sound biological plausibility. Although promising, convalescent plasma has not yet been shown to be safe as a treatment for COVID-19.METHODS Thus, we analyzed key safety metrics after transfusion of ABO-compatible human COVID-19 convalescent plasma in 5000 hospitalized adults with severe or life-threatening COVID-19, with 66% in the intensive care unit, as part of the US FDA expanded access program for COVID-19 convalescent plasma.RESULTS The incidence of all serious adverse events (SAEs), including mortality rate (0.3%), in the first 4 hours after transfusion was <1%. Of the 36 reported SAEs, there were 25 reported incidences of related SAEs, including mortality (n = 4), transfusion-associated circulatory overload (n = 7), transfusion-related acute lung injury (n = 11), and severe allergic transfusion reactions (n = 3). However, only 2 of 36 SAEs were judged as definitely related to the convalescent plasma transfusion by the treating physician. The 7-day mortality rate was 14.9%.CONCLUSION Given the deadly nature of COVID-19 and the large population of critically ill patients included in these analyses, the mortality rate does not appear excessive. These early indicators suggest that transfusion of convalescent plasma is safe in hospitalized patients with COVID-19.TRIAL REGISTRATION ClinicalTrials.gov NCT04338360.FUNDING Mayo Clinic, Biomedical Advanced Research and Development Authority (75A50120C00096), National Center for Advancing Translational Sciences (UL1TR002377), National Heart, Lung, and Blood Institute (5R35HL139854 and R01 HL059842), National Institute of Diabetes and Digestive and Kidney Diseases (5T32DK07352), Natural Sciences and Engineering Research Council of Canada (PDF-532926-2019), National Institute of Allergy and Infectious Disease (R21 AI145356, R21 AI152318, and AI152078), Schwab Charitable Fund, United Health Group, National Basketball Association, Millennium Pharmaceuticals, and Octapharma USA Inc.
Michael J. Joyner, R. Scott Wright, DeLisa Fairweather, Jonathon W. Senefeld, Katelyn A. Bruno, Stephen A. Klassen, Rickey E. Carter, Allan M. Klompas, Chad C. Wiggins, John R.A. Shepherd, Robert F. Rea, Emily R. Whelan, Andrew J. Clayburn, Matthew R. Spiegel, Patrick W. Johnson, Elizabeth R. Lesser, Sarah E. Baker, Kathryn F. Larson, Juan G. Ripoll, Kylie J. Andersen, David O. Hodge, Katie L. Kunze, Matthew R. Buras, Matthew N.P. Vogt, Vitaly Herasevich, Joshua J. Dennis, Riley J. Regimbal, Philippe R. Bauer, Janis E. Blair, Camille M. Van Buskirk, Jeffrey L. Winters, James R. Stubbs, Nigel S. Paneth, Nicole C. Verdun, Peter Marks, Arturo Casadevall
Usage data is cumulative from December 2023 through December 2024.
Usage | JCI | PMC |
---|---|---|
Text version | 1,910 | 86 |
250 | 55 | |
Figure | 59 | 1 |
Table | 85 | 0 |
Supplemental data | 43 | 0 |
Citation downloads | 66 | 0 |
Totals | 2,413 | 142 |
Total Views | 2,555 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.