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Evaluating Primary Endpoints for COVID-19 Therapeutic Trials to Assess Recovery
RATIONALE: Uncertainty regarding the natural history of coronavirus disease (COVID-19) led to difficulty in efficacy endpoint selection for therapeutic trials. Capturing outcomes that occur after hospital discharge may improve assessment of clinical recovery among hospitalized patients with COVID-19...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Thoracic Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799123/ https://www.ncbi.nlm.nih.gov/pubmed/35580040 http://dx.doi.org/10.1164/rccm.202112-2836OC |
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author | Douin, David J. Siegel, Lianne Grandits, Greg Phillips, Andrew Aggarwal, Neil R. Baker, Jason Brown, Samuel M. Chang, Christina C. Goodman, Anna L. Grund, Birgit Higgs, Elizabeth S. Hough, Catherine L. Murray, Daniel D. Paredes, Roger Parmar, Mahesh Pett, Sarah Polizzotto, Mark N. Sandkovsky, Uriel Self, Wesley H. Young, Barnaby E. Babiker, Abdel G. Davey, Victoria J. Kan, Virginia Gelijns, Annetine C. Matthews, Gail Thompson, B. Taylor Lane, H. Clifford Neaton, James D. Lundgren, Jens D. Ginde, Adit A. |
author_facet | Douin, David J. Siegel, Lianne Grandits, Greg Phillips, Andrew Aggarwal, Neil R. Baker, Jason Brown, Samuel M. Chang, Christina C. Goodman, Anna L. Grund, Birgit Higgs, Elizabeth S. Hough, Catherine L. Murray, Daniel D. Paredes, Roger Parmar, Mahesh Pett, Sarah Polizzotto, Mark N. Sandkovsky, Uriel Self, Wesley H. Young, Barnaby E. Babiker, Abdel G. Davey, Victoria J. Kan, Virginia Gelijns, Annetine C. Matthews, Gail Thompson, B. Taylor Lane, H. Clifford Neaton, James D. Lundgren, Jens D. Ginde, Adit A. |
author_sort | Douin, David J. |
collection | PubMed |
description | RATIONALE: Uncertainty regarding the natural history of coronavirus disease (COVID-19) led to difficulty in efficacy endpoint selection for therapeutic trials. Capturing outcomes that occur after hospital discharge may improve assessment of clinical recovery among hospitalized patients with COVID-19. OBJECTIVES: Evaluate 90-day clinical course of patients hospitalized with COVID-19, comparing three distinct definitions of recovery. METHODS: We used pooled data from three clinical trials of neutralizing monoclonal antibodies to compare: 1) the hospital discharge approach; 2) the TICO (Therapeutics for Inpatients with COVID-19) trials sustained recovery approach; and 3) a comprehensive approach. At the time of enrollment, all patients were hospitalized in a non-ICU setting without organ failure or major extrapulmonary manifestations of COVID-19. We defined discordance as a difference between time to recovery. MEASUREMENTS AND MAIN RESULTS: Discordance between the hospital discharge and comprehensive approaches occurred in 170 (20%) of 850 enrolled participants, including 126 hospital readmissions and 24 deaths after initial hospital discharge. Discordant participants were older (median age, 68 vs. 59 years; P < 0.001) and more had a comorbidity (84% vs. 70%; P < 0.001). Of 170 discordant participants, 106 (62%) had postdischarge events captured by the TICO approach. CONCLUSIONS: Among patients hospitalized with COVID-19, 20% had clinically significant postdischarge events within 90 days after randomization in patients who would be considered “recovered” using the hospital discharge approach. Using the TICO approach balances length of follow-up with practical limitations. However, clinical trials of COVID-19 therapeutics should use follow-up times up to 90 days to assess clinical recovery more accurately. |
format | Online Article Text |
id | pubmed-9799123 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Thoracic Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97991232022-12-30 Evaluating Primary Endpoints for COVID-19 Therapeutic Trials to Assess Recovery Douin, David J. Siegel, Lianne Grandits, Greg Phillips, Andrew Aggarwal, Neil R. Baker, Jason Brown, Samuel M. Chang, Christina C. Goodman, Anna L. Grund, Birgit Higgs, Elizabeth S. Hough, Catherine L. Murray, Daniel D. Paredes, Roger Parmar, Mahesh Pett, Sarah Polizzotto, Mark N. Sandkovsky, Uriel Self, Wesley H. Young, Barnaby E. Babiker, Abdel G. Davey, Victoria J. Kan, Virginia Gelijns, Annetine C. Matthews, Gail Thompson, B. Taylor Lane, H. Clifford Neaton, James D. Lundgren, Jens D. Ginde, Adit A. Am J Respir Crit Care Med Original Articles RATIONALE: Uncertainty regarding the natural history of coronavirus disease (COVID-19) led to difficulty in efficacy endpoint selection for therapeutic trials. Capturing outcomes that occur after hospital discharge may improve assessment of clinical recovery among hospitalized patients with COVID-19. OBJECTIVES: Evaluate 90-day clinical course of patients hospitalized with COVID-19, comparing three distinct definitions of recovery. METHODS: We used pooled data from three clinical trials of neutralizing monoclonal antibodies to compare: 1) the hospital discharge approach; 2) the TICO (Therapeutics for Inpatients with COVID-19) trials sustained recovery approach; and 3) a comprehensive approach. At the time of enrollment, all patients were hospitalized in a non-ICU setting without organ failure or major extrapulmonary manifestations of COVID-19. We defined discordance as a difference between time to recovery. MEASUREMENTS AND MAIN RESULTS: Discordance between the hospital discharge and comprehensive approaches occurred in 170 (20%) of 850 enrolled participants, including 126 hospital readmissions and 24 deaths after initial hospital discharge. Discordant participants were older (median age, 68 vs. 59 years; P < 0.001) and more had a comorbidity (84% vs. 70%; P < 0.001). Of 170 discordant participants, 106 (62%) had postdischarge events captured by the TICO approach. CONCLUSIONS: Among patients hospitalized with COVID-19, 20% had clinically significant postdischarge events within 90 days after randomization in patients who would be considered “recovered” using the hospital discharge approach. Using the TICO approach balances length of follow-up with practical limitations. However, clinical trials of COVID-19 therapeutics should use follow-up times up to 90 days to assess clinical recovery more accurately. American Thoracic Society 2022-05-17 /pmc/articles/PMC9799123/ /pubmed/35580040 http://dx.doi.org/10.1164/rccm.202112-2836OC Text en Copyright © 2022 by the American Thoracic Society https://creativecommons.org/licenses/by-nc-nd/4.0/This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . For commercial usage and reprints, please e-mail Diane Gern (dgern@thoracic.org). |
spellingShingle | Original Articles Douin, David J. Siegel, Lianne Grandits, Greg Phillips, Andrew Aggarwal, Neil R. Baker, Jason Brown, Samuel M. Chang, Christina C. Goodman, Anna L. Grund, Birgit Higgs, Elizabeth S. Hough, Catherine L. Murray, Daniel D. Paredes, Roger Parmar, Mahesh Pett, Sarah Polizzotto, Mark N. Sandkovsky, Uriel Self, Wesley H. Young, Barnaby E. Babiker, Abdel G. Davey, Victoria J. Kan, Virginia Gelijns, Annetine C. Matthews, Gail Thompson, B. Taylor Lane, H. Clifford Neaton, James D. Lundgren, Jens D. Ginde, Adit A. Evaluating Primary Endpoints for COVID-19 Therapeutic Trials to Assess Recovery |
title | Evaluating Primary Endpoints for COVID-19 Therapeutic Trials to Assess Recovery |
title_full | Evaluating Primary Endpoints for COVID-19 Therapeutic Trials to Assess Recovery |
title_fullStr | Evaluating Primary Endpoints for COVID-19 Therapeutic Trials to Assess Recovery |
title_full_unstemmed | Evaluating Primary Endpoints for COVID-19 Therapeutic Trials to Assess Recovery |
title_short | Evaluating Primary Endpoints for COVID-19 Therapeutic Trials to Assess Recovery |
title_sort | evaluating primary endpoints for covid-19 therapeutic trials to assess recovery |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9799123/ https://www.ncbi.nlm.nih.gov/pubmed/35580040 http://dx.doi.org/10.1164/rccm.202112-2836OC |
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