Evaluating primary endpoints for COVID-19 therapeutic trials to assess recovery

• Main Authors: 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 Edward, 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.
• 其他作者: Lee Kong Chian School of Medicine (LKCMedicine)
• 格式: Article
• 語言: English
• 出版: 2023
• 主題: Science::Medicine; COVID-19; Outcomes Assessment
• 在線閱讀: https://hdl.handle.net/10356/164556

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...