A minimal common outcome measure set for COVID-19 clinical research

John C. Marshall, Srinivas Murthy, Janet Diaz, Neil Adhikari, Derek C. Angus, Yaseen M. Arabi, Kenneth Baillie, Michael Bauer, Scott Berry, Bronagh Blackwood, Marc Bonten, Fernando Bozza, Frank Brunkhorst, Allen Cheng, Mike Clarke, Vu Quoc Dat, Menno de Jong, Justin Denholm, Lennie Derde, Jake DunningXiaobin Feng, Tom Fletcher, Nadine Foster, Rob Fowler, Nina Gobat, Charles Gomersall, Anthony Gordon, Thomas Glueck, Michael Harhay, Carol Hodgson, Peter Horby, YaeJean Kim, Richard Kojan, Bharath Kumar, John Laffey, Denis Malvey, Ignacio Martin-Loeches, Colin McArthur, Danny McAuley, Stephen McBride, Shay McGuinness, Laura Merson, Susan Morpeth, Dale Needham, Mihai Netea, Myoung-Don Oh, Sabai Phyu, Simone Piva, Ruijin Qiu, Halima Salisu-Kabara, Lei Shi, Naoki Shimizu, Jorge Sinclair, Steven Tong, Alexis Turgeon, Tim Uyeki, Frank van de Veerdonk, Steve Webb, Paula Williamson, Timo Wolf, Junhua Zhang

Research output: Contribution to journalReview articleAcademicpeer-review

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Abstract

Clinical research is necessary for an effective response to an emerging infectious disease outbreak. However, research efforts are often hastily organised and done using various research tools, with the result that pooling data across studies is challenging. In response to the needs of the rapidly evolving COVID-19 outbreak, the Clinical Characterisation and Management Working Group of the WHO Research and Development Blueprint programme, the International Forum for Acute Care Trialists, and the International Severe Acute Respiratory and Emerging Infections Consortium have developed a minimum set of common outcome measures for studies of COVID-19. This set includes three elements: a measure of viral burden (quantitative PCR or cycle threshold), a measure of patient survival (mortality at hospital discharge or at 60 days), and a measure of patient progression through the health-care system by use of the WHO Clinical Progression Scale, which reflects patient trajectory and resource use over the course of clinical illness. We urge investigators to include these key data elements in ongoing and future studies to expedite the pooling of data during this immediate threat, and to hone a tool for future needs.
Original languageEnglish
Pages (from-to)e192-e197
JournalLancet infectious diseases
Volume20
Issue number8
Early online date2020
DOIs
Publication statusPublished - Aug 2020

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