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

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    Author
    WHO Working Group on the Clinical Characterisation and Management of COVID-19 infection
    Date
    2020-08
    Source Title
    Lancet Infectious Diseases
    Publisher
    Elsevier BV
    University of Melbourne Author/s
    Denholm, Justin; Tong, Steven
    Affiliation
    Microbiology and Immunology
    Doherty Institute
    Metadata
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    Document Type
    Journal Article
    Citations
    WHO Working Group on the Clinical Characterisation and Management of COVID-19 infection (2020). A minimal common outcome measure set for COVID-19 clinical research.. Lancet Infect Dis, 20 (8), pp.e192-e197. https://doi.org/10.1016/S1473-3099(20)30483-7.
    Access Status
    Access this item via the Open Access location
    URI
    http://hdl.handle.net/11343/254538
    DOI
    10.1016/S1473-3099(20)30483-7
    Open Access URL
    https://europepmc.org/articles/PMC7292605?pdf=render
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292605
    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.

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