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Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort

  • ISARIC Clinical Characterisation Group

Research output: Contribution to journalArticlepeer-review

Abstract

Background: There is potentially considerable variation in the nature and duration of the care provided to hospitalised patients during an infectious disease epidemic or pandemic. Improvements in care and clinician confidence may shorten the time spent as an inpatient, or the need for admission to an intensive care unit (ICU) or high density unit (HDU). On the other hand, limited resources at times of high demand may lead to rationing. Nevertheless, these variables may be used as static proxies for disease severity, as outcome measures for trials, and to inform planning and logistics. Methods: We investigate these time trends in an extremely large international cohort of 142,540 patients hospitalised with COVID-19. Investigated are: Time from symptom onset to hospital admission, probability of ICU/HDU admission, time from hospital admission to ICU/HDU admission, hospital case fatality ratio (hCFR) and total length of hospital stay. Results: Time from onset to admission showed a rapid decline during the first months of the pandemic followed by peaks during August/September and December 2020. ICU/HDU admission was more frequent from June to August. The hCFR was lowest from June to August. Raw numbers for overall hospital stay showed little variation, but there is clear decline in time to discharge for ICU/HDU survivors. Conclusions: Our results establish that variables of these kinds have limitations when used as outcome measures in a rapidly-evolving situation. Funding: This work was supported by the UK Foreign, Commonwealth and Development Office and Wellcome [215091/Z/18/Z] and the Bill and Melinda Gates Foundation [OPP1209135]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Original languageEnglish
Article numbere70970
JournaleLife
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2021, eLife Sciences Publications Ltd. All rights reserved.

Funding

This work was supported by the UK Foreign, Commonwealth and Development Office and Funding: This work was supported by the UK Foreign, Commonwealth and Development Council (MRC; grant MC_PC_19059), and by the NIHR Health Protection Research Unit (award 200927), Liverpool Experimental Cancer Medicine Centre (grant C18616/A25153), Critical Care-Clinical Trials Network at University College Dublin and funded by the Health ISARIC4C Investigators. Data and Material provision was supported by grants from: the

FundersFunder number
University of Cape Town
Japan Society for the Promotion of Science20K10415
101003589
C18616/A25153
312780

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Epidemiology
    • Global health
    • Human
    • Medicine
    • Viruses

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