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

Author:

,Hall Matthew D1ORCID,Baruch Joaquín2,Carson Gail2,Citarella Barbara Wanjiru2,Dagens Andrew2,Dankwa Emmanuelle A3,Donnelly Christl A34,Dunning Jake2,Escher Martina2,Kartsonaki Christiana5,Merson Laura26ORCID,Pritchard Mark2,Wei Jia1,Horby Peter W2,Rojek Amanda27,Olliaro Piero L2

Affiliation:

1. Big Data Institute, Nuffield Department of Medicine, University of Oxford

2. ISARIC Global Support Centre, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford

3. Department of Statistics, University of Oxford

4. MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics and Department of Infectious Disease Epidemiology, Imperial College London

5. MRC Population Health Research Unit, Clinical Trials Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford

6. Infectious Diseases Data Observatory, Centre for Tropical Medicine and Global Health, University of Oxford

7. Royal Melbourne Hospital, Melbourne, Australia Centre for Integrated Critical Care, University of Melbourne

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 dependency 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 & Melinda Gates Foundation [OPP1209135]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Funder

Wellcome Trust

Bill and Melinda Gates Foundation

University of Oxford's COVID-19 Research Response Fund

H2020 European Research Council

European Clinical Research Alliance on Infectious Diseases

Health Research Board of Ireland

National Institute for Health Research

Medical Research Council

Public Health England

Respiratory Infections at Imperial College London with PHE

NIHR Biomedical Research Centre at Imperial College London

Research Council of Norway

Liverpool Experimental Cancer Medicine Centre

CIHR Coronavirus Rapid Research Funding Opportunity

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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