Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test.

Journal: The Lancet. Digital health
PMID: 33509388

Abstract

BACKGROUND: The early clinical course of COVID-19 can be difficult to distinguish from other illnesses driving presentation to hospital. However, viral-specific PCR testing has limited sensitivity and results can take up to 72 h for operational reasons. We aimed to develop and validate two early-detection models for COVID-19, screening for the disease among patients attending the emergency department and the subset being admitted to hospital, using routinely collected health-care data (laboratory tests, blood gas measurements, and vital signs). These data are typically available within the first hour of presentation to hospitals in high-income and middle-income countries, within the existing laboratory infrastructure.

Authors

  • Andrew A S Soltan
    Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, United Kingdom.
  • Samaneh Kouchaki
    Surrey Institute for People-Centred Artificial Intelligence, University of Surrey, Guildford GU2 7XH, Surrey, UK.
  • Tingting Zhu
    Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK.
  • Dani Kiyasseh
  • Thomas Taylor
    Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
  • Zaamin B Hussain
    Harvard Graduate School of Education and Harvard T H Chan School of Public Health, Harvard University, Boston MA, USA.
  • Tim Peto
    John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Department of Medicine, University of Oxford, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford and Public Health England, Oxford, UK.
  • Andrew J Brent
    John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • David W Eyre
    John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK; NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance, University of Oxford and Public Health England, Oxford, UK.
  • David A Clifton

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