Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital.

Journal: Journal of translational medicine
Published Date: Feb 5, 2021

Abstract

BACKGROUND: Clinical risk scores and machine learning models based on routine laboratory values could assist in automated early identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients at risk for severe clinical outcomes. They can guide patient triage, inform allocation of health care resources, and contribute to the improvement of clinical outcomes.

Authors

  • Verena Schöning
    Max Zeller Söhne AG, CH 8590 Romanshorn, Switzerland.
  • Evangelia Liakoni
    Clinical Pharmacology and Toxicology, Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Christine Baumgartner
    Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Aristomenis K Exadaktylos
    Department of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Wolf E Hautz
    Department of Emergency Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Andrew Atkinson
    Pediatric Pharmacology and Pharmacometrics Research Group, University Children's Hospital Basel, Basel, Switzerland.
  • Felix Hammann
    Department of Clinical Pharmacology, University Hospital Basel, CH 4031 Basel, Switzerland.

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