External validation of a clinical risk score to predict hospital admission and in-hospital mortality in COVID-19 patients.

ABSTRACT:

Background

Identification of patients with novel coronavirus disease 2019 (COVID-19) requiring hospital admission or at high-risk of in-hospital mortality is essential to guide patient triage and to provide timely treatment for higher risk hospitalized patients.

Methods

A retrospective multi-centre (8 hospital) cohort at Beaumont Health, Michigan, USA, reporting on COVID-19 patients diagnosed between 1 March and 1 April 2020 was used for score validation. The COVID-19 Risk of Complications Score was automatically computed by the EHR. Multivariate logistic regression models were built to predict hospital admission and in-hospital mortality using individual variables constituting the score. Validation was performed using both discrimination and calibration.

Results

Comp

SUBMITTER: Halalau A 

PROVIDER: S-EPMC7877986 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature