Development and Validation of a Web-Based Severe COVID-19 Risk Prediction Model.

ABSTRACT:

Background

Coronavirus disease 2019 (COVID-19) carries high morbidity and mortality globally. Identification of patients at risk for clinical deterioration upon presentation would aid in triaging, prognostication, and allocation of resources and experimental treatments.

Research question

Can we develop and validate a web-based risk prediction model for identification of patients who may develop severe COVID-19, defined as intensive care unit (ICU) admission, mechanical ventilation, and/or death?

Methods

This retrospective cohort study reviewed 415 patients admitted to a large urban academic medical center and community hospitals. Covariates included demographic, clinical, and laboratory data. The independent association of predictors with severe COVID-19 was determine

SUBMITTER: Woo SH 

PROVIDER: S-EPMC8141270 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature