Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study.

ABSTRACT:

Objective

To create and validate a simple and transferable machine learning model from electronic health record data to accurately predict clinical deterioration in patients with covid-19 across institutions, through use of a novel paradigm for model development and code sharing.

Design

Retrospective cohort study.

Setting

One US hospital during 2015-21 was used for model training and internal validation. External validation was conducted on patients admitted to hospital with covid-19 at 12 other US medical centers during 2020-21.

Participants

33 119 adults (≥18 years) admitted to hospital with respiratory distress or covid-19.

Main outcome measures

An ensemble of linear models was trained on the development cohort to predict a composite outcome of clinic

SUBMITTER: Kamran F 

PROVIDER: S-EPMC8850910 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature