Real-time electronic health record mortality prediction during the COVID-19 pandemic: a prospective cohort study.

ABSTRACT:

Objective

To rapidly develop, validate, and implement a novel real-time mortality score for the COVID-19 pandemic that improves upon sequential organ failure assessment (SOFA) for decision support for a Crisis Standards of Care team.

Materials and methods

We developed, verified, and deployed a stacked generalization model to predict mortality using data available in the electronic health record (EHR) by combining 5 previously validated scores and additional novel variables reported to be associated with COVID-19-specific mortality. We verified the model with prospectively collected data from 12 hospitals in Colorado between March 2020 and July 2020. We compared the area under the receiver operator curve (AUROC) for the new model to the SOFA score and the Charlson Comorbidity

SUBMITTER: Sottile PD 

PROVIDER: S-EPMC8136054 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature