Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort study.

ABSTRACT:

Background

Timely identification of deteriorating COVID-19 patients is needed to guide changes in clinical management and admission to intensive care units (ICUs). There is significant concern that widely used Early warning scores (EWSs) underestimate illness severity in COVID-19 patients and therefore, we developed an early warning model specifically for COVID-19 patients.

Methods

We retrospectively collected electronic medical record data to extract predictors and used these to fit a random forest model. To simulate the situation in which the model would have been developed after the first and implemented during the second COVID-19 'wave' in the Netherlands, we performed a temporal validation by splitting all included patients into groups admitted before and after August 1

SUBMITTER: Smit JM 

PROVIDER: S-EPMC9482891 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature