Prognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA.

ABSTRACT:

Objectives

To develop a prognostic model to identify and quantify risk factors for mortality among patients admitted to the hospital with COVID-19.

Design

Retrospective cohort study. Patients were randomly assigned to either training (80%) or test (20%) sets. The training set was used to fit a multivariable logistic regression. Predictors were ranked using variable importance metrics. Models were assessed by C-indices, Brier scores and calibration plots in the test set.

Setting

Optum de-identified COVID-19 Electronic Health Record dataset including over 700 hospitals and 7000 clinics in the USA.

Participants

17 086 patients hospitalised with COVID-19 between 20 February 2020 and 5 June 2020.

Main outcome measure

All-cause mortality while hospitalised.

SUBMITTER: Incerti D 

PROVIDER: S-EPMC8029269 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature