Comparison of in-hospital mortality risk prediction models from COVID-19.

ABSTRACT:

Objective

Our objective is to compare the predictive accuracy of four recently established outcome models of patients hospitalized with coronavirus disease 2019 (COVID-19) published between January 1st and May 1st 2020.

Methods

We used data obtained from the Veterans Affairs Corporate Data Warehouse (CDW) between January 1st, 2020, and May 1st 2020 as an external validation cohort. The outcome measure was hospital mortality. Areas under the ROC (AUC) curves were used to evaluate discrimination of the four predictive models. The Hosmer-Lemeshow (HL) goodness-of-fit test and calibration curves assessed applicability of the models to individual cases.

Results

During the study period, 1634 unique patients were identified. The mean age of the study cohort was 68.8±13.4 yea

SUBMITTER: El-Solh AA 

PROVIDER: S-EPMC7769558 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature