Development and external validation of a COVID-19 mortality risk prediction algorithm: a multicentre retrospective cohort study.

ABSTRACT:

Objective

This study aimed to develop and externally validate a COVID-19 mortality risk prediction algorithm.

Design

Retrospective cohort study.

Setting

Five designated tertiary hospitals for COVID-19 in Hubei province, China.

Participants

We routinely collected medical data of 1364 confirmed adult patients with COVID-19 between 8 January and 19 March 2020. Among them, 1088 patients from two designated hospitals in Wuhan were used to develop the prognostic model, and 276 patients from three hospitals outside Wuhan were used for external validation. All patients were followed up for a maximal of 60 days after the diagnosis of COVID-19.

Methods

The model discrimination was assessed by the area under the receiver operating characteristic curve (AUC) and Som

SUBMITTER: Mei J 

PROVIDER: S-EPMC7768618 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature