A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19.

ABSTRACT:

Objective

Coronavirus disease 2019 (COVID-19) exists as a pandemic. Mortality during hospitalization is multifactorial, and there is urgent need for a risk stratification model to predict in-hospital death among COVID-19 patients. Here we aimed to construct a risk score system for early identification of COVID-19 patients at high probability of dying during in-hospital treatment.

Methods

In this retrospective analysis, a total of 821 confirmed COVID-19 patients from 3 centers were assigned to developmental (n = 411, between January 14, 2020 and February 11, 2020) and validation (n = 410, between February 14, 2020 and March 13, 2020) groups. Based on demographic, symptomatic, and laboratory variables, a new Coronavirus estimation global (CORE-G) score for predic

SUBMITTER: Zeng H 

PROVIDER: S-EPMC9749948 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature