A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19.
Cardiol Discov
; 2(2): 69-76, 2022 Jun.
Artigo
em Inglês
| MEDLINE | ID: covidwho-2190856
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 (nâ=â411, between January 14, 2020 and February 11, 2020) and validation (nâ=â410, 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 prediction of in-hospital death was established from the developmental group, and its performance was then evaluated in the validation group.Results:
The CORE-G score consisted of 18 variables (5 demographics, 2 symptoms, and 11 laboratory measurements) with a sum of 69.5 points. Goodness-of-fit tests indicated that the model performed well in the developmental group (Hâ=â3.210, Pâ=â0.880), and it was well validated in the validation group (Hâ=â6.948, Pâ=â0.542). The areas under the receiver operating characteristic curves were 0.955 in the developmental group (sensitivity, 94.1%; specificity, 83.4%) and 0.937 in the validation group (sensitivity, 87.2%; specificity, 84.2%). The mortality rate was not significantly different between the developmental (nâ=â85,20.7%) and validation (nâ=â94, 22.9%, Pâ=â0.608) groups.Conclusions:
The CORE-G score provides an estimate of the risk of in-hospital death. This is the first step toward the clinical use of the CORE-G score for predicting outcome in COVID-19 patients.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
MEDLINE
Tipo de estudo:
Estudo experimental
/
Estudo observacional
/
Estudo prognóstico
/
Ensaios controlados aleatorizados
Idioma:
Inglês
Revista:
Cardiol Discov
Ano de publicação:
2022
Tipo de documento:
Artigo
País de afiliação:
CD9.0000000000000052
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