典型文献
A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19
文献摘要：
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 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 (
H = 3.210,
P = 0.880), and it was well validated in the validation group (
H = 6.948,
P= 0.542). 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 (
n = 85,20.7%) and validation (
n = 94, 22.9%,
P = 0.608) 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.
文献关键词：
Hospital mortality;Coronavirus estimation global score;COVID-19;Goodness-of-fit;Receiver operating characteristics;Risk stratification
中图分类号：
作者姓名：
Zeng Hesong;He Xingwei;Liu Wanjun;Kan Jing;He Liqun;Zhao Jinhe;Chen Cynthia;Zhang Junjie;Chen Shaoliang
作者机构：
Division of Cardiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei 430030, China;Division of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210006, China;Division of Cardiology, Wuhan First Hospital, Wuhan, Hubei 430022, China;Division of Cardiology, Tianyou Hospital affiliated to Wuhan University of Science & Technology, Wuhan, Hubei 430064, China;Mailman School of Public Health, Columbia University, New York, New York 10027, USA;College of Pharmacy, Nanjing Medical University, Nanjing, Jiangsu 210002, China
文献出处：
引用格式：
[1]Zeng Hesong;He Xingwei;Liu Wanjun;Kan Jing;He Liqun;Zhao Jinhe;Chen Cynthia;Zhang Junjie;Chen Shaoliang-.A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19)[J].心血管病探索（英文）,2022(02):69-76
A类：
Goodness
B类：
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AB值：
0.511922
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