A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients

A nomogramic model based on clinical and laboratory parameters at admission for predicting the survival of COVID-19 patients

Abstract Background COVID-19 has become a major global threat. The present study aimed to develop a nomogram model to predict the survival of COVID-19 patients based on their clinical and laboratory data at admission. Methods COVID-19 patients who were admitted at Hankou Hospital and Huoshenshan Hos...

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Bibliographic Details
Main Authors: Xiaojun Ma, Huifang Wang, Junwei Huang, Yan Geng, Shuqi Jiang, Qiuping Zhou, Xuan Chen, Hongping Hu, Weifeng Li, Chengbin Zhou, Xinglin Gao, Na Peng, Yiyu Deng
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Infectious Diseases
Subjects:
SARS-CoV-2
COVID-19
Risk factor
Prediction model
Nomogram
Online Access:https://doi.org/10.1186/s12879-020-05614-2

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