Clinical characteristics and a decision tree model to predict death outcome in severe COVID-19 patients

Clinical characteristics and a decision tree model to predict death outcome in severe COVID-19 patients

Abstract Background The novel coronavirus disease 2019 (COVID-19) spreads rapidly among people and causes a pandemic. It is of great clinical significance to identify COVID-19 patients with high risk of death. Methods A total of 2169 adult COVID-19 patients were enrolled from Wuhan, China, from Febr...

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Bibliographic Details
Main Authors: Qiao Yang, Jixi Li, Zhijia Zhang, Xiaocheng Wu, Tongquan Liao, Shiyong Yu, Zaichun You, Xianhua Hou, Jun Ye, Gang Liu, Siyuan Ma, Ganfeng Xie, Yi Zhou, Mengxia Li, Meihui Wu, Yimei Feng, Weili Wang, Lufeng Li, Dongjing Xie, Yunhui Hu, Xi Liu, Bin Wang, Songtao Zhao, Li Li, Chunmei Luo, Tang Tang, Hongmei Wu, Tianyu Hu, Guangrong Yang, Bangyu Luo, Lingchen Li, Xiu Yang, Qi Li, Zhi Xu, Hao Wu, Jianguo Sun
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Infectious Diseases
Subjects:
COVID-19
Decision tree
Neutrophil-to-lymphocyte ratio
C-reactive protein
Lactic dehydrogenase
Online Access:https://doi.org/10.1186/s12879-021-06478-w

Internet

https://doi.org/10.1186/s12879-021-06478-w

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