Prediction of COVID-19 Patients at High Risk of Progression to Severe Disease

• Autori principali: Zhenyu Dai (Autore), Dong Zeng (Autore), Dawei Cui (Autore), Dawei Wang (Autore), Yanling Feng (Autore), Yuhan Shi (Autore), Liangping Zhao (Autore), Jingjing Xu (Autore), Wenjuan Guo (Autore), Yuexiang Yang (Autore), Xinguo Zhao (Autore), Duoduo Li (Autore), Ye Zheng (Autore), Ao Wang (Autore), Minmin Wu (Autore), Shu Song (Autore), Hongzhou Lu (Autore)
• Natura: Libro
• Pubblicazione: Frontiers Media S.A., 2020-11-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

In order to develop a novel scoring model for the prediction of coronavirus disease-19 (COVID-19) patients at high risk of severe disease, we retrospectively studied 419 patients from five hospitals in Shanghai, Hubei, and Jiangsu Provinces from January 22 to March 30, 2020. Multivariate Cox regress...