A predictive model for disease progression in non-severely ill patients with coronavirus disease 2019
Mengyao Ji, Lei Yuan, Wei Shen, Junwei Lv, Yong Li, Jia Chen, Chaonan Zhu, Bo Liu, Zhenzhen Liang, Qiang Lin, Wenjie Xie, Ming Li, Zhifan Chen, Xuefang Lu, YiJuan Ding, Ping An, Sheng Zhu, Mengting Gao, Hao Ni, Lanhua Hu, Guanglei Shi, Lei Shi, Weiguo Dong
Abstract
Over the past 3 months, coronavirus disease 2019 (COVID-19) has emerged across China and developed into a worldwide outbreak [1]. The disease has caused varying degrees of illness. The proportion of patients with COVID-19 with non-severe illness was 84.3% on admission, and severe cases accounted for 15.7% [2]. Most of the non-severe pneumonia patients would gradually alleviate and be cured with treatment, while others would rapidly progress to severe illness, which has a poor prognosis [3, 4]. As recently reported, the cumulative risk of the composite end-point was 3.6% in all COVID-19 patients, and the cumulative risk was 20.6% for severe illness [2]. A predictive model for COVID-19 <https://bit.ly/2WHiEkJ>