TY - T1的疾病掠夺的预测模型ression in non-severely ill patients with coronavirus disease 2019 JF - European Respiratory Journal JO - Eur Respir J DO - 10.1183/13993003.01234-2020 VL - 56 IS - 1 SP - 2001234 AU - Ji, Mengyao AU - Yuan, Lei AU - Shen, Wei AU - Lv, Junwei AU - Li, Yong AU - Chen, Jia AU - Zhu, Chaonan AU - Liu, Bo AU - Liang, Zhenzhen AU - Lin, Qiang AU - Xie, Wenjie AU - Li, Ming AU - Chen, Zhifan AU - Lu, Xuefang AU - Ding, YiJuan AU - An, Ping AU - Zhu, Sheng AU - Gao, Mengting AU - Ni, Hao AU - Hu, Lanhua AU - Shi, Guanglei AU - Shi, Lei AU - Dong, Weiguo Y1 - 2020/07/01 UR - //www.qdcxjkg.com/content/56/1/2001234.abstract N2 - 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 ER -