A predictive model for disease progression in non-severely ill patients with coronavirus disease 2019. Issue 1 (16th July 2020)

• Record Type: Journal Article
• Authors: Ji, Mengyao; Yuan, Lei; Shen, Wei; Lv, Junwei; Li, Yong; Chen, Jia; Zhu, Chaonan; Liu, Bo; Liang, Zhenzhen; Lin, Qiang; Xie, Wenjie; Li, Ming; Chen, Zhifan; Lu, Xuefang; Ding, YiJuan; An, Ping; Zhu, Sheng; Gao, Mengting; Ni, Hao; Hu, Lanhua; Shi, Guanglei; Shi, Lei; Dong, Weiguo
• Is Part Of: European respiratory journal. Volume 56:Issue 1(2020)
• Publication Date: 2020-07-16
• Subjects: Respiratory organs -- Diseases -- Periodicals; Respiration -- Periodicals; 616.2
• DOI: 10.1183/13993003.01234-2020
• Languages: English
• ISSNs: 0903-1936

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