A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China
Sun Yat-sen University · Third Affiliated Hospital of Sun Yat-sen University · +4 more institutions
Abstract
Because there is no reliable risk stratification tool for severe coronavirus disease 2019 (COVID-19) patients at admission, we aimed to construct an effective model for early identification of cases at high risk of progression to severe COVID-19.
In this retrospective multicenter study, 372 hospitalized patients with nonsevere COVID-19 were followed for > 15 days after admission. Patients who deteriorated to severe or critical COVID-19 and those who maintained a nonsevere state were assigned to the severe and nonsevere groups, respectively. Based on baseline data of the 2 groups, we constructed a risk prediction nomogram for severe COVID-19 and evaluated its performance.
Citation impact
- FWCI
- 12.02
- Percentile
- 100%
- References
- 25
Authors
12- JGJiao GongCorresponding
Sun Yat-sen University, Third Affiliated Hospital of Sun Yat-sen University
- JOJingyi Ou
Guangzhou Eighth People's Hospital, Guangzhou Medical University
- XQXueping Qiu
Wuhan University, Zhongnan Hospital of Wuhan University
- YJYusheng Jie
Sun Yat-sen University, Third Affiliated Hospital of Sun Yat-sen University
- YCYaqiong Chen
Sun Yat-sen University, Third Affiliated Hospital of Sun Yat-sen University
Topics & keywords
- Nomogram
- Coronavirus disease 2019 (COVID-19)
- 2019-20 coronavirus outbreak
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- China
- Coronavirus
- Pandemic
- Disease
- Good health and well-being