articleClinical Infectious DiseasesApr 14, 2020BRONZE OA

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

PubMed
Indexed incrossrefpubmed

Abstract

Background

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.

Methods

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

518
total citations
FWCI
12.02
Percentile
100%
References
25
Citations per year

Authors

12

Topics & keywords

Keywords
  • Nomogram
  • Coronavirus disease 2019 (COVID-19)
  • 2019-20 coronavirus outbreak
  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
  • China
  • Coronavirus
  • Pandemic
  • Disease
UN Sustainable Development Goals
  • Good health and well-being
No related works found for this paper.