Open AccessDevelopment and Validation of a Nomogram for Predicting the Risk of Coronavirus-Associated Acute Respiratory Distress Syndrome: A Retrospective Cohort Study
Author(s) -
Li Zhang,
Jing Xu,
Xiaoling Qi,
Zheying Tao,
Zhitao Yang,
Wei Chen,
Xiaoli Wang,
Tingting Pan,
Yunqi Dai,
Rui Tian,
Yang Chen,
Bin Tang,
Zhaojun Liu,
Ruoming Tan,
Hongping Qu,
Yue Yu,
Jialin Liu
Publication year - 2022
Publication title -
infection and drug resistance
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.033
H-Index - 39
ISSN - 1178-6973
DOI - 10.2147/idr.s348278
Subject(s) - nomogram , medicine , receiver operating characteristic , cohort , logistic regression , retrospective cohort study , area under the curve , univariate , multivariate statistics , statistics , mathematics
Since the outbreak of coronavirus disease (COVID-19) in December 2019 in Wuhan, it has spread rapidly worldwide. We aimed to establish and validate a nomogram that predicts the probability of coronavirus-associated acute respiratory distress syndrome (CARDS).