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Risk factors for the critical illness in SARS-CoV-2 infection: a multicenter retrospective cohort study

Authors :
Sijing Cheng
Dingfeng Wu
Jie Li
Yifeng Zou
Yunle Wan
Lihan Shen
Lixin Zhu
Mang Shi
Linlin Hou
Tao Xu
Na Jiao
Yichen Li
Yibo Huang
Zhipeng Tang
Mingwei Xu
Shusong Jiang
Maokun Li
Guangjun Yan
Ping Lan
Ruixin Zhu
Source :
Respiratory Research, Vol 21, Iss 1, Pp 1-12 (2020)
Publication Year :
2020
Publisher :
BMC, 2020.

Abstract

Abstract Background Prior studies reported that 5 ~ 32% COVID-19 patients were critically ill, a situation that poses great challenge for the management of the patients and ICU resources. We aim to identify independent risk factors to serve as prediction markers for critical illness of SARS-CoV-2 infection. Methods Fifty-two critical and 200 non-critical SARS-CoV-2 nucleic acid positive patients hospitalized in 15 hospitals outside Wuhan from January 19 to March 6, 2020 were enrolled in this study. Multivariable logistic regression and LASSO logistic regression were performed to identify independent risk factors for critical illness. Results Age older than 60 years, dyspnea, respiratory rate > 24 breaths per min, leukocytosis > 9.5 × 109/L, neutrophilia > 6.3 × 109/L, lymphopenia 3.53, fibrinogen > 4 g/L, d-dimer > 0.55 μg/mL, blood urea nitrogen > 7.1 mM, elevated aspartate transaminase, elevated alanine aminotransferase, total bilirubin > 21 μM, and Sequential Organ Failure Assessment (SOFA) score ≥ 2 were identified as risk factors for critical illness. LASSO logistic regression identified the best combination of risk factors as SOFA score, age, dyspnea, and leukocytosis. The Area Under the Receiver-Operator Curve values for the risk factors in predicting critical illness were 0.921 for SOFA score, 0.776 for age, 0.764 for dyspnea, 0.658 for leukocytosis, and 0.960 for the combination of the four risk factors. Conclusions Our findings advocate the use of risk factors SOFA score ≥ 2, age > 60, dyspnea and leukocytosis > 9.5 × 109/L on admission, alone or in combination, to determine the optimal management of the patients and health care resources.

Details

Language :
English
ISSN :
1465993X
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Respiratory Research
Publication Type :
Academic Journal
Accession number :
edsdoj.0d2c3ecd32a94512a9ff33d220d1c812
Document Type :
article
Full Text :
https://doi.org/10.1186/s12931-020-01492-z