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

Author:

Cheng Sijing,Wu Dingfeng,Li Jie,Zou Yifeng,Wan Yunle,Shen Lihan,Zhu LixinORCID,Shi Mang,Hou Linlin,Xu Tao,Jiao Na,Li Yichen,Huang Yibo,Tang Zhipeng,Xu Mingwei,Jiang Shusong,Li Maokun,Yan Guangjun,Lan Ping,Zhu Ruixin

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 < 1.1 × 109/L, neutrophil-to-lymphocyte ratio > 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.

Funder

National Natural Science Foundation of China

Key Projects of Dongguan City Social Science and Technology Development Plan

Guangdong Province “Pearl River Talent Plan” Innovation and Entrepreneurship Team Project

National Key Clinical Discipline of China

Publisher

Springer Science and Business Media LLC

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