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

Respiratory Research

Lihan Shen¹  Zhipeng Tang²  Mingwei Xu³  Shusong Jiang³  Dingfeng Wu⁴  Ruixin Zhu⁴  Mang Shi⁵  Linlin Hou⁵  Lixin Zhu⁶  Yibo Huang⁶  Yifeng Zou⁶  Yichen Li⁶  Na Jiao⁶  Yunle Wan⁶  Ping Lan⁷  Sijing Cheng⁷  Maokun Li⁸  Guangjun Yan⁸  Jie Li⁸  Tao Xu⁹ 

[1] Department of Intensive Care Medicine, Dongguan People’s Hospital, 523059, Dongguan, China;Institute of Digestive Disease, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, 200032, Shanghai, China;Jieyang People’s Hospital, 522000, Jieyang, Guangdong, China;Putuo People’s Hospital, Department of Bioinformatics, Tongji University, 200092, Shanghai, China;School of Medicine, Sun Yat-sen University, 510006/Shenzhen, 518107, Guangzhou, China;The Sixth Affiliated Hospital, Sun Yat-sen University, 510655, Guangzhou, China;The Sixth Affiliated Hospital, Sun Yat-sen University, 510655, Guangzhou, China;School of Medicine, Sun Yat-sen University, 510006/Shenzhen, 518107, Guangzhou, China;The Third Clinical Medical College of Yangtze University, Jingzhou Hospital of Traditional Chinese Medicine, 434000, Jingzhou, China;Zhongshan School of Medicine, Sun Yat-sen University, 510080, Guangzhou, China;

关键词: COVID-19;    SARS-CoV-2;    Intensive care;    Ventilator;    SOFA score;    Age;    Dyspnea;    Leukocytosis;   

DOI  :  10.1186/s12931-020-01492-z

来源: Springer

【 摘 要 】

BackgroundPrior 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.MethodsFifty-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.ResultsAge 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.ConclusionsOur 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.

【 授权许可】

CC BY