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Risk factors for the critical illness in SARS-CoV-2 infection: a multicenter retrospective cohort study.
Cheng, Sijing; Wu, Dingfeng; Li, Jie; Zou, Yifeng; Wan, Yunle; Shen, Lihan; Zhu, Lixin; 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.
  • Cheng S; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
  • Wu D; School of Medicine, Sun Yat-sen University, 510006/Shenzhen, Guangzhou, 518107, China.
  • Li J; Putuo People's Hospital, Department of Bioinformatics, Tongji University, Shanghai, 200092, China.
  • Zou Y; The Third Clinical Medical College of Yangtze University, Jingzhou Hospital of Traditional Chinese Medicine, Jingzhou, 434000, China.
  • Wan Y; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
  • Shen L; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
  • Zhu L; Department of Intensive Care Medicine, Dongguan People's Hospital, Dongguan, 523059, China.
  • Shi M; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China. zhulx6@mail.sysu.edu.cn.
  • Hou L; School of Medicine, Sun Yat-sen University, 510006/Shenzhen, Guangzhou, 518107, China.
  • Xu T; School of Medicine, Sun Yat-sen University, 510006/Shenzhen, Guangzhou, 518107, China.
  • Jiao N; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
  • Li Y; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
  • Huang Y; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
  • Tang Z; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
  • Xu M; Institute of Digestive Disease, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.
  • Jiang S; Jieyang People's Hospital, Jieyang, 522000, Guangdong, China.
  • Li M; Jieyang People's Hospital, Jieyang, 522000, Guangdong, China.
  • Yan G; The Third Clinical Medical College of Yangtze University, Jingzhou Hospital of Traditional Chinese Medicine, Jingzhou, 434000, China. 5298856@qq.com.
  • Lan P; The Third Clinical Medical College of Yangtze University, Jingzhou Hospital of Traditional Chinese Medicine, Jingzhou, 434000, China. 1415961889@qq.com.
  • Zhu R; The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China. lanping@mail.sysu.edu.cn.
Respir Res ; 21(1): 277, 2020 Oct 21.
Article in English | MEDLINE | ID: covidwho-883578
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Critical Illness / Coronavirus Infections Type of study: Cohort study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Respir Res Year: 2020 Document Type: Article Affiliation country: S12931-020-01492-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Critical Illness / Coronavirus Infections Type of study: Cohort study / Observational study / Prognostic study Limits: Adult / Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: Respir Res Year: 2020 Document Type: Article Affiliation country: S12931-020-01492-z