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Prediction Model Based on the Combination of Cytokines and Lymphocyte Subsets for Prognosis of SARS-CoV-2 Infection.
Luo, Ying; Mao, Liyan; Yuan, Xu; Xue, Ying; Lin, Qun; Tang, Guoxing; Song, Huijuan; Wang, Feng; Sun, Ziyong.
  • Luo Y; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030, China.
  • Mao L; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030, China.
  • Yuan X; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030, China.
  • Xue Y; Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Jiefang Road 1095, Wuhan, 430030, China.
  • Lin Q; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030, China.
  • Tang G; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030, China.
  • Song H; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030, China.
  • Wang F; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030, China. fengwang@tjh.tjmu.edu.cn.
  • Sun Z; Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030, China. zysun@tjh.tjmu.edu.cn.
J Clin Immunol ; 40(7): 960-969, 2020 10.
Article in English | MEDLINE | ID: covidwho-641161
ABSTRACT

BACKGROUND:

There are currently rare satisfactory markers for predicting the death of patients with coronavirus disease 2019 (COVID-19). The aim of this study is to establish a model based on the combination of serum cytokines and lymphocyte subsets for predicting the prognosis of the disease.

METHODS:

A total of 739 participants with COVID-19 were enrolled at Tongji Hospital from February to April 2020 and classified into fatal (n = 51) and survived (n = 688) groups according to the patient's outcome. Cytokine profile and lymphocyte subset analysis was performed simultaneously.

RESULTS:

The fatal patients exhibited a significant lower number of lymphocytes including B cells, CD4+ T cells, CD8+ T cells, and NK cells and remarkably higher concentrations of cytokines including interleukin-2 receptor, interleukin-6, interleukin-8, and tumor necrosis factor-α on admission compared with the survived subjects. A model based on the combination of interleukin-8 and the numbers of CD4+ T cells and NK cells showed a good performance in predicting the death of patients with COVID-19. When the threshold of 0.075 was used, the sensitivity and specificity of the prediction model were 90.20% and 90.26%, respectively. Meanwhile, interleukin-8 was found to have a potential value in predicting the length of hospital stay until death.

CONCLUSIONS:

Significant increase of cytokines and decrease of lymphocyte subsets are found positively correlated with in-hospital death. A model based on the combination of three markers provides an attractive approach to predict the prognosis of COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Cytokines / Lymphocyte Subsets / Coronavirus Infections / Betacoronavirus / Models, Biological Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Clin Immunol Year: 2020 Document Type: Article Affiliation country: S10875-020-00821-7

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Cytokines / Lymphocyte Subsets / Coronavirus Infections / Betacoronavirus / Models, Biological Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: English Journal: J Clin Immunol Year: 2020 Document Type: Article Affiliation country: S10875-020-00821-7