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Prediction Model Based on the Combination of Cytokines and Lymphocyte Subsets for Prognosis of SARS-CoV-2 Infection.
- Source :
-
Journal of clinical immunology [J Clin Immunol] 2020 Oct; Vol. 40 (7), pp. 960-969. Date of Electronic Publication: 2020 Jul 13. - Publication Year :
- 2020
-
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.<br />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.<br />Results: The fatal patients exhibited a significant lower number of lymphocytes including B cells, CD4 <superscript>+</superscript> T cells, CD8 <superscript>+</superscript> 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 <superscript>+</superscript> 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.<br />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.
- Subjects :
- Aged
Aged, 80 and over
Betacoronavirus genetics
Betacoronavirus isolation & purification
Biomarkers blood
COVID-19
COVID-19 Testing
China epidemiology
Clinical Laboratory Techniques methods
Coronavirus Infections blood
Coronavirus Infections diagnosis
Coronavirus Infections epidemiology
Coronavirus Infections immunology
Cytokines immunology
Female
Humans
Length of Stay
Lymphocyte Count
Male
Middle Aged
Pandemics
Pneumonia, Viral blood
Pneumonia, Viral epidemiology
Pneumonia, Viral immunology
Prognosis
RNA, Viral isolation & purification
Reverse Transcriptase Polymerase Chain Reaction
Risk Assessment methods
SARS-CoV-2
Betacoronavirus immunology
Coronavirus Infections mortality
Cytokines blood
Lymphocyte Subsets immunology
Models, Biological
Pneumonia, Viral mortality
Subjects
Details
- Language :
- English
- ISSN :
- 1573-2592
- Volume :
- 40
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Journal of clinical immunology
- Publication Type :
- Academic Journal
- Accession number :
- 32661797
- Full Text :
- https://doi.org/10.1007/s10875-020-00821-7