Prediction Model Based on the Combination of Cytokines and Lymphocyte Subsets for Prognosis of SARS-CoV-2 Infection
- PDF / 1,714,172 Bytes
- 10 Pages / 595.276 x 790.866 pts Page_size
- 20 Downloads / 161 Views
ORIGINAL ARTICLE
Prediction Model Based on the Combination of Cytokines and Lymphocyte Subsets for Prognosis of SARS-CoV-2 Infection Ying Luo 1 & Liyan Mao 1 & Xu Yuan 1 & Ying Xue 2 & Qun Lin 1 & Guoxing Tang 1 & Huijuan Song 1 & Feng Wang 1 & Ziyong Sun 1 Received: 12 May 2020 / Accepted: 2 July 2020 # The Author(s) 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. 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 inhospital death. A model based on the combination of three markers provides an attractive approach to predict the prognosis of COVID-19. Keywords Coronavirus disease 2019 . severe acute respiratory syndrome coronavirus 2 . cytokines . lymphocyte subsets . prognosis
Introduction
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10875-020-00821-7) contains supplementary material, which is available to authorized users. * Feng Wang [email protected] * Ziyong Sun [email protected] 1
Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan 430030, China
2
Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Jiefang Road 1095, Wuhan 430030, China
The novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) infection presents a paramount and urgent threat to global health [1]. As of 2 May 2020, there were around 3,200,000 confirmed cases, including more than 220,000 deaths, reported worldwide [2]. Therefore, combating this new virus and stopping the epidemic are a matter of urgency. Given that
Data Loading...
