Neutrophil-to-Lymphocyte Ratios Are Closely Associated With the Severity and Course of Non-mild COVID-19

作者：Sen Qun, Yulan Wang, Jun Chen, Xiang Huang, Hui Guo, Zhaohui Lu, Jinquan Wang, Changcheng Zheng, Yan Ma, Yuyou Zhu, Daqing Xia, Yinzhong Wang, Hongliang He, Yong Wang, Mingming Fei, Yihong Yin, Mao Zheng, Yehong Xu, Wei Ge, Fuyong Hu, Jian Zhou · 发表于：Frontiers in Immunology · 年份：2020 · DOI：10.3389/fimmu.2020.02160 · 被引用次数：46 · 研究领域：Inflammatory Biomarkers in Disease Prognosis、COVID-19 Clinical Research Studies、Inflammation biomarkers and pathways

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is spreading worldwide. Measuring the prevention and control of the disease has become a matter requiring urgent focus. Objective Based on coronavirus disease 2019 (COVID-19) clinical data from Wuhan, we conducted an in-depth analysis to clarify some of the pathological mechanisms of the disease and identify simple measures to predict its severity early on. Methods A total of 230 patients with non-mild COVID-19 were recruited, and information on their clinical characteristics, inflammatory cytokines, and T lymphocyte subsets was collected. Risk factors for severity were analyzed by binary logistic regression, and the associations of neutrophil-to-lymphocyte ratios (N/LRs) with illness severity, disease course, CT grading, inflammatory cytokines, and T lymphocyte subsets were evaluated. Results Our results showed that the N/LRs were closely related to interleukin (IL)-6 and IL-10 ( P < 0.001, P = 0.024) and to CD3 + and CD8 + T lymphocytes ( P < 0.001, P = 0.046). In particular, the N/LRs were positively correlated with the severity and course of the disease ( P = 0.021, P < 0.001). Compared to the values at the first test after admission, IL-6 and IL-10 were significantly decreased and increased, respectively, as of the last test before discharge ( P = 0.006, P < 0.001). More importantly, through binary logistic regression, we found that male sex, underlyin...