Daxian Wu1, Xiaoping Wu1, Jiansheng Huang1, Qunfang Rao1, Qi Zhang2, Wenfeng Zhang3. 1. Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, No.17 Yongwai Street, Donghu District, Nanchang, 330006, Jiangxi Province, China. 2. Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China. 3. Department of Infectious Diseases, the First Affiliated Hospital, Nanchang University, No.17 Yongwai Street, Donghu District, Nanchang, 330006, Jiangxi Province, China. wenfengzhang0000@163.com.
Abstract
BACKGROUND: COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19 patients. METHODS: Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients. RESULTS: Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4+ T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4+ T cell, and CD8+ T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). For severe patients, the counts of T cell, CD4+ T cell, CD8+ T cell gradually decreased with the increased delayed hospitalization (p = 0.001, 0.03, and < 0.001, respectively). The proportions of T cell, CD8+ T cell gradually decreased with the increased delayed hospitalization (both p < 0.001), but the proportions of NK cell, B cell gradually increased with the increased delayed hospitalization (p = 0.007, and 0.002, respectively). For mild patients, only the NK cell count was gradually decreased with the increased delayed hospitalization (p = 0.012). CONCLUSION: T lymphocyte and its subset negatively correlated with disease severity, CT manifestation and delayed hospitalization. The counts of lymphocyte subset were changed more profound than their proportions.
BACKGROUND:COVID-19 continuously threated public health heavily. Present study aimed to investigate the lymphocyte subset alterations with disease severity, imaging manifestation, and delayed hospitalization in COVID-19patients. METHODS: Lymphocyte subsets was classified using flow cytometry with peripheral blood collected from 106 patients. RESULTS: Multivariate logistic regression showed that chest tightness, lymphocyte count, and γ-glutamyl transpeptidase were the independent predictors for severe COVID-19. The T cell, CD4+ T cell and B cell counts in severe patients were significantly lower than that in mild patients (p = 0.004, 0.003 and 0.046, respectively). Only the T cell count was gradually decreased with the increase of infiltrated quadrants of lesions in computed tomography (CT) (p = 0.043). The T cell, CD4+ T cell, and CD8+ T cell counts were gradually decreased with the increase of infiltrated area of the maximum lesion in CT (p = 0.002, 0.003, 0.028; respectively). For severe patients, the counts of T cell, CD4+ T cell, CD8+ T cell gradually decreased with the increased delayed hospitalization (p = 0.001, 0.03, and < 0.001, respectively). The proportions of T cell, CD8+ T cell gradually decreased with the increased delayed hospitalization (both p < 0.001), but the proportions of NK cell, B cell gradually increased with the increased delayed hospitalization (p = 0.007, and 0.002, respectively). For mild patients, only the NK cell count was gradually decreased with the increased delayed hospitalization (p = 0.012). CONCLUSION: T lymphocyte and its subset negatively correlated with disease severity, CT manifestation and delayed hospitalization. The counts of lymphocyte subset were changed more profound than their proportions.