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.
【저자키워드】 COVID-19, Lymphocyte subsets, flow cytometry, Computed tomography, Delayed hospitalization, 【초록키워드】 public health, severe COVID-19, Hospitalization, disease severity, NK cell, CD4, CD8, Peripheral blood, B cell, Lymphocyte count, lymphocyte, T cell, Chest, Logistic regression, Severe patient, patients, COVID-19 patients, mild patients, lesion, severe patients, alteration, proportions, multivariate, T lymphocyte, present, transpeptidase, significantly lower, Result, collected, proportion, correlated, changed, subset, gradually increased, independent predictor, mild patient, 【제목키워드】 Hospitalization, disease severity, COVID-19 patient, alteration, subset,