Analysis of Lymphocyte Subpopulations and Cytokines in COVID-19-Associated Pneumonia and Community-Acquired Pneumonia

Liu, Guohong; Jiang, Xianghu; Zeng, Xiaojiao; Pan, Yunbao; Xu, Haibo

BACKGROUND: The 2019 novel coronavirus SARS-CoV-2 caused large outbreaks of COVID-19 worldwide. COVID-19 resembles community-acquired pneumonia (CAP). Our aim was to identify lymphocyte subpopulations to distinguish between COVID-19 and CAP. METHODS: We compared the peripheral blood lymphocytes and their subsets in 296 patients with COVID-19 and 130 patients with CAP. Parameters for independent prediction of COVID-19 were calculated by logistic regression. RESULTS: The main lymphocyte subpopulations (CD3(+)CD4(+), CD16(+)CD56(+), and CD4(+)/CD8(+) ratio) and cytokines (TNF-α and IFN-γ) of COVID-19 patients were significantly different from that of CAP patients. CD16(+)CD56(+)%, CD4(+)/CD8(+)ratio, CD19(+), and CD3(+)CD4(+) were identified as predictors of COVID-19 diagnosis by logistic regression. In addition, the CD3(+)CD4(+)counts, CD3(+)CD8(+) counts, andTNF-α are independent predictors of disease severity in patients. CONCLUSIONS: Lymphopenia is an important part of SARS-CoV-2 infection, and lymphocyte subsets and cytokines may be useful to predict the severity and clinical outcomes of the disease.