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The characteristics and predictive role of lymphocyte subsets in COVID-19 patients

OBJECTIVE: To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. METHOD: We evaluated lymphocyte subsets and other clinical features of COVID-19 patients, and analyzed their potential impacts on COVID-19 outcomes. RESULTS: 1. Lymphocyte subset counts in...

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Detalles Bibliográficos
Autores principales: Zhang, Wenjing, Li, Lei, Liu, Jihai, Chen, Li, Zhou, Fangfang, Jin, Ting, Jiang, Lin, Li, Xiang, Yang, Ming, Wang, Hongxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398035/
https://www.ncbi.nlm.nih.gov/pubmed/32758688
http://dx.doi.org/10.1016/j.ijid.2020.06.079
Descripción
Sumario:OBJECTIVE: To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. METHOD: We evaluated lymphocyte subsets and other clinical features of COVID-19 patients, and analyzed their potential impacts on COVID-19 outcomes. RESULTS: 1. Lymphocyte subset counts in the peripheral blood of patients with COVID-19 were significantly reduced, especially in patients with severe disease. 2. In patients with non-severe disease, the time from symptom onset to hospital admission was positively correlated with total T cell counts. 3. Among COVID-19 patients who did not reach the composite endpoint, lymphocyte subset counts were higher than in patients who had reached the composite endpoint. 4. The Kaplan-Meier survival curves showed significant differences in COVID-19 patients, classified by the levels of total, CD8(+), and CD4(+) T cells at admission. CONCLUSION: Our study showed that total, CD8(+), and CD4(+) T cell counts in patients with COVID-19 were significantly reduced, especially in patients with severe disease. Lower T lymphocyte subsets were significantly associated with a higher occurrence of composite endpoint events. These subsets may help identify patients with a high risk of composite endpoint events.