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Flow Cytometric Analysis of Lymphocyte Subsets of Covid-19 Patients from A Single Centre in Turkey
2023
Journal:  
Acıbadem Üniversitesi Sağlık Bilimleri Dergisi
Author:  
Abstract:

Purpose: Lymphocyte counts have been shown to negatively correlate with the severity in Covid-19. The aim of this study is to analyse the distribution of lymphocyte subsets in response to SARS-CoV-2 infection and its relation to the severity of the disease. Methods: Blood samples were obtained from 67 consecutive patients between April 2020 and July 2020. Data on other laboratory parameters, and clinical course were collected retrospectively from patient files and patients were defined to have as severe or non-severe (mild/moderate) disease. Leukocyte subsets to be studied were identified by using flow cytometric analysis (Beckman Coulter Navios Ex V2.0). Patients were allocated into 3 groups based on the day of blood sample collection: Days 0-7, 8-14 and >14 as Group I, Group II and Group III, respectively. In 10 of 67 patients an additional analysis was done 7-10 days after the initial sampling. Results: A total of 67 patients (30 female, 37 male) with a median age of 57 were evaluated. Lower total lymphocyte, CD3 positive, CD4 positive and B-cell counts were identified in severe infection compared to non-severe infection group which were also correlated with high serum CRP, D-dimer and ferritin levels. NK and monocyte counts were not different between the two groups. Activation markers CD38 and HLA-DR on CD4 and CD8 positive lymphocytes also were not different in either group. Conclusion: CD3 and CD4 lymphopenia were lower in accordance with previous studies and were associated with severe disease. The expectancy of high activation markers was not met. Future studies with detailed subgroup analyses at different time-points will shed more light on our general knowledge of the immune response to COVID-19.

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2023
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Acıbadem Üniversitesi Sağlık Bilimleri Dergisi

Field :   Sağlık Bilimleri

Journal Type :   Ulusal

Metrics
Article : 1.079
Cite : 4.392
2023 Impact : 0.11
Acıbadem Üniversitesi Sağlık Bilimleri Dergisi