Original Article(s)
Vol. 11 (2023)
Analysis of lymphocyte subsets in COVID-19 patients: a retrospective observational study
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Received: 7 December 2022
Accepted: 29 June 2023
Accepted: 29 June 2023
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In this retrospective study, we analyzed the possible predictive changes in lymphocyte subsets of Coronavirus Disease 19 (COVID-19) hospitalized patients. We enrolled 107 COVID-19 patients older than 18 years of age, admitted to Alessandria Hospital with a confirmed diagnosis of SARS-CoV-2 infection by Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR), who performed the analysis of lymphocyte subsets, between 2020 March 01 and 2021 May 31. Patients have been split up into two groups, based on clinical manifestations: group 1 non-severe disease (n=44) and group 2 severe disease (n=63), according to the World Health Organization (WHO) interim guidance. For the comparison between the two groups of patients, statistical significance was tested with the Mann-Whitney and the Chi-Square test. In the group of patients with severe disease, the blood cell analysis showed a significant reduction in the counts of total lymphocytes, absolute CD3 lymphocytes, and CD8 lymphocytes, as well as a significant reduction in monocyte percent and a very significant increase in neutrophil counts. From the results obtained, it can be stated that lymphocytopenia is associated with the progression of the disease and increased mortality.
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Citations
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How to Cite
Analysis of lymphocyte subsets in COVID-19 patients: a retrospective observational study. (2023). Working Paper of Public Health, 11(1). https://doi.org/10.4081/wpph.2023.9643
Copyright (c) 2023 Maria Matilde Ciriello, Nicoletta Tommasi, Costanza Massarino, Antonella Cassinari, Thea Bensi, Raffaella Doglio, Annalisa Roveta, Antonio Maconi
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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