International Journal of Clinical Medicine

Volume 11, Issue 8 (August 2020)

ISSN Print: 2158-284X   ISSN Online: 2158-2882

Google-based Impact Factor: 0.52  Citations  h5-index & Ranking

COVID-19: Lymphocyte Subpopulations Monitoring in Critically Ill Patients

HTML  XML Download Download as PDF (Size: 899KB)  PP. 465-473  
DOI: 10.4236/ijcm.2020.118039    370 Downloads   1,212 Views  

ABSTRACT

Background: The alteration of lymphocyte subpopulations can help to predict the severity and the prognosis of severe Coronavirus disease 2019 (COVID-19). Our goal was to describe the kinetics of lymphocyte subsets, and their impact on the severity and mortality in critically ill COVID-19 patients. Methods: We collected demographic data, comorbidities, clinical signs on admission, laboratory findings on admission then a follow-up during hospitalization. Lymphocyte subsets including CD3+ T cells, CD4+ T cells, CD8+ T cells, B cells, and natural killer (NK) cells were counted by flow cytometer. Results: On admission, we observed lymphopenia in 57% of cases, decreased CD3+ T cells in 76% of cases, decreased CD4+ T cells in 81% of cases, decreased CD8+ T cells in 62% of cases, decreased B cells in 52% of cases, and decreased natural killer (NK) cells in 33% of cases. After treatment, decreased CD3+ T cells, decreased CD4+ T cells, decreased CD8+ T cells, and decreased natural killer cells were predictor factors of mortality, in the univariable analysis. Conclusion: CD3+ T cells, CD4+ T cells, CD8+ T cells, and natural killer cells were predictor factors of severity, ICU mortality, and also a useful tool for predicting disease progression.

Share and Cite:

Ziadi, A. , Hachimi, A. , Hazime, R. , Brahim, I. , Admou, B. , Douirek, F. , El Adib, A. , Younous, S. and Samkaoui, A. (2020) COVID-19: Lymphocyte Subpopulations Monitoring in Critically Ill Patients. International Journal of Clinical Medicine, 11, 465-473. doi: 10.4236/ijcm.2020.118039.

Cited by

No relevant information.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.