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COVID-19: Lymphocyte Subpopulations Monitoring in Critically Ill Patients
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作者 Amra Ziadi Abdelhamid Hachimi +6 位作者 raja Hazime Imane Brahim Brahim Admou Fouzia Douirek ahmed r. el adib Said Younous Abdenasser M. Samkaoui 《International Journal of Clinical Medicine》 2020年第8期465-473,共9页
<strong>Background: </strong>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 kinet... <strong>Background: </strong>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. <strong>Methods: </strong>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. <strong>Results:</strong> 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.<strong> Conclusion:</strong> 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. 展开更多
关键词 SARS-CoV-2 Coronavirus Disease 2019 Lymphocyte Subsets Critical Care Outcomes
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