Peripheral blood lymphocyte subset count in COVID-19 patients

IF 0.1 Q4 HEMATOLOGY Egyptian Journal of Haematology Pub Date : 2023-01-01 DOI:10.4103/ejh.ejh_3_22
D. Shahin, M. Mortada, N. Abousamra, Nadia El Menshawy, Ahmed Hasan, Noha Eisa, S. El-Ashwah, Z. Emarah, Marwa O Elmaria, Mostafa Bakeer, Ahmed Saleh, Mayada A. Ghannam
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Abstract

Background: (COVID-19) pathophysiology and the predictive factors are not fully understood, but lymphocyte dysregulation appears to play a role. Aim and Objectives: To explore the clinical value of lymphocyte subset changes in COVID-19 patients’ peripheral blood, which may illustrate the pathogenesis of COVID-19. Methods: This is prospective cohort study of 73 hospitalized patients with confirmed COVID-19 who were classified into two groups: non-severe and severe. Lymphocyte subsets (CD3, CD4, CD8, CD19, and CD56) were assessed using flow cytometry. Results Lymphocyte gate, CD3, CD4, CD8, and CD56 counts were significantly reduced in severe cases compared with nonsevere cases (P0.001, 0.006, 0.016, 0.011, and 0.008 respectively). Patients were divided into two groups according to cut off age (<50 and ≥ 50years) and (NLR) (NLR <4.14 and NLR ≥ 4.14). There was a significant difference in severe illness probability in two groups P0.001 and 0.001 respectively). Then, patients were divided into four groups by both NLR cutoff and age, There also significant difference in severe illness probability between four groups (P<0.001). Conclusion Based on our data, management of patients with COVID-19 pneumonia can be improved based on NLR and age model. We suggest that patients with NLR ≥ 4.14 should be admitted to isolation ward with close follow-up and actively transfer to intensive care unit.
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COVID-19患者外周血淋巴细胞亚群计数
背景:(新冠肺炎)病理生理学和预测因素尚不完全清楚,但淋巴细胞失调似乎起到了一定作用。目的:探讨新冠肺炎患者外周血淋巴细胞亚群变化的临床价值,以阐明新冠肺炎的发病机制。方法:对73例确诊为新冠肺炎住院患者进行前瞻性队列研究,将其分为非重症和重症两组。使用流式细胞术评估淋巴细胞亚群(CD3、CD4、CD8、CD19和CD56)。结果重症患者淋巴细胞门、CD3、CD4、CD8和CD56计数较非重症患者显著降低(分别为P0.001、0.006、0.016、0.011和0.008)。根据截断年龄(<50岁和≥50岁)和(NLR)分为两组(NLR<4.14和NLR≥4.14),两组重症发生率差异有统计学意义(P<0.01和0.001)。然后将患者按NLR截断值和年龄分为四组,四组患者的重症概率也有显著差异(P<0.001)。结论根据我们的数据,基于NLR和年龄模型,可以改善新冠肺炎肺炎患者的管理。我们建议NLR≥4.14的患者应入住隔离病房,密切随访,并积极转入重症监护室。
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