Dynamic Characteristics of Lymphocyte Subsets and Their Predictive Value for Disease Progression and Prognosis in Primary Infection and Unvaccinated COVID-19 Patients.

IF 2.1 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
International Journal of General Medicine Pub Date : 2024-10-10 eCollection Date: 2024-01-01 DOI:10.2147/IJGM.S478912
Xinyi Zhang, Zhu Chen, Jun Zheng, Chen Feng, Bennan Zhao, Lijuan Lan, Dafeng Liu
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引用次数: 0

Abstract

Aim: Our cohort study aimed to investigate the dynamic changes of lymphocyte subsets and their abilities to predict disease severity and prognosis in primary infection and unvaccinated COVID-19 patients.

Methods: A total of 773 cases, including 718 primary infection and unvaccinated COVID-19 patients and 55 controls. COVID-19 patients were assigned to severe and nonsevere groups according to disease severity, as well as survival and death groups according to prognosis. Serum samples were collected to measure the numbers of total lymphocytes and lymphocyte subsets. The differences among different severity groups were analyzed. Spearman correlation was performed to assess associations between lymphocyte subsets and disease severity and prognosis. Meanwhile, receiver operating characteristic (ROC) curves were also analyzed to find optimal cutoff points.

Results: At admission, the severe group demonstrated significantly lower total lymphocyte counts and percentages, CD3+ and CD3+CD4+ T cell counts and percentages, CD3+CD8+ T cell counts, CD19+ B cell counts and CD56+ NK cell counts and percentages than the nonsevere group. Meanwhile, compared with the survival group, the death group also had lower total lymphocyte counts and percentages, CD3+, CD3+CD4+ and CD3+CD8+ T cell counts. Additionally, differences in these parameters were also noticed within four weeks after admission. Furthermore, Spearman analysis reported that disease severity was negatively correlated with lymphocyte counts and percentages, CD3+, CD3+CD4+ and CD3+CD8+ T cell counts, CD3+ and CD3+CD4+ T cell percentages (r=-0.166, -0.179, -0.173, -0.186, -0.127, -0.117, -0.149, respectively)(all P<0.05). The prognosis of death was also negatively correlated with total lymphocyte counts and percentages, CD3+, CD3+CD4+ and CD3+CD8+ T cell counts (r=-0.125, -0.121, -0.123, -0.123, -0.091, respectively)(all P<0.05).

Conclusion: In primary infection and unvaccinated COVID-19 patients total lymphocytes and T cell, B cell and NK cell subsets at COVID-19 onset play valuable roles in predicting disease severity and prognosis.

Clinical trial registry: Chinese Clinical Trial Register ChiCTR2000034563.

原发性感染和未接种 COVID-19 疫苗患者淋巴细胞亚群的动态特征及其对疾病进展和预后的预测价值
目的:我们的队列研究旨在探讨原发性感染和未接种COVID-19患者淋巴细胞亚群的动态变化及其预测疾病严重程度和预后的能力:共773例病例,包括718例原发性感染和未接种COVID-19的患者以及55例对照组。根据病情严重程度将 COVID-19 患者分为重症组和非重症组,并根据预后情况将患者分为生存组和死亡组。采集血清样本以测量总淋巴细胞和淋巴细胞亚群的数量。分析了不同严重程度组之间的差异。采用斯皮尔曼相关性评估淋巴细胞亚群与疾病严重程度和预后之间的关系。同时,还分析了接收者操作特征曲线(ROC),以找到最佳截断点:入院时,重症组淋巴细胞总数及百分比、CD3+和CD3+CD4+ T细胞总数及百分比、CD3+CD8+ T细胞总数、CD19+ B细胞总数和CD56+ NK细胞总数及百分比均显著低于非重症组。同时,与生存组相比,死亡组的淋巴细胞总数和百分比、CD3+、CD3+CD4+ 和 CD3+CD8+ T 细胞计数也较低。此外,这些参数在入院后四周内也存在差异。此外,斯皮尔曼分析显示,疾病严重程度与淋巴细胞计数和百分比、CD3+、CD3+CD4+ 和 CD3+CD8+ T 细胞计数、CD3+ 和 CD3+CD4+ T 细胞百分比呈负相关(r=-0.166, -0.179, -0.173, -0.186, -0.127, -0.117, -0.149, respectively)(均为 P+,CD3+CD4+ 和 CD3+CD8+ T 细胞计数(r=-0.125, -0.121, -0.123, -0.123, -0.091, respectively)(均为 PConclusion:在原发感染和未接种COVID-19的患者中,COVID-19发病时的淋巴细胞总数以及T细胞、B细胞和NK细胞亚群在预测疾病严重程度和预后方面发挥着重要作用:中国临床试验注册中心 ChiCTR2000034563。
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来源期刊
International Journal of General Medicine
International Journal of General Medicine Medicine-General Medicine
自引率
0.00%
发文量
1113
审稿时长
16 weeks
期刊介绍: The International Journal of General Medicine is an international, peer-reviewed, open access journal that focuses on general and internal medicine, pathogenesis, epidemiology, diagnosis, monitoring and treatment protocols. The journal is characterized by the rapid reporting of reviews, original research and clinical studies across all disease areas. A key focus of the journal is the elucidation of disease processes and management protocols resulting in improved outcomes for the patient. Patient perspectives such as satisfaction, quality of life, health literacy and communication and their role in developing new healthcare programs and optimizing clinical outcomes are major areas of interest for the journal. As of 1st April 2019, the International Journal of General Medicine will no longer consider meta-analyses for publication.
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