Zhang Xinyi, Chen Zhu, Zheng Jun, Feng Chen, Zhao Bennan, Lan Lijuan, Liu Dafeng
The First Ward of Internal Medicine, Public Health Clinical Centre of Chengdu, Chengdu, People's Republic of China.
Department of Endocrinology & Metabolism, Sichuan University West China Hospital, Chengdu, People's Republic of China.
Int J Gen Med. 2024 Oct 10;17:4559-4577. doi: 10.2147/IJGM.S478912. eCollection 2024.
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.
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.
At admission, the severe group demonstrated significantly lower total lymphocyte counts and percentages, CD3 and CD3CD4 T cell counts and percentages, CD3CD8 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, CD3CD4 and CD3CD8 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, CD3CD4 and CD3CD8 T cell counts, CD3 and CD3CD4 T cell percentages (=-0.166, -0.179, -0.173, -0.186, -0.127, -0.117, -0.149, respectively)(all <0.05). The prognosis of death was also negatively correlated with total lymphocyte counts and percentages, CD3, CD3CD4 and CD3CD8 T cell counts (=-0.125, -0.121, -0.123, -0.123, -0.091, respectively)(all <0.05).
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.
Chinese Clinical Trial Register ChiCTR2000034563.
我们的队列研究旨在调查初次感染且未接种疫苗的新冠肺炎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。
共纳入773例患者,包括718例初次感染且未接种疫苗的新冠肺炎患者和55例对照。根据疾病严重程度,将新冠肺炎患者分为重症组和非重症组;根据预后,分为存活组和死亡组。采集血清样本以检测总淋巴细胞及淋巴细胞亚群的数量。分析不同严重程度组之间的差异。采用Spearman相关性分析评估淋巴细胞亚群与疾病严重程度及预后之间的关联。同时,分析受试者工作特征(ROC)曲线以确定最佳截断点。
入院时,重症组的总淋巴细胞计数及百分比、CD3及CD3CD4 T细胞计数及百分比、CD3CD8 T细胞计数、CD19 B细胞计数以及CD56 NK细胞计数及百分比均显著低于非重症组。同时,与存活组相比,死亡组的总淋巴细胞计数及百分比、CD3、CD3CD4及CD3CD8 T细胞计数也较低。此外,入院后四周内这些参数也存在差异。此外,Spearman分析显示,疾病严重程度与淋巴细胞计数及百分比、CD3、CD3CD4及CD3CD8 T细胞计数、CD3及CD3CD4 T细胞百分比呈负相关(分别为=-0.166、-0.179、-0.173、-0.186、-0.127、-0.117、-0.149)(均<0.05)。死亡预后也与总淋巴细胞计数及百分比、CD3、CD3CD4及CD3CD8 T细胞计数呈负相关(分别为=-0.125、-0.121、-0.123、-0.123、-0.091)(均<0.05)。
在初次感染且未接种疫苗的新冠肺炎患者中,新冠肺炎发病时的总淋巴细胞以及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。