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

被引:0
作者
Zhang, Xinyi [1 ,2 ]
Chen, Zhu [3 ]
Zheng, Jun [4 ]
Feng, Chen [5 ]
Zhao, Bennan [1 ]
Lan, Lijuan [1 ]
Liu, Dafeng [1 ]
机构
[1] Publ Hlth Clin Ctr Chengdu, First Ward Internal Med, 77 Jingming Rd, Chengdu 610066, Sichuan, Peoples R China
[2] Sichuan Univ, West China Hosp, Dept Endocrinol & Metab, Chengdu, Peoples R China
[3] Publ Hlth Clin Ctr Chengdu, Dept Drug Clin Trial C tr, Chengdu, Peoples R China
[4] Publ Hlth Clin Ctr Chengdu, Med Dept, Chengdu, Peoples R China
[5] Publ Hlth Clin Ctr Chengdu, Legal Serv Div, Chengdu, Peoples R China
关键词
lymphocyte subsets; coronavirus disease 2019; COVID-19; prediction; severity; prognosis; CLINICAL CHARACTERISTICS; WUHAN;
D O I
10.2147/IJGM.S478912
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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, 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.
引用
收藏
页码:4559 / 4577
页数:19
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