Dynamic Characteristics of Lymphocyte Subsets and Their Predictive Value for Disease Progression and Prognosis in Primary Infection and Unvaccinated COVID-19 Patients.
Xinyi Zhang, Zhu Chen, Jun Zheng, Chen Feng, Bennan Zhao, Lijuan Lan, Dafeng Liu
{"title":"Dynamic Characteristics of Lymphocyte Subsets and Their Predictive Value for Disease Progression and Prognosis in Primary Infection and Unvaccinated COVID-19 Patients.","authors":"Xinyi Zhang, Zhu Chen, Jun Zheng, Chen Feng, Bennan Zhao, Lijuan Lan, Dafeng Liu","doi":"10.2147/IJGM.S478912","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>At admission, the severe group demonstrated significantly lower total lymphocyte counts and percentages, CD3<sup>+</sup> and CD3<sup>+</sup>CD4<sup>+</sup> T cell counts and percentages, CD3<sup>+</sup>CD8<sup>+</sup> T cell counts, CD19<sup>+</sup> B cell counts and CD56<sup>+</sup> 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<sup>+</sup>, CD3<sup>+</sup>CD4<sup>+</sup> and CD3<sup>+</sup>CD8<sup>+</sup> 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<sup>+</sup>, CD3<sup>+</sup>CD4<sup>+</sup> and CD3<sup>+</sup>CD8<sup>+</sup> T cell counts, CD3<sup>+</sup> and CD3<sup>+</sup>CD4<sup>+</sup> T cell percentages (<i>r</i>=-0.166, -0.179, -0.173, -0.186, -0.127, -0.117, -0.149, respectively)(all <i>P</i><0.05). The prognosis of death was also negatively correlated with total lymphocyte counts and percentages, CD3<sup>+</sup>, CD3<sup>+</sup>CD4<sup>+</sup> and CD3<sup>+</sup>CD8<sup>+</sup> T cell counts (<i>r</i>=-0.125, -0.121, -0.123, -0.123, -0.091, respectively)(all <i>P</i><0.05).</p><p><strong>Conclusion: </strong>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.</p><p><strong>Clinical trial registry: </strong>Chinese Clinical Trial Register ChiCTR2000034563.</p>","PeriodicalId":14131,"journal":{"name":"International Journal of General Medicine","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11472736/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of General Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/IJGM.S478912","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
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.
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.