| Therapeutic Advances in Respiratory Disease | 卷:15 |
| The predictive role of lymphocyte subsets and laboratory measurements in COVID-19 disease: a retrospective study | |
| Original Research | |
| Lin Wang1  Jun Chen2  Jun Zhao3  Feng Li4  Shuihua Lu5  Ping Liu5  Xu-hui Liu5  Qin Huang6  He Wang7  Qing nian Xu8  Xiaomin Liu2  Shijun Yu9  Hongzhou Lu10  | |
| [1] Department of Paediatrics, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China | |
| [2] Department of Infectious Diseases and Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China | |
| [3] Department of Intensive care unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China | |
| [4] Medical Affairs, BD Biosciences, San Jose, CA, USA | |
| [5] Department of Nursing, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China | |
| [6] Department of Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China | |
| [7] Department of Respiratory Disease, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China | |
| [8] Department of Tuberculosis, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China | |
| [9] Department of Hepatology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, P.R. China | |
| [10] Department of Infectious Diseases, Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, P.R. China | |
| 关键词: CD3; CD4; cellular immunity; COVID-19; lymphocyte subsets; predictive; | |
| DOI : 10.1177/17534666211049739 | |
| received in 2021-05-11, accepted in 2021-09-08, 发布年份 2021 | |
| 来源: Sage Journals | |
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【 摘 要 】
Aim:The aim of this study was to investigate the predictive role of lymphocyte subsets and other laboratory measurements in patients with COVID-19.Methods:Electronic medical records of adult patients with confirmed diagnosis of COVID-19 from the Shanghai Public Health Clinical Center were reviewed retrospectively to obtain relevant data.Results:The mean age of patients was 40.98 ± 15.95 years, with 58% of the patients being males. The cutoff values at the intensive care unit (ICU) admission, mechanical ventilation, and mortality were CD4+ cells (267, 198, and 405), CD8+ cells (263, 203, and 182), and CD4+ /CD8+ cells (1.4, 1.8, and 1.4). The cutoffs below these values indicate the higher chances of disease progression. Higher CD4+ cell count led to lesser chances for ICU admission [odds ratio (OR) (95% confidence interval (CI): 0.994 (0.991, 0.997); p = 0.0002] and mortality [OR (95% CI): 0.988 (0.979, 0.99); p = 0.001], higher CD8+ count was an independent risk factor for ICU admission. T-cell count positively correlated with total lymphocyte count and platelets, while negatively correlated with D-dimer and lactate dehydrogenase (LDH). Among patients with non-severe COVID-19, median CD8+ T cell, CD4+ T cell, total lymphocyte count, and platelets were 570, 362, 1.45, and 211, respectively, while median values decreased to 149, 106, 0.64, and 172, respectively, in patients with severe COVID-19.Conclusion:Lower T lymphocyte subsets were significantly associated with higher admission to ICU, mechanical ventilation, and mortality among patients with COVID-19. A cutoff value of ICU admission, mechanical ventilation, and mortality below CD4+ cells (267, 198, and 405), CD8+ cells (263, 203, 182), and CD4+/CD8+ cells (1.4, 1.8, 1.4) may help identify patients at high risk of disease progression. The continuous evaluation of laboratory indices may help with dismal prognosis and prompt intervention to improve outcomes.
【 授权许可】
CC BY-NC
© The Author(s), 2021
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202609140011749ZK.pdf | 839KB | ||
| Figure 9 | 101KB | Image | |
| Figure 8@(a) | 32KB | Image | |
| Figure 8@(c) | 38KB | Image | |
| Figure 2 | 79KB | Image | |
| Table 6. | 94KB | Table | |
| Figure 20 | 53KB | Image |
【 图 表 】
Figure 20
Figure 2
Figure 8@(c)
Figure 8@(a)
Figure 9
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