Impact of peripheral lymphocyte subsets on prognosis for patients after acute ischemic stroke: A potential disease prediction model approach

被引:0
|
作者
Zhou, Xin [1 ]
Xue, Song [1 ]
Si, Xiang-Kun [1 ]
Du, Wen-Yu [1 ]
Guo, Ya-Nan [1 ]
Qu, Yang [1 ]
Guo, Zhen-Ni [1 ,2 ]
Sun, Xin [1 ]
机构
[1] First Hosp Jilin Univ, Stroke Ctr, Dept Neurol, Xinmin St 1, Changchun 130021, Peoples R China
[2] First Hosp Jilin Univ, Neurosci Res Ctr, Dept Neurol, Changchun, Peoples R China
关键词
acute ischemic stroke; immune cells; lymphocyte subsets; NIHSS; prognosis; REGULATORY T-CELLS; INFLAMMATION; MECHANISMS; CYTOKINES; CD4(+); SYSTEM;
D O I
10.1111/cns.70023
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Aims: To investigate the relationship between peripheral blood lymphocyte subsets and prognosis in patients with acute ischemic stroke (AIS). Methods: We enrolled 294 patients with AIS and collected peripheral blood samples for analysis of lymphocyte subsets. Prognosis was assessed at 3 months using the modified Rankin Scale (mRS). Association between lymphocyte count and poor outcomes (mRS score >2) was assessed using logistic regression. Individualized prediction models were developed to predict poor outcomes. Results: Patients in the mRS score <= 2 group had higher T-cell percentage (odds ratio [OR] = 0.947; 95% confidence interval [CI]: 0.899-0.998; p = 0.040), CD3(+) T-cell count (OR = 0.999; 95% CI: 0.998-1.000; p = 0.018), and CD4(+) T-cell count (OR = 0.998; 95% CI: 0.997-1.000; p = 0.030) than those in the mRS score >2 group 1-3 days after stroke. The prediction model for poor prognosis based on the CD4(+) T-cell count showed good discrimination (area under the curve of 0.844), calibration (p > 0.05), and clinical utility. Conclusion: Lower T cell percentage, CD3(+), and CD4(+) T-cell counts 1-3 days after stroke were independently associated with increased risk of poor prognosis. Individualized predictive model of poor prognosis based on CD4(+) T-cell count have good accuracy and may predict disease prognosis.
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页数:10
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