The association between plasma soluble triggering receptor expressed on myeloid cells 2 and cognitive impairment after acute ischemic stroke

四分位数 混淆 医学 置信区间 优势比 内科学 逻辑回归 冲程(发动机) 机械工程 工程类
作者
Yinwei Zhu,Yu Zhao,Yaling Lu,Chongquan Fang,Qi Zhang,Jintao Zhang,Zhong Ju,Yonghong Zhang,Tan Xu,Chongke Zhong
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:299: 287-293 被引量:21
标识
DOI:10.1016/j.jad.2021.12.011
摘要

Previous researches have suggested that soluble triggering receptor expressed on myeloid cells 2 (sTREM2) plays a pivotal role in central nervous system pathologies and the development of neurodegenerative disorders. This study aimed to prospectively investigate the association between plasma sTREM2 levels and post-stroke cognitive impairment (PSCI).A sample of 599 consecutive acute ischemic stroke patients with sTREM2 measurements from the China Antihypertensive Trial in Acute Ischemic Stroke were eventually included in this analysis. Cognitive impairment was defined as a score of <25 for Mini-Mental State Examination, measured at 3-month follow up. Binary logistic regression was used to estimate the odds ratios (ORs) of plasma sTREM2 levels on the risk of PSCI.Of the 599 participants (mean age, 60.0 ± 10.4 years; male, 70.5%), 228 (38.1%) patients were diagnosed as PSCI. The risk of PSCI elevated significantly with higher plasma sTREM2 levels (p for trend <0.01). After adjusting for several confounding factors, the ORs for the highest quartile of sTREM2 compared with the lowest quartile was 2.06 (95% confidence interval, 1.20-3.53) for PSCI. Moreover, the addition of sTREM2 to the conventional model with established risk factors significantly improved risk discrimination (C-statistics increased from 0.668 to 0.691, p = 0.02) and reclassification (net reclassification improvement: 32.2%, p < 0.001; integrated discrimination improvement: 1.3%, p = 0.01) for PSCI.Results might be subject to selective bias and potential confounding.The present study demonstrated that elevated level of plasma sTREM2 may be associated with PSCI, and sTREM2 has potential value in predicting PSCI.

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