Xue Hua, Zeng Yuqi, Zou Xinyang, Li Yongkun
Department of Neurology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China.
Department of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Front Neurol. 2024 Sep 12;15:1431727. doi: 10.3389/fneur.2024.1431727. eCollection 2024.
The incidence of stroke has increased globally, resulting in medical expenditures and social burdens over the past few decades. We aimed to explore the relationship between systemic immune inflammatory index (SII) and stroke using the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018.
Based on NHANES data, 902 stroke patients and 27,364 non-stroke patients were included in this study. SII was the independent variable and stroke was the dependent variable. Univariate and multivariate logistic regression analyses were used to explore the association between SII and stroke. Restricted cubic spline (RCS) method was used to test the nonlinear association between SII and stroke.
Weighted logistic regression analysis showed a significant association between SII and stroke (OR: 1.985, 95% CI: 1.245-3.166, = 0.004). The interaction test showed that the association between SII and stroke was not significant between strata ( > 0.05). A significant positive association between SII and stroke risk (OR >1, < 0.05) was observed in the crude model, model I and model II. RCS analysis showed no nonlinear positive association between SII and stroke risk after adjusting for all confounders.
Our study determined that SII is associated with stroke risk. Given the inherent limitations of cross-sectional studies, further research is necessary to validate the causality of this association and to demystify the underlying mechanisms between inflammation and stroke.
在过去几十年中，全球中风发病率不断上升，导致了医疗支出和社会负担的增加。我们旨在利用2005年至2018年的美国国家健康与营养检查调查（NHANES）来探讨全身免疫炎症指数（SII）与中风之间的关系。
基于NHANES数据，本研究纳入了902例中风患者和27364例非中风患者。SII为自变量，中风为因变量。采用单因素和多因素逻辑回归分析来探讨SII与中风之间的关联。使用受限立方样条（RCS）方法来检验SII与中风之间的非线性关联。
加权逻辑回归分析显示SII与中风之间存在显著关联（OR：1.985，95%CI：1.245 - 3.166，P = 0.004）。交互作用检验表明，SII与中风之间的关联在各层之间不显著（P > 0.05）。在粗模型、模型I和模型II中观察到SII与中风风险之间存在显著正相关（OR > 1，P < 0.05）。RCS分析显示，在调整所有混杂因素后，SII与中风风险之间不存在非线性正相关。
我们的研究确定SII与中风风险相关。鉴于横断面研究的固有局限性，有必要进一步研究以验证这种关联的因果关系，并揭开炎症与中风之间潜在机制的神秘面纱。
