Chen Xinxin, Xie Yuyi, Yu Chao, Li Zhi, Abuduaini Mayila, Zhang Di, Zuo Lian
Department of Neurology, East Hospital, Tongji University School of Medicine, Shanghai 200123, China; Department of Stroke Center, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China.
Department of Stroke Center, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China.
Neuroscience. 2025 Jun 7;576:234-240. doi: 10.1016/j.neuroscience.2025.04.043. Epub 2025 Apr 26.
Inflammation is a critical factor in the pathogenesis of acute ischemic stroke (AIS). The systemic inflammation response index (SIRI), which combines three inflammatory markers, serves as a comprehensive, accessible, and cost-effective tool for assessing inflammation. However, the potential of SIRI to predict the 3-month outcomes of AIS patients following intravenous thrombolysis (IVT) has not been fully explored. Given the urgency of improving patient prognostication and treatment strategies, this study aims to assess the predictive value of SIRI for AIS prognosis at the 3-month mark, providing insights that could enhance clinical decision-making and guide future therapeutic approaches.
AIS patients who received IVT from December 2020 to June 2024 were enrolled. The Modified Rankin Scale (mRS) was utilized to evaluate clinical outcomes. Propensity score matching (PSM) and logistic regression analysis were performed to investigate the association between SIRI and the 3-month prognosis in AIS patients.
A total of 559 AIS patients were enrolled in the study, with 433 (77.5 %) experiencing poor outcome. Among the 83 matched patient pairs following propensity score matching (PSM), a significant association was observed between the SIRI and clinical outcomes (OR, 2.27; 95 % CI, 1.42-3.65; p < 0.001). The optimal cutoff value for predicting outcomes was identified as a SIRI level of 0.856, achieving sensitivity and specificity of 84.1 % and 51.7 %, respectively.
Elevated SIRI levels are indicative of an increased likelihood of poor outcomes following IVT in AIS patients, suggesting that SIRI could serve as a valuable prognostic biomarker for patient recovery.
炎症是急性缺血性卒中(AIS)发病机制中的关键因素。全身炎症反应指数(SIRI)综合了三种炎症标志物,是一种评估炎症的全面、易用且经济高效的工具。然而,SIRI预测AIS患者静脉溶栓(IVT)后3个月预后的潜力尚未得到充分探索。鉴于改善患者预后和治疗策略的紧迫性,本研究旨在评估SIRI对AIS患者3个月预后的预测价值,为改善临床决策和指导未来治疗方法提供见解。
纳入2020年12月至2024年6月接受IVT的AIS患者。采用改良Rankin量表(mRS)评估临床结局。进行倾向得分匹配(PSM)和逻辑回归分析,以研究SIRI与AIS患者3个月预后之间的关联。
本研究共纳入559例AIS患者,其中433例(77.5%)预后不良。在倾向得分匹配(PSM)后的83对匹配患者中,观察到SIRI与临床结局之间存在显著关联(OR,2.27;95%CI,1.42 - 3.65;p < 0.001)。预测结局的最佳截断值确定为SIRI水平0.856,灵敏度和特异度分别为84.1%和51.7%。
SIRI水平升高表明AIS患者IVT后预后不良的可能性增加,提示SIRI可作为患者恢复的有价值的预后生物标志物。