Chen Liandong, Xu Xier, Zhou Yidong
The Fifth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
The School of Pharmacy, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Eur J Med Res. 2025 Jun 16;30(1):481. doi: 10.1186/s40001-025-02773-3.
Overactive bladder (OAB) is an intricate disorder with an unclear pathophysiological relationship with inflammation. This study employs the Systemic Inflammation Response Index (SIRI) as a quantitative measure of systemic inflammatory status and explores its association with both the risk and severity of OAB, as assessed by the Overactive Bladder Symptom Score (OABSS).
Population data from the National Health and Nutrition Examination Survey (NHANES) in 2005-2020 were extracted. Weighted logistic regression and weighted linear regression models were utilized to examine the relation of SIRI to OAB risk and OABSS. The possible nonlinear relation of SIRI to clinical outcomes was examined via restricted cubic spline (RCS) models. In addition, subgroup analyses and interaction tests helped to explore the consistency of these associations across subpopulations.
23,915 individuals were encompassed for our analysis. 9011 (21%) were diagnosed with OAB. Both weighted linear and logistic regression analyses demonstrated a significant link of SIRI to OAB risk and symptom severity (fully adjusted model: β = 0.143, 95% CI 0.086-0.200, P < 0.001; OR = 1.268, 95% CI 1.122-1.413, P < 0.001). The RCS model showed a significant nonlinear relation of SIRI to clinical outcomes. Subgroup analyses further demonstrated the consistency of these associations across various subgroups.
SIRI is a significant risk factor for OAB, and higher SIRI levels are strongly related to heightened OAB symptom severity.
膀胱过度活动症（OAB）是一种复杂的疾病，其与炎症的病理生理关系尚不清楚。本研究采用全身炎症反应指数（SIRI）作为全身炎症状态的定量指标，并探讨其与OAB风险及严重程度（通过膀胱过度活动症症状评分（OABSS）评估）之间 的关联。
提取2005 - 2020年美国国家健康与营养检查调查（NHANES）的人群数据。采用加权逻辑回归和加权线性回归模型来检验SIRI与OAB风险及OABSS的关系。通过受限立方样条（RCS）模型检验SIRI与临床结局之间可能的非线性关系。此外，亚组分析和交互检验有助于探讨这些关联在亚人群中的一致性。
纳入23,915例个体进行分析。9011例（21%）被诊断为OAB。加权线性回归和逻辑回归分析均表明SIRI与OAB风险及症状严重程度存在显著关联（完全调整模型：β = 0.143，95%可信区间0.086 - 0.200，P < 0.001；OR = 1.268，95%可信区间1.122 - 1.413，P < 0.001）。RCS模型显示SIRI与临床结局存在显著的非线性关系。亚组分析进一步证明了这些关联在各个亚组中的一致性。
SIRI是OAB的一个重要风险因素，较高的SIRI水平与OAB症状严重程度的增加密切相关。
