Wan Liangwei, Wang Zhipeng, Zhang Lei, Wang Chen, Luo Lianmin, Liu Xiaoqiang, Deng Jun
Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jiangxi Institute of Urology, Nanchang, China.
BMC Urol. 2025 Apr 8;25(1):78. doi: 10.1186/s12894-025-01743-5.
To investigate the relationship between Overactive Bladder (OAB) and inflammatory markers, including the Systemic Immune-Inflammation Index (SII), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), and Systemic Inflammation Response Index (SIRI).
This cross-sectional study drew upon data from the National Health and Nutrition Examination Survey (NHANES) spanning the 2009-2018 cycles, including 19,194 participants, with OAB identified using the Overactive Bladder Symptom Score (OABSS) based on survey responses. Multivariate logistic regression and restricted cubic spline (RCS) analyses were employed to evaluate the association between these markers and OAB. Subgroup analysis is used to identify potential influencing factors and ensure the robustness of the study results.
Multivariate logistic regression analysis indicated notable positive correlations between OAB and SII (Q4 OR = 1.25, 95% CI: 1.06-1.46), NLR (Q4 OR = 1.29, 95% CI: 1.12-1.49), and SIRI (Q4 OR = 1.23, 95% CI: 1.05-1.43), with no significance for PLR. Trend tests showed statistical significance for SII, NLR, and SIRI, but not for PLR. RCS analysis also showed a nonlinear relationship among SII, NLR, SIRI, and OAB. It is noteworthy that age is a key influencing factor in the subgroup analysis. These findings suggest that systemic inflammation may play a crucial role in OAB pathophysiology, and inflammatory markers like SII, NLR, and SIRI could serve as potential indicators for identifying individuals at higher risk of OAB, thereby informing early intervention strategies.
SII, NLR, and SIRI are positively associated with OAB, suggesting a potential role of inflammation in its pathogenesis. However, further validation through prospective cohort studies is needed to establish their clinical utility and causal relationship with OAB.
探讨膀胱过度活动症(OAB)与炎症标志物之间的关系,包括全身免疫炎症指数(SII)、中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)以及全身炎症反应指数(SIRI)。
这项横断面研究利用了2009 - 2018年周期的美国国家健康与营养检查调查(NHANES)的数据,包括19194名参与者,根据调查回复使用膀胱过度活动症症状评分(OABSS)来确定OAB。采用多变量逻辑回归和限制立方样条(RCS)分析来评估这些标志物与OAB之间的关联。亚组分析用于识别潜在影响因素并确保研究结果的稳健性。
多变量逻辑回归分析表明,OAB与SII(Q4 OR = 1.25,95% CI:1.06 - 1.46)、NLR(Q4 OR = 1.29,95% CI:1.12 - 1.49)和SIRI(Q4 OR = 1.23,95% CI:1.05 - 1.43)之间存在显著正相关,而PLR无显著相关性。趋势检验显示SII、NLR和SIRI具有统计学意义,而PLR无统计学意义。RCS分析还显示SII、NLR、SIRI与OAB之间存在非线性关系。值得注意的是,年龄是亚组分析中的关键影响因素。这些发现表明全身炎症可能在OAB病理生理学中起关键作用,并且SII、NLR和SIRI等炎症标志物可作为识别OAB高风险个体的潜在指标,从而为早期干预策略提供依据。
SII、NLR和SIRI与OAB呈正相关,表明炎症在其发病机制中可能起作用。然而,需要通过前瞻性队列研究进行进一步验证,以确定它们的临床效用以及与OAB的因果关系。