Association between systemic inflammation response index ( SIRI ) and overactive bladder in pregnant women: A cross‐sectional study based on the NHANES database
Year: 2025
Type: article
Abstract: OBJECTIVE: Due to the unique physiological changes during pregnancy, pregnant women may experience overactive bladder (OAB). The systemic inflammation response index (SIRI) is a novel marker reflecting systemic inflammation. However, the association between SIRI and OAB in pregnant populations is not elucidated. METHODS: Data from the National Health and Nutrition Examination Survey (NHANES) cycles 2005-2018 were utilized to analyze the link of SIRI to both the overactive bladder symptom score (OABSS) and OAB occurrence. Given the skewed distribution of SIRI in this study population, logarithmic transformation was applied prior to analysis. Based on the intricate sampling design, weighted linear regression and weighted logistic regression models were employed to elucidate the relationship between SIRI and OABSS and OAB. Subgroup analyses were conducted, and restricted cubic spline (RCS) models were leveraged to explore potential nonlinear associations between SIRI and the outcomes. RESULTS: A total of 402 pregnant women were included. Weighted logistic regression analysis demonstrated a significant link of elevated SIRI to increased OAB risk (odds ratio [OR], 95% confidence interval [CI]: unadjusted OR = 2.290 [1.381, 3.799]; fully adjusted OR = 2.148 [1.139, 4.049]; P < 0.05). Weighted linear regression indicated a significant positive relation of SIRI to OABSS. Subgroup analyses revealed consistent trends between SIRI and both OAB and OABSS across different strata. CONCLUSION: SIRI positively correlates with the risk of OAB in pregnant women, which could possibly help clinicians identify those at high risk for OAB early.
DOI: 10.1002/ijgo.70686
Authors: Jia Huang, Lu Zhao, Hanchi Zhang, Huijuan Wu, Liqun Wang
Language: English
Subfield: Urology
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4416673173
