Association between systemic inflammation response index ( SIRI ) and overactive bladder in pregnant women: A cross‐sectional study based on the NHANES database

医学 膀胱过度活动 逻辑回归 置信区间 全国健康与营养检查调查 内科学 子群分析 妇科 线性回归 人口 回归分析 统计显著性 优势比 荟萃分析 全身炎症
作者
Jia Huang,Lu Zhao,Hanchi Zhang,Huijuan Wu,Liqun Wang,Jia Huang,Lu Zhao,Hanchi Zhang,Huijuan Wu,Liqun Wang
出处
期刊:International journal of gynaecology and obstetrics [Elsevier BV]
标识
DOI:10.1002/ijgo.70686
摘要

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.
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