ArticleJournal of health, population, and nutrition2025
Predictive role of neutrophil-percentage-albumin ratio (NPAR) in overactive bladder (OAB) in adults in the United States: a cross-sectional study.
Article in Journal of health, population, and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- METS-VF outperforms traditional adiposity indices in predicting overactive bladder risk: a NHANES-based cross-sectional study.Translational andrology and urology · 2026Article
- Neutrophil Percentage-to-Albumin Ratio as a Predictor of Urinary Tract Infection in Patients with Urinary Stone Disease: Development a Novel User-Friendly Tool.Journal of inflammation research · 2026Article
- U-shaped association between ultra-processed food intake and overactive bladder in US adults: a national cross-sectional study.Frontiers in nutrition · 2025Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is mounting evidence suggesting a direct connection between inflammatory responses and the pathophysiology of overactive bladder (OAB). However, conventional inflammatory markers do not directly indicate a correlation with OAB. Therefore, our goal was to investigate the relationship between OAB and a novel inflammatory marker, the neutrophil percentage-to-plasma-albumin ratio (NPAR).
methodsThis study included 28,906 participants from the 2005-2018 National Health and Nutrition Examination Survey (NHANES). Weighted multivariate regression models and multiple regression equations were applied to evaluate the correlation between NPAR and OAB. Additionally, to evaluate the possibility of a linear relationship between NPAR and OAB, smoothed curve fitting was used. Sensitivity and stratified analyses were conducted to assess the robustness of the results.
resultsThe final sample size consisted of 28,906 individuals, with an overall OAB prevalence of 24.6%. Using a weighted multivariate logistic model and adjusting for multiple covariates, we identified a strong association between NPAR and OAB (OR 1.074, 95% CI 1.06-1.08). Individuals in the highest NPAR quartile had a 32% greater prevalence of OAB compared to those in the lowest quartile. Smoothed curve fitting showed a nonlinear connection between NPAR and OAB, and the effect sizes remained consistent across specific subgroups (P for interaction < 0.05).
conclusionThe incidence of OAB was shown to positively correlate with higher NPAR levels in this investigation. NPAR might be a useful and affordable biomarker for determining who is at risk for OAB, facilitating timely intervention.
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