Neutrophil percentage-to-albumin ratio (NPAR) as a biomarker for asthma: A cross-sectional analysis of NHANES data DOI

Linda Bi,

Jun Liang, Kai Hu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Abstract Objective This study aimed to evaluate the neutrophil percentage-to-albumin ratio (NPAR) as a novel biomarker for asthma risk and explore its association with incidence in nationally representative adult population. Methods Using cross-sectional data from 17,800 adults National Health Nutrition Examination Survey (NHANES 2009–2018), we calculated NPAR of percentage serum albumin concentration. Multivariable logistic regression models adjusted demographic, socioeconomic, clinical, laboratory covariates were employed assess NPAR-asthma associations. Missing addressed via multiple imputations, model performance was evaluated using receiver operating characteristic (ROC) curves bootstrap validation. Restricted cubic splines analyzed non-linear relationships, while subgroup analyses tested effect heterogeneity across demographic clinical strata. Sensitivity compared complete-case imputed datasets. Results Elevated levels strongly associated increased risk. In fully models, each one-unit increase corresponded 2.6% rise prevalence (adjusted OR = 1.026, 95% CI: 1.008–1.045, P 0.0046). ROC curve analysis demonstrated an AUC 0.699 predicting asthma. Subgroup revealed modification by sex, race, cardiovascular disease history, though interaction terms did not meet Bonferroni-adjusted significance thresholds. spline indicated U-shaped dose-response relationship, minimal observed at values 12–15, suggesting dual pathological mechanisms: oxidative stress susceptibility lower neutrophilic inflammation dominance higher values. Conclusion provides first epidemiological evidence supporting independent The highlights complex interplay between systemic pathogenesis. While offers cost-effective accessible tool stratification, moderate predictive underscores need complementary biomarkers enhance utility. Future research should integrate serial measurements multi-omics profiling validate role management.

Language: Английский

Neutrophil percentage-to-albumin ratio (NPAR) as a biomarker for asthma: A cross-sectional analysis of NHANES data DOI

Linda Bi,

Jun Liang, Kai Hu

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Abstract Objective This study aimed to evaluate the neutrophil percentage-to-albumin ratio (NPAR) as a novel biomarker for asthma risk and explore its association with incidence in nationally representative adult population. Methods Using cross-sectional data from 17,800 adults National Health Nutrition Examination Survey (NHANES 2009–2018), we calculated NPAR of percentage serum albumin concentration. Multivariable logistic regression models adjusted demographic, socioeconomic, clinical, laboratory covariates were employed assess NPAR-asthma associations. Missing addressed via multiple imputations, model performance was evaluated using receiver operating characteristic (ROC) curves bootstrap validation. Restricted cubic splines analyzed non-linear relationships, while subgroup analyses tested effect heterogeneity across demographic clinical strata. Sensitivity compared complete-case imputed datasets. Results Elevated levels strongly associated increased risk. In fully models, each one-unit increase corresponded 2.6% rise prevalence (adjusted OR = 1.026, 95% CI: 1.008–1.045, P 0.0046). ROC curve analysis demonstrated an AUC 0.699 predicting asthma. Subgroup revealed modification by sex, race, cardiovascular disease history, though interaction terms did not meet Bonferroni-adjusted significance thresholds. spline indicated U-shaped dose-response relationship, minimal observed at values 12–15, suggesting dual pathological mechanisms: oxidative stress susceptibility lower neutrophilic inflammation dominance higher values. Conclusion provides first epidemiological evidence supporting independent The highlights complex interplay between systemic pathogenesis. While offers cost-effective accessible tool stratification, moderate predictive underscores need complementary biomarkers enhance utility. Future research should integrate serial measurements multi-omics profiling validate role management.

Language: Английский

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