{"title":"Platelet-to-high-density lipoprotein ratio as a biomarker for asthma risk in adolescents: insights from NHANES 2011-2023.","authors":"Fangju Liao, Qi Lv, Yana Xu, Jieyu Zan, Yu Xie","doi":"10.3389/falgy.2025.1593351","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Asthma is a common inflammatory disease among adolescents, with systemic inflammation playing a key role in its development. The platelet-to-high-density lipoprotein ratio (PHR) has emerged as a novel indicator of systemic inflammation. However, while individual roles of platelet count and HDL cholesterol in asthma have been studied, the combined impact of PHR on asthma risk-particularly in adolescent populations-remains unclear and underexplored.</p><p><strong>Objective: </strong>This study aimed to evaluate the association between PHR and asthma risk in adolescents using data from the National Health and Nutrition Examination Survey (NHANES) 2011-2023.</p><p><strong>Methods: </strong>A cross-sectional analysis was conducted on 10,046 adolescents aged 8-18 years from NHANES. Asthma status was self-reported, and PHR was calculated as the ratio of platelet count (1,033 /μl) to HDL cholesterol (mg/dl). Logistic regression models were used to assess the association between PHR quartiles and asthma, adjusting for age, sex, race/ethnicity, body mass index (BMI), and poverty-to-income ratio (PIR). Restricted cubic spline (RCS) analysis was applied to examine non-linear relationships, with sensitivity and subgroup analyses conducted to ensure robustness.</p><p><strong>Results: </strong>Adolescents with asthma had higher PHR levels compared to non-asthmatic peers (<i>p</i> < 0.001). In fully adjusted models, participants in the highest PHR quartile had significantly higher odds of asthma (OR = 1.59, 95% CI: 1.37-1.83, <i>p</i> < 0.001) compared to the lowest quartile. RCS analysis revealed a non-linear relationship, with asthma risk escalating sharply at higher PHR levels. Subgroup analyses confirmed consistent associations across race/ethnicity, BMI, and PIR categories. Sensitivity analyses excluding participants under 12 years of age yielded similar results.</p><p><strong>Conclusion: </strong>PHR is significantly associated with asthma risk in adolescents, highlighting its potential as a cost-effective and accessible biomarker for identifying high-risk individuals. These findings underscore the need for further longitudinal and interventional studies to validate PHR's role in asthma prediction and management.</p>","PeriodicalId":73062,"journal":{"name":"Frontiers in allergy","volume":"6 ","pages":"1593351"},"PeriodicalIF":3.1000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12179139/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in allergy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/falgy.2025.1593351","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ALLERGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Asthma is a common inflammatory disease among adolescents, with systemic inflammation playing a key role in its development. The platelet-to-high-density lipoprotein ratio (PHR) has emerged as a novel indicator of systemic inflammation. However, while individual roles of platelet count and HDL cholesterol in asthma have been studied, the combined impact of PHR on asthma risk-particularly in adolescent populations-remains unclear and underexplored.
Objective: This study aimed to evaluate the association between PHR and asthma risk in adolescents using data from the National Health and Nutrition Examination Survey (NHANES) 2011-2023.
Methods: A cross-sectional analysis was conducted on 10,046 adolescents aged 8-18 years from NHANES. Asthma status was self-reported, and PHR was calculated as the ratio of platelet count (1,033 /μl) to HDL cholesterol (mg/dl). Logistic regression models were used to assess the association between PHR quartiles and asthma, adjusting for age, sex, race/ethnicity, body mass index (BMI), and poverty-to-income ratio (PIR). Restricted cubic spline (RCS) analysis was applied to examine non-linear relationships, with sensitivity and subgroup analyses conducted to ensure robustness.
Results: Adolescents with asthma had higher PHR levels compared to non-asthmatic peers (p < 0.001). In fully adjusted models, participants in the highest PHR quartile had significantly higher odds of asthma (OR = 1.59, 95% CI: 1.37-1.83, p < 0.001) compared to the lowest quartile. RCS analysis revealed a non-linear relationship, with asthma risk escalating sharply at higher PHR levels. Subgroup analyses confirmed consistent associations across race/ethnicity, BMI, and PIR categories. Sensitivity analyses excluding participants under 12 years of age yielded similar results.
Conclusion: PHR is significantly associated with asthma risk in adolescents, highlighting its potential as a cost-effective and accessible biomarker for identifying high-risk individuals. These findings underscore the need for further longitudinal and interventional studies to validate PHR's role in asthma prediction and management.