{"title":"Nonlinear association between neutrophil-to-lymphocyte ratio and asthma in children and adolescents in the USA: a cross-sectional study.","authors":"Chuhan Cheng, Liyan Zhang","doi":"10.3345/cep.2024.01844","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation associated with various diseases including respiratory conditions. However, the relationship between NLR and asthma in the pediatric population remains underexplored.</p><p><strong>Purpose: </strong>This study aimed to explore the association between NLR and asthma in children and adolescents and assess its potential role as a predictive biomarker for pediatric asthma.</p><p><strong>Methods: </strong>We retrospectively analyzed the medical records of 12,974 children and adolescents from the National Health and Nutrition Examination Survey in 2011-2020. NLR was defined as the ratio of neutrophil to lymphocyte counts. Asthma was diagnosed using a structured questionnaire. Multivariate logistic regression models were used to evaluate the association between NLR and asthma. A restricted cubic spline was used to explore non-linear relationships, and a threshold analysis was conducted to identify potential cutoff values for the NLR.</p><p><strong>Results: </strong>A total of 12,974 children and adolescents were included (male: 6,686 [51.5%]; mean age: 10 years [IQR, 5.0-14.0]). After the adjustment for confounders, participants with the highest versus lowest NLR exhibited a significantly elevated risk of asthma (odds ratio [OR]=1.39; 95% confidence interval [CI], 1.13-1.71). Additionally, a multivariate restricted cubic spline analysis revealed a non-linear relationship between NLR and asthma (p=0.023). A threshold analysis revealed that an NLR<2.23 was significantly associated with an increased risk of asthma (OR=1.23; 95% CI, 1.05-1.45), while an NLR≥2.23 showed no significant association. A subgroup analysis revealed no interactive role of NLR and asthma.</p><p><strong>Conclusion: </strong>Our findings indicate a non-linear saturation-effect relationship between NLR and asthma in children and adolescents.</p>","PeriodicalId":36018,"journal":{"name":"Clinical and Experimental Pediatrics","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Experimental Pediatrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3345/cep.2024.01844","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PEDIATRICS","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation associated with various diseases including respiratory conditions. However, the relationship between NLR and asthma in the pediatric population remains underexplored.
Purpose: This study aimed to explore the association between NLR and asthma in children and adolescents and assess its potential role as a predictive biomarker for pediatric asthma.
Methods: We retrospectively analyzed the medical records of 12,974 children and adolescents from the National Health and Nutrition Examination Survey in 2011-2020. NLR was defined as the ratio of neutrophil to lymphocyte counts. Asthma was diagnosed using a structured questionnaire. Multivariate logistic regression models were used to evaluate the association between NLR and asthma. A restricted cubic spline was used to explore non-linear relationships, and a threshold analysis was conducted to identify potential cutoff values for the NLR.
Results: A total of 12,974 children and adolescents were included (male: 6,686 [51.5%]; mean age: 10 years [IQR, 5.0-14.0]). After the adjustment for confounders, participants with the highest versus lowest NLR exhibited a significantly elevated risk of asthma (odds ratio [OR]=1.39; 95% confidence interval [CI], 1.13-1.71). Additionally, a multivariate restricted cubic spline analysis revealed a non-linear relationship between NLR and asthma (p=0.023). A threshold analysis revealed that an NLR<2.23 was significantly associated with an increased risk of asthma (OR=1.23; 95% CI, 1.05-1.45), while an NLR≥2.23 showed no significant association. A subgroup analysis revealed no interactive role of NLR and asthma.
Conclusion: Our findings indicate a non-linear saturation-effect relationship between NLR and asthma in children and adolescents.