ArticleLipids in health and disease2024
Relationship between triglyceride-glucose index and blood eosinophils among asthmatic individuals in the USA.
Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Association Between C-Reactive Protein-Triglyceride Glucose Index and All-Cause Mortality and Exacerbation in Adult Asthma: NHANES, 1999-2010 and 2015-2018.Allergy, asthma & immunology research · 2026Article
- Associations between C-reactive protein-triglyceride glucose index and asthma risk among Chinese adults: evidence from the CHARLS cohort and external hospital-based validation.Frontiers in immunology · 2026Article
- The predictive value of multiple urinary metals in evaluating death risk in asthmatic individuals: a prospective cohort study.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2025Article
- Association between eosinophil number and overweight status: a nonlinear, bidirectional study.Lipids in health and disease · 2025Article
- Association between platelet/high-density lipoprotein cholesterol ratio and blood eosinophil counts in American adults with asthma: a population-based study.Lipids in health and disease · 2025Article
- Association between the triglyceride glucose body mass index and asthma: evidence from NHANES 2011-2018.BMC pulmonary medicine · 2025Article
- Association of lung health and cardiovascular health (Life's Essential 8).Frontiers in medicine · 2025Article
- Association between triglyceride-glucose index and fractional exhaled nitric oxide in adults with asthma from NHANES 2007-2012.Lipids in health and disease · 2024Article
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6 authors.
Funding
Abstract
backgroundPresently, the majority of investigations primarily evaluate the correlation between triglyceride-glucose index (TyGI) with lung diseases, such as asthma. However, they did not delve into the correlation between TyGI and inflammatory responses related to the disease. Few studies have explored the association between TyGI and blood eosinophil count (BEOC). Thus, National Health and Nutrition Examination Survey (NHANES) data were used in this study to evaluate the correlation between TyGI and BEOC in individuals with asthma.
methodsThis study investigated 3902 individuals with asthma. Linear regression analysis was performed to investigate the association between TyGI and BEOC in patients with asthma. Subsequently, the GAM and threshold effect models were used to validate the presence of either a nonlinear or linear association between TyGI and BEOC. Finally, stratified analyses were conducted to ascertain the correlations between different subgroups.
resultsFour linear regression models confirmed a positive linear correlation between TyGI and BEOC in patients with asthma. In Model D, which controlled for all covariates, BEOC increased by 12.44 cells/uL for every extra unit of TyGI. The GAM and threshold effect models further verified the positive linear correlation between TyGI and BEOC. The XGBoost model indicated that the six most significant variables influencing BEOC, in order of relative importance, were age, cholesterol level, body mass index (BMI), poverty-to-income ratio (PIR), BNEUC, and TyGI.
conclusionsIn patients with asthma, the study discovered a linear positive correlation between TyGI and BEOC. This indicates a potential connection between TyGI and alterations in the immune status of individuals with asthma, which may help detect abnormalities in a timely manner and provide a reference for clinical decision-making. This study offers fresh insights for the future exploration of the management and treatment of asthma.
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