ArticleFrontiers in endocrinology2025
Association between triglyceride-glucose index and obstructive sleep apnea severity in hypertensive patients with co-existing OSA: a cross-sectional study.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association between ln(FPG/HDL-C) × BMI and self-reported obstructive sleep apnea: A cross-sectional study using NHANES data.Medicine · 2026Article
- Beyond the Apnea-Hypopnea Index: Circulating Biomarkers and Device-Based Metrics for Cardiometabolic Risk Stratification in Obstructive Sleep Apnea.Journal of clinical medicine · 2026Review
- Subtype-Specific Associations Between Hyperlipidemia and Age-Related Cataract: A Clinic-Based Cross-Sectional Study.Clinical interventions in aging · 2026Article
- Association of the TyG index and its body fat distribution composites with CHD and MACE risk in adults with OSAHS: incremental discrimination and exploratory mediation analysis.Frontiers in endocrinology · 2026Observational
- Glucose-lipid metabolic dysregulation and sleep fragmentation in obstructive sleep apnea: insights from a large-scale cross-sectional study and exploratory hypoxia-related single-nucleus transcriptomic analysis.Frontiers in nutrition · 2026Article
- Triglyceride-glucose index and nocturnal oxygenation impairment in patients with obstructive sleep apnea.Frontiers in endocrinology · 2026Article
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8 authors.
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Abstract
Study objectives: To evaluate the association between the triglyceride-glucose (TyG) index and obstructive sleep apnea (OSA) severity in hypertensive patients with comorbid OSA, particularly in non-obese subgroups. Methods: This cross-sectional study consecutively enrolled 653 hypertensive patients with snoring and excessive daytime sleepiness from the Second Hospital of Shanxi Medical University between 2022 and 2023. After confirming OSA diagnosis by polysomnography, 562 eligible participants were stratified into mild/moderate/severe OSA groups. The TyG index was calculated as ln[fasting triglycerides (mg/dL) × glucose (mg/dL)/2]. Multivariable ordinal logistic regression was performed to identify predictors of OSA severity, with subgroup analyses stratified by BMI. Linear regression was employed to examine the association between the TyG index and the apnea-hypopnea index (AHI). Results: In the fully adjusted model, the TyG index showed the strongest independent association with OSA severity progression (OR = 1.885, 95%CI:1.107-3.209), demonstrating greater explanatory value than BMI based on standardized β coefficients. This association demonstrated striking phenotypic specificity, with significant correlation restricted to non-obese individuals (adjusted OR = 2.804, 95%CI:1.547-5.083) versus obese counterparts. Stratification by TyG tertiles revealed progressive AHI escalation with increasing tertiles (β = 8.265 per tertile, Conclusions: The TyG index surpasses conventional obesity metrics in stratifying OSA severity among hypertensive patients with OSA. These findings support its utility as a pathophysiology-guided risk stratification tool for OSA-related cardiometabolic complications in hypertension management.
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