Work

Triglyceride-glucose index as a predictor of the risk of sarcopenia in elderly patients with OSA: a multicenter study

Year: 2025

Type: article

Abstract: BACKGROUND: Given the clear association between obstructive sleep apnea (OSA) and metabolic disorders, coupled with a limited understanding of sarcopenia in patients with OSA, this study aimed to investigate the relationship between triglyceride-glucose (TyG) index and sarcopenia and in an elderly population with OSA. METHODS: Multiple hematological and sleep-breathing status were meticulously recorded in the cohorts. The SARC-F scale ≥ 4 was considered indicative of probable sarcopenia. The correlations between clinical indicators and the SARC-F score were analyzed. The area under the curve (AUC) was utilized to assess the predictive ability of TyG for sarcopenia and sarcopenic obesity. Logistic regression analysis and sensitivity stratification were employed to explore the influence of TyG. RESULTS: , r = -0.157, P < 0.01). The AUC for assessing sarcopenia using TyG was 65.7% (95% confidence intervals (95%CI): 61.9-69.5%. Furthermore, the cutoff value for TyG was 8.855 (sensitivity = 67.4%, specificity = 62.8%). Logistic regression and stratified sensitivity analyses, adjusted for various influencing factors, collectively revealed that TyG was a risk-related predictor of probable sarcopenia (all odds ratio > 2.0, P < 0.05). CONCLUSIONS: The TyG index emerges as an independent predictor of sarcopenia in patients with OSA, shedding light on the complex interplay between nighttime hypoxia and muscle health.

Source: Diabetology & Metabolic Syndrome

DOI: 10.1186/s13098-025-01758-w