Zhao Libo, Shen Xueqin, Gao Yinghui, Cai Weimeng, Rui Dong, Xue Xin, Zhao Zhe, Qian Xiaoshun, Lin Junling, Fan Li, Liu Lin
Cardiology Department of the Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Health Management Institute, Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Diabetol Metab Syndr. 2025 Jun 7;17(1):196. doi: 10.1186/s13098-025-01758-w.
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.
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.
A total of 1,148 individuals were included, among whom the median age was 66 (62, 71). 46.3% (n = 531) were diagnosed with severe OSA, while 24.0% (n = 276) had probable sarcopenia. The SARC-F score exhibited positive correlations with TyG (r = 0.122, P < 0.01), but it was negatively correlated with mean peripheral oxygen saturation (mean SpO, 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).
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.
鉴于阻塞性睡眠呼吸暂停（OSA）与代谢紊乱之间存在明确关联，且对OSA患者的肌肉减少症了解有限，本研究旨在探讨甘油三酯-葡萄糖（TyG）指数与肌肉减少症在老年OSA人群中的关系。
在队列中仔细记录多项血液学和睡眠呼吸状况。SARC-F量表≥4被认为提示可能存在肌肉减少症。分析临床指标与SARC-F评分之间的相关性。利用曲线下面积（AUC）评估TyG对肌肉减少症和肌肉减少性肥胖的预测能力。采用逻辑回归分析和敏感性分层来探讨TyG的影响。
共纳入1148例个体，其中位年龄为66岁（62，71）。46.3%（n = 531）被诊断为重度OSA，24.0%（n = 276）可能存在肌肉减少症。SARC-F评分与TyG呈正相关（r = 0.122，P < 0.01），但与平均外周血氧饱和度呈负相关（平均SpO，r = -0.157，P < 0.01）。使用TyG评估肌肉减少症的AUC为65.7%（95%置信区间（95%CI）：61.9 - 69.5%）。此外，TyG的截断值为8.855（敏感性 = 67.4%，特异性 = 62.8%）。经多种影响因素校正后的逻辑回归和分层敏感性分析共同显示，TyG是可能存在肌肉减少症的风险相关预测因子（所有比值比>2.0，P < 0.05）。
TyG指数成为OSA患者肌肉减少症的独立预测因子，揭示了夜间缺氧与肌肉健康之间的复杂相互作用。
