Predictive effect of the triglyceride glucose index on abnormal blood glucose metabolism events in populations with sarcopenia: a cross-sectional study.

IF 3.3 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Yingying Zhu, Jiabei He, Xin Li, Yunping Xu, Jingshuang He, Liang Li
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引用次数: 0

Abstract

Background: Recent studies reveal that obesity and reduced muscle mass are key factors implicated in insulin resistance (IR) and abnormal glycemic metabolism. Nonetheless, it remains ambiguous which demographic, particularly those with obesity or diminished muscle mass, exhibits a greater vulnerability to insulin resistance.

Objective: The aim of this study is to investigate the relationship between insulin resistance assessed by the triglyceride and glucose index (TyG index) and abnormal blood glucose metabolism in individuals with both reduced muscle mass and obesity. Furthermore, we assess the efficacy of the TyG index in forecasting occurrences of atypical blood glucose metabolism within this particular demographic.

Methods: This cross-sectional study utilized data collected from adults who underwent a health assessment at our institution between December 2022 and September 2024. The evaluation of insulin sensitivity was conducted utilizing the TyG index, whereas muscle mass was quantified through bioelectrical impedance analysis (BIA). Logistic regression, Receiver Operating Characteristic (ROC) curve analysis, subgroup analysis, and interaction effect analysis were employed to evaluate the association between triglyceride-glucose index levels with subgroups based on different body masses.

Results: This study comprised 1278 people with diminished muscle mass. We found a positive association between TyG index (OR = 7.73; 95% CI: 4.62-13.51; P < 0.001) and the risk of abnormal glucose metabolism among those who were overweight/obese. The analysis of the ROC curve revealed that the TyG index possesses a significant predictive capability for identifying abnormal glucose metabolism in individuals exhibiting diminished muscle mass (AUC = 0.906). This predictive value is particularly pronounced in those who do not present with overweight or obesity (AUC = 0.915), in contrast to its effectiveness in individuals who have both reduced muscle mass and overweight or obesity. Subgroup analyses confirmed the positive association of TyG index with abnormal blood glucose incidence.

Conclusion: This study assessed the link between TyG and abnormal blood glucose metabolism events risk in people with sarcopenia and compared its predictive power for abnormal blood glucose metabolism events onset in those with low muscle mass but not overweight or obese. We recommend using the TyG index as the best predictive marker for assessing abnormal blood glucose metabolism events risk in individuals without concurrent overweight or obesity, regardless of their body mass index.

甘油三酯葡萄糖指数对肌肉减少症患者异常血糖代谢事件的预测作用:一项横断面研究。
背景:近年来的研究表明,肥胖和肌肉减少是胰岛素抵抗(IR)和血糖代谢异常的关键因素。尽管如此,目前仍不清楚哪些人群,尤其是肥胖或肌肉量减少的人群,更容易受到胰岛素抵抗的影响。目的:本研究旨在探讨由甘油三酯和葡萄糖指数(TyG指数)评估的胰岛素抵抗与肌肉量减少和肥胖个体的血糖代谢异常之间的关系。此外,我们评估了TyG指数在预测非典型血糖代谢发生率方面的功效。方法:这项横断面研究利用了从2022年12月至2024年9月在我们机构接受健康评估的成年人收集的数据。胰岛素敏感性评估采用TyG指数,肌肉质量通过生物电阻抗分析(BIA)进行量化。采用Logistic回归、受试者工作特征(ROC)曲线分析、亚组分析和相互作用效应分析来评价甘油三酯-葡萄糖指数水平与不同体重亚组的相关性。结果:这项研究包括1278名肌肉量减少的人。我们发现TyG指数正相关(OR = 7.73; 95% CI: 4.62-13.51; P)结论:本研究评估了TyG与肌肉减少症患者异常血糖代谢事件风险之间的联系,并比较了其对低肌肉量但非超重或肥胖患者异常血糖代谢事件发生的预测能力。我们推荐使用TyG指数作为评估无超重或肥胖个体异常血糖代谢事件风险的最佳预测指标,无论其体重指数如何。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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