Comparative predictive value of three non-insulin-based insulin resistance indices for subclinical left ventricular dysfunction in type 2 diabetes mellitus

三种非胰岛素类胰岛素抵抗指标对2型糖尿病患者亚临床左心室功能障碍的预测价值比较

阅读:2

Abstract

BACKGROUND: Current research indicates that novel non-insulin-based insulin resistance indicators—including the triglyceride-glucose (TyG) index, triglyceride/high-density lipoprotein cholesterol ratio (TG/HDL-C), and Metabolic Score for Insulin Resistance (METS-IR)—are closely associated with cardiovascular disease risk in patients with type 2 diabetes mellitus (T2DM). Notably, the TyG index demonstrates significant correlation with subclinical left ventricular dysfunction (SLVD), making it a potential biomarker for early detection of SLVD in T2DM patients. However, the predictive value of TG/HDL-C and METS-IR in this context remains unclear, and no comparative analysis of their predictive efficacy has been conducted. The objective of this study is to evaluate and compare the predictive value of these three indices for SLVD in T2DM patients. METHODS: A total of 221 hospitalized patients with T2DM from the Department of Endocrinology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), between June 2024 and February 2025, were included. Participants were categorized into SLVD (left ventricular global longitudinal strain, GLS < 18%) and non-SLVD (GLS ≥ 18%) groups based on speckle-tracking echocardiography. Univariate logistic regression was used to identify factors associated with SLVD. Multivariate logistic regression, adjusted for confounders, assessed the relationship of TyG index, TG/HDL-C, and METS-IR with SLVD. Receiver operating characteristic (ROC) curves were plotted to compare their predictive performance. RESULTS: Univariate analysis revealed that smoking, hypertension, BMI, creatinine, triglycerides, HbA1c, fasting blood glucose, TyG index, TG/HDL-C, and METS-IR were positively associated with SLVD, while gender and HDL-C were negatively correlated (all P < 0.05). In multivariate analysis, TyG index, TG/HDL-C, and METS-IR remained significantly and positively associated with SLVD (all P < 0.001). ROC analysis showed AUCs of 0.785, 0.798, and 0.819 for TyG index, TG/HDL-C, and METS-IR, respectively, with no significant differences in predictive value according to Delong’s test (P > 0.05). CONCLUSION: TyG index, TG/HDL-C, and METS-IR are significantly associated with SLVD in T2DM patients and demonstrate good predictive performance. These indices are valuable for clinical application, especially in primary care settings, though no significant difference in predictive efficacy was observed among them. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12872-026-05683-2.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。