The Association Between Epicardial Adipose Tissue Thickness and the Triglyceride-glucose Index in Prediabetic Obese Patients

Obesity and pre-diabetes are metabolic disorders associated with insulin resistance (IR). Excess epicardial adipose tissue is also associated with increased IR. The triglyceride-glucose index (TyG) has been evaluated as an alternative measure of the IR in a variety of metabolic and cardiovascular disorders. However, its relationship with EAT thickness has not been studied yet. The study included 176 prediabetic and obese patients. EAT thickness was assessed using echocardiography. EAT thickness, TyG index, anthropometric obesity indices (body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR)), homeostatic model assessment (HOMA-IR), and biochemical parameters were compared. The following correlations between EAT thickness and related parameters were observed: WC (<i>r</i> = .529), BMI (<i>r</i> = .514), ALT (<i>r</i> = .358), TyG index (<i>r</i> = .338), and HOMA-IR (<i>r</i> = .322; <i>P</i> < .001 for all). Multiple regression analysis showed that WC (Beta = .428; <i>P</i> = .004), age (Beta = .223; <i>P</i> < .001), BMI (Beta = .196; <i>P</i> = .029), ALT (Beta = .168; <i>P</i> = .012), and TyG index (Beta = .128; <i>P</i> = .049) were the strongest independent variables correlated with EAT thickness. A model based on WC, BMI, age, TyG index, and ALT provided the best <i>R</i>-square (.387) for estimating EAT thickness (<i>P</i> < .001). The TyG index showed a significant and independent relationship with EAT, suggesting that it may be useful as an indicator of EAT thickness.

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Journal
Angiology
Published
2025-02-21
DOI
https://doi.org/10.1177/00033197251320147
Citations
3
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
4.16
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article

The Association Between Epicardial Adipose Tissue Thickness and the Triglyceride-glucose Index in Prediabetic Obese Patients

Ali Nizami Elmas, Hüseyin Karaaslan, Hasan İnan
3 citations
Angiology
Cardiovascular Disease and Adiposity
4.16
article

The Association Between Epicardial Adipose Tissue Thickness and the Triglyceride-glucose Index in Prediabetic Obese Patients

Ali Nizami Elmas, Hüseyin Karaaslan, Hasan İnan
article en
3 citations

Abstract

Obesity and pre-diabetes are metabolic disorders associated with insulin resistance (IR). Excess epicardial adipose tissue is also associated with increased IR. The triglyceride-glucose index (TyG) has been evaluated as an alternative measure of the IR in a variety of metabolic and cardiovascular disorders. However, its relationship with EAT thickness has not been studied yet. The study included 176 prediabetic and obese patients. EAT thickness was assessed using echocardiography. EAT thickness, TyG index, anthropometric obesity indices (body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR)), homeostatic model assessment (HOMA-IR), and biochemical parameters were compared. The following correlations between EAT thickness and related parameters were observed: WC (<i>r</i> = .529), BMI (<i>r</i> = .514), ALT (<i>r</i> = .358), TyG index (<i>r</i> = .338), and HOMA-IR (<i>r</i> = .322; <i>P</i> < .001 for all). Multiple regression analysis showed that WC (Beta = .428; <i>P</i> = .004), age (Beta = .223; <i>P</i> < .001), BMI (Beta = .196; <i>P</i> = .029), ALT (Beta = .168; <i>P</i> = .012), and TyG index (Beta = .128; <i>P</i> = .049) were the strongest independent variables correlated with EAT thickness. A model based on WC, BMI, age, TyG index, and ALT provided the best <i>R</i>-square (.387) for estimating EAT thickness (<i>P</i> < .001). The TyG index showed a significant and independent relationship with EAT, suggesting that it may be useful as an indicator of EAT thickness.

AngiologyVol. 77(4)
Harran University (TR)
Good health and well-being
Openalex Percentile: Top 7%
Cardiovascular Disease and Adiposity
4.16
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The Association Between Epicardial Adipose Tissue Thickness and the Triglyceride-glucose Index in Prediabetic Obese Patients — Ali Nizami Elmas, Hüseyin Karaaslan, et al. · Angiology (2025) | TGRS Research Map | TGRS