{"title":"The Association Between Epicardial Adipose Tissue Thickness and the Triglyceride-glucose Index in Prediabetic Obese Patients.","authors":"Hüseyin Karaaslan, Hasan İnan, Ali Nizami Elmas","doi":"10.1177/00033197251320147","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"33197251320147"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Angiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/00033197251320147","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
引用次数: 0
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 (r = .529), BMI (r = .514), ALT (r = .358), TyG index (r = .338), and HOMA-IR (r = .322; P < .001 for all). Multiple regression analysis showed that WC (Beta = .428; P = .004), age (Beta = .223; P < .001), BMI (Beta = .196; P = .029), ALT (Beta = .168; P = .012), and TyG index (Beta = .128; P = .049) were the strongest independent variables correlated with EAT thickness. A model based on WC, BMI, age, TyG index, and ALT provided the best R-square (.387) for estimating EAT thickness (P < .001). The TyG index showed a significant and independent relationship with EAT, suggesting that it may be useful as an indicator of EAT thickness.
期刊介绍:
A presentation of original, peer-reviewed original articles, review and case reports relative to all phases of all vascular diseases, Angiology (ANG) offers more than a typical cardiology journal. With approximately 1000 pages per year covering diagnostic methods, therapeutic approaches, and clinical and laboratory research, ANG is among the most informative publications in the field of peripheral vascular and cardiovascular diseases. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 13 days