{"title":"Association Between Different Insulin Resistance Indices and Heart Failure in US Adults With Diabetes Mellitus","authors":"Lirong Chen, Lin Qian, Yongming Liu","doi":"10.1111/anec.70035","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Purpose</h3>\n \n <p>This study aims to scrutinize the association between various Insulin Resistance (IR) indices and heart failure (HF) risk in adult diabetics within the United States.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>The National Health and Nutrition Examination Survey (NHANES) (2005–2018) dataset was used in this study. Weighted logistic regression analysis and restricted cubic spline were employed to ascertain the correlation between IR indices and the incidence of HF in diabetic patients. The predictive capability of the IR indices was evaluated using the Receiver Operating Characteristic curve.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>This study included a total of 2574 diabetic patients, out of which 209 (8.1%) were diagnosed with HF. After the adjustment of potential confounders, TyG-BMI (OR: 1.005, 95% CI: 1.002–1.009), TG/HDL-C (OR: 1.138, 95% CI: 1.024–1.265), and METS-IR index (OR: 1.035, 95% CI: 1.015–1.057) were significantly associated with HF risk. RCS curves revealed nonlinear dose–response relationship between TyG, TyG-BMI, TG/HDL-C, and the occurrence of HF in diabetic patients. Subgroup analyses showed that four IR indices were positively associated with the risk of HF in the elderly diabetic population. Unfortunately, all IR indices failed to improve the predictive performance of the underlying risk model for HF in diabetic patients.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Four IR markers may be important predictors of HF risk in diabetics.</p>\n </section>\n </div>","PeriodicalId":8074,"journal":{"name":"Annals of Noninvasive Electrocardiology","volume":"29 6","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/anec.70035","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Noninvasive Electrocardiology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/anec.70035","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This study aims to scrutinize the association between various Insulin Resistance (IR) indices and heart failure (HF) risk in adult diabetics within the United States.
Methods
The National Health and Nutrition Examination Survey (NHANES) (2005–2018) dataset was used in this study. Weighted logistic regression analysis and restricted cubic spline were employed to ascertain the correlation between IR indices and the incidence of HF in diabetic patients. The predictive capability of the IR indices was evaluated using the Receiver Operating Characteristic curve.
Results
This study included a total of 2574 diabetic patients, out of which 209 (8.1%) were diagnosed with HF. After the adjustment of potential confounders, TyG-BMI (OR: 1.005, 95% CI: 1.002–1.009), TG/HDL-C (OR: 1.138, 95% CI: 1.024–1.265), and METS-IR index (OR: 1.035, 95% CI: 1.015–1.057) were significantly associated with HF risk. RCS curves revealed nonlinear dose–response relationship between TyG, TyG-BMI, TG/HDL-C, and the occurrence of HF in diabetic patients. Subgroup analyses showed that four IR indices were positively associated with the risk of HF in the elderly diabetic population. Unfortunately, all IR indices failed to improve the predictive performance of the underlying risk model for HF in diabetic patients.
Conclusion
Four IR markers may be important predictors of HF risk in diabetics.
期刊介绍:
The ANNALS OF NONINVASIVE ELECTROCARDIOLOGY (A.N.E) is an online only journal that incorporates ongoing advances in the clinical application and technology of traditional and new ECG-based techniques in the diagnosis and treatment of cardiac patients.
ANE is the first journal in an evolving subspecialty that incorporates ongoing advances in the clinical application and technology of traditional and new ECG-based techniques in the diagnosis and treatment of cardiac patients. The publication includes topics related to 12-lead, exercise and high-resolution electrocardiography, arrhythmias, ischemia, repolarization phenomena, heart rate variability, circadian rhythms, bioengineering technology, signal-averaged ECGs, T-wave alternans and automatic external defibrillation.
ANE publishes peer-reviewed articles of interest to clinicians and researchers in the field of noninvasive electrocardiology. Original research, clinical studies, state-of-the-art reviews, case reports, technical notes, and letters to the editors will be published to meet future demands in this field.