ArticleCardiovascular diabetology2024
Non-insulin-based insulin resistance indexes in predicting atrial fibrillation recurrence following ablation: a retrospective study.
Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Associations of triglyceride-glucose-related composite obesity indices with cardiovascular diseases and mortality: a systematic review and meta-analysis.Cardiovascular diabetology · 2026Pooled it
- The correlation between triglyceride glucose index and atrial fibrillation risk: a meta-analysis.European journal of medical research · 2025Pooled it
- Association between triglyceride glucose index and atrial fibrillation: A systematic review and meta-analysis.Asia Pacific journal of clinical nutrition · 2025Pooled it
- Usefulness of metabolic score for insulin resistance to predict restenosis after coronary stent implantation.Annals of medicine · 2026Article
- Association of insulin resistance indices with major adverse cardiovascular events in patients with acute myocardial infarction and chronic Kidney disease: a retrospective cohort study.Annals of medicine · 2026Article
- Conventional and Emerging Biomarkers for Predicting Post-Ablation Atrial Fibrillation Recurrence: An Updated Systematic Review.Cardiology research · 2026Review
- Machine learning-based prediction model for predicting the impact of insulin resistance on the risk of ischemic cardiomyopathy.BMC medical informatics and decision making · 2026Article
- Predictors of atrial fibrillation recurrence after catheter ablation: a systematic review.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026Review
- Cardiometabolic multimorbidity and atrial fibrillation: insights from traditional statistical and artificial intelligence approaches.BMC cardiovascular disorders · 2026Article
- The Predictive Value of TyG-BMI and TG/HDL-C for Metabolic Dysfunction-Associated Steatotic Liver Disease in Obstructive Sleep Apnea: A Single-Center Retrospective Cohort Analysis.Journal of clinical medicine · 2026Article
- Triglyceride-to-HDL Cholesterol Ratio Is Associated with Ischemic Stroke Risk in Patients-With Paroxysmal Atrial Fibrillation.Metabolites · 2026Article
- SPISE Index (Single-Point Insulin Sensitivity Estimator): A Long-Term Predictor of Recurrence in Elderly Patients with Atrial Fibrillation After Radiofrequency Ablation.Clinical interventions in aging · 2026Article
- Triglyceride-glucose index and atrial fibrillation: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Review
- Insulin resistance as a predictor of long-term adverse cardiovascular event risk in patients with atrial fibrillation following radiofrequency catheter ablation.Frontiers in endocrinology · 2026Observational
- Single-point insulin sensitivity estimator and atrial fibrillation: association and incremental discriminative value in a hospital-based population.Frontiers in endocrinology · 2026Article
- Circulating lipid profiles and atrial fibrillation: from incident risk to post-ablation recurrence.Frontiers in cardiovascular medicine · 2026Review
- Machine learning-enhanced prediction model for atrial fibrillation development in patients with concurrent type 2 diabetes and obstructive sleep apnea syndrome: a comorbidity perspective.Nutrition & metabolism · 2025Article
- Association of insulin resistance indices with outcomes after endovascular treatment in acute basilar artery occlusion.Lipids in health and disease · 2025Article
- Elevated triglyceride-glucose index and risk of thymoma-associated myasthenia gravis: a prospective analysis from the UK Biobank.Cardiovascular diabetology · 2025Article
- Non-alcoholic fatty liver disease as a predictor of atrial fibrillation recurrence following ablation: a retrospective study.Cardiovascular diagnosis and therapy · 2025Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundInsulin resistance (IR) is involved in the pathophysiological processes of arrhythmias. Increasing evidence suggests triglyceride and glucose (TyG) index, metabolic score for insulin resistance (METS-IR), triglyceride glucose-body mass index (TyG-BMI), and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio are simple and reliable surrogates for IR. Although they have been associated with atrial fibrillation (AF), evidence supporting this is limited. Here, this is the first study to investigate the association between TyG-BMI index and AF recurrence following radiofrequency catheter ablation (RFCA). The performance of the four non-insulin-based IR indexes in predicting AF recurrence after ablation was explored.
methodsA total of 2242 AF patients who underwent a de novo RFCA between June 2018 to January 2022 at two hospitals in China were included in this retrospective study. The predictive values of IR indexes for AF recurrence after ablation were assessed.
resultsDuring 1-year follow-up, 31.7% of patients experienced AF recurrence. The multivariable analysis revealed that TyG index, METS-IR, and TyG-BMI index were independent risk factors for AF recurrence. Restricted cubic spline analysis revealed a connection between METS-IR, TyG-BMI index, and AF recurrence (P < 0.001). Furthermore, incorporating the METS-IR or TyG-BMI index to the basic risk model with fully adjusted factors considerably enhanced the forecast of AF recurrence, as demonstrated by the C-statistic, continuous net reclassification improvement, and integrated discrimination improvement.
conclusionsTyG index, METS-IR, and TyG-BMI index were independently associated with AF recurrence following ablation. Among the four non-insulin-based IR indexes, TyG-BMI had the highest predictive value, followed by METS-IR.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.