Observational studyCardiovascular diabetology2025
The triglyceride-glucose index, a marker of insulin resistance, as a predictor of thrombotic risk in atrial fibrillation.
Observational study in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The correlation between triglyceride glucose index and atrial fibrillation risk: a meta-analysis.European journal of medical research · 2025Pooled it
- Triglyceride-Glucose Index and Ischemic Stroke Burden in Permanent Versus Paroxysmal Atrial Fibrillation: A Real-World Retrospective Cohort Study.Metabolites · 2026Article
- Association of Triglyceride-Glucose Index with Angiographic Thrombus Burden in Patients with ST-Elevation Myocardial Infarction: A Prospective Observational Study.Journal of clinical medicine · 2026Article
- Integrating left atrial appendage morphology and lipoprotein(a) improves thrombus risk stratification in atrial fibrillation: a retrospective cohort study.International journal of cardiology. Heart & vasculature · 2026Article
- Incremental value of insulin resistance surrogate indices beyond the CHAFrontiers in endocrinology · 2026Article
- Association between C-reactive protein to triglyceride-glucose index and atrial fibrillation: a cross-sectional analysis.Frontiers in endocrinology · 2026Article
- Beyond the triglyceride-glucose index, the cholesterol- high-density lipoprotein -glucose index as a superior predictor for diabetes risk in patients with major adverse cardiovascular events: dual evidence from the CHARLS database and real-world data.Frontiers in endocrinology · 2026Article
- Single-point insulin sensitivity estimator and atrial fibrillation: association and incremental discriminative value in a hospital-based population.Frontiers in endocrinology · 2026Article
- Insulin resistance and atrial fibrillation: from disease onset to post-ablation outcomes: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundAtrial fibrillation (AF) increases the risk of stroke making accurate risk stratification central for effective management. The triglyceride-glucose (TyG) index, a marker of insulin resistance, has been associated to cardiovascular diseases. Indeed, it is particularly relevant in the context of diabetes and metabolic syndrome, which are major contributors to cardiovascular risk. Herein, we explored whether the TyG index could predict thrombotic events in AF patients.
methodsProspective cohort study involving AF outpatients starting oral anticoagulation (OAC) therapy between January 2016 and November 2021. The primary endpoint was a composite of thrombotic events including myocardial infarction, venous thromboembolism, ischemic stroke, or transient ischemic attack, over 2 years follow-up. The TyG index was calculated at baseline and patients were stratified into tertiles (T1: TyG index < 4.59; T2: TyG index 4.59–4.83; T3: TyG index > 4.83).
results2907 patients (52.5% women; median age 77 years, IQR 69–82 years) were included, with a median TyG index of 4.71 (4.53–4.91). At 2-years, 7.2% (208) of patients experienced a composite thrombotic event. Patients in T3 had a significantly higher incidence rate ratio (1.39 [95% CI 1.01–1.96], p = 0.047 vs. T1; 1.42 [95% CI 1.01–2.00], p = 0.038 vs. T2). Adjusted Cox regression identified the TyG index as an independent predictor for thrombotic events (aHR 1.82; 95% CI 1.15–2.89). T3 patients exhibited a 64% higher risk of thrombotic events (aHR 1.64, 95% CI 1.17–2.29; log-rank test p value = 0.014).
conclusionsIn this real-world cohort of AF patients on OAC, an elevated TyG index independently predicted thrombotic events. However, further research is needed to determine how to integrate this simple marker into existing risk stratification strategies and whether it truly improves risk assessment and treatment decisions.
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