ArticleFrontiers in cardiovascular medicine2025
Association between triglyceride-glucose index and all-cause mortality in patients with congestive heart failure and atrial fibrillation.
Article in Frontiers in cardiovascular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Prognostic value of the triglyceride-glucose index combined with atherogenic index of plasma for all-cause mortality in critically ill patients with chronic heart failure: a machine learning-driven retrospective cohort study.Lipids in health and disease · 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
- Elevated triglyceride-glucose index and acute kidney injury risk in critical atrial fibrillation: an analysis from MIMIC-IV.BMC cardiovascular disorders · 2025Article
- The Triglyceride-Glucose Index: A Clinical Tool to Quantify Insulin Resistance as a Metabolic Myocardial Remodeling Bridge in Atrial Fibrillation.Biomedicines · 2025Review
- Insulin resistance and atrial fibrillation: from disease onset to post-ablation outcomes: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2025Review
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Authors and funding
5 authors.
Funding
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Abstract
Background: The role of the triglyceride-glucose (TyG) index in critically ill patients with congestive heart failure (CHF) and atrial fibrillation (AF), requiring intensive care unit (ICU) admission, remains unclear. This study aimed to investigate the association between the TyG index and the clinical prognosis of critically ill patients with CHF and AF. Methods: This retrospective observational cohort study utilized data from the Medical Information Mart for Intensive Care-IV (MIMIC IV2.2) database. Participants were categorized into four groups based on TyG index level. The primary outcome was hospital all-cause mortality. Multivariable logistic proportional regression analysis and restricted cubic spline regression were employed to assess the TyG index's association with hospital mortality in patients with CHF and AF. Sensitivity analysis included determining the TyG index's feature importance through subgroup analysis in different subgroups. Results: A total of 787 patients were included in the study, with hospital and ICU mortalities of 14.2% and 8.3%, respectively. Multivariate logistic regression analysis demonstrated that the TyG index was independently associated with an increased risk of hospital mortality (odds ratio (OR), 1.59 [95% confidence interval (CI) 1.15-2.19], Conclusions: The results of our study suggest a significant association between the TyG index and hospital and ICU all-cause mortality in critically ill patients with CHF and AF. This finding implies that the TyG index could potentially serve as a valuable tool for identifying patients with CHF and AF at an elevated risk of all-cause mortality.
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