ArticleFrontiers in nutrition2024
Association of triglyceride-glucose index and its combination with obesity indicators in predicting the risk of aortic aneurysm and dissection.
Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association between sedentary behavior, physical activity, and the triglyceride glucose index and its derived indices: evidence from NHANES 2013-2018.Journal of exercise science and fitness · 2025Article
- Global, regional, and national trends in the epidemiology of aortic aneurysms among women of childbearing age, 1990-2021, with predictions through 2036.BMC public health · 2025Article
- Association between triglyceride-glucose index and intracranial aneurysm rupture: findings from a retrospective study.Neurosurgical review · 2025Observational
- Triglyceride-glucose index and risk of abdominal aortic aneurysm: a large-scale prospective cohort study.Diabetology & metabolic syndrome · 2025Article
- Association between the triglyceride glucose-Chinese visceral adiposity index and new-onset stroke risk: a national cohort study.Cardiovascular diabetology · 2025Article
- Exploring the synergistic effects of Life's Essential 8, insulin resistance, and CRP on cardiometabolic multimorbidity risk.Frontiers in nutrition · 2025Article
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Abstract
Background: The association between the triglyceride-glucose (TyG) index and its combination with obesity indictors in aortic aneurysm and dissection (AAD) remains unclear. We aimed to investigate the association between TyG and TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist height ratio (TyG-WHtR) and AAD risk. Methods: This study included 387,483 baseline participants from the UK Biobank with complete data on TyG, TyG-BMI, TyG-WC and TyG-WHtR. Cox proportional hazard models evaluated the relationship between these four indicators and the risk of AAD occurrence. Restricted cubic spline (RCS) examined the non-linear relationship between these indicators and AAD risk, while receiver operating characteristic (ROC) curves assessed the predictive value of these four indicators for AAD risk. Results: Over a median follow-up of 13.7 years, 3,041 AAD events were recorded. Multivariate Cox regression analysis indicated that for each standard deviation increase, the risk of AAD occurrence increased by 33% (HR: 1.33, 95%CI: 1.29-1.38), 25% (HR: 1.25, 95%CI: 1.21-1.29), 61% (HR: 1.61, 95%CI: 1.56-1.66) and 44% (HR: 1.44, 95%CI: 1.39-1.49) for TyG, TyG-BMI, TyG-WC and TyG-WHtR, respectively. RCS demonstrated a linear relationship between these indicators and AAD risk, with TyG-WC demonstrating the best performance in predicting AAD occurrence based on ROC curves. Conclusion: The present study, based on a large prospective cohort design, showed that higher TyG index and its combination with obesity indices were significantly associated with the risk of AAD. Moreover, AFT models further showed that elevation of these indicators significantly advanced the onset of AAD. In addition, RCS analyses demonstrated a linear association between these indicators and the risk of AAD, and the TyG-WC showed higher predictive ability for AAD. These findings emphasize the potential application of the TyG index and its combination with obesity indicators in the early identification of AAD.
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