Why the study?
The predictive value of the TyG-BMI index, a surrogate marker of insulin resistance, in the progression of non-severe aortic stenosis remains unclear.
Does a high TyG-BMI index predict the progression of non-severe aortic stenosis in patients?
Does a high TyG-BMI index predict the progression of non-severe aortic stenosis in patients?
A high TyG-BMI index is significantly associated with an increased risk of disease progression in patients with non-severe aortic stenosis.
High TyG-BMI index was associated with aortic stenosis progression; hypothesis-generating and should not yet change practice.
BACKGROUND: Triglyceride-glucose-BMI (TyG-BMI) index is a surrogate marker of insulin resistance and an important predictor of cardiovascular disease. However, the predictive value of TyG-BMI index in the progression of non-severe aortic stenosis (AS) is still unclear. METHODS: The present retrospective observational study was conducted using patient data from Aortic valve diseases RISk facTOr assessmenT andprognosis modeL construction (ARISTOTLE). A total of 190 patients were recruited from one-center. Patients were divided into two groups according to the cut-off value of TyG-BMI index (Ln[triglycerides (mg/dL)* glucose (mg/dL)/2]*BMI). Cox regression and restricted subgroup analysis were used to evaluate the association of TyG-BMI index and progression of non-severe AS. RESULTS: A total of 190 patients (mean age 72.52 ± 11.97 years, 51.58% male) were included in the study. During a median follow-up period of 27.48 months, 44 participants experienced disease progression. The cut-off of the TyG-BMI index is 239. After fully adjusting for confounding factors, high TyG-BMI index group was associated with a 2.219-fold higher risk of aortic stenosis progression (HR 2.219, 95%CI 1.086-4.537, p = 0.029). CONCLUSION: TyG-BMI index was significantly associated with a higher risk of progression to non-severe AS. TyG-BMI index, as an effective alternative indicator of IR, can identify people at high risk of AS progression at an early stage of the disease, thereby improving the prognosis and reducing the socio-economic burden.
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Guo et al. (2025) studied this question.
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