Hormonal
In elderly patients with type 2 diabetes, maintaining the Triglyceride-Glucose index combined with a Body Shape Index (TyG-ABSI) within an optimal range (specifically avoiding both extremely low and extremely high values) is associated with the lowest all-cause mortality risk.
If you have Type 2 Diabetes, standard weight metrics like BMI might not fully capture your mortality risk. Research suggests that a combination of insulin resistance markers (Triglyceride-Glucose index) and body shape (ABSI) provides a more accurate prediction of health outcomes. Crucially, this risk follows a 'U-shape': both extremely high and extremely low values of this combined index are associated with higher mortality. Therefore, the goal is not simply to minimize these numbers, but to maintain them within an optimal, balanced range, while closely monitoring kidney function (eGFR) as it mediates this risk.
TyG-ABSI exhibited superior prognostic accuracy for predicting all-cause mortality in elderly Chinese T2DM patients, following a U-shaped pattern. These findings underscore the importance of maintaining optimal TyG and visceral obesity levels...
Why this rating
Large prospective cohort (N=307,161), rigorous statistical adjustments, but observational design limits causal inference.
Source
Combining triglyceride‑glucose index and novel anthropometric measures to predict mortality risk in patients with T2DM: a prospective cohort study
Yining Wang et al. · BMC Endocrine Disorders · 2026
DOI 10.1186/s12902-025-02132-7
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