Key result
Highest TyG-ABSI quartile is linked to ~68% higher all-cause mortality versus the lowest quartile.
Why the study?
Does the combined TyG-ABSI index improve prediction of all-cause mortality compared to TyG alone in a general cohort?
Cohort (n=1,753)
Does the combined TyG-ABSI index improve prediction of all-cause mortality compared to TyG alone in a general cohort?
Hazard Ratio: 1.68 (95% CI 1.4–2.02)
p-value: p=<0.001
The combination of the triglyceride-glucose index and A Body Shape Index (TyG-ABSI) provides superior long-term predictive value for all-cause mortality compared to TyG alone, particularly in adults under 60 years of age.
Insulin resistance, represented by the triglyceride-glucose (TyG) index, shows interplay with visceral obesity and together promotes cardiovascular diseases and mortality. Recent NHANES data demonstrated that combining TyG with A Body Shape Index (ABSI) outperforms traditional TyG-derived indices in predicting cardiovascular mortality. However, validation in independent cohorts with extended follow-up is needed. We analyzed 1,753 participants from Visit 7 of the Rancho Bernardo Study (1988–1992). TyG was calculated as ln[(triglycerides × glucose)/2], ABSI as WC/(BMI2/3 × height1/2), and TyG-ABSI as their product. Cox proportional hazards models assessed associations with all-cause mortality. Harrell’s C-index compared predictive performance, integrated discrimination improvement (IDI), and net reclassification improvement (NRI). During median follow-up of 26.3 years (maximum 31 years), 1,166 deaths occurred (66.5% mortality rate) with zero participants lost to follow-up. The highest TyG-ABSI quartile had significantly increased mortality versus the lowest (fully-adjusted HR = 1.68, 95% CI 1.40–2.02, p < 0.001). TyG-ABSI demonstrated superior C-index (0.710) versus TyG alone (0.623, p < 0.001), with significant IDI (0.032, p < 0.001) and NRI (0.156, p < 0.001). Restricted cubic spline analysis revealed a linear dose-response relationship (p for non-linearity = 0.184). Association was particularly strong in younger adults (< 60 years: HR = 2.74, 95% CI 1.71–4.38, p < 0.001; p-interaction < 0.001). TyG-ABSI demonstrated superior predictive value for all-cause mortality compared to TyG alone and other modified TyG indices. The particularly strong association in younger adults suggests TyG-ABSI may be especially valuable for early risk stratification.
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Gerges et al. (2026) reported a cohort. Highest TyG-ABSI quartile vs. Lowest TyG-ABSI quartile was evaluated on All-cause mortality (HR 1.68, 95% CI 1.40-2.02, p=<0.001). The highest TyG-ABSI quartile was significantly associated with increased all-cause mortality compared to the lowest quartile (HR 1.68; 95% CI 1.40-2.02; p<0.001).
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