Predictive significance of triglyceride-glucose index in forecasting adverse cardiovascular events among Type 2 diabetes mellitus patients with co-existing metabolic dysfunction-associated steatotic liver disease (MASLD): evidence from two cohort studies
Authors' conclusion
This study established a strong association between TyG and both ACM and MACEs in patients with T2DM and MASLD in the Wenzhou cohort, with TyG-ACM association independently validated in the NHANES cohort.
Study context
- Population
- Patients with both T2D and MASLD, Wenzhou Hospital, 2019–2022; supportive NHANES 1999–2018 cohortWenzhou cohort · supportive NHANES 1999-2018 cohort 1,343
- Participants
- 1,021 patients
- Exposure
- Higher vs lower triglyceride-glucose (TyG) index
- Outcome
- MACE and all-cause mortality
- Follow-up
- Median 53.4 months
Methodological detailsparallel supportive analysis in NHANES 1999-2018 cohort
- Parallel supportive analysis in NHANES 1999-2018 cohort
Main finding
As reported in the abstract
All-cause mortality events
62
MACE events
101
Elevated TyG and all-cause mortality, HR
1.85 (1.25, 2.73) (95% CI)
Elevated TyG and MACE, HR
1.71 (1.26, 2.33) (95% CI)
Observational data: associations, not effects.
Further findings
Subgroups: TyG–MACE association
- Association more prominent among individuals below 60
Mediation by estimated glomerular filtration rate (eGFR) and body roundness index (BRI)
- eGFR mediated share of TyG effect on all-cause mortality
- 8.8%
- eGFR mediated share of TyG effect on MACE
- 10.6%
- BRI share of TyG effect on all-cause mortality
- 6.2%
Predictive accuracy
- Adding TyG to conventional risk models significantly enhanced predictive accuracy
Original publication
Predictive significance of triglyceride-glucose index in forecasting adverse cardiovascular events among Type 2 diabetes mellitus patients with co-existing metabolic dysfunction-associated steatotic liver disease (MASLD): evidence from two cohort studies. Cardiovasc Diabetol. Published 18 June 2026. doi:10. 1186/ s12933-026-03259-0
Composed by AI from the published abstract and checked against it. How Briefs are made →