An elevated triglyceride-glucose index predicts adverse outcomes and interacts with the treatment strategy in patients with three-vessel disease
Main finding · MACEResult — go to the resultAdjusted hazard ratio 1.161 95% CI 1.026–1.314Authors' conclusion
The TyG index is a potential indicator for risk stratification and therapeutic decision-making in patients with TVD.
Study context
- Population
- Patients with three-vessel disease (TVD) with available baseline triglyceride-glucose (TyG) index data, treated with coronary artery bypass grafting (CABG), percutaneous coronary intervention (PCI) or medical therapy alone
- Participants
- 8,862 patients
- Exposure
- Elevated TyG index vs normal TyG index
- Outcome
- MACE
- Follow-up
- Median 7.5 years
Main finding
As reported in the abstract
Adjusted hazard ratio
1.161
95% CI 1.026–1.314
P = 0.018
Elevated TyG indexvs Normal TyG index
aHR 1.161 (95% CI 1.026–1.314); P = 0.018
Observational data: associations, not effects.
Further findings
Major adverse cardiac events (MACE) by diabetes status
- Elevated TyG index had more pronounced predictive value for MACE in patients with diabetes, but failed to predict MACE in those without diabetes, whether stable angina pectoris (SAP) or acute coronary syndrome (ACS)
MACE in patients with left main involvement
- Association between elevated TyG index and MACE also found in patients with left main involvement
CABG vs PCI by TyG index
- CABG conferred a significant survival advantage over PCI with normal TyG index, but was not superior to PCI with elevated TyG index unless patients had both ACS and diabetes
Medical therapy vs revascularisation in SAP with elevated TyG index
- Benefit similar between medical therapy and revascularisation among patients with SAP and elevated TyG index
Original publication
An elevated triglyceride-glucose index predicts adverse outcomes and interacts with the treatment strategy in patients with three-vessel disease. Cardiovasc Diabetol. Published 6 December 2023. doi:10. 1186/ s12933-023-02063-4
Composed by AI from the published abstract and checked against it. How Briefs are made →