Pathways from insulin resistance to incident cardiovascular disease: a Bayesian network analysis
Authors' conclusion
Elevated TyG index was causally associated with the risk of CVD, a combined control of lifestyles and metabolic factors may contribute to the reduction of TyG index and the prevention of CVD.
Study context
- Population
- Chinese adults, Kailuan study
- Participants
- 96,506 adults
- Outcome
- Pathways from elevated TyG index to CVD
Methodological detailsBayesian network model, max-min hill climbing algorithm, maximum likelihood estimation
- Bayesian network model
- Max-min hill climbing algorithm
- Maximum likelihood estimation
Main finding
As reported in the abstract
- Bayesian network nodes
- 14
- Bayesian network arcs
- 25
- Pathways related to elevated triglyceride-glucose (TyG) index
- 28
- Pathways from elevated TyG index to cardiovascular disease (CVD)
- 8
- Elevated TyG index causally associated with CVD; condition probability
- 11.9%
- Most important pathway from elevated TyG index to CVD (via overweight/obesity, hypertension and CKD); condition probability
- 18.5%
- Maximum relative change rate related to elevated TyG index: overweight/obesity
- 64.3%
Observational data: associations, not effects.
Original publication
Pathways from insulin resistance to incident cardiovascular disease: a Bayesian network analysis. Cardiovasc Diabetol. Published 21 November 2024. doi:10.
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