Association of long-term triglyceride-glucose index patterns with the incidence of chronic kidney disease among non-diabetic population: evidence from a functional community cohort
Authors' conclusion
Both TyG index variability and cumulative TyG index can independently predict incident CKD among non-diabetic population. Monitoring longitudinal patterns of TyG index may assist with prediction and prevention of incident CKD.
Study context
- Population
- Non-diabetic participants with one health examination per year from 2015 to 2017
- Participants
- 5,484 participants
- Exposure
- Highest vs lowest quartile of triglyceride-glucose (TyG) index variability and of cumulative TyG index
- Outcome
- Incident CKD
- Follow-up
- Median 3.82 years
Methodological detailsfunctional community cohort
- Functional community cohort
Main finding
As reported in the abstract
median 3.82 years
Each group vs lowest quartileHazard ratio (95% CI)
Highest TyG index variability quartile
1.772(1.453–2.162)
Highest cumulative TyG index quartile
2.091(1.646–2.655)
- Participants developing chronic kidney disease (CKD)
- 879
Observational data: associations, not effects.
Further findings
- Best discrimination and reclassification improvement after adding baseline TyG, TyG index variability and cumulative TyG index to the clinical risk model for CKD
Original publication
Association of long-term triglyceride-glucose index patterns with the incidence of chronic kidney disease among non-diabetic population: evidence from a functional community cohort. Cardiovasc Diabetol. Published 3 January 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →