TyG index variability and cumulative TyG index may predict incident CKD in non-diabetic population
In a recent study highlighted the intricate connection between metabolic health and kidney function by identifying the triglyceride-glucose (TyG) index as a critical marker to predict the onset of chronic kidney disease (CKD) in non-diabetic individuals. The findings of this research were published in the BMC Cardiovascular Diabetology.
The TyG index was recognized as a reliable surrogate marker for insulin resistance and has previously been associated with incident CKD. The impact of the longitudinal patterns of TyG index on CKD risk among non-diabetic populations were unexplored so far.
The prospective study encompassed a total of 5484 non-diabetic participants who underwent annual health examinations from 2015 to 2017. The study calculated TyG index variability and cumulative TyG index to assess the longitudinal patterns. 879 participants developed CKD over a median follow-up of 3.82 years.
The participants in the highest TyG index variability quartile exhibited a hazard ratio (HR) of 1.772 (95% CI: 1.453, 2.162) while the individuals with highest cumulative TyG index quartile had an HR of 2.091 (95% CI: 1.646, 2.655) for incident CKD. These associations persisted even after adjusting for various factors.
The study underscored the significant improvement in discrimination and reclassification when baseline TyG, TyG index variability, and cumulative TyG index were included into the clinical risk model for CKD.
The findings suggest that both TyG index variability and cumulative TyG index serve as independent predictors of incident CKD in non-diabetic populations. This study emphasize the potential of monitoring longitudinal patterns of TyG index as a valuable tool to predict and prevent the onset of chronic kidney disease.
Reference:
Chen, N., Ma, L.-L., Zhang, Y., Chu, X., Dong, J., & Yan, Y.-X. (2024). 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. In Cardiovascular Diabetology (Vol. 23, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1186/s12933-023-02098-7
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