Elevated Risk of Type 2 Diabetes in Individuals Recovered from Dyslipidemia
Researchers have identified that individuals who have recovered from dyslipidemia are at a higher risk of developing type 2 diabetes. A new study published in Frontiers in Endocrinology examined the association between novel lipid parameters and the risk of type 2 diabetes in individuals recovered from dyslipidemia. The study found that high-density lipoprotein cholesterol (HDL-C) was inversely associated with type 2 diabetes risk, while triglyceride, lipoprotein combine index (LCI), atherogenic index of plasma (AIP), non-HDL-C, Castelli's index-I, Castelli's index-II, and triglyceride-glucose index (TyG) were positively associated.
Key Takeaways:
- The study found that individuals recovered from dyslipidemia had a significantly higher type 2 diabetes risk (hazard ratio [HR], 1.37; 95% CI, 1.25-1.51) compared to those with persistent normal lipid levels.
- In the group of individuals recovered from dyslipidemia, high-density lipoprotein cholesterol (HDL-C) was inversely associated with type 2 diabetes risk.
- Triglyceride, lipoprotein combine index (LCI), atherogenic index of plasma (AIP), non-HDL-C, Castelli's index-I, Castelli's index-II, and triglyceride-glucose index (TyG) were positively associated with type 2 diabetes risk in individuals recovered from dyslipidemia.
- AIP and TyG outperformed other parameters in predictive ability.
- Novel lipid parameters, particularly AIP and TyG, demonstrate superior predictive performance in this group, providing valuable insights for risk stratification and targeted prevention strategies.
- Researchers from University Medical Center Groningen in Groningen, Netherlands,identified the need for risk stratification and targeted prevention strategies for individuals recovered from dyslipidemia.
Statistics:
- During follow-up, 5,223 participants developed type 2 diabetes.
- The hazard ratio (HR) for type 2 diabetes risk was 1.37 (95% CI, 1.25-1.51) for individuals recovered from dyslipidemia compared to those with persistent normal lipid levels.
- AIP and TyG outperformed other parameters in predictive ability for type 2 diabetes risk.
Sources:
- Frontiers in Endocrinology, 2025;16:1610091.
- Frontiers Media Sa, Avenue Du Tribunal Federal 34, Lausanne, Ch-1015, Switzerland.
- Zekai Chen, Dept. of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.