Nonlinear relationship between untraditional lipid parameters and the risk of prediabetes: a large retrospective study based on Chinese adults
Authors' conclusion
Nonlinear associations were observed between untraditional lipid parameters and the risk of prediabetes. The predictive value of untraditional lipid parameters for prediabetes surpassed that of traditional lipid parameters, with LCI emerging as the most effective predictor for prediabetes.
Study context
- Population
- Chinese adults with normal baseline blood glucose levels
- Participants
- 100,309 adults
- Exposure
- 12 traditional and untraditional lipid parameters and prediabetes risk
- Outcome
- New onset of prediabetes
Methodological detailsretrospective
- Retrospective
Main finding
As reported in the abstract
New-onset prediabetes
Newly diagnosed with prediabetes
12,352
12.31%
Observational data: associations, not effects.
Further findings
Predictive value of lipid parameters (AUC) in subgroups
- In younger adults, females, those with family history of diabetes and non-obese individuals, lipoprotein combine index (LCI), triglyceride (TG) and atherogenic index of plasma (AIP) had higher predictive values for prediabetes onset than other lipid profiles
Original publication
Nonlinear relationship between untraditional lipid parameters and the risk of prediabetes: a large retrospective study based on Chinese adults. Cardiovasc Diabetol. Published 6 January 2024. doi:10.
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