Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population
Authors' conclusion
This study identifies statistically significant associations between atherogenicity indices and prediabetes risk, highlighting their nonlinear relationships and combined effects. While the predictive performance of these indices is modest (AUC 0.55-0.68), these findings may contribute to improved risk stratification when incorporated into comprehensive assessment strategies.
Study context
- Population
- General Chinese physical examination population, 32 healthcare centers across China
- Participants
- 97,151 participants32 centers
- Exposure
- Six atherogenicity indices and prediabetes risk
- Outcome
- Incident prediabetes
- Follow-up
- Median 2.99 (2.13, 3.95) years
Methodological detailsmulticentre
- Multicentre
Main finding
As reported in the abstract
Developed prediabetes
11,199 participants
Incidence rate
3.71 per 100 person-years
Atherogenic Index of Plasma (AIP) (Z-score standardized), most significant predictor: HR
1.057 (1.035-1.080), P < 0.0001 (95% CI)
Lipoprotein Combine Index (LCI) (Z-score standardized), secondary important marker: HR
1.020 (1.002-1.038), P = 0.0267 (95% CI)
Observational data: associations, not effects.
Further findings
Predictive performance (time-dependent ROC) · 3-, 4- and 5-year follow-up
- LCI and AIP comparable discrimination, overlapping AUC range
- 0.5952-0.6082
- Combined indices model AUC
- 0.6753
Original publication
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