The relationship between anthropometric indices and cardiovascular risk in patients with type 2 diabetes mellitus
Authors' conclusion
VAI, CI, and LAP do not adequately predict CVD risk in T2DM patients, suggesting that traditional risk assessment methods may remain more reliable for this population.
Study context
- Population
- Hospitalized T2D patients aged 19–64, Bandırma Education and Research Hospital
- Participants
- 371 patients
- Comparison
- VAI, Conicity Index and Lipid Accumulation Product (LAP) for predicting 10-year Cardiovascular Disease (CVD) risk
- Outcome
- Prediction of 10-year CVD risk estimated by the SCORE model (ROC analysis)
Methodological detailssingle-centre
- Single-centre
Main finding
As reported in the abstract
Discrimination of SCORE-estimated CVD risk
| Group | AUC |
|---|---|
| VAI | 0.454 |
| Conicity Index | 0.563 |
| LAP | 0.468 |
AUC
VAI0.454
Conicity Index0.563
LAP0.468
Further findings
Correlation of indices with Systematic Coronary Risk Estimation (SCORE)
- No significant correlation between these indices and the SCORE model in both age groups
SCORE risk by age
- Mean SCORE risk significantly higher in individuals aged ≥ 65 years
- P < 0.001
- Classified as high-risk
- 70.4 %
Original publication
The relationship between anthropometric indices and cardiovascular risk in patients with type 2 diabetes mellitus. Diabetes Res Clin Pract. Published 9 May 2025. doi:10.
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