Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study
Main finding · CVDResult — go to the resultOdds ratio 0.24 CI 0.18,0.32Authors' conclusion
A lower eGDR was significantly associated with a heightened likelihood of CVD and its subtypes in diabetic and prediabetic populations. And eGDR exhibited better performance in evaluating the associations compared to other IR proxies encompassing TyG, HOMA-IR, QCUIKI, METS-IR, etc.
Study context
- Population
- Respondents with diabetes and prediabetes, NHANES 1999–2016
- Participants
- 10,690 respondents
- Exposure
- Higher vs lower estimated glucose disposal rate (eGDR) quartiles
- Outcome
- CVD and its subtypes (CAD, CHF, stroke)
Methodological detailsNHANES 1999-2016, machine learning variable selection (SVM-RFE, XGBoost, Boruta), multivariate logistic regression
- NHANES 1999-2016
- Machine learning variable selection (SVM-RFE, XGBoost, Boruta)
- Multivariate logistic regression
Main finding
CVD
Odds ratio
0.24
CI 0.18,0.32
Q4vs Q1
OR 0.24 (CI 0.18,0.32)
As reported in the abstract
Observational data: associations, not effects.
Further findings
CAD (per eGDR)
- OR
- 0.81(0.78,0.85)
CHF (per eGDR)
- OR
- 0.81(0.76,0.86)
Stroke (per eGDR)
- OR
- 0.85(0.80,0.90)
Model performance, C-statistics (Model 3 vs Model 1)
- Cardiovascular disease (CVD)
- 0.683 vs. 0.814
- CAD
- 0.672 vs. 0.807
- CHF
- 0.714 vs. 0.839
- Stroke
- 0.660 vs. 0.790
- Better performance in fully adjusted models than basic models
AUC of eGDR vs other IR surrogates
- Significantly higher in unadjusted models, slightly higher in fully adjusted models
Subgroup analyses
- Results were robust
Original publication
Association between estimated glucose disposal rate and cardiovascular diseases in patients with diabetes or prediabetes: a cross-sectional study. Cardiovasc Diabetol. Published 13 January 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →