Clusters of prediabetes and type 2 diabetes stratify all-cause mortality in a cohort of participants undergoing invasive coronary diagnostics
Authors' conclusion
Metabolic clustering successfully stratifies survival even among persons undergoing invasive coronary diagnostics. Novel clustering approaches based on glucose metabolism can identify persons who require special attention as they are at risk of increased mortality.
Study context
- Population
- Patients referred for coronary angiography (LURIC Study), median age 63 (IQR 56–70); 1269 without diabetes and 794 with T2D1,269 non-diabetes, 794 T2D
- Exposure
- Metabolic clusters of prediabetes and T2D vs low-risk non-diabetes clusters
- Outcome
- All-cause mortality
- Follow-up
- 16.1 (IQR 9.6, 17.7) years
Methodological detailscluster analysis, Cox regression
- Cluster analysis
- Cox regression
Main finding
As reported in the abstract
All-cause mortality, non-diabetes high-risk clusters
Hazard ratio
1.42
Cluster 3
Hazard ratio
1.43
Cluster 5
Hazard ratio
1.46
Cluster 6
Observational data: associations, not effects.
Further findings
| Outcome | HR |
|---|---|
| All-cause mortality, T2D clusters vs low-risk non-diabetesMARD vs Low-risk non-diabetes | 2.2 |
| All-cause mortality, T2D clusters vs low-risk non-diabetesSIRD vs Low-risk non-diabetes | 2.2 |
| All-cause mortality, T2D clusters vs low-risk non-diabetesSIDD vs Low-risk non-diabetes | 2.5 |
All-cause mortality, T2D clusters vs low-risk non-diabetes
- Crude mortality not different in MOD vs low-risk non-diabetes
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Clusters of prediabetes and type 2 diabetes stratify all-cause mortality in a cohort of participants undergoing invasive coronary diagnostics. Cardiovasc Diabetol. Published 17 August 2023. doi:10.
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