Identifying clinical phenotype clusters in patients with coronary artery disease
Authors' conclusion
Four distinct and reproducible phenotypes, with differences in the risk of recurrent CV events, were identified among patients with CAD. These may be relevant in practice and warrant research into specific pathophysiology and differences in treatment effects.
Study context
- Population
- Patients with coronary artery disease (CAD) from the SWEDEHEART registry and the UCC-SMART cohortSWEDEHEART registry 88,894 · UCC-SMART cohort 5,506
- Participants
- 33,777 / 18,775 / 26,501 / 9,841
- Comparison
- Association between clusters and the composite of myocardial infarction, stroke or cardiovascular (CV) death
- Cluster 1n = 33,777reference
- Cluster 2n = 18,775
- Cluster 3n = 26,501
- Cluster 4n = 9,841
- Outcome
- Composite of:
- Myocardial infarction
- Stroke
- CV death
Methodological detailsclustering performed in SWEDEHEART and validated in UCC-SMART, Cox proportional hazard models
- Clustering performed in SWEDEHEART and validated in UCC-SMART
- Cox proportional hazard models
Main finding
As reported in the abstract
Each group vs cluster 1Hazard ratio (95% CI)
Cluster 4
4.38(4.01–4.78)
Cluster 3
1.78(1.70–1.85)
Cluster 2
0.97(0.88–1.07)
Further findings
- Validation in UCC-SMART yielded similar results
Original publication
Identifying clinical phenotype clusters in patients with coronary artery disease. Heart. Published 1 June 2025. doi:10.
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