Phenotypic clustering of patients with newly diagnosed coronary artery disease using cardiovascular magnetic resonance and coronary computed tomography angiography. (4th February 2022)

• Record Type: Journal Article
• Authors: Pezel, T; Unterseeh, T; Hovasse, T; Asselin, A; Lefevre, T; Chevalier, B; Neylon, A; Benamer, H; Champagne, S; Sanguineti, S; Toupin, S; Garot, P; Garot, J
• Is Part Of: European heart journal. Volume 23(2022)Supplement 1
• Publication Date: 2022-02-04
• Subjects: Cardiovascular system -- Imaging -- Periodicals; Heart -- Imaging -- Periodicals; 616.10754
• DOI: 10.1093/ehjci/jeab289.401
• Languages: English
• ISSNs: 2047-2404

Abstract

Abstract: Funding Acknowledgements: Type of funding sources: None. BACKGROUND: Epidemiological characteristics and prognostic profiles of patients with newly diagnosed coronary artery disease (CAD) are heterogeneous. Thus, providing individualized cardiovascular (CV) risk stratification and tailored prevention is crucial. PURPOSE: Phenotypic unsupervised clustering integrating clinical, coronary computed tomography angiography (CCTA) and cardiac magnetic resonance (CMR) data was used to unveil pathophysiological differences between subgroups of patients with newly diagnosed CAD. METHODS: Between 2008 and 2020, consecutive patients with newly diagnosed obstructive CAD on CCTA and further referred for vasodilator stress CMR were followed for the occurrence of major adverse cardiovascular events (MACE), defined by cardiovascular death or nonfatal myocardial infarction. A cluster analysis was performed on clinical, CCTA and CMR variables, and associations between phenogroups and outcomes were assessed. RESULTS: Of 2, 210 patients who underwent CMR, 2, 015 (46% male, mean 70 ± 12 years) completed follow-up (median 6.8[IQR 5.9-9.2] years); 277 experienced a MACE (13.7%). Three mutually exclusive and clinically distinct phenogroups (PG) were identified based upon unsupervised hierarchical clustering of principal components: [PG1] CAD in elderly patients with few traditional risk factors; [PG2] women with metabolic syndrome, calcified plaques on CCTA and preserved left ventricular ejection fraction (LVEF); and [PG3] younger male smokers with proximal noncalcified plaques on CCTA, myocardial scar and reduced LVEF. Using survival analysis, the occurrence of MACE, cardiovascular mortality and all-cause mortality (all p < 0.001) differed among the three PG, PG3 having the worse prognosis. In each PG, inducible ischemia was associated with MACE (PG1, HR = 3.09, 95%CI, 1.70-5.62; PG2, HR = 3.62, 95%CI, 2.31-5.70; PG3, HR = 3.55, 95%CI, 2.30-5.49; all p < 0.001). CONCLUSIONS: Cluster analysis of clinical, CCTA and CMR variables identified 3 phenogroups of patients with newly diagnosed CAD that were associated with distinct clinical and prognostic profiles. Inducible ischemia assessed by stress CMR remained associated with the occurrence of MACE within each phenogroup.