Why the study?
Atrial cardiomyopathy encompasses patients with diverse demographics and comorbidities, motivating the identification of phenotype groups to compare mortality and atrial fibrillation event rates and assess mortality predictors.
Population
196 patients with severe AtCM from 724 consecutive patients with a dilated LA
Comparison
4 clinical phenotype clusters derived by hierarchical cluster analysis
Design
Hierarchical cluster analysis cohort study
Follow-up
Median of 20.6 months
Key result
In patients with severe atrial cardiomyopathy, four distinct clinical phenotype clusters were identified with significantly different all-cause mortality rates ranging from 10.8% to 29.1%.
Authors
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Phenotype clustering may refine mortality risk assessment in severe atrial cardiomyopathy; leaves open whether targeted interventions improve cluster-specific outcomes.
Cohort (n=196)
No
p-value: p=0.045
In patients with severe atrial cardiomyopathy, distinct clinical phenotypes exist with significantly different mortality risks, driven by factors such as heart failure, cancer, and severe tricuspid regurgitation.
Ilieva et al. (2025) conducted a cohort in Severe atrial cardiomyopathy (n=196). Clinical phenotype clusters was evaluated on All-cause mortality (p=0.045). In patients with severe atrial cardiomyopathy, four distinct clinical phenotype clusters were identified with significantly different all-cause mortality rates ranging from 10.8% to 29.1%.