Valvular & structural heart disease
Phenotyping of Mitral Valve Prolapse Without Severe Mitral Regurgitation Using Electrocardiographic and Echocardiographic Data
Authors' conclusion
Hierarchical clustering based on standard ECG and echocardiographic data alone identifies 3 MVP clusters with distinct arrhythmic profiles and excess mortality, highlighting LA function as a novel risk parameter in MVP without significant MR.
Study context
- Population
- Consecutive patients with mitral valve prolapse (MVP) and ≤moderate mitral regurgitation (MR) with echocardiographic, 12-lead and ambulatory electrocardiographic (ECG) data
- Participants
- 343 patients
- Exposure
- MVP phenotype clusters
- Outcome
- Arrhythmic events (sudden cardiac arrest, VF/VT or frequent ventricular ectopy) and overall mortality
- Follow-up
- Mean 5.4 ± 2.7 years
Methodological detailsunsupervised machine learning (hierarchical clustering), consecutive patients
- Unsupervised machine learning (hierarchical clustering)
- Consecutive patients
Main finding
As reported in the abstract
Mortality
Hazard ratio
5.01
P < 0.001
Cluster 2
Hazard ratio
5.85
P < 0.001
Cluster 3
Observational data: associations, not effects.
Further findings
Left atrial (LA) and LV structure and function
- Cluster 3 more abnormal LA and LV parameters vs Clusters 1 and 2
- all P < 0.001
- Top clustering features: ECG intervals, LA systolic strain, LA function index
Original publication
Phenotyping of Mitral Valve Prolapse Without Severe Mitral Regurgitation Using Electrocardiographic and Echocardiographic Data. JACC Clin Electrophysiol. Published 16 July 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →