Heart failure & cardiomyopathies
Unsupervised clustering of intra-ventricular haemodynamic forces for the phenotyping of left ventricular function in non-ischaemic left ventricular cardiomyopathy
An erratum to this article was published (Eur Heart J Cardiovasc Imaging, 31 Jul 2025 ↗)
Authors' conclusion
Analysing both longitudinal and transversal HDFs throughout the cardiac cycle enables the identification of distinct phenotypes with prognostic value beyond EF and LGE in NILVC patients.
Study context
- Population
- Patients with non-ischaemic left ventricular (LV) cardiomyopathy (non-ischaemic LV cardiomyopathy (NILVC)) who underwent cardiac cardiac magnetic resonance (CMR) at Vall d’Hebron University Hospital (Barcelona)patients with NILVC
- Participants
- 279 patients
- Exposure
- Clusters 2 and 3 compared with Cluster 1
- Outcome
- Composite of:
- CV mortality
- Heart failure hospitalization
- Ventricular arrhythmias
- Follow-up
- Median 40 months
Methodological detailsunsupervised clustering
- Unsupervised clustering
Main finding
As reported in the abstract
- Patients experienced the composite outcome
- 60
Observational data: associations, not effects.
Further findings
Baseline characteristics
- Median age (years)
- 65 (57.0; 74.0)
- Females
- 27.2%
- Late gadolinium enhancement (LGE)
- 35.5%
Unsupervised clustering
- Three distinct clusters, delineating risk groups with worsening LA and LV function, indicating a stepwise increase in cardiovascular (CV) risk profile
Original publication
Unsupervised clustering of intra-ventricular haemodynamic forces for the phenotyping of left ventricular function in non-ischaemic left ventricular cardiomyopathy. Eur Heart J Cardiovasc Imaging. Published 10 January 2025. doi:10.
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