Unsupervised clustering of intraventricular hemodynamic forces for the phenotyping of left-ventricular function in non-ischemic left ventricular cardiomyopathy.

Background: Cardiac magnetic resonance (CMR) is essential for diagnosing cardiomyopathy, serving as the gold standard for assessing heart chamber volumes and tissue characterization. Hemodynamic forces (HDF) analysis, a novel approach using standard cine CMR images, estimates energy exchange between the left ventricular (LV) wall and blood. While prior research has focused on peak or mean longitudinal HDF values, this study aims to investigate whether unsupervised clustering of HDF curves can identify clinically significant patterns and stratify cardiovascular risk in non-ischemic LV cardiomyopathy (NILVC).

Systematic Coronary Risk Evaluation 2 for Older Persons (SCORE2-OP): 10 years risk validation, clinical utility and potential improvement.

Aims: European Systematic Coronary Risk Assessment 2 for Older Persons (SCORE2-OP) model has shown modest performance when externally validated in selected cohorts. We aim to investigate its predictive performance and clinical utility for 10-years cardiovascular (CV) risk in an unbiased and representative cohort of older people of a low CV risk country. Furthermore, we explore whether other clinical or echocardiographic features could improve its performance.