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).

Does Gender Influence the Indication of Treatment and Long-Term Prognosis in Severe Aortic Stenosis?

Introduction: It is a matter of controversy whether the therapeutic strategy for severe aortic stenosis (AS) differs according to gender.

Methods: Retrospective study of patients diagnosed with severe AS (transvalvular mean gradient ≥ 40 mmHg and/or aortic valvular area < 1 cm) between 2009 and 2019. Our aim was to assess the association of sex on AVR or medical management and outcomes in patients with severe AS.