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This study used cardiac magnetic resonance (CMR) to assess left ventricular (LV) remodeling in chronic aortic regurgitation (AR) to identify both forms of myocardial fibrosis and examine its association with clinical outcomes.

Chronic AR leads to LV remodeling, which is associated with 2 forms of myocardial fibrosis regional replacement fibrosis that is directly imaged by late gadolinium enhancement (LGE) CMR; and diffuse interstitial fibrosis, which can be inferred by T1 mapping techniques.

Patients with chronic AR who were undergoing contrast CMR with T1 mapping for valve assessment from 2011 to 2018 were enrolled. Patients with a confounding etiology of myocardial fibrosis were excluded. In addition to quantification of AR severity and LV volumetrics, LGE and T1 mapping pre- and post-contrast were performed to measure extracellular volume (ECV) and indexed ECV (iECV). Patients were followed up longitudinally to assess for the composite event of death and the need for aortic valve replacement.

A total of 177 patients with isolated chronic AR were included (66% males, median age 58 years [47.0 years-68.0 years]) with a median follow up of 2.5 years (1.07 years-3.56 years). The iECV significantly increased with AR severity (P<0.001), whereas ECV and replacement fibrosis did not (P = NS). On multivariate analysis, iECV remained associated with the composite event (P = 0.01). On Kaplan-Meier analysis stratified by AR regurgitant fraction (RF) and iECV, patients with AR RF severity≥30% and iECV≥24mL/m

demonstrated the highest event rate.

Among CMR biomarkers of fibrosis, iECV was more closely associated than replacement fibrosis or ECV with survival free of aortic valve replacement.

Among CMR biomarkers of fibrosis, iECV was more closely associated than replacement fibrosis or ECV with survival free of aortic valve replacement.

This study aimed at investigating the additional contribution of coronary artery calcium (CAC) score to SAFEHEART (Spanish Familial Hypercholesterolemia Cohort Study) risk equation (SAFEHEART-RE) for cardiovascular risk prediction in heterozygous familial hypercholesterolemia (HeFH).

Common cardiovascular risk equations are imprecise for HeFH. Because of the high phenotype variability of HeFH, CAC score could help to better stratify the risk of atherosclerotic cardiovascular disease (ASCVD).

REFERCHOL (French Registry of Familial Hypercholesterolemia) and SAFEHEART are 2 ongoing national registries on HeFH. We analyzed data from primary prevention HeFH patients undergoing CAC quantification. We used probability-weighted Cox proportional hazards models to estimate HRs. Area under the receiver-operating characteristic curve (AUC) and net reclassification improvement (NRI) were used to compare the incremental contribution of CAC score when added to the SAFEHEART-RE for ASCVD prediction. ASCVD was defined arovement of 45.4%.

CAC score proved its use in improving cardiovascular risk stratification and ASCVD prediction in statin-treated HeFH.

CAC score proved its use in improving cardiovascular risk stratification and ASCVD prediction in statin-treated HeFH.

The aim of this work was to identify the key morphological and functional features in secondary mitral regurgitation (sMR) and their prognostic impact on outcome.

Secondary sMR in patients with heart failure and reduced ejection fraction typically results from distortion of the underlying cardiac architecture. The morphological components which may account for the clinical impact of sMR have not been systematically assessed or correlated with clinical outcomes.

Morphomic and functional network profiling were performed on a cohort of patients with stable heart failure optimized on guideline-based medical therapy. Principal component (PC) analysis and subsequent cluster analysis were used to condense the morphomic and functional data first into PCs with varimax rotation (PC

) and second into homogeneous clusters. Clusters and PCs were tested for their correlations with clinical outcomes.

Morphomic and functional data from 383 patients were profiled and subsequently condensed into PCs. PC

1 describes annot be purely attributed to cardiac morphology alone, supporting other complementary key aspects of mitral valve closure consistent with the force balance theory. Unsupervised clustering supports the association of sMR with mortality predominantly driven by the small LV cavity phenotype, as previously suggested by a conceptional framework and termed disproportionate sMR.

These results challenge the current perceptions that sMR in heart failure with reduced ejection fraction results exclusively from global or local LV remodeling and are suggestive of a potential role of the left atrial component. The association of sMR with mortality cannot be purely attributed to cardiac morphology alone, supporting other complementary key aspects of mitral valve closure consistent with the force balance theory. Unsupervised clustering supports the association of sMR with mortality predominantly driven by the small LV cavity phenotype, as previously suggested by a conceptional framework and termed disproportionate sMR.This article explores the structure of the network of actors involved in the care of individuals with unhealthy alcohol use (UAU) at the primary care level in five primary care centers in Colombia between 2017 and 2018. selleck chemical We use the Actor-Network Theory Framework (ANT) which posits that health outcomes are a product of a multitude of relationships between different stakeholders. The article focuses on the network configuration that develops between the actors and its effects on the processes of identification, care, and follow-up of people with UAU. The data come from five care centers that participated in the pilot phase of an implementation research project that seeks to apply evidence-based interventions for the detection and treatment of depression and unhealthy alcohol use. Semi-structured interviews and focus groups (FG) were conducted with patients, health and administrative staff, and users from Alcoholics Anonymous. The interviews were transcribed and coded using N-Vivo. The analysis identified the ways in which actors are linked by the community to UAU.