Background: Better risk stratification is needed to evaluate patients with non-ischemic cardiomyopathy (NICM) for prophylactic implantable cardioverter-defibrillators (ICD). Growing evidence suggests cardiac magnetic resonance imaging (CMR) may be useful in this regard.
Objective: We aimed to determine if late-gadolinium enhancement (LGE) seen on CMR (dichotomized as none/minimal <2% vs significant ≥2%) predicts appropriate ICD therapies (primary endpoint) and/or all-cause mortality/transplant/left-ventricular assist device (LVAD) implantation (secondary endpoint) in NICM patients.
Over the past decade, there has been substantial growth in both the quantity and complexity of available biomedical data. In order to more efficiently harness this extensive data and alleviate challenges associated with integration of multi-omics data, we developed Petagraph, a biomedical knowledge graph that encompasses over 32 million nodes and 118 million relationships. Petagraph leverages more than 180 ontologies and standards in the Unified Biomedical Knowledge Graph (UBKG) to embed millions of quantitative genomics data points.
View Article and Find Full Text PDFBackground: Catheter ablation is an effective therapy in the management of atrial fibrillation (AF). Left atrial appendage closure (LAAC) is an alternative to anticoagulation for stroke prevention in patients with bleeding risks.
Objectives: The purpose of this study was to assess the safety and efficacy of combining AF ablation and LAAC in a single procedure.