Coronary stenting alters vessel dynamics, displacing hinge movement closer to stent edges. We aimed to investigate whether calcified nodules (CNs) are more frequent at stent edges associated with calcium.

The impact of lipid core burden index (LCBI) after percutaneous coronary intervention (PCI) in the stented segment assessed by intracoronary near-infrared spectroscopy on the outcomes remains unclear.

Aortic stenosis (AS) involves calcific and fibrotic degeneration of the valve tissue. The only noninvasive method for evaluating both processes is contrast-enhanced computed tomography angiography. We aimed to explore the differences in aortic valve (AV) tissue composition across sex, race/ethnicity, and AS hemodynamic phenotype in US patients referred for transcatheter AV replacement planning.

Despite advances in cardiovascular care and improved outcomes, fragmented healthcare systems, nonequitable access to health care, and nonuniform and unbiased collection and access to healthcare data have exacerbated disparities in healthcare provision and further delayed the technological-enabled implementation of precision medicine. Precision medicine relies on a foundation of accurate and valid omics and phenomics that can be harnessed at scale from electronic health records. Big data approaches in noncardiovascular healthcare domains have helped improve efficiency and expedite the development of novel therapeutics; therefore, applying such an approach to cardiovascular precision medicine is an opportunity to further advance the field. Several endeavors, including the American Heart Association Precision Medicine platform and public-private partnerships (such as BigData@Heart in Europe), as well as cloud-based platforms, such as Terra used for the National Institutes of Health All of Us, are attempting to temporally and ontologically harmonize data. This state-of-the-art review summarizes best practices used in cardiovascular genomic and precision medicine and provides recommendations for systems' requirements that could enhance and accelerate the integration of these platforms.

Heart failure (HF) is a highly prevalent condition characterized by exercise intolerance, an important metric for ambulatory prognostication. However, current methods to assess exercise capacity are often limited to tertiary HF centers, lacking scalability or accessibility. Wearable devices can enable near-continuous dynamic biometrics including exercise tolerance.

In hypertrophic cardiomyopathy (HCM), the mechanisms through which pathogenic sarcomere variants (G+) lead to left ventricular hypertrophy (LVH) are not understood.