Recommendations for cardiovascular health and disease surveillance for 2030 and beyond: A policy statement from the american heart association

The release of the American Heart Association's 2030 Impact Goal and associated metrics for success underscores the importance of cardiovascular health and cardiovascular disease surveillance systems for the acquisition of information sufficient to support implementation and evaluation. The aim of this policy statement is to review and comment on existing recommendations for and current approaches to cardiovascular surveillance, identify gaps, and formulate policy implications and pragmatic recommendations for transforming surveillance of cardiovascular disease and cardiovascular health in the United States. The development of community platforms coupled with widespread use of digital technologies, electronic health records, and mobile health has created new opportunities that could greatly modernize surveillance if coordinated in a pragmatic matter. However, technology and public health and scientific mandates must be merged into action. We describe the action and components necessary to create the cardiovascular health and cardiovascular disease surveillance system of the future, steps in development, and challenges that federal, state, and local governments will need to address. Development of robust policies and commitment to collaboration among professional organizations, community partners, and policy makers are critical to ultimately reduce the burden of cardiovascular disease and improve cardiovascular health and to evaluate whether national health goals are achieved

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization and repolarization, estimated by QRS duration and JT interval, respectively. QT interval abnormalities are associated with potentially fatal ventricular arrhythmia. Using genome-wide multi-ancestry analyses (>250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways

The QT interval is an electrocardiographic measure representing the sum of ventricular depolarization and repolarization, estimated by QRS duration and JT interval, respectively. QT interval abnormalities are associated with potentially fatal ventricular arrhythmia. Using genome-wide multi-ancestry analyses (>250,000 individuals) we identify 177, 156 and 121 independent loci for QT, JT and QRS, respectively, including a male-specific X-chromosome locus. Using gene-based rare-variant methods, we identify associations with Mendelian disease genes. Enrichments are observed in established pathways for QT and JT, and previously unreported genes indicated in insulin-receptor signalling and cardiac energy metabolism. In contrast for QRS, connective tissue components and processes for cell growth and extracellular matrix interactions are significantly enriched. We demonstrate polygenic risk score associations with atrial fibrillation, conduction disease and sudden cardiac death. Prioritization of druggable genes highlight potential therapeutic targets for arrhythmia. Together, these results substantially advance our understanding of the genetic architecture of ventricular depolarization and repolarization.Pathophysiology, epidemiology and therapy of agein