Filters
Close
ADDED DATE
Added date
TOPICS Please select
WATCH / LISTEN / READ TIME
Author(s): Marat Fudim , David Duncker Added: 2 weeks ago
In this episode of Arrhythmia Academy's Journal Club, Dr David Duncker (Hannover Heart Rhythm Center, DE) is joined by Dr Marat Fudim (Duke University, US) to examine the critical early-risk period following heart failure diagnosis and the emerging role of wearable cardioverter defibrillators in sudden cardiac death prevention.The discussion centres on findings from the SCD-PROTECT study, a 19… View more
Author(s): Rahul Aggarwal , Dirk Müller-Wieland Added: 5 months ago
Filmed onsite at EASD 2025, this on-demand series features key insights from Prof Dirk Müller-Wieland and Dr Rahul Aggarwal to interpret the latest data on eicosapentaenoic acid(EPA), including the latest sub-analysis of the REDUCE-IT trial, whichanalysed the effectiveness of icosapent ethyl (IPE) on CV risk by triglyceride-glucose (TyG) index - an indicator of insulin resistance and risk of type… View more
Author(s): Carl Streed Added: 2 years ago
EASD 2023 – Dr Carl G Streed (Boston University School of Medicine, US) joins us to summarise healthcare disparities among the LGBTQ+ population.In this interview, Dr Streed discusses the available evidence and explains the minority stress model. This model suggests that experiences of discrimination and stress contribute to worse health outcomes in the LGBTQ community. This can lead to mental… View more
Author(s): William McIntyre Added: 1 year ago
EHRA 24 - Investigator, Dr William McIntyre (Population Health Research Institute, CA) joins us to discuss the findings from a substudy of ARTESiA (NCT01938248).ARTESiA was a randomized, parallel assignment clinical trial which aimed to assess if apixaban could reduce the risk of ischemic stroke and systemic embolism in patients with subclinical atrial fibrillation (AF) and additional risk… View more
Added: 4 months ago Source:  Arrhythmia Academy
Atrial fibrillation (AF) has a complex genetic architecture, and a new study suggests that integrating information on common, rare, and somatic genetic variants can significantly improve risk prediction. Researchers developed an integrated genomic model (IGM-AF) that, when combined with clinical factors, enhanced the stratification of individuals at risk for incident AF.¹This cohort study… View more