Physiology, Conduction Pacing Outcomes, and Arrhythmia Management in the HF Patient (non-ACE)-Physiology, Conduction Pacing Outcomes, and Arrhythmia Management in the HF Patient (non-ACE)

Video Transcription

Video Summary

The session focused on advancements in arrhythmia management for heart failure patients, covering several studies. Dr. Jonathan Ariyaratnam presented data indicating that atrial fibrillation (AF) and heart failure with preserved ejection fraction (HFPEF) are interlinked. His study found a high prevalence of HFPEF in patients undergoing AF ablation, with significant symptom burdens. Dr. Douglas Packer discussed a large registry study highlighting an increasing prevalence of HFPEF compared to heart failure with reduced ejection fraction (HFREF) over two decades. This shift could impact mortality and hospitalization rates, suggesting a potential benefit for more targeted therapies like atrial fibrillation ablation. Anshul Gupta's study explored the use of AI-generated ECGs to predict responses to cardiac resynchronization therapy with defibrillators (CRTD). Findings indicated that a delta age calculated from AI ECGs might serve as a marker for biological age, potentially predicting CRTD survivability. Dr. Sandeep Gulati discussed advanced VAT mapping as a tool for assessing and optimizing conduction in CRT patients, showing potential for predicting and managing heart failure pathways. Dr. Margarita Pujol-Lopez's research explored the characterization of right bundle branch block using invasive mapping, suggesting that left bundle branch pacing might be more effective due to the distal nature of observed blocks. Collectively, the talks underscored the importance of personalized medical approaches and advanced diagnostics in managing complex cardiac conditions.

Keywords

arrhythmia management

heart failure

atrial fibrillation

HFPEF

AF ablation

AI-generated ECGs

cardiac resynchronization therapy

VAT mapping

right bundle branch block

personalized medicine