Background: Artificial intelligence (AI) can predict biological age from electrocardiograms (ECGs), which is prognostic for mortality. Widely available and inexpensive, serial ECG measurements may enhance individual risk profiles.
Objective: We investigated whether repeated measurement of AI-derived biological age identifies divergent biological and chronological aging and whether it significantly improves all-cause mortality hazard estimates.
Background: Multiple studies have demonstrated the safety of pulsed-field ablation (PFA) systems; however, patients with cardiac implantable electronic devices (CIEDs) have been excluded because of concerns about the impact of strong electrical fields on device function and integrity.
Objective: This study assesses the effect of PFA on the function and integrity of CIEDs.
Methods: Patients with atrial fibrillation undergoing ablation were studied at 2 sites.
Background: Knowledge of lead biomechanics in a hypertrophied interventricular septum (IVS) may improve the success rate of left bundle branch area pacing (LBBAP) in these patients.
Objectives: We sought to investigate the biomechanics of lead penetration in an ex vivo ovine model of a hypertrophied IVS and compare the behavior of lumenless leads (LLL) vs stylet-driven leads (SDL) in terms of torque transfer and penetrating capacity.
Methods: Twenty fresh ex vivo ovine interventricular septae were excised to create a virtual hypertrophied IVS model by having 2 septae sandwiched together and placed in a custom-made clamp.
Background: Left bundle branch area pacing (LBBAP) has recently emerged as a strategy for conduction system pacing.
Objective: The purpose of this study was to evaluate the initial learning experience and acute procedural success in adopting this procedure in an academic training center.
Methods: A retrospective review of LBBAP procedures using the Biotronik Solia stylet-driven lead from June 2022 to December 2023 was performed.