Impact of Effective Refractory Period Personalisation on Arrhythmia Vulnerability in Patient-Specific Atrial Computer Models.

Patricia Martínez Díaz Albert Dasí Christian Goetz Laura UngerAnnika HaasArmin LuikBlanca RodríguezOlaf Dössel Axel Loewe

Published in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2024)

Increased ERP dispersion had a greater effect on reentry dynamics than on vulnerability. Inducibility was higher in personalised scenarios compared to scenarios with uniformly reduced ERP; however, this effect was reversed when incorporating fibrosis informed by low voltage areas.ERP measurement uncertainty up to 20 ms slightly influenced vulnerability. Electrophysiological personalisation of atrial in silico models appears essential and requires confirmation in larger cohorts.

Keyphrases

climate change
atrial fibrillation
multiple sclerosis
catheter ablation
left atrial
ms ms
deep learning
molecular docking
mitral valve
machine learning
molecular dynamics simulations
liver fibrosis