ArticlePLoS computational biology2018
Variability in pulmonary vein electrophysiology and fibrosis determines arrhythmia susceptibility and dynamics.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 47 citations in OpenAlex.
- Impact of effective refractory period personalization on arrhythmia vulnerability in patient-specific atrial computer models.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 · 2024Article
- Computational modeling of cardiac electrophysiology and arrhythmogenesis: toward clinical translation.Physiological reviews · 2024Review
- Bioinformatic Identification of Potential RNA Alterations on the Atrial Fibrillation Remodeling from Human Pulmonary Veins.International journal of molecular sciences · 2023Article
- Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation.Frontiers in physiology · 2023Article
- Adenosine and Adenosine Receptors: Advances in Atrial Fibrillation.Biomedicines · 2022Review
- Arrhythmogenic influence of mutations in a myocyte-based computational model of the pulmonary vein sleeve.Scientific reports · 2022Article
- Location and coupling interval of an ectopic excitation determine the initiation of atrial fibrillation from the pulmonary veins.Journal of cardiovascular electrophysiology · 2022Article
- Detection of focal source and arrhythmogenic substrate from body surface potentials to guide atrial fibrillation ablation.PLoS computational biology · 2022Article
- Predicting Atrial Fibrillation Recurrence by Combining Population Data and Virtual Cohorts of Patient-Specific Left Atrial Models.Circulation. Arrhythmia and electrophysiology · 2022Article
- Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps.PloS one · 2022Article
- Constructing a Human Atrial Fibre Atlas.Annals of biomedical engineering · 2021Article
- A Reproducible Protocol to Assess Arrhythmia VulnerabilityFrontiers in physiology · 2021Article
- Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a HybridFrontiers in physiology · 2021Article
- Time-Averaged Wavefront Analysis Demonstrates Preferential Pathways of Atrial Fibrillation, Predicting Pulmonary Vein Isolation Acute Response.Frontiers in physiology · 2021Article
- The 'Digital Twin' to enable the vision of precision cardiology.European heart journal · 2020Article
- Translational applications of computational modelling for patients with cardiac arrhythmias.Heart (British Cardiac Society) · 2020Review
- 3D Electrophysiological Modeling of Interstitial Fibrosis Networks and Their Role in Ventricular Arrhythmias in Non-Ischemic Cardiomyopathy.IEEE transactions on bio-medical engineering · 2020Article
- Mechanisms of Arrhythmias in the Brugada Syndrome.International journal of molecular sciences · 2020Review
- Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium.Journal of biomechanics · 2020Article
- Challenges Associated with Interpreting Mechanisms of AF.Arrhythmia & electrophysiology review · 2020Review
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Success rates for catheter ablation of persistent atrial fibrillation patients are currently low; however, there is a subset of patients for whom electrical isolation of the pulmonary veins alone is a successful treatment strategy. It is difficult to identify these patients because there are a multitude of factors affecting arrhythmia susceptibility and maintenance, and the individual contributions of these factors are difficult to determine clinically. We hypothesised that the combination of pulmonary vein (PV) electrophysiology and atrial body fibrosis determine driver location and effectiveness of pulmonary vein isolation (PVI). We used bilayer biatrial computer models based on patient geometries to investigate the effects of PV properties and atrial fibrosis on arrhythmia inducibility, maintenance mechanisms, and the outcome of PVI. Short PV action potential duration (APD) increased arrhythmia susceptibility, while longer PV APD was found to be protective. Arrhythmia inducibility increased with slower conduction velocity (CV) at the LA/PV junction, but not for cases with homogeneous CV changes or slower CV at the distal PV. Phase singularity (PS) density in the PV region for cases with PV fibrosis was increased. Arrhythmia dynamics depend on both PV properties and fibrosis distribution, varying from meandering rotors to PV reentry (in cases with baseline or long APD), to stable rotors at regions of high fibrosis density. Measurement of fibrosis and PV properties may indicate patient specific susceptibility to AF initiation and maintenance. PV PS density before PVI was higher for cases in which AF terminated or converted to a macroreentry; thus, high PV PS density may indicate likelihood of PVI success.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.