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Risk-factor modification to prevent recurrent atrial fibrillation after catheter ablation.
Cleve Clin J Med
January 2025
Tulane Research Innovation for Arrhythmia Discovery, Tulane University School of Medicine, New Orleans, LA.
More and more patients with atrial fibrillation are undergoing catheter ablation as a rhythm-control strategy, but the recurrence rate after the procedure is high. A wide array of risk factors contribute to the pathogenesis of atrial fibrillation, including hypertension, diabetes mellitus, dyslipidemia, obesity, obstructive sleep apnea, metabolic dysfunction-associated steatotic liver disease (MASLD), smoking, alcohol consumption, and physical inactivity. This review summarizes the emerging evidence for periablation risk-factor modification to optimize postablation outcomes.
View Article and Find Full Text PDFMultiple vascular complications after catheter ablation - successful treatment of pseudoaneurysm and segmental deep vein thrombosis: Case report.
Kardiol Pol
January 2025
1st Chair and Department of Cardiology, Medical University of Warsaw, Warszawa, Poland.
Incidence, Characteristics and Prognostic Significance of Early Recurrences Following Different Ablation Approaches for Persistent Atrial Fibrillation.
Heart Rhythm
December 2024
University of Melbourne, Melbourne, Victoria, Australia; Royal Melbourne Hospital, Melbourne, Victoria, Australia; Baker Heart and Diabetes Research Institute, Melbourne, Victoria, Australia. Electronic address:
Background: Early recurrence of atrial tachyarrhythmia (ERAT) is common following catheter ablation of atrial fibrillation (AF). The specific clinical and arrhythmia characteristics of ERAT influencing late recurrence risk in persistent AF is unclear. Additionally, the impact of different ablation strategies on the incidence and prognostic significance of ERAT remains unknown.
View Article and Find Full Text PDF12 lead surface ECGs as a surrogate of atrial electrical remodeling - a deep learning based approach.
J Electrocardiol
December 2024
Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.
Background And Purpose: Atrial fibrillation (AF), a common arrhythmia, is linked with atrial electrical and structural changes, notably low voltage areas (LVAs) which are associated with poor ablation outcomes and increased thromboembolic risk. This study aims to evaluate the efficacy of a deep learning model applied to 12‑lead ECGs for non-invasively predicting the presence of LVAs, potentially guiding pre-ablation strategies and improving patient outcomes.
Methods: A retrospective analysis was conducted on 204 AF patients, who underwent catheter ablation.
Pulmonary vein anatomical variations are frequently observed in atrial fibrillation patients undergoing catheter ablation. However, when it comes to patients with atrial fibrillation and bilateral common ostium in the inferior pulmonary veins, using a bilateral circumferential pulmonary vein isolation approach during catheter ablation heightens the risk of esophageal injury. At present, there is no established standard catheter ablation strategy for such cases.
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