Epicardial adipose tissue (EAT) induces inflammation in the atria and is associated with atrial fibrillation (AF). Several studies have examined the relationship between EAT volume (EAT-V) and density (EAT-D) and the presence of AF after catheter ablation. However, conclusions have been inconsistent. This study included 43 consecutive patients who underwent catheter ablation for AF and 30 control patients. EAT-V and EAT-D around the entire heart, entire atrium, left atrium (LA), and right atrium (RA) were measured in detail using reconstructed three-dimensional (3D) EAT images from dual-source computed tomography (CT). None of the measurements of EAT-V differed significantly between patients with AF and controls or between patients with recurrent AF and those without. On the other hand, all measurements of EAT-D were higher in patients with AF than in controls (entire atrium, p < 0.001; RA, p < 0.001; LA, p = 0.002). All EAT-D measurements were associated with the presence of AF. Among patients with AF who underwent ablation, all EAT-D measurements were higher in patients with recurrent AF than in those without. The difference was significant for EATRA-D (p = 0.032). All atrial EAT-D values predicted recurrent AF (EATRA-D: hazard ratio [HR], 1.208; 95% confidence interval [95% CI], 1.053-1.387; p = 0.007; EATLA-D: HR, 1.108; 95% CI 1.001-1.225; p = 0.047; EATatrial-D: HR, 1.174; 95% CI 1.040-1.325; p = 0.010). The most sensitive cutoffs for predicting recurrent AF were highly accurate for EATRA-D (area under the curve [AUC], 0.76; p < 0.01) and EATatrial-D (AUC = 0.75, p < 0.05), while the cutoff for EATLA-D had low accuracy (AUC, 0.65; p = 0.209). For predicting the presence of AF and recurrent AF after catheter ablation, 3D analysis of atrial EAT-D, rather than EAT-V, is useful.
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http://dx.doi.org/10.1007/s00380-024-02384-8 | DOI Listing |
Arch Cardiovasc Dis
December 2024
Service de cardiologie, hôpital Henri-Mondor, 94000 Créteil, France. Electronic address:
Background: Catheter ablation for atrial fibrillation in patients with heart failure with reduced ejection fraction is associated with a significant reduction in morbimortality. The convergent procedure is a valid ablation option for the treatment of long-standing persistent atrial fibrillation.
Aim: To describe the outcomes of patients with heart failure with reduced ejection fraction and long-standing persistent atrial fibrillation who underwent the convergent procedure.
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 PDFKardiol Pol
January 2025
1st Chair and Department of Cardiology, Medical University of Warsaw, Warszawa, Poland.
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 PDFJ 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.
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