AI Article Synopsis

  • This study investigates how changes in brain natriuretic peptide (BNP) levels before and after catheter ablation for atrial fibrillation (AF) affect patient outcomes, specifically in those also dealing with heart failure (HF).
  • In the analysis of 162 patients, those with AF at baseline showed a significant decrease in BNP levels post-ablation, while those in sinus rhythm saw an increase, with poor BNP reduction being linked to worse long-term outcomes like HF hospitalization and increased mortality.
  • The findings suggest that monitoring BNP levels can help identify high-risk patients after sinus rhythm is restored, even though the recurrence rates of AF were similar among different BNP response groups.

Article Abstract

Background: Brain natriuretic peptide (BNP) predicts the prognosis in patients with atrial fibrillation (AF) and heart failure (HF); however, the level of BNP can change immediately after restoration of sinus rhythm. We aimed to investigate the clinical impact of serial change in BNP level before and after catheter ablation for AF, on the prognosis.

Methods: In this retrospective single center study, 162 consecutive patients (67±9 years, 66.7% male) with AF and concomitant HF who underwent catheter ablation were examined. We analyzed the cardiac rhythm and % change in BNP pre- and post-ablation.

Results: BNP increased by 32.7% (-4.5% to 51.3%) in patients with sinus rhythm at baseline (sinus rhythm group: N=50) and decreased by 47.6% (20.9 to 61.6%) in patients with AF rhythm at baseline. Patients with AF rhythm at baseline were categorized into two groups according to the median value of reduction in % BNP; patients with good % BNP reduction (good BNP-R group; N=56), and with poor % BNP reduction (poor BNP-R group; N=56). Although the rate of recurrence of AF after ablation was comparable between the good and poor BNP-R groups, poor BNP-R was an independent predictor of subsequent composite events including HF hospitalization, ischemic stroke, and all cause of death after ablation, even after adjusting for other confounders (hazard ratio: 6.85, 95% confidence interval: 2.16 to 21.7, p-value=0.001). In the longitudinal analysis of echocardiographic parameters, shortening of the left ventricular end-diastolic diameter with preserved ejection fraction was evident except in the poor BNP-R group.

Conclusion: In patients with AF and HF, poor % BNP reduction was an independent predictor of adverse outcome, although the rate of recurrence of AF was comparable. Serial BNP measurement might help in better identification of high-risk patients in whom sinus rhythm is restored with catheter ablation.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jjcc.2020.11.011DOI Listing

Publication Analysis

Top Keywords

catheter ablation
16
sinus rhythm
16
poor bnp-r
16
rhythm baseline
12
bnp reduction
12
bnp
10
patients
9
clinical impact
8
impact serial
8
serial change
8

Similar Publications

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 PDF

12 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.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Catheter ablation-based management strategies for the drug-refractory electrical storm (ES) have been proven to abolish acute ventricular arrhythmic episodes and improve long-term outcomes. However, this effect is highly influenced by multiple independently acting factors, which, if identified and addressed, may allow a more tailored management to each particular case to improve results. This review synthesizes existing evidence concerning ES outcome predictors of patients undergoing ablation and introduces the role of novel scoring algorithms to refine risk stratification.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!