Literature DB >> 27261248

Good responders to catheter ablation for long-standing persistent atrial fibrillation: Clinical and genetic characteristics.

Jin-Kyu Park1, Ji-Young Lee2, Pil-Sung Yang1, Tae-Hoon Kim1, Eunsoon Shin3, Junbeom Park1, Jae-Sun Uhm1, Boyoung Joung1, Moon-Hyoung Lee1, Hui-Nam Pak4.   

Abstract

BACKGROUND: Radiofrequency catheter ablation (RFCA) for long-standing persistent atrial fibrillation (L-PeAF) is challenging and has a relatively high recurrence rate. We explored clinical and genetic characteristics associated with being good responders (no early or clinical recurrence within 12 months in the absence of anti-arrhythmic drugs) to RFCA among patients with L-PeAF.
METHODS: Of 1319 patients in the Yonsei AF Ablation Cohort, this study included 141 consecutive patients with L-PeAF (80.9% male, age 57.8±9.7 years) who were followed >12 months after RFCA.
RESULTS: During 25 (19-35) months follow-up, the recurrence rate was 39%, and 38 patients (27%) were categorized as good responders, those had a shorter AF duration (p=0.010), and smaller left atrial (LA) size (p=0.033) than others. The rs2106216 (16q22/ZFHX3) genetic polymorphism was independently associated with being a good responder in multivariate analysis (adjusted OR=2.70, 95% CI 1.41-5.14, p=0.003), after adjusting for LA size and AF duration. The rs2106261 had predictive value for clinical recurrence of AF after RFCA among patients with an AF duration 12-65 months (log rank, p=0.025).
CONCLUSIONS: Despite a relatively high recurrence rate after RFCA for L-PeAF, patients with a shorter AF duration and smaller LA size showed a more favorable outcome. The rs2106216 polymorphism (ZFHX3) was independently associated with being good responders to RFCA for L-PeAF, especially with AF duration 12-65 months.
Copyright © 2016 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ablation; Genetic polymorphism; Long-standing persistent atrial fibrillation

Mesh:

Year:  2016        PMID: 27261248     DOI: 10.1016/j.jjcc.2016.04.017

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  8 in total

1.  Genotype-phenotype associations in atrial fibrillation: meta-analysis.

Authors:  Zhen Hu; Deling Zou
Journal:  J Interv Card Electrophysiol       Date:  2018-11-17       Impact factor: 1.900

2.  Predictors of arrhythmia recurrence in patients with heart failure undergoing left atrial ablation for atrial fibrillation.

Authors:  George Bazoukis; Konstantinos P Letsas; Gary Tse; Katerina K Naka; Panagiotis Korantzopoulos; Evangelia Ntzani; Konstantinos Vlachos; Athanasios Saplaouras; Eirini Pagkalidou; Lampros K Michalis; Antonios Sideris; Michael Efremidis
Journal:  Clin Cardiol       Date:  2018-01-22       Impact factor: 2.882

Review 3.  Catheter Ablation of Atrial Fibrillation in Heart Failure: from Evidences to Guidelines.

Authors:  Arianna Cirasa; Carmelo La Greca; Domenico Pecora
Journal:  Curr Heart Fail Rep       Date:  2021-04-04

4.  Does Additional Electrogram-Guided Ablation After Linear Ablation Reduce Recurrence After Catheter Ablation for Longstanding Persistent Atrial Fibrillation? A Prospective Randomized Study.

Authors:  Tae-Hoon Kim; Jae-Sun Uhm; Jong-Youn Kim; Boyoung Joung; Moon-Hyoung Lee; Hui-Nam Pak
Journal:  J Am Heart Assoc       Date:  2017-02-07       Impact factor: 5.501

5.  Association of atrial fibrillation susceptibility genes, atrial fibrillation phenotypes and response to catheter ablation: a gene-based analysis of GWAS data.

Authors:  Daniela Husser; Petra Büttner; Laura Ueberham; Borislav Dinov; Philipp Sommer; Arash Arya; Gerhard Hindricks; Andreas Bollmann
Journal:  J Transl Med       Date:  2017-04-05       Impact factor: 5.531

Review 6.  Catheter Ablation of Long-standing Persistent Atrial Fibrillation: a Reckless Challenge or a Way to Real Cure?

Authors:  Hui Nam Pak
Journal:  Korean Circ J       Date:  2019-02       Impact factor: 3.243

7.  A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.

Authors:  Mina K Chung; Anant Madabhushi; Thomas Atta-Fosu; Michael LaBarbera; Soumya Ghose; Paul Schoenhagen; Walid Saliba; Patrick J Tchou; Bruce D Lindsay; Milind Y Desai; Deborah Kwon
Journal:  BMC Med Imaging       Date:  2021-03-09       Impact factor: 1.930

8.  Maintenance of low inflammation level by the ZFHX3 SNP rs2106261 minor allele contributes to reduced atrial fibrillation recurrence after pulmonary vein isolation.

Authors:  Shunsuke Tomomori; Yukiko Nakano; Hidenori Ochi; Yuko Onohara; Akinori Sairaku; Takehito Tokuyama; Chikaaki Motoda; Hiroya Matsumura; Michitaka Amioka; Naoya Hironobe; Yousaku Ookubo; Shou Okamura; Hiroshi Kawazoe; Kazuaki Chayama; Yasuki Kihara
Journal:  PLoS One       Date:  2018-09-04       Impact factor: 3.240

  8 in total

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