Literature DB >> 28155995

Sinus Node Dysfunction and Atrial Fibrillation: A Reversible Phenomenon?

Larry R Jackson1,2, Bharath Rathakrishnan3, Kristen Campbell4, Kevin L Thomas1,2, Jonathan P Piccini1,2, Tristram Bahnson5, Jonathan A Stiber2, James P Daubert1,3.   

Abstract

BACKGROUND: Symptomatic sinus node dysfunction (SND) consists of a variety of manifestations, including tachycardia-bradycardia syndrome. Atrial fibrillation (AF) is commonly associated with SND, which complicates the management of both conditions. This paper reviews the epidemiology, pathophysiology, and clinical trial data investigating therapeutic approaches for treatment of patients with both SND and AF.
METHODS: The authors reviewed articles published in English describing the epidemiology, pathophysiology, and therapeutic approaches for patients with SND and AF. The search was conducted using PubMed. Keywords included: sick sinus syndrome, sinus node dysfunction, atrial fibrillation, pacing, and pulmonary vein isolation.
RESULTS: SND affects up to one in five patients with AF. AF can lead to anatomical and electrophysiological remodeling in both atria, including the region of sinoatrial node. Changes including atrial fibrosis, altered calcium channel metabolism, and transformed gene expression have been demonstrated in patients with AF and SND. Nonrandomized clinical trial data have failed to demonstrate whether any pacing strategy can reduce the risk of AF. Pulmonary vein isolation appears to decrease episodes of tachybrady syndrome and sinus pauses.
CONCLUSIONS: SND affects up to one in five patients with AF. The pathophysiological derangements in gene expression, ion channel metabolism, and alterations in myocardial architecture associated with AF may lead to anatomic and electrical changes in the region of the sinoatrial node. Ablation may improve symptoms associated with SND in patients with AF. Future randomized trials are needed to clarify the epidemiology and optimal management of patients with SND and AF.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  atrial fibrillation; electrophysiology - clinical; pacing

Mesh:

Year:  2017        PMID: 28155995     DOI: 10.1111/pace.13030

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  14 in total

1.  The incidence, indications and predictors of acute pacemaker implantation after ablation of persistent atrial fibrillation.

Authors:  Verena Semmler; Felix von Krogh; Bernhard Haller; Tilko Reents; Felix Bourier; Marta Telishevska; Marc Kottmaier; Marielouise Kornmayer; Stephanie Brooks; Katharina Koch-Büttner; Carsten Lennerz; Amir Brkic; Christian Grebmer; Patrick Blazek; Severin Weigand; Gabriele Hessling; Christof Kolb; Isabel Deisenhofer
Journal:  Clin Res Cardiol       Date:  2018-11-20       Impact factor: 5.460

Review 2.  [ESC guidelines 2021 on cardiac pacing and cardiac resynchronization therapy : What's new?]

Authors:  Julia Vogler; Ahmad Keelani; Anna Traub; Roland Richard Tilz
Journal:  Herz       Date:  2022-01-10       Impact factor: 1.443

3.  Heart rate variability and atrial fibrillation in the general population: a longitudinal and Mendelian randomization study.

Authors:  Sven Geurts; Martijn J Tilly; Banafsheh Arshi; Bruno H C Stricker; Jan A Kors; Jaap W Deckers; Natasja M S de Groot; M Arfan Ikram; Maryam Kavousi
Journal:  Clin Res Cardiol       Date:  2022-08-13       Impact factor: 6.138

4.  Prevalence and predictors of atrial arrhythmias in patients with sinus node dysfunction and atrial pacing.

Authors:  Abdallah Bukari; Eisha Wali; Amrish Deshmukh; Zaid Aziz; Michael Broman; Andrew Beaser; Gaurav Upadhyay; Hemal Nayak; Roderick Tung; Cevher Ozcan
Journal:  J Interv Card Electrophysiol       Date:  2018-10-06       Impact factor: 1.900

5.  The Quantitative Relationship among the Number of the Pacing Cells Required, the Dimension, and the Diffusion Coefficient.

Authors:  Yue Zhang; Guisheng Yin; Kuanquan Wang
Journal:  Biomed Res Int       Date:  2020-06-25       Impact factor: 3.411

6.  A Simulation Study on the Pacing and Driving of the Biological Pacemaker.

Authors:  Yue Zhang; Lei Zhang; Yong Wang; Kuanquan Wang
Journal:  Biomed Res Int       Date:  2020-05-21       Impact factor: 3.411

7.  Association between routine biomarkers and atrial fibrillation in patients undergoing implantation of a dual-chamber pacemaker.

Authors:  Konstantinos Kyrlas; Tong Liu; George Bazoukis; Sofia Plakoutsi; Evangelos Liberopoulos; Haralampos Milionis; Panagiotis Korantzopoulos
Journal:  J Arrhythm       Date:  2020-12-17

Review 8.  Clinical review of sick sinus syndrome and atrial fibrillation.

Authors:  Wenxing Chang; Guangsen Li
Journal:  Herz       Date:  2021-06-22       Impact factor: 1.443

9.  Atrial Fibrillation Burden Detected by Dual-Chamber Pacemakers as a Predictor for Cardiac Outcomes: A Retrospective Single-Center Cohort Study.

Authors:  Song-Yun Chu; Jie Jiang; Yu-Ling Wang; Qin-Hui Sheng; Jing Zhou; Yan-Sheng Ding
Journal:  Front Cardiovasc Med       Date:  2021-06-25

10.  Applying sinus node function testing to evaluate perioperative management for patients suffering from tachycardia-bradycardia syndrome before atrial fibrillation ablation.

Authors:  Dan Han; Jianqing She; Chaofeng Sun; Hongbing Li
Journal:  Clin Case Rep       Date:  2019-11-17
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