Literature DB >> 29622460

Prevalence and clinical characteristics of obstructive- and central-dominant sleep apnea in candidates of catheter ablation for atrial fibrillation in Japan.

Takashi Kohno1, Takehiro Kimura2, Koichi Fukunaga3, Wakako Yamasawa4, Taishi Fujisawa2, Ryoma Fukuoka2, Kazuaki Nakajima2, Shin Kashimura2, Akira Kunitomi2, Yoshinori Katsumata2, Takahiko Nishiyama2, Nobuhiro Nishiyama2, Yoshiyasu Aizawa2, Keiichi Fukuda2, Seiji Takatsuki2.   

Abstract

INTRODUCTION: We aimed to study the prevalence and types of sleep apnea (SA) as well as their clinical characteristics in atrial fibrillation (AF) ablation candidates in Japan.
METHODS: Before catheter ablation, 197 consecutive AF patients (age: 60 ± 9 years, body mass index; 25.0 ± 3.0) were evaluated with portable polygraphy. We compared the clinical characteristics, according to the severity of SA as well as its types, as defined by the presence of obstruction and the mixed vs. central apnea indices.
RESULTS: The mean apnea-hypopnea index (AHI) was 17.7 ± 11.9, with 135 AF patients having an AHI ≥10 (68.5%). Patients with an AHI ≥10 had a significantly higher body mass index, plasma brain natriuretic peptide (BNP) level, prevalence of hypertension, and larger left atrial size. Among patients with an AHI ≥10, the incidence of obstructive-dominant SA was 60.9% and that of central-dominant SA was 7.6%. The prevalence of hypertension was significantly higher in obstructive-dominant SA patients (obstructive vs. central: 48.3% vs. 20.0%, P = 0.038). The obstructive apnea index correlated with plasma BNP level and age, but the central and mixed apnea indices did not.
CONCLUSIONS: The prevalence of SA was common in AF ablation candidates, even without an obesity epidemic, and the SA type was predominantly obstructive. Portable polygraphy was useful for detecting undiagnosed SA patients in AF ablation candidates.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Central sleep apnea; Obstructive sleep apnea; Portable polygraphy; Sleep apnea

Mesh:

Year:  2018        PMID: 29622460     DOI: 10.1016/j.ijcard.2018.01.103

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  7 in total

1.  Sudden Improvement in PAP Download Indices Without Treatment Change.

Authors:  Susheela Hadigal; Surina Sharma; Mary H Wagner; Scott Ryals; Richard B Berry
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2.  Atrial fibrillation is associated with central sleep apnea in clinic patients undergoing diagnostic polysomnography.

Authors:  Evan Kenneth Harmon; Patrick Stafford; Sami Ibrahim; Yeilim Cho; Sula Mazimba; Kenneth Bilchick; Gen-Min Lin; Seung-Jung Park; Sina Aliasghar Gharib; Vishesh K Kapur; Younghoon Kwon
Journal:  J Arrhythm       Date:  2020-09-03

3.  Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea.

Authors:  Huanhuan Wang; JianHua Li; Yinghui Gao; Kaibing Chen; Yan Gao; JingJing Guo; Min Shi; Xiao Zou; Weihao Xu; LiBo Zhao; Xiaofeng Su; Yabin Wang; Juan Liu; Hu Xu; Xiaoxuan Kong; Junling Lin; Xiaoshun Qian; Jiming Han; Lin Liu
Journal:  BMC Geriatr       Date:  2022-03-14       Impact factor: 3.921

Review 4.  A systematic review on the association of sleep-disordered breathing with cardiovascular pathology in adults.

Authors:  Anna Khokhrina; Elena Andreeva; Jean-Marie Degryse
Journal:  NPJ Prim Care Respir Med       Date:  2022-10-17       Impact factor: 3.289

Review 5.  Obstructive Sleep Apnea as a Cardiovascular Risk Factor-Beyond CPAP.

Authors:  Joshua M Bock; Soumya Vungarala; Shahid Karim; Virend K Somers
Journal:  Can J Cardiol       Date:  2021-02-19       Impact factor: 5.223

6.  Prevalence, risk factors, and type of sleep apnea in patients with paroxysmal atrial fibrillation.

Authors:  G M Traaen; B Øverland; L Aakerøy; T E Hunt; C Bendz; L Sande; S Aakhus; H Zaré; S Steinshamn; O G Anfinsen; J P Loennechen; L Gullestad; H Akre
Journal:  Int J Cardiol Heart Vasc       Date:  2019-12-19

7.  Endothelial dysfunction in obstructive sleep apnea patients.

Authors:  Michał Harańczyk; Małgorzata Konieczyńska; Wojciech Płazak
Journal:  Sleep Breath       Date:  2021-05-07       Impact factor: 2.816

  7 in total

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