Literature DB >> 28823813

Clinical Impact of Asymptomatic Presentation Status in Patients With Paroxysmal and Sustained Atrial Fibrillation: The Fushimi AF Registry.

Masahiro Esato1, Yeong-Hwa Chun1, Yoshimori An2, Hisashi Ogawa2, Hiromichi Wada3, Koji Hasegawa3, Hikari Tsuji4, Mitsuru Abe2, Gregory Y H Lip5, Masaharu Akao6.   

Abstract

BACKGROUND: The clinical characteristics and outcomes of asymptomatic patients with paroxysmal or persistent/permanent atrial fibrillation (AF) are largely unknown.
METHODS: The Fushimi AF Registry is a community-based prospective survey of patients with AF who visited the participating medical institutions in Fushimi-ku, Japan. We investigated the clinical characteristics and outcomes of asymptomatic vs symptomatic patients in the paroxysmal AF (PAF; n = 1,837) and persistent/permanent (sustained atrial fibrillation [SAF]; n = 1,912) subgroups.
RESULTS: In the PAF group, asymptomatic patients were older (asymptomatic vs symptomatic group, 74.1 vs 71.1 years of age; P < .01), more often male (62.1% vs 55.6%; P < .01), and had a higher CHA2DS2-VASc (congestive heart failure, hypertension, age ≥ 75 years, diabetes mellitus, history of stroke, vascular disease, age 65-74 years, and female sex) score (mean, 3.37 ± 1.73 vs 2.99 ± 1.63; P < .01), whereas the prevalence of major co-morbidities and CHA2DS2-VASc scores were comparable in the SAF group. Multivariable analysis indicated that age (≥ 75 years), history of stroke/systemic embolism, male sex, and chronic kidney disease were independent determinants of asymptomatic status in the PAF group, whereas age was nonsignificant in the SAF group. During the follow-up period, all-cause mortality was significantly higher (hazard ratio, 1.71 [95% CI, 1.31-2.29]; P < .01) in asymptomatic patients compared with symptomatic patients in the PAF group, whereas it was comparable in the SAF group.
CONCLUSIONS: Asymptomatic clinical status is associated with older age, male sex, more co-morbidities with a higher stroke risk profile, and a higher incidence of all-cause death in patients with PAF; these characteristics and outcomes were not seen in the SAF group. TRIAL REGISTRY: UMIN Clinical Trials Registry; No.: UMIN000005834; URL: www.umin.ac.jp/ctr/index.htm.
Copyright © 2017 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  asymptomatic atrial fibrillation; paroxysmal atrial fibrillation; sustained atrial fibrillation

Mesh:

Year:  2017        PMID: 28823813     DOI: 10.1016/j.chest.2017.08.004

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  7 in total

1.  Diagnostic accuracy of an algorithm for detecting atrial fibrillation in a wrist-type pulse wave monitor.

Authors:  Tomoyuki Kabutoya; Shinichi Takahashi; Tomonori Watanabe; Yasushi Imai; Kazuhiro Uemoto; Nobuhiko Yasui; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-08-17       Impact factor: 3.738

2.  New-onset Heart Failure With Atrial Fibrillation: A Distinct Type of Cardiomyopathy?

Authors:  Vinay Mehta; Alexander Albers; Maharaj Singh; Ana Cristina Perez Moreno; Timothy E Paterick
Journal:  J Atr Fibrillation       Date:  2021-04-30

3.  The influence of atrial fibrillation on the mortality of incident ESRD patients undergoing maintenance hemodialysis.

Authors:  Hui-Ling Hsieh; Shih-Chang Hsu; Ho-Shun Cheng; Chun-You Chen; Wen-Cheng Huang; Yuh-Mou Sue; Feng-Yen Lin; Chun-Ming Shih; Jaw-Wen Chen; Shing-Jong Lin; Po-Hsun Huang; Chung-Te Liu
Journal:  PLoS One       Date:  2020-01-30       Impact factor: 3.240

4.  Acceleration of opportunistic atrial fibrillation screening for elderly patients in routine primary care.

Authors:  Akifumi Suzuki; Tomonori Okamura; Masahiro Sasaki; Hitoshi Matsuoka; Yoshinobu Ikeda; Akira Takahashi; Sayako Akiyama; Fumiko Ono; Nariaki Yoshihara
Journal:  PLoS One       Date:  2020-12-30       Impact factor: 3.240

5.  Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics Analysis.

Authors:  Liang Liu; Yun Yu; Long-Long Hu; Quan-Bin Dong; Feng Hu; Ling-Juan Zhu; Qian Liang; Ling-Ling Yu; Hui-Hui Bao; Xiao-Shu Cheng
Journal:  Med Sci Monit       Date:  2021-03-20

6.  Prediction of atrial fibrillation using a home blood pressure monitor with a high-resolution system.

Authors:  Yasunaga Hiyoshi; Hidenobu Hashimoto; Takayuki Kabuki; Mikihito Toda; Harumizu Sakurada
Journal:  Open Heart       Date:  2022-09

7.  Stroke Severity and Outcomes in Patients With Newly Diagnosed Atrial Fibrillation.

Authors:  Kotaro Watanabe; Shuhei Okazaki; Takaya Kitano; Shintaro Sugiyama; Mariko Ohara; Hideaki Kanki; Tsutomu Sasaki; Manabu Sakaguchi; Hideki Mochizuki; Kenichi Todo
Journal:  Front Neurol       Date:  2021-06-29       Impact factor: 4.003

  7 in total

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