Literature DB >> 22451452

Distribution of first-detected atrial fibrillation patients without structural heart diseases in symptom classifications.

Keitaro Senoo1, Shinya Suzuki, Koichi Sagara, Takayuki Otsuka, Shunsuke Matsuno, Ryuichi Funada, Tokuhisa Uejima, Yuji Oikawa, Junji Yajima, Akira Koike, Kazuyuki Nagashima, Hajime Kirigaya, Hitoshi Sawada, Tadanori Aizawa, Takeshi Yamashita.   

Abstract

BACKGROUND: The characteristics and prognosis of patients with first-detected atrial fibrillation (AF) in Japan remain unclear. METHODS AND
RESULTS: First-detected AF patients without structural heart disease (n=289) were reviewed with regard to 2 symptom classifications (CCS-SAF and EHRA). In both classifications, asymptomatic patients comprised ≈40% of the patients, and patients in the most symptomatic class (≈6%) had peculiar characteristics and poor prognosis. In other symptomatic classes, symptoms affected the treatment strategy without a significant difference in the patients' backgrounds and prognosis.
CONCLUSIONS: This is the first report to describe the distribution, characteristics and outcomes of first-detected AF patients according to symptom classifications.

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Year:  2012        PMID: 22451452     DOI: 10.1253/circj.cj-12-0105

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  6 in total

1.  Perspectives on an ambulatory blood pressure monitoring device with novel technology for pulse waveform analysis to detect arrhythmias.

Authors:  Tomonori Watanabe; Naoko Tomitani; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-08-30       Impact factor: 3.738

2.  Use of a Smart Watch for Early Detection of Paroxysmal Atrial Fibrillation: Validation Study.

Authors:  Yohei Kawasaki; Tomohiko Inui; Hiroki Kohno; Kaoru Matsuura; Hideki Ueda; Yusaku Tamura; Michiko Watanabe; Yuichi Inage; Yasunori Yakita; Yutaka Wakabayashi; Goro Matsumiya
Journal:  JMIR Cardio       Date:  2020-01-22

3.  Diagnosis of Atrial Fibrillation Using Machine Learning With Wearable Devices After Cardiac Surgery: Algorithm Development Study.

Authors:  Daisuke Hiraoka; Tomohiko Inui; Eiryo Kawakami; Megumi Oya; Ayumu Tsuji; Koya Honma; Yohei Kawasaki; Yoshihito Ozawa; Yuki Shiko; Hideki Ueda; Hiroki Kohno; Kaoru Matsuura; Michiko Watanabe; Yasunori Yakita; Goro Matsumiya
Journal:  JMIR Form Res       Date:  2022-08-01

4.  Diagnostic accuracy of a new algorithm to detect atrial fibrillation in a home blood pressure monitor.

Authors:  Tomoyuki Kabutoya; Yasushi Imai; Satoshi Hoshide; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-09-01       Impact factor: 3.738

5.  Clinical implication of disturbed left atrial phasic functions in the heterogeneous population associated with hypertension or atrial fibrillation.

Authors:  Mengruo Zhu; Haiyan Chen; Yang Liu; Xianhong Shu
Journal:  Cardiovasc Ultrasound       Date:  2019-11-12       Impact factor: 2.062

6.  Assessment of a new algorithm to detect atrial fibrillation in home blood pressure monitoring device among healthy adults and patients with atrial fibrillation.

Authors:  Tomonori Watanabe; Naoko Tomitani; Nobuhiko Yasui; Tomoyuki Kabutoya; Satoshi Hoshide; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2021-02-01       Impact factor: 3.738

  6 in total

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