論文

2019年11月25日

Development of a Novel Algorithm to Detect Atrial Fibrillation Using an Automated Blood Pressure Monitor With an Irregular Heartbeat Detector.

Circulation journal : official journal of the Japanese Circulation Society
  • Makoto Ishizawa
  • Takahisa Noma
  • Takahiro Izumi
  • Ryosuke Tani
  • Tomoko Inoue
  • Eriko Nasu
  • Atsushi Tobiume
  • Yusuke Hasui
  • Shota Yokoyama
  • Hideyuki Hamaya
  • Shohei Ishikawa
  • Keiji Matsunaga
  • Ryo Kawakami
  • Kumi Konishi
  • Yuichi Miyake
  • Kaori Ishikawa
  • Teppei Tsuji
  • Kazushi Murakami
  • Naoki Nishimoto
  • Hiroyuki Kitajima
  • Tetsuo Minamino
  • 全て表示

83
12
開始ページ
2428
終了ページ
2433
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1253/circj.CJ-19-0349

BACKGROUND: Atrial fibrillation (AF), which contributes to an increased risk of stroke, frequently remains undetected, suggesting an unmet need for easier and more reliable AF screening. The reports on screening AF using an Omron blood pressure (BP) monitor with an irregular heartbeat (IHB) detector show inconsistent results, so the aim of this study was to develop a novel algorithm to accurately diagnose AF with 3 BP measurements using an Omron automated BP monitor with IHB detector.Methods and Results:In total, 303 general cardiac patients were included. Real-time single-lead ECG revealed AF in 44 patients. BP measurement was performed 3 times per patient using the Omron BP monitor HEM-907, and the number of IHBs detected was recorded. Based on these data, we developed the following algorithm: ≥1 IHB is detected during at least 2 of 3 BP measurements and the maximum number of IHBs detected is ≥2. Using this algorithm, we achieved a sensitivity of 95.5% and specificity of 96.5%, for diagnosing AF. CONCLUSIONS: The novel algorithm with 3 BP measurements using the Omron automated BP monitor with IHB detector showed high sensitivity and specificity for diagnosing AF in general cardiac patients.

リンク情報
DOI
https://doi.org/10.1253/circj.CJ-19-0349
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/31685781
ID情報
  • DOI : 10.1253/circj.CJ-19-0349
  • PubMed ID : 31685781

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