Literature DB >> 31685781

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

Makoto Ishizawa1, Takahisa Noma1, Takahiro Izumi1, Ryosuke Tani1, Tomoko Inoue1, Eriko Nasu1, Atsushi Tobiume1, Yusuke Hasui1, Shota Yokoyama1, Hideyuki Hamaya1, Shohei Ishikawa1, Keiji Matsunaga1, Ryo Kawakami1, Kumi Konishi1, Yuichi Miyake1, Kaori Ishikawa1, Teppei Tsuji1, Kazushi Murakami1, Naoki Nishimoto2, Hiroyuki Kitajima3, Tetsuo Minamino1.   

Abstract

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.

Entities:  

Keywords:  Algorithms; Atrial fibrillation; Blood pressure monitors; Irregular heartbeats

Mesh:

Year:  2019        PMID: 31685781     DOI: 10.1253/circj.CJ-19-0349

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


  1 in total

1.  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
  1 in total

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