Improved prediction of sudden cardiac death in patients with heart failure through digital processing of electrocardiography.

Journal: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
Published Date: Mar 30, 2023

Abstract

AIMS: Available predictive models for sudden cardiac death (SCD) in heart failure (HF) patients remain suboptimal. We assessed whether the electrocardiography (ECG)-based artificial intelligence (AI) could better predict SCD, and also whether the combination of the ECG-AI index and conventional predictors of SCD would improve the SCD stratification among HF patients.

Authors

  • Yasuyuki Shiraishi
    Department of Cardiology, Keio University School of Medicine, 35 Shinanomachi Shinjuku-ku, Tokyo 160-8582, Japan.
  • Shinichi Goto
    Division of General Internal Medicine & Family Medicine, Department of General and Acute Medicine, Tokai University School of Medicine, Isehara, Japan.
  • Nozomi Niimi
    Department of Cardiology, Keio University School of Medicine, 35 Shinanomachi Shinjuku-ku, Tokyo 160-8582, Japan.
  • Yoshinori Katsumata
    Department of Cardiology, Keio University School of Medicine, Tokyo, Japan.
  • Ayumi Goda
    Department of Cardiovascular Medicine, Kyorin University Faculty of Medicine, Tokyo, Japan.
  • Makoto Takei
    Department of Cardiology, Saiseikai Central Hospital, Tokyo, Japan.
  • Mike Saji
    Department of Cardiology, Sakakibara Heart Institute, Tokyo, Japan.
  • Motoaki Sano
    Department of Cardiology, Keio University School of Medicine, Tokyo, Japan.
  • Keiichi Fukuda
    Department of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.
  • Takashi Kohno
    Department of Cardiovascular Medicine, Kyorin University Faculty of Medicine, Tokyo, Japan.
  • Tsutomu Yoshikawa
    Department of Cardiology, Sakakibara Heart Institute, Tokyo, Japan.
  • Shun Kohsaka
    Department of Cardiology, Keio University School of Medicine, Tokyo, Japan.

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