Prognostic significance of pulmonary arterial wedge pressure estimated by deep learning in acute heart failure.

Journal: ESC heart failure
Published Date: Apr 1, 2023

Abstract

AIMS: Acute decompensated heart failure (ADHF) presents with pulmonary congestion, which is caused by an increased pulmonary arterial wedge pressure (PAWP). PAWP is strongly associated with prognosis, but its quantitative evaluation is often difficult. Our prior work demonstrated that a deep learning approach based on chest radiographs can calculate estimated PAWP (ePAWP) in patients with cardiovascular disease. Therefore, the present study aimed to assess the prognostic value of ePAWP and compare it with other indices of haemodynamic congestion.

Authors

  • Yuki Saito
    Department of Rehabilitation Medicine, Hirosaki University, Graduate School of Medicine, Japan.
  • Yuto Omae
    Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Chiba, Japan.
  • Saki Mizobuchi
    Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Hidesato Fujito
    Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Masatsugu Miyagawa
    Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Daisuke Kitano
    Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Kazuto Toyama
    Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Daisuke Fukamachi
    Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.
  • Jun Toyotani
    Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Chiba, Japan.
  • Yasuo Okumura
    Division of Cardiology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.

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