Leveraging pulse wave signal properties for coronary artery calcification screening in CKD patients.

Journal: Computers in biology and medicine
Published Date: Jun 6, 2025

Abstract

BACKGROUND AND AIMS: Chronic kidney disease (CKD) patients are particularly susceptible to coronary atherosclerosis, which can be assessed using computed tomography (CT)-based coronary artery calcium (CAC) score. However, such a costly examination might not always be required and cost-effective. This study investigates a novel screening approach utilizing pulse wave analysis combined with machine learning models to identify CKD patients at high risk for coronary atherosclerosis.

Authors

  • Urszula Bialonczyk
    Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland. ubialonczyk@ibib.waw.pl.
  • Leszek Pstras
    Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.
  • Malgorzata Debowska
    Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.
  • Lu Dai
    Department of School of Mechanical Engineering, Donghua University, Shanghai, People's Republic of China.
  • Abdul Rashid Qureshi
    Renal Medicine and Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
  • Magnus Söderberg
    Pathology, Drug Safety &Metabolism, IMED Biotech Unit, AstraZeneca, Pepparedsleden 1, 431 50 Mölndal, Sweden.
  • Torkel B Brismar
    Unit of Radiology, Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
  • Jonaz Ripsweden
    Unit of Radiology, Department of Clinical Sciences, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
  • Bengt Lindholm
    Renal Medicine and Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
  • Peter Stenvinkel
    Renal Medicine and Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.
  • Jan Poleszczuk
    Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.

Keywords

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