Deep learning-based NT-proBNP prediction from the ECG for risk assessment in the community.

Journal: Clinical chemistry and laboratory medicine
Published Date:

Abstract

OBJECTIVES: The biomarker N-terminal pro B-type natriuretic peptide (NT-proBNP) has predictive value for identifying individuals at risk for cardiovascular disease (CVD). However, it is not widely used for screening in the general population, potentially due to financial and operational reasons. This study aims to develop a deep-learning model as an efficient means to reliably identify individuals at risk for CVD by predicting serum levels of NT-proBNP from the ECG.

Authors

  • Meraj Neyazi
    Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Jan P Bremer
    Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.
  • Marius S Knorr
    Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.
  • Stefan Gross
    German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
  • Jan Brederecke
    Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Nils Schweingruber
    Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Dora Csengeri
    Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Benedikt Schrage
    Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.
  • Martin Bahls
    German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
  • Nele Friedrich
    German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
  • Tanja Zeller
    Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany.
  • Stephan Felix
    German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
  • Stefan Blankenberg
    Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.
  • Marcus Dörr
    Department of Internal Medicine B, Cardiology, Angiology & Pneumology, University Medicine of Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany.
  • Marcus Vollmer
  • Renate B Schnabel
    Department of Cardiology, University Heart and Vascular Center Hamburg, Hamburg, Germany.