Use of Steroid Profiling Combined With Machine Learning for Identification and Subtype Classification in Primary Aldosteronism.

Journal: JAMA network open
Published Date: Sep 1, 2020

Abstract

IMPORTANCE: Most patients with primary aldosteronism, a major cause of secondary hypertension, are not identified or appropriately treated because of difficulties in diagnosis and subtype classification. Applications of artificial intelligence combined with mass spectrometry-based steroid profiling could address this problem.

Authors

  • Graeme Eisenhofer
    Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Claudio Durán
    Biomedical Cybernetics Group, Biotechnology Center, Center for Molecular and Cellular Bioengineering, Center for Systems Biology Dresden, Department of Physics, Technische Universität Dresden, Dresden, Germany.
  • Carlo Vittorio Cannistraci
    Biomedical Cybernetics Group, Biotechnology Center, Center for Molecular and Cellular Bioengineering, Center for Systems Biology Dresden, Department of Physics, Technische Universität Dresden, Dresden, Germany.
  • Mirko Peitzsch
    Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Tracy Ann Williams
    Division of Internal Medicine and Hypertension, Department of Medical Sciences, University of Turin, Turin, Italy.
  • Anna Riester
    Medizinische Klinik und Poliklinik IV, Klinikum der Ludwig-Maximilians-Universität München, Munich, Germany.
  • Jacopo Burrello
    Division of Internal Medicine and Hypertension, Department of Medical Sciences, University of Turin, Turin, Italy.
  • Fabrizio Buffolo
    Division of Internal Medicine and Hypertension, Department of Medical Sciences, University of Turin, Turin, Italy.
  • Aleksander Prejbisz
    Department of Hypertension, Institute of Cardiology, Warsaw, Poland.
  • Felix Beuschlein
    Medizinische Klinik and Poliklinik IV, Ludwig-Maximilians-Universität München, Munich, Germany.
  • Andrzej Januszewicz
    Department of Hypertension, Institute of Cardiology, Warsaw, Poland.
  • Paolo Mulatero
    Division of Internal Medicine and Hypertension, Department of Medical Sciences, University of Turin, Turin, Italy.
  • Jacques W M Lenders
    Department of Internal Medicine III, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
  • Martin Reincke
    Medizinische Klinik und Poliklinik IV, Klinikum der Ludwig-Maximilians-Universität München, Munich, Germany.

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