Machine Learning-Based Prediction of Myocardial Recovery in Patients With Left Ventricular Assist Device Support.

Journal: Circulation. Heart failure
Published Date: Jan 1, 2022

Abstract

BACKGROUND: Prospective studies demonstrate that aggressive pharmacological therapy combined with pump speed optimization may result in myocardial recovery in larger numbers of patients supported with left ventricular assist device (LVAD). This study sought to determine whether the use of machine learning (ML) based models predict LVAD patients with myocardial recovery resulting in pump explant.

Authors

  • Veli K Topkara
    Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Pierre Elias
    Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Rashmi Jain
    Department of Plant Pathology and Genome Center, University of California, Davis, Davis, California, USA.
  • Gabriel Sayer
    Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
  • Daniel Burkhoff
    Division of Cardiology Columbia University New York NY USA.
  • Nir Uriel
    Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.

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