Integrating the STOP-BANG Score and Clinical Data to Predict Cardiovascular Events After Infarction: A Machine Learning Study.

Journal: Chest
Published Date: Apr 25, 2020

Abstract

BACKGROUND: OSA conveys worse clinical outcomes in patients with coronary artery disease. The STOP-BANG score is a simple tool that evaluates the risk of OSA and can be added to the large number of clinical variables and scores that are obtained during the management of patients with myocardial infarction (MI). Currently, machine learning (ML) is able to select and integrate numerous variables to optimize prediction tasks.

Authors

  • Oscar Calvillo-Argüelles
    Division of Cardiology, Peter Munk Cardiac Center, Toronto General Hospital, University Health Network, University of Toronto, Toronto, ON, Canada; Department of Clinical Cardiology, National Institute of Cardiology "Ignacio Chávez,", Mexico City, Mexico.
  • Carlos R Sierra-Fernández
    Acute Cardiovascular and Coronary Care Unit, National Institute of Cardiology "Ignacio Chávez,", Mexico City, Mexico.
  • Jorge Padilla-Ibarra
    Department of Clinical Cardiology, National Institute of Cardiology "Ignacio Chávez,", Mexico City, Mexico.
  • Hugo Rodriguez-Zanella
    Echocardiography Laboratory, National Institute of Cardiology "Ignacio Chávez," Mexico City, Mexico.
  • Karla Balderas-Muñoz
    Department of Clinical Cardiology, National Institute of Cardiology "Ignacio Chávez,", Mexico City, Mexico.
  • Maria Alexandra Arias-Mendoza
    Acute Cardiovascular and Coronary Care Unit, National Institute of Cardiology "Ignacio Chávez,", Mexico City, Mexico.
  • Carlos Martínez-Sánchez
    Acute Cardiovascular and Coronary Care Unit, National Institute of Cardiology "Ignacio Chávez,", Mexico City, Mexico.
  • Sharon Selmen-Chattaj
    Clinical Pharmacology Master Program, Faculty of Chemical Sciences, La Salle University. Mexico City, Mexico, Mexico City, Mexico.
  • Beatriz E Dominguez-Mendez
    Echocardiography Laboratory, National Institute of Cardiology "Ignacio Chávez," Mexico City, Mexico.
  • Pim van der Harst
    Department of Cardiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht 3584 CX, The Netherlands.
  • Luis Eduardo Juarez-Orozco
    Turku PET Centre, University of Turku and Turku University Hospital, Kiinamyllynkatu 4-8, 20520, Turku, Finland. l.e.juarez.orozco@gmail.com.

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