Machine Learning Improves Cardiovascular Risk Definition for Young, Asymptomatic Individuals.

Journal: Journal of the American College of Cardiology
PMID:

Abstract

BACKGROUND: Clinical practice guidelines recommend assessment of subclinical atherosclerosis using imaging techniques in individuals with intermediate atherosclerotic cardiovascular risk according to standard risk prediction tools.

Authors

  • Fatima Sanchez-Cabo
    Bioinformatics Unit, Fundación Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
  • Xavier Rossello
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Hospital Universitari Son Espases & Health Research Institute of the Balearic Islands (IdISBa), Mallorca, Spain. Electronic address: https://twitter.com/RosselloXavier.
  • Valentín Fuster
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; The Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, New York. Electronic address: vfuster@cnic.es.
  • Fernando Benito
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
  • Jose Pedro Manzano
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
  • Juan Carlos Silla
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
  • Juan Miguel Fernández-Alvira
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
  • Belén Oliva
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain.
  • Leticia Fernández-Friera
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; HM Hospitales-Centro Integral de Enfermedades Cardiovasculares HM CIEC, Madrid, Spain.
  • Beatriz López-Melgar
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; HM Hospitales-Centro Integral de Enfermedades Cardiovasculares HM CIEC, Madrid, Spain.
  • José María Mendiguren
    Banco de Santander, Madrid, Spain.
  • Javier Sanz
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; The Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, New York.
  • Jose María Ordovás
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; IMDEA Food Institute, CEI UAM + CSIC, Madrid, Spain; U.S. Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts.
  • Vicente Andrés
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain.
  • Antonio Fernández-Ortiz
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Hospital Clínico San Carlos, Madrid, Spain.
  • Héctor Bueno
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; Hospital Universitario 12 de Octubre, Madrid, Spain.
  • Borja Ibáñez
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; IIS-Fundación Jiménez Díaz Hospital, Madrid, Spain.
  • José Manuel García-Ruiz
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain; Hospital Universitario Central de Oviedo, Asturias, Spain.
  • Enrique Lara-Pezzi
    Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), Madrid, Spain; CIBER de enfermedades CardioVasculares (CIBERCV), Spain. Electronic address: elara@cnic.es.