Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis.

Journal: Circulation
PMID: 33845593

Abstract

BACKGROUND: Heart failure (HF) risk and the underlying risk factors vary by race. Traditional models for HF risk prediction treat race as a covariate in risk prediction and do not account for significant parameters such as cardiac biomarkers. Machine learning (ML) may offer advantages over traditional modeling techniques to develop race-specific HF risk prediction models and to elucidate important contributors of HF development across races.

Authors

  • Matthew W Segar
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Byron C Jaeger
    Kirklin Institute for Research in Surgical Outcomes, University of Alabama at Birmingham.
  • Kershaw V Patel
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
  • Vijay Nambi
    Department of Cardiology, Baylor College of Medicine, 77001, TX, USA.
  • Chiadi E Ndumele
    Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (C.E.N., E.D.M.).
  • Adolfo Correa
    Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA.
  • Javed Butler
    Department of Medicine, University of Mississippi Medical Center, Jackson, MS.
  • Alvin Chandra
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas (M.W.S., K.V.P., A.C., C.A., S.R., J.A.d.L., A.P.).
  • Colby Ayers
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas (M.W.S., K.V.P., A.C., C.A., S.R., J.A.d.L., A.P.).
  • Shreya Rao
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Alana A Lewis
    Division of Cardiology, Northwestern University, Chicago, IL (A.A.L.).
  • Laura M Raffield
    Department of Genetics, University of North Carolina, Chapel Hill (L.M.R.).
  • Carlos J Rodriguez
    Departments of Medicine, Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY (C.J.R.).
  • Erin D Michos
    Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Christie M Ballantyne
    Michael E. DeBakey Veterans Affairs Hospital and Baylor College of Medicine, Houston, TX (V.N., C.M.B.).
  • Michael E Hall
    Department of Medicine, University of Mississippi Medical Center, Jackson (A.C., J.B., M.E.H.).
  • Robert J Mentz
    Division of Cardiology, Duke University Medical Center, Durham, NC.
  • James A de Lemos
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas (M.W.S., K.V.P., A.C., C.A., S.R., J.A.d.L., A.P.).
  • Ambarish Pandey
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.

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