Development and validation of a machine learning-based approach to identify high-risk diabetic cardiomyopathy phenotype.

Journal: European journal of heart failure
PMID: 39240129

Abstract

AIMS: Abnormalities in specific echocardiographic parameters and cardiac biomarkers have been reported among individuals with diabetes. However, a comprehensive characterization of diabetic cardiomyopathy (DbCM), a subclinical stage of myocardial abnormalities that precede the development of clinical heart failure (HF), is lacking. In this study, we developed and validated a machine learning-based clustering approach to identify the high-risk DbCM phenotype based on echocardiographic and cardiac biomarker parameters.

Authors

  • Matthew W Segar
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Muhammad Shariq Usman
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Kershaw V Patel
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
  • Muhammad Shahzeb Khan
    Division of Cardiology, Duke University School of Medicine, Durham, NC, USA.
  • Javed Butler
    Department of Medicine, University of Mississippi Medical Center, Jackson, MS.
  • Lakshman Manjunath
    Department of Cardiology, Baylor Scott & White Medical Center, Dallas, TX, USA.
  • Carolyn S P Lam
    Duke-NUS Medical School, 8 College Rd, Singapore 169857, Singapore.
  • Subodh Verma
    St Michael's Hospital, University of Toronto, Toronto, ON, Canada.
  • Duwayne Willett
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
  • David Kao
    University of Colorado Anschutz Medical Campus and UCHealth CARE Innovation Center.
  • James L Januzzi
    Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
  • Ambarish Pandey
    Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.

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