Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study.

Journal: Journal of the American Academy of Dermatology
Published Date:

Abstract

BACKGROUND: Psoriasis is associated with elevated risk of heart attack and increased accumulation of subclinical noncalcified coronary burden by coronary computed tomography angiography (CCTA). Machine learning algorithms have been shown to effectively analyze well-characterized data sets.

Authors

  • Eric Munger
    George Mason University, Fairfax, Virginia.
  • Harry Choi
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Amit K Dey
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Youssef A Elnabawi
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Jacob W Groenendyk
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Justin Rodante
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Andrew Keel
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Milena Aksentijevich
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Aarthi S Reddy
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Noor Khalil
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Jenis Argueta-Amaya
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Martin P Playford
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Julie Erb-Alvarez
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Xin Tian
    Cancer Hospital Chinese Academy of Medical Sciences (Shenzhen Hospital), Shenzhen, 518000, China. Electronic address: 947952187@qq.com.
  • Colin Wu
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Johann E Gudjonsson
    Department of Dermatology, University of Michigan, Ann Arbor, Michigan, USA.
  • Lam C Tsoi
    Department of Dermatology, University of Michigan Medical School, Ann Arbor, MI, USA. alextsoi@umich.edu.
  • Mohsin Saleet Jafri
    School of Systems Biology, George Mason University, Fairfax, VA, United States.
  • Veit Sandfort
    From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, Wis 53792-3252 (P.M.G., P.J.P.); and Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, Md (V.S., R.M.S.).
  • Marcus Y Chen
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Sanjiv J Shah
    Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • David A Bluemke
    From the Department of Radiology (B.A.-V.), Bloomberg School of Public Health (E.G.), and Department of Medicine, Cardiology and Radiology (J.A.C.L.), Johns Hopkins University, Baltimore, MD; George Washington University, DC (X.Y.); Office of Biostatistics, NHLBI, NIH, Bethesda, MD (C.O.W.); Department of Preventive Medicine, Northwestern University Medical School, Chicago, IL (K.L.); Department of Cardiology, Wake Forest University Health Sciences, Winston-Salem, NC (W.G.H.); Department of Biostatistics, University of Washington, Seattle (R.M.); Department of Radiology, UCLA School of Medicine, Los Angeles, CA (A.S.G.); Division of Epidemiology and Community Health, University of Minnesota, Minneapolis (A.R.F.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Radiology and Imaging Sciences, NIH Clinical Center, Bethesda, MD (D.A.B.).
  • Benjamin Lockshin
    DermAssociates, Silver Spring, Maryland.
  • Ahmed Hasan
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland.
  • Joel M Gelfand
    University of Pennsylvania, Philadelphia, Pennsylvania.
  • Nehal N Mehta
    National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: nehal.mehta@nih.gov.