Prediction of Incident Atrial Fibrillation in Chronic Kidney Disease: The Chronic Renal Insufficiency Cohort Study.

Journal: Clinical journal of the American Society of Nephrology : CJASN
PMID:

Abstract

BACKGROUND AND OBJECTIVES: Atrial fibrillation (AF) is common in CKD and associated with poor kidney and cardiovascular outcomes. Prediction models developed using novel methods may be useful to identify patients with CKD at highest risk of incident AF. We compared a previously published prediction model with models developed using machine learning methods in a CKD population.

Authors

  • Leila R Zelnick
    Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, Washington.
  • Michael G Shlipak
    Kidney Health Research Collaborative, San Francisco VA Medical Center, University of California, San Francisco, CA, USA.
  • Elsayed Z Soliman
    9 Epidemiological Cardiology Research Center Department of Epidemiology and Prevention Wake Forest School of Medicine Winston Salem NC.
  • Amanda Anderson
    Department of Epidemiology, Tulane University, New Orleans, Louisiana.
  • Robert Christenson
    Department of Medicine, University of Maryland, Baltimore, Maryland.
  • James Lash
    Division of Nephrology, University of Illinois-Chicago, Chicago, Illinois.
  • Rajat Deo
    Departments of Medicine and Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Panduranga Rao
    Department of Internal Medicine, Division of Nephrology, University of Michigan, Ann Arbor, Michigan.
  • Farsad Afshinnia
    Department of Medicine, Division of Nephrology, University of Michigan, Oakland, California.
  • Jing Chen
    Department of Vascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China.
  • Jiang He
    Cardiovascular Medicine Department, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
  • Stephen Seliger
    Department of Medicine, University of Maryland, Baltimore, Maryland.
  • Raymond Townsend
    Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Debbie L Cohen
    Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Alan Go
    Division of Nephrology, University of Washington, Seattle, Washington.
  • Nisha Bansal
    Kidney Research Institute and Division of Nephrology, University of Washington, Seattle, Washington.