Prediction of all-cause mortality in haemodialysis patients using a Bayesian network.

Journal: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
Published Date:

Abstract

BACKGROUND: All-cause mortality in haemodialysis (HD) is high, reaching 15.6% in the first year according to the European Renal Association.

Authors

  • Marleine Mefeugue Siga
    Hospices Civils de Lyon, Hôpital Edouard Herriot, Service de Néphrologie, Université Claude Bernard Lyon 1, Lyon, France.
  • Michel Ducher
    Pharmacie, Hospices Civils de Lyon, EMR3738 Ciblage thérapeutique en oncologie, Université Claude Bernard Lyon 1, Lyon, France.
  • Nans Florens
    Hospices Civils de Lyon, Hôpital Edouard Herriot, Service de Néphrologie, Université Claude Bernard Lyon 1, Lyon, France.
  • Hubert Roth
    Faculté de médecine, Université Grenoble Alpes, Domaine de la merci Place du Commandant Nal, La Tronche, France.
  • Nadir Mahloul
    Campus Sanofi Val de Bièvre, Gentilly, France.
  • Denis Fouque
    Department of Nephrology, Hospices Civils de Lyon, Centre Hospitalier Lyon-Sud, Pierre-Bénite, France.
  • Jean-Pierre Fauvel
    Hospices Civils de Lyon, Hôpital Edouard Herriot, Service de Néphrologie, Université Claude Bernard Lyon 1, Lyon, France.