Identifying key predictors of mortality in young patients on chronic haemodialysis-a machine learning approach.

Journal: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
PMID: 32510143

Abstract

BACKGROUND: The mortality risk remains significant in paediatric and adult patients on chronic haemodialysis (HD) treatment. We aimed to identify factors associated with mortality in patients who started HD as children and continued HD as adults.

Authors

  • Verena Gotta
    Pediatric Pharmacology and Pharmacometrics, University of Basel Children's Hospital, Basel, Switzerland.
  • Georgi Tancev
    Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland.
  • Olivera Marsenic
    Pediatric Nephrology, Stanford University School of Medicine, Lucile Packard Children's Hospital, Stanford, CA, USA.
  • Julia E Vogt
  • Marc Pfister
    Division of Paediatric Pharmacology and Pharmacometrics, University of Basel Children's Hospital (UKBB), Basel, Switzerland.

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