First experiences with machine learning predictions of accelerated declining eGFR slope of living kidney donors 3 years after donation.

Journal: Journal of nephrology
PMID:

Abstract

BACKGROUND: Living kidney donors are screened pre-donation to estimate the risk of end-stage kidney disease (ESKD). We evaluate Machine Learning (ML) to predict the progression of kidney function deterioration over time using the estimated GFR (eGFR) slope as the target variable.

Authors

  • Leandra Lukomski
    Department of General, Visceral, Cancer and Transplant Surgery, Faculty of Medicine and University Hospital of Cologne, Kerpener Straße 62, 50937, Cologne, Germany. leandra.lukomski@uk-koeln.de.
  • Juan Pisula
    Data Science of Bioimages Lab, Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital of Cologne, University of Cologne, Robert-Koch-Straße 21, 50937, Cologne, Germany.
  • Tristan Wagner
    Department of General, Visceral, Cancer and Transplant Surgery, Faculty of Medicine and University Hospital of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
  • Andrii Sabov
    Institute for Diagnostics and Interventional Radiology, Faculty of Medicine and University Hospital of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
  • Nils Große Hokamp
    Faculty of Medicine and University Hospital Cologne, Institute for Diagnostic and Interventional Radiology, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany. Nils.Grosse-Hokamp@uk-koeln.de.
  • Katarzyna Bozek
    Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.
  • Felix Popp
    Department of General, Visceral, Tumour, and Transplantation Surgery, University Hospital of Cologne, Cologne, Germany.
  • Martin Kann
    Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
  • Christine Kurschat
    Department II of Internal Medicine and Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
  • Jan Ulrich Becker
    Institute of Pathology, University Hospital of Cologne, Cologne, Germany.
  • Christiane Bruns
    Department of General, Visceral, Cancer and Transplant Surgery, Faculty of Medicine and University Hospital of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.
  • Michael Thomas
    Department of Surgery, University of Cologne, Kerpener Str. 62, Cologne, 50937, Germany.
  • Dirk Stippel
    Department of General, Visceral, Cancer and Transplant Surgery, Faculty of Medicine and University Hospital of Cologne, Kerpener Straße 62, 50937, Cologne, Germany.