Forecasting of Patient-Specific Kidney Transplant Function With a Sequence-to-Sequence Deep Learning Model.

Journal: JAMA network open
PMID: 34967877

Abstract

IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eGFR) after kidney transplant are characterized by intra-individual variability. These fluctuations hamper the distinction between alarming graft functional deterioration or harmless fluctuation within the patient-specific expected reference range of eGFR.

Authors

  • Elisabet Van Loon
    Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium.
  • Wanqiu Zhang
    ESAT STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
  • Maarten Coemans
    Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium.
  • Maarten De Vos
    STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics-Department of Electrical Engineering (ESAT), KU Leuven, Leuven, Belgium. maarten.devos@kuleuven.be.
  • Marie-Paule Emonds
    Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium.
  • Irina Scheffner
    Department of Nephrology, Hannover Medical School, Hannover, Germany.
  • Wilfried Gwinner
    Department of Nephrology, Hannover Medical School, Hannover, Germany.
  • Dirk Kuypers
    Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium.
  • Aleksandar Senev
    Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium.
  • Claire Tinel
    Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium.
  • Amaryllis H Van Craenenbroeck
    Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven, Belgium.
  • Bart De Moor
  • Maarten Naesens
    Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.

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