Identification of key factors for malnutrition diagnosis in chronic gastrointestinal diseases using machine learning underscores the importance of GLIM criteria as well as additional parameters.

Journal: Frontiers in nutrition
Published Date:

Abstract

INTRODUCTION: Disease-related malnutrition is common but often underdiagnosed in patients with chronic gastrointestinal diseases, such as liver cirrhosis, short bowel and intestinal insufficiency, and chronic pancreatitis. To improve malnutrition diagnosis in these patients, an evaluation of the current Global Leadership Initiative on Malnutrition (GLIM) diagnostic criteria, and possibly the implementation of additional criteria, is needed.

Authors

  • Karen Rischmüller
    Division of Gastroenterology and Endocrinology, Department of Internal Medicine II, Rostock University Medical Center, Rostock, Germany.
  • Vanessa Caton
    Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.
  • Markus Wolfien
    Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.
  • Luise Ehlers
    Division of Gastroenterology and Endocrinology, Department of Internal Medicine II, Rostock University Medical Center, Rostock, Germany.
  • Matti van Welzen
    Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.
  • David Brauer
    Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.
  • Lea F Sautter
    Division of Gastroenterology and Endocrinology, Department of Internal Medicine II, Rostock University Medical Center, Rostock, Germany.
  • Fatuma Meyer
    Department of Agriculture and Food Sciences, Neubrandenburg Institute of Evidence-Based Nutrition (NIED), University of Applied Sciences Neubrandenburg, Neubrandenburg, Germany.
  • Luzia Valentini
    Department of Agriculture and Food Sciences, Neubrandenburg Institute of Evidence-Based Nutrition (NIED), University of Applied Sciences Neubrandenburg, Neubrandenburg, Germany.
  • Mats L Wiese
    Department of Medicine A, University Medicine Greifswald, Greifswald, Germany.
  • Ali A Aghdassi
    Department of Medicine A, University Medicine Greifswald, Greifswald, Germany.
  • Robert Jaster
    Division of Gastroenterology and Endocrinology, Department of Internal Medicine II, Rostock University Medical Center, Rostock, Germany.
  • Olaf Wolkenhauer
    Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.
  • Georg Lamprecht
    Division of Gastroenterology and Endocrinology, Department of Internal Medicine II, Rostock University Medical Center, Rostock, Germany.
  • Saptarshi Bej
    Department of Systems Biology and Bioinformatics, Institute of Computer Science, University of Rostock, Rostock, Germany.

Keywords

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