Decoding IBS: a machine learning approach to psychological distress and gut-brain interaction.

Journal: BMC gastroenterology
PMID:

Abstract

PURPOSE: Irritable bowel syndrome (IBS) is a diagnosis defined by gastrointestinal (GI) symptoms like abdominal pain and changes associated with defecation. The condition is classified as a disorder of the gut-brain interaction (DGBI), and patients with IBS commonly experience psychological distress. The present study focuses on this distress, defined from reports of fatigue, anxiety, depression, sleep disturbances, and performance on cognitive tests. The aim was to investigate the joint contribution of these features of psychological distress in predicting IBS versus healthy controls (HCs) and to disentangle clinically meaningful subgroups of IBS patients.

Authors

  • Astri J Lundervold
    Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway.
  • Julie E Billing
    Department of Biological and Medical Psychology, Universtity of Bergen, Bergen, 5020, Norway.
  • Birgitte Berentsen
    National Center for Functional Gastrointestinal Disorders, Department of Medicine, Haukeland University Hospital, Bergen, 5021, Norway.
  • Gülen A Lied
    National Center for Functional Gastrointestinal Disorders, Department of Medicine, Haukeland University Hospital, Bergen, 5021, Norway.
  • Elisabeth K Steinsvik
    National Center for Functional Gastrointestinal Disorders, Department of Medicine, Haukeland University Hospital, Bergen, 5021, Norway.
  • Trygve Hausken
    National Center for Functional Gastrointestinal Disorders, Department of Medicine, Haukeland University Hospital, Bergen, 5021, Norway.
  • Arvid Lundervold
    Mohn Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital, Norway; Neuroinformatics and Image Analysis Laboratory, Department of Biomedicine, University of Bergen, Norway; Department of Health and Functioning, Western Norway University of Applied Sciences, Norway. Electronic address: mfyal@uib.no.