A machine learning approach to stratify patients with hypermobile Ehlers-Danlos syndrome/hypermobility spectrum disorders according to disorders of gut brain interaction, comorbidities and quality of life.

Journal: Neurogastroenterology and motility
PMID: 39543811

Abstract

BACKGROUND: A high prevalence of disorders of gut-brain interaction (DGBI) exist in patients with hypermobile Ehlers-Danlos Syndrome (hEDS) and hypermobility spectrum disorders (HSD). However, it is unknown if clusters of hEDS/HSD patients exist which overlap with different DGBIs and whether this overlap influences presence of comorbidities and quality of life. We aimed to study these knowledge gaps.

Authors

  • Anisa Choudhary
    Centre for Neuroscience, Surgery and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Asma Fikree
    Centre for Neuroscience, Surgery and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • James K Ruffle
    Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, 26 Ashfield Street, London, E1 2AJ, UK.
  • Kazuya Takahashi
    Division of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan.
  • Olafur S Palsson
    Centre for Functional GI and Motility Disorders, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Imran Aziz
    Academic Department of Gastroenterology, Sheffield Teaching Hospitals and University of Sheffield, Sheffield, UK.
  • Qasim Aziz
    Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, 26 Ashfield Street, London, E1 2AJ, UK.

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