Diagnostic classification systems for disorders of gut-brain interaction should include psychological symptoms.

diagnosis disorders of gut brain interaction latent profile model psychological traits

Journal

Neurogastroenterology and motility
ISSN: 1365-2982
Titre abrégé: Neurogastroenterol Motil
Pays: England
ID NLM: 9432572

Informations de publication

Date de publication:
25 Oct 2024
Historique:
received: 25 07 2024
accepted: 24 09 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 25 10 2024
Statut: aheadofprint

Résumé

The group of disorders known as Disorders of Gut Brain Interaction (DGBI) were originally labeled functional GI disorders and were thought to be disorders of the gastrointestinal tract that had several psychological conditions as comorbidities. Despite mounting evidence that psychological morbidity plays an innate role in the etiology and maintenance of DGBI, none of the Rome IV criteria include any measure of psychological symptoms. This study tested the hypothesis that individuals would cluster differently if GI symptoms alone were considered versus GI symptoms combined with measures of psychological symptoms. Data were obtained from the Rome Foundation Global Epidemiology Study measuring Rome IV GI symptoms, psychological measures and demographic characteristics. Latent profile models were used to cluster individuals based on (i) GI symptoms only (GI only) and then (ii) GI and psychological measures (GI + Psych). Individuals clustering into the same group of individuals whether formed via GI only or GI + Psych, ranged from 96% for a 2-class solution (the most simplistic) to 76% with 6 classes (the parsimonious system) and 59% with twenty-two classes (mimicking Rome IV). The generalisability of this finding between six geographic regions was confirmed with agreement varying between 95%-97% for 2 clusters and 71-79% for 6 classes and 51%-63% for 22 classes. These findings were also consistent between DGBI (range 94% with 2 classes to 50% with 22 classes) and non-DGBI (range 97% with 2 clusters to 65% with 22 classes) groups. Our data suggest that considering psychological as well as gastrointestinal symptoms would lead to a different clustering of individuals in more complex, and accurate, classification systems. For this reason, future work on DGBI classification should consider inclusion of psychological traits.

Sections du résumé

BACKGROUND AND AIMS OBJECTIVE
The group of disorders known as Disorders of Gut Brain Interaction (DGBI) were originally labeled functional GI disorders and were thought to be disorders of the gastrointestinal tract that had several psychological conditions as comorbidities. Despite mounting evidence that psychological morbidity plays an innate role in the etiology and maintenance of DGBI, none of the Rome IV criteria include any measure of psychological symptoms. This study tested the hypothesis that individuals would cluster differently if GI symptoms alone were considered versus GI symptoms combined with measures of psychological symptoms.
METHODS METHODS
Data were obtained from the Rome Foundation Global Epidemiology Study measuring Rome IV GI symptoms, psychological measures and demographic characteristics. Latent profile models were used to cluster individuals based on (i) GI symptoms only (GI only) and then (ii) GI and psychological measures (GI + Psych).
KEY RESULTS RESULTS
Individuals clustering into the same group of individuals whether formed via GI only or GI + Psych, ranged from 96% for a 2-class solution (the most simplistic) to 76% with 6 classes (the parsimonious system) and 59% with twenty-two classes (mimicking Rome IV). The generalisability of this finding between six geographic regions was confirmed with agreement varying between 95%-97% for 2 clusters and 71-79% for 6 classes and 51%-63% for 22 classes. These findings were also consistent between DGBI (range 94% with 2 classes to 50% with 22 classes) and non-DGBI (range 97% with 2 clusters to 65% with 22 classes) groups.
CONCLUSIONS & INFERENCES CONCLUSIONS
Our data suggest that considering psychological as well as gastrointestinal symptoms would lead to a different clustering of individuals in more complex, and accurate, classification systems. For this reason, future work on DGBI classification should consider inclusion of psychological traits.

Identifiants

pubmed: 39450680
doi: 10.1111/nmo.14940
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e14940

Informations de copyright

© 2024 John Wiley & Sons Ltd.

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Auteurs

Michael P Jones (MP)

School of Psychological Sciences, Macquarie University, North Ryde, New South Wales, Australia.

Gerald J Holtmann (GJ)

Department of Gastroenterology and Hepatology, Princess Alexandra Hospital and Translational Research Institute (TRI), Woolloongabba, Queensland, Australia.

Jan Tack (J)

Faculty of Medicine, KU Leuven, Leuven Department of Gastroenterology, University Hospitals Leuven, Leuven, Belgium.

Florencia Carbonne (F)

Faculty of Medicine, KU Leuven, Leuven Department of Gastroenterology, University Hospitals Leuven, Leuven, Belgium.

William Chey (W)

Division of Gastroenterology, University of Michigan, Ann Arbor, Michigan, USA.

Natasha Koloski (N)

Department of Gastroenterology and Hepatology, Princess Alexandra Hospital and Translational Research Institute (TRI), Woolloongabba, Queensland, Australia.

Ayesha Shah (A)

Department of Gastroenterology and Hepatology, Princess Alexandra Hospital and Translational Research Institute (TRI), Woolloongabba, Queensland, Australia.

Shrikant I Bangdiwala (SI)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada.

Ami D Sperber (AD)

Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel.

Olafur S Palsson (OS)

Center for Functional GI & Motility Disorders, University of North Carolina- Chapel Hill, Chapel Hill, North Carolina, USA.

Nicholas J Talley (NJ)

Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia.

Classifications MeSH