WHICH IS IMPORTANT? GLUTEN FREE DIET OR INFLAMMATORY BOWEL DISEASE MEDICATIONS IN SUBJECTS WITH AN OVERLAP WITH CELIAC DISEASE AND INFLAMMATORY BOWEL DISEASE: OBSERVATIONS FROM A CASE SERIES AT A LARGE ACADEMIC CENTER
Notice bibliographique
Résumé
Abstract INTRODUCTION Celiac disease (CeD) and inflammatory bowel disease (IBD) are autoimmune diseases of the bowel with similar clinical symptoms. This study aims to characterize the clinical course of both diseases in subjects with overlap of CeD and IBD (CeD+IBD) on a gluten free diet (GFD) and IBD medications. METHODS We conducted a retrospective study of demographic and serological characteristics in subjects with CeD+ IBD at a large academic center using appropriate International Classification of Disease (ICD)-10 codes from 2017 to June 2022. RESULTS 36 subjects had IBD +CeD. 96% of subjects were Caucasian and 67% were female. The diagnosis of CeD post-dated the diagnosis of IBD by 3.6 years. Ulcerative colitis (UC) and Crohn’s disease (CD) occurred equally in IBD +CeD. About 75% of subjects had L2+L3, B1 phenotype per Montreal classification. 44% of UC +CeD subjects had pancolitis with 72% of them being classified as S0 (never severe) per Paris classification. 83% of subjects initiated a self-taught GFD. Only 17% of subjects sough advice from a celiac dietician. Mean duration at which GFD was initiated was 0.7 yrs from the initial diagnosis of CeD. Only 1/36 subjects followed a strict GFD during 6.5 years of follow up. The second and third assessment of GFD happened after a mean of 3.7 yrs and 5.2 yrs from the time of initiation of a GFD with only 1/36 subjects adhering to a strict GFD at these time points. Serum tTG IgA levels were tested on average at 4, 91, 154, 186 and 192 weeks from the diagnosis of CeD, with a consistent drop in mean tTG IgA titers to 45, 33, 19, 25 and 4 respectively. Only 1 subject got tTG IgA measurements over the next 250 weeks of follow up. Over a 10.1 year follow up since the diagnosis of IBD, descending proportions of subjects needing IBD medications were as follows: topical 5-ASA (aminosalicyates) (19/36)>oral steroids (18/36)> anti-TNF (tumor necrosis factor) (18/36)> anti-integrins (12/36)> azathioprine (10/36)> anti-IL12/23 (8/36)> topical 5-ASA (4/36)> MTX (methotrexate) (5/36)> topical steroids at 2/36. Mean time to initiation of IBD medications (in weeks) after GFD initiation as a reference point were in an order of oral 5-ASA (-67) < anti-TNF (-39) < AZA (-14) CONCLUSIONS Majority of subjects depended on a self-educated GFD. A small proportion of CeD +IBD subjects were assessed per clinical guidelines with respect to adherence to a GFD, serology. At least 50% of subjects with CeD+IBD needed escalation of IBD treatment to biologics and/or steroid rescue over 10 years despite initiation of GFD (albeit suboptimal). We need to further substantiate these findings with exclusive IBD and celiac control groups. We suggest establishing CeD centers at tertiary hospitals for adequate clinical guideline adherence.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».