P1260 Demographics and Clinical Characteristics of Inflammatory Bowel Disease in the Middle East and North Africa : A Multi-Nation Cross-sectional (MIRAGE) Study
Notice bibliographique
Résumé
Abstract Background Although inflammatory bowel disease (IBD) is more prevalent in Western countries, its incidence and prevalence have risen markedly in Asia and the Middle East [1,2]. Data on IBD patients from the Middle East and North Africa (MENA) region remain limited. This study aims to evaluate the demographic, clinical, and treatment patterns of IBD patients in the MENA region through the Middle East and North Africa IBD Research and Geographic Epidemiology (MIRAGE) study. Methods A cross-sectional, multi-national study was conducted at 10 IBD centers across six countries in the MENA region from January 1, 2022, to July 1, 2024. The primary objective was to assess IBD demographics, prevalence, and subtypes according to the Montreal classification. The secondary objective was to evaluate current IBD treatment strategies in the region. Categorical variable differences were analyzed using the Chi-squared test or Fisher’s exact test as appropriate. Results A total of 5,540 patients with inflammatory bowel disease (IBD) were included in the study. Of these, 2,824 (50.9%) were diagnosed with ulcerative colitis (UC), 2,602 (46.9%) with Crohn’s disease (CD), and 114 (2.0%) with IBD unclassified (IBD-U). In terms of gender distribution, 2,663 (48.1%) were male, and 2,877 (51.9%) were female. A total of 481 patients (8.7%) reported being smokers. Among the UC patients, disease extent was categorized as follows: 517 (18.3%) had E1 (proctitis), 1,123 (39.8%) had E2 (left-sided colitis), and 1,190 (42.1%) had E3 (pancolitis). For CD patients, disease location was distributed as: L1 (ileal) in 784 patients (30.13%), L2 (colonic) in 287 patients (11.02%), and L3 (ileocolonic) in 1,210 patients (46.50%). Disease behavior among CD patients included B1 (non-stricturing, non-penetrating) in 1,324 patients (50.9%), B2 (stricturing) in 693 patients (26.6%), and B3 (penetrating) in 647 patients (24.9%). Perianal disease was present in 708 CD patients (27.2%). Across the entire IBD cohort, 1,018 patients (18.38%) had undergone prior IBD-related surgeries, and 1,960 patients (35.38%) had experience with biologic therapies. (Table 1). The highest CD-to-UC ratio was observed in the Kingdom of Saudi Arabia (63% CD/35% UC), while the lowest ratio was seen in Oman (18% CD/80% UC) (Figure 1). Conclusion This study offers valuable insights into the demographic characteristics, clinical profiles, and treatment approaches for IBD patients in the MENA region, highlighting the rising prevalence of IBD in the region and the increasing utilization of advanced therapies. References 1.Hammer T, Langholz E. The epidemiology of inflammatory bowel disease: balance between East and West? A narrative review. Digestive Medicine Research. 2020 Dec 30;3. 2.Adam H, Alqassas M, Saadah OI, Mosli M. Extraintestinal manifestations of inflammatory bowel disease in middle eastern patients. Journal of Epidemiology and Global Health. 2020 Dec;10(4):298-303.
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».