P189 Prospective Validation Study Regarding Disease Complications of the Toronto IBD Global Endoscopic Reporting (TIGER) Score in Ulcerative Colitis and Crohn’s Disease Patients
Notice bibliographique
Résumé
Abstract Background The recently developed TIGER endoscopy score was established to reliably describe disease severity as it can be utilized for both Ulcerative Colitis (UC) and Crohn’s disease (CD) patients.1 The aim of this study was to assess the TIGER score’s ability to predict outcomes regarding complications such as surgeries, hospitalizations, and drug or disease-related side effects in a sample of both UC and CD patients. Methods A cohort of 78 patients with UC (n=40) and CD (n=38) were included in a 52-week multiple visit prospective study. Each visit included patient interviews, IBD disk questionnaire, blood draws for C-reactive protein (CRP), and fecal calprotectin (FC). Endoscopy was performed at baseline. Baseline total TIGER scores were dichotomized as <100 (remission-mild activity) or ≥100 (moderate-severe activity) as a predictor of complications such as surgeries, hospitalizations, and side effects. Results At baseline, compared to patients with TIGER scores <100, UC patients with TIGER scores ≥100 had significantly higher CRP, FC, and IBD disk. In CD patients, at baseline, compared to patients with TIGER scores <100, patients with TIGER scores ≥100 had significantly higher CRP, FC, and IBD disk. In terms of hospitalizations, at 52-weeks, compared to patients with baseline TIGER scores <100, UC and CD patients with baseline TIGER scores ≥100 had a significantly increased likelihood of being hospitalized (p<0.02). More specifically, at 52-weeks, 38.5% and 34.5% of UC and CD patients with baseline TIGER scores ≥100 experienced at least one disease-related hospitalization, respectively. Comparatively, there were zero hospitalizations in UC or CD patients with baseline TIGER scores <100. In terms of surgeries, at 52-weeks, 0% and 11.1% of UC and CD patients with baseline TIGER scores <100 had surgery compared to 3.9% and 24.1% of UC and CD patients with baseline TIGER scores ≥100, respectively. In terms of side effects, at 52-weeks, compared to patients with baseline TIGER scores <100, UC and CD patients with baseline TIGER scores ≥100 had a significantly increased likelihood of reporting a side effect from both medications and the disease (p<0.006). More specifically, 0% and 11.1% of UC and CD patients with baseline TIGER scores <100 reported medication and disease side effects compared to 11.5% and 19.2% of UC and CD patients with baseline TIGER scores ≥100, respectively. Conclusion The TIGER endoscopic score demonstrates significant association with CRP, FC and IBD disk in both UC and CD patients. Moreover, the TIGER score can be utilized as a measure to predict the likelihood of UC and CD patients with moderate-to-severe disease burden experiencing a disease complications. 1. Zittan E, et al. J Crohns Colitis 2022;16:544-553.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».