P052 National Registration of Patients With Inflammatory Bowel Disease in Brazil on Behalf of GEDIIB
Notice bibliographique
Résumé
BACKGROUND: The IBD National Patient Registry is an initiative of the GEDIIB (Brazilian Study Group of Inflammatory Bowel Disease) who aims to survey the epidemiological profile of IBD patients through the creation of a centralized registry with data on patients monitored in public and private health services which will allow the planning of actions by the GEDIIB to facilitate the diagnosis and access to treatment of IBD, enabling the implementation of actions of the GEDIIB and the partnership with government agencies to improve care and, consequently, the quality of life of patients with IBD. This study aims to show the results of the IBD National Patient Registry. METHODS: A cohort study was performed. Data were collected from July 2020 to August 2021. Data were obtained from medical records and/or from patients during the regular follow-up visit and stored in pre-established records for further analysis. Only patients with an established diagnosis of CD and UC were included. The study was approved by the local ethical committees and all patients signed the consent form. RESULTS: In total, 797 patients were included, 60% with UC and 40% with CD; 52.9% from University Hospitals. The mean age was 44.75 ± 16.11 (12 - 92y), 59.9% female, 59.3% married, 76.4% Caucasian, 85.1% non-smokers, 30.5% completed higher education, 14.9% presented familial history of IBD. The age of onset of symptoms ranged from 3 - 79 years (32.94 ± 14.22) and 33.2% presented diarrhea as an initial manifestation. The age of diagnosis ranged from 4 - 81 years (35.07 ± 14.60) and the time from symptoms to diagnosis ranged from 1 to 2 years. The Montreal classification of CD patients were A1: 6.3%, A2: 59.9%, A3: 33.8%; L1: 38%, L2: 16.7%, L3: 43.9%, B1: 51.5%, B2: 27.8%, B3: 7.8%; perianal 12.8%. In UC, 47.8% presented pancolitis, 30.3% left-sided and 21.8% distal colitis. EIMs were present in 45.7% of patients, the most frequent being rheumatological 21.8%. Comorbidities were present in 72%, the most frequent were high blood pressure (15.3%) and diabetes (6.3%); 50% were with BMI > 25 Kg/m2. Most of the patients were in use of medical therapy (95.5%), of which 81.3% salicylate, 70.3% biological therapy, 49% immunosuppressor, 25.6% corticosteroid and 1.2% tofacitinib. Regarding biological therapy, the following medications were used: infliximab 47.6%, adalimumab 28.4%, vedolizumab 9.5%, ustekinumab 7.5%, certolizumab 2.2% and golimumab 1.3%. Eleven women used the medication during pregnancy. IBD surgery-related was performed in 69.7%, 77.2% abdominal and 22.8% perianal. Almost 30% performed more than one surgery. In 62% of patients, at least one complication was reported; most of them were infective disorders, demanding prolonged hospitalizations. CONCLUSION: To date, there is no IBD epidemiologic study covering the entire Brazilian territory. The results found with the registry will be fundamental to show the epidemiology of a country with continental dimensions such as Brazil. The greater the number of researchers included and from different regions of the country, the greater the representativeness of the data and may even help direct government actions on behalf of IBD patients.
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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».