A182 INFLAMMATORY BOWEL DISEASE AMONG SENIORS IN SASKATCHEWAN
Notice bibliographique
Résumé
Abstract Background Inflammatory bowel disease (IBD) is a chronic inflammatory condition comprised of two major disorders: ulcerative colitis (UC) and Crohn’s disease (CD).The age of onset for many patients with UC and CD is between 15 and 30 years, with a second peak between 50 and 80 years of age. Aims We aim to determine if there are differences in disease characteristics, outcomes, and IBD-related health care utilization between elderly patients with IBD diagnosed at a young age compared to those diagnosed later in life. Methods A retrospective chart review of elderly (age ≥ 60 years) patients with IBD was conducted.Patients aged ≥ 60 years who were seen at the Saskatchewan Multidisciplinary IBD Clinic at the Royal University Hospital from 2012 to 2020 were included. Information on demographics, disease characteristics, and access to IBD-related health care was collected. Patients were divided in two groups according to age of diagnosis: <60 and ≥ 60 years. Chi-squares were used to compare the groups. Charts with missing data were omitted in the final analysis. Three patients with indeterminant colitis were excluded from the analyses. Logistic regression models were built to obtain odds ratios (OR) with their corresponding 95% confidence intervals (95%CI) and considering potential confounders. Results In total, 264 patients were included in the study; 210(79.5%) diagnosed <60 and 54(20.5%) ≥ 60. The mean age of diagnosis was 47.21(SD=16.18), [<60=41.69(SD=13.25), ≥60=68.00(SD=6.264)].Cross tabulation (Table 2) of age of diagnosis and patient’s characteristics (sex, IBD type, and clinical remission at last visit, current use of biologics and steroids) confirmed lack of inter-variable significance. However, in the same analysis individuals diagnosed ≥ 60 were more likely to be on 5-ASA therapy compared to their counterparts diagnosed before the age of 60. Logistic regression model results demonstrated that: Patients diagnosed ≥ 60 years were 2.06 (1.12–3.80, 95% CI) times more likely to be using 5-ASA therapy.Patients in clinical remission were 3.04 (95% CI, 1.65–5.61) times more likely to be using biologic therapy. Conclusions Thus far, the results indicate significant correlation between use of 5-ASA in patients diagnosed age ≥60. In the same cohort, clinical remission was also linked to current use of biologics agents. On further analysis, with data stratification based on type of IBD, the same significance did not hold true, likely associated with low power within the stratified group. Clinical remission with those diagnosed ≥60 years while on biologics treatment, may reflect the specific disease type and inflammatory pathways responsible for second wave of IBD diagnosis in later ages.Patients diagnosed later in life were less likely to have IBD-related hospitalization or surgery, likely a reflection of shorted disease history. Funding Agencies NoneNone
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 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 ».