P22 Response to tofacitinib in British Asians with ulcerative colitis; a real world tertiary centre experience
Notice bibliographique
Résumé
<h3>Introduction</h3> We have previously shown UK South Asians (SA) with IBD are prescribed TNF antagonists earlier in disease course in comparison with white British (WB) patients, but are more likely to stop due to treatment failure (Gadhok 2020). However, it is currently unknown whether there is a similar variation in response to Tofacitinib, a non-selective JAK inhibitor. We aim to determine whether persistence to tofacitinib varies with ethnicity and evaluate real world efficacy in an inner-city tertiary referral centre. <h3>Methods</h3> Patients prescribed Tofacitinib since 2019 were identified from electronic prescribing records. The following data was collected: ethnicity (as per UK standard coding), disease history including Montreal classification of disease extent, prior advanced therapies, persistence on therapy, indication for cessation, side effects, and endoscopic and biochemical markers of disease activity. <h3>Results</h3> 30 adults with UC were prescribed tofacitinib, with a median duration of follow up of 833 days (n=31). 11 patients were female, and ethnicity was as follows: SA:11:Black:1:WB:12:Other/unstated:7. The median failure free survival was 447 days, with no significant variation associated with number of prior advanced therapies (1 prior biologic, 303.5 days (n=12) vs >1 prior biologic, 715 days (n=19) p=0.28). Comparison between characteristics and response to treatment of South Asian and White British patients, presented in table 1: There was no difference between median failure free survival of SA and WB patients (304 days vs 447 days, p=0.28). There was a trend towards lower primary non-response in SA patients, with fewer stopping treatment by 12 weeks, although this was not statistically significant (9.09% vs 33.33% p=0.17). No difference in disease duration at first prescription of tofacitinib between SA and WB patients was found (78.75 months vs 86.80 months p=0.78). 2 patients stopped treatment due to side effects, with 1 patient (SA) stopping due to MACE. <h3>Conclusion</h3> In contrast to our previous work on TNF antagonists, British SA patients prescribed tofacitinib for UC had failure free survival comparable with WB patients, with a trend towards fewer primary non responders. Although limited by sample size, these findings are reassuring given that SA patients are underrepresented in trials of novel therapies in IBD and warrants a larger study.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».