P512 Efficacy of tofacitinib for the treatment of moderate-to-severe ulcerative colitis: real-world data
Bibliographic record
Abstract
Abstract Background A significant proportion of patients do not respond to therapy for moderate to severe ulcerative colitis (UC), including thiopurines, glucocorticoids, and antagonists to tumour necrosis factor-a and integrin. Tofacitinib, a Janus Kinase inhibitor, has emerged as an efficacious and safe treatment for moderate to severe ulcerative colitis. However, data on its real-life efficacy remains sparse. Methods We aimed to assess the rate of clinical response and clinical remission at 3 and 6 months after tofacitinib initiation. Secondary endpoints included the rate of biomarker normalisation, corticosteroids-free clinical remission and severe infections. We conducted a multi-centre retrospective observational study of adult patients with active UC started on tofacitinib from January 1, 2015 to October 1, 2019 at the McGill University Health Center and Hotel-Dieu de Lévis. A positive clinical response was defined as a decrease of ≥3 in the partial Mayo score. Clinical remission was defined as partial Mayo score of ≤2. Biomarker normalisation was defined as faecal calprotectin ≤250 μg/g. Severe infection was defined as an infection requiring hospitalisation. Results During the study period, 40 patients with UC were started on tofacitinib at 10 mg/kg twice a day. Amongst the patients, 85% (n = 34) had failed ≥1 biologic and 50% (n = 20) had failed ≥3 biologics. At the time of this preliminary analysis, 38 patients had undergone 3 months of treatment; 30 patients had undergone 6 months of treatment. At 3 months, a clinical response was seen in 89.5% of patients (n = 34) and clinical remission occurred in 63.2%(n = 24). At 6 months, clinical response occurred in 73.3% of patients (n = 22) and clinical remission was sustained in 53.33% (n = 16). Biochemical normalisation occurred in 29.0% (n = 11) and 30.0% (n = 9) at 3 and 6 months respectively. Additionally, 63.2% (n = 24) of patients and 43.3% (n = 13) of patients achieved steroid-free clinical remission at 3 and 6 months respectively. In the interim, one patient developed a serious infection requiring discontinuation of the drug. Conclusion Our preliminary analysis demonstrates that in a real-life setting, tofacitinib is an effective treatment for inducing clinical remission in refractory UC patients. Further data will be complied to better assess the efficacy over a longer follow-up.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".