P605 Real life efficacy of tofacitinib in different situation in ulcerative colitis: a retrospective worldwide multicentre collaborative study
Bibliographic record
Abstract
Abstract Background The orally administered small molecule drug pan-Jak inhibitor tofacitinib (TFB) appears to be effective in the treatment of ulcerative colitis (UC), however, available real world studies are limited by the cohort size. In addition, TFB may also be efficacious in patients with acute severe colitis (ASUC) as a rescue therapy. We aimed to conduct an international cohort study, to investigate the efficacy and safety of TFB in patients with moderate to severe colitis and ASUC. Methods This was a retrospective, international multi-centre, cohort study including 23 tertiary referral centres. UC patients with at least 6 weeks of TFB treatment were included. Physicians categorized the indication as rescue therapy (RT) and chronic activity (CA). Baseline demographic and clinical data, clinical/endoscopic activity indexes, laboratory parameters (including CRP, faecal calprotectin, liver enzymes, lipids, iron homeostasis), adverse events, and hospitalization/colectomy rates were collected at w0, w2-6, w8-14, w22-30 and w48-56 intervals. Steroid-free remission, colectomy rates, primary non-response (PNR) and loss-of response (LOR) rates, and safety was studied. Results A total of 391 UC patients (mean age: 39.2±14.1 years, male/female ratio 208/183; mean follow-up period 33.7±18.1 weeks) were included. 107 patients (27.4%) received TFB as a rescue therapy. Most of the patients received it as a third line treatment (37.4%). Steroid-free remission (SFR) rates were 21.3% (RT: 25.0%, CA: 22.3%) at w14, and 40.1% (RT: 32.5%, CA: 42.2%) at w52. In total, baseline pMayo (OR: 0.856; p=0.007) was negatively associated with w12 SFR, while line of treatment (OR: 0.749; p=0.047) and age (OR: 1.022; p=0.038) influenced the w52 SFR in the CA group. The w12 colectomy rate was 5.1%, and no difference was observed between groups (RT: 8.5%; CA: 3.8%), however, w52 colectomy rate was higher in the RT group (19.2% compared to 5.9%; p<0.001). Line of treatment (OR: 1.66; p=0.036) and age (OR: 0.94; p=0.005) were associated as well with w52 colectomy rate. Mucosal healing (eMayo≤1) rate increased from 3.9% to 43.0% (p<0.001). PNR rate was 22.5% and LOR 54.4%. In total, 67 adverse events (17.1%) were reported, and 17.9% of them were resulted in cessation of the treatment. Thromboembolic event was reported in 1 case, however, this patient had concomitant malignancy. Conclusion TFB is effective in both moderate to severe UC, and in patients with ASUC as a rescue therapy. TFB treatment resulted in high rates of SFR and mucosal healing in short- and long term even after anti-TNF and vedolizumab failure. Higher baseline disease activity and number of previous biological therapies negatively influenced efficacy. Serious adverse events were rare.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".