Tofacitinib for Hospitalized Acute Severe Ulcerative Colitis Management (The TRIUMPH Study)
Bibliographic record
Abstract
Background: Tofacitinib is a rapidly acting Janus kinase (JAK) inhibitor with increasing evidence of effectiveness in patients with acute severe ulcerative colitis (ASUC). However, there are scarce prospective data analyzing the efficacy and rapidity of action in hospitalized ASUC. Methods: The TRIUMPH study is a prospective open-label interventional trial of tofacitinib in hospitalized patients with ASUC conducted in 5 hospitals across Canada (Clinicaltrials.gov: NCT04925973). Eligible participants included biologic-naïve and experienced patients with ASUC refractory to 3 days of intravenous (IV) corticosteroids (Modified Truelove-Witts Severity Index [MTWSI] > 10 despite steroids). Participants were treated with tofacitinib 10 mg twice daily and assessed daily while in hospital. The primary outcome was day 7 clinical response (MTWSI reduction of > 3 from baseline and ≤ 10). Results: Among 24 subjects, 33.3% (8/24) had previous anti-TNF failure. Day 7 clinical response was achieved in 58.3% (14/24). The mean number of days to achieve clinical response was 2.4 (SD 1.3). Marked reduction in C-reactive protein was observed in responders within the first two days after tofacitinib initiation compared to nonresponders. Colectomy occurred in 25% (6/24) by 6 months, with no additional colectomy beyond this time point. Five participants reported a total of 13 adverse events. Conclusions: Tofacitinib is an effective rescue therapy in hospitalized patients with steroid-refractory ASUC. Randomized controlled trials are warranted to compare JAK inhibitors with other rescue therapies, including infliximab in steroid-refractory ASUC (Clinicaltrials.gov: NCT04925973).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".