Tofacitinib to Treat Severe Acute Refractory Colitis in a Teenager
Bibliographic record
Abstract
Acute severe colitis (ASC) may occur within 3 months of ulcerative colitis diagnosis in 9%-15% of children and the rate of colectomy is up to 40%-50% within 5 years after an ASC. The aim of this publication is to present recent and relevant data on the success of medical treatment with tofacitinib in ASC. Methods: We report a challenging case of a teenage boy with ASC at diagnosis and conduct a discussion after a review of the literature regarding the use of tofacitinib in inflammatory bowel disease, especially in pediatric patients and in ASC. Results: The patient was hospitalized for 10 weeks and was refractory to conventional therapies: intravenous corticosteroids, infliximab, methotrexate, and vedolizumab. He received 7 blood transfusions and also presented with a severe malnutrition requiring a total parenteral nutrition. Tofacitinib was considered as a medical last resort before colectomy and was started at week 8. Thirteen days after starting tofacitinib, he was asymptomatic and was discharged on tofacitinib as sole treatment. By week 9 of tofacitinib, a colonoscopy showed both endoscopic and histological remission. He has remained in clinical remission at 6-month follow-up. Conclusions: Tofacitinib may be an alternative medical treatment to avoid colectomy in ASC. It is a small molecule with a rapid onset and few severe adverse events. It has been used for ASC in adult patients, allowing to avoid colectomy in more than 60%. To our knowledge, this is one of the few pediatric patients with refractory ASC at initial diagnosis who responded to tofacitinib.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 teacher head, 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".