Ustekinumab for the treatment of refractory pediatric Crohn’s disease: a single-center experience
Bibliographic record
Abstract
BACKGROUND/AIMS: Despite the well-established efficacy of tumor necrosis factor (TNF) antagonists as treatment options for Crohn's disease, many pediatric patients need a change in therapy due to adverse events and loss of response, highlighting the necessity for medications with a different mechanism of action. Ustekinumab has been shown to be effective in inducing clinical remission in some adults with disease refractory to anti-TNF agents, however, minimal data exists in the pediatric population. METHODS: We conducted a retrospective chart review of 11 pediatric patients receiving ustekinumab, specifically extracting baseline data, information on prior treatment and response, indications for starting ustekinumab, clinical information, and laboratory parameters pre- and post-therapy. Clinical response was defined as a decrease in abbreviated Pediatric Crohn's Disease Activity Index score. RESULTS: Patients ranged from 12 to 17 years of age upon initiation of treatment with ustekinumab. Five of 11 patients demonstrated a clinical response. Among these patients, 2 remained in clinical remission, while the remaining 3 experienced a secondary loss of response. The other 6 patients were primary nonresponders who either remained unwell or demonstrated slight clinical worsening. All patients who clinically responded to ustekinumab and had an initially elevated CRP experienced complete normalization of their values. Mucosal healing was seen on endoscopy in 1 responder, with 2 other patients showing endoscopic improvement. CONCLUSIONS: These results demonstrate for the first time that ustekinumab has the potential to induce not only clinical and biochemical remission, but also endoscopic improvement, in the pediatric population. Future research is needed to determine factors that influence response to therapy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".