P661 Ustekinumab in Crohn’s disease: A three-year multicentre prospective study from Hungary - Assessing efficacy, drug sustainability, and safety
Bibliographic record
Abstract
Abstract Background While randomized controlled trials have shown ustekinumab (UST) as an effective therapeutic option for Crohn’s disease (CD), there is a lack of long-term observational data in real-world CD patient settings. This prospective study seeks to evaluate the clinical effectiveness, sustainability, and safety of UST in a nationwide multicentre cohort of CD patients over three years. The aim is to bridge the gap in our understanding of UST's real-world implications for long-term CD management. Methods CD patients undergoing ustekinumab (UST) treatment were consecutively enrolled at nine Hungarian Inflammatory Bowel Disease centers from January 2019 to May 2020. Over a three-year period, comprehensive data on patient demographics, disease characteristics, treatment history, clinical disease activity (measured by the Harvey Bradshaw Index (HBI)), biomarkers, and endoscopic activity (evaluated using the Simple Endoscopic Score for Crohn’s Disease (SES-CD)) were systematically collected. Results Involving 148 patients, the cohort comprised 48.9% with complex behavior of CD and 97.2% with previous anti-TNF exposure. Pre-induction remission rates were observed at 12.2% (HBI) and 5.1% (SES-CD). Clinical remission rates (HBI) at the end of the first, second, and third years were 52.2%, 55.6%, and 50.9%, respectively. Criteria for endoscopic remission were met in 14.3%, 27.5%, and 35.3% of subjects at the end of the first, second, and third years. Dose intensification was notable, with 84.0% of patients on an 8-weekly and 29.9% on a 4-weekly regimen by the end of year 3. Throughout the follow-up period, drug sustainability stood at 76.9%, and no serious adverse events were observed. Conclusion Our study confirms that ustekinumab is a sustainable, effective, and safe long-term treatment for Crohn's disease patients with a severe disease phenotype and a history of high anti-TNF failure, with the need for frequent dose adjustments.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".