P484 Effectiveness and safety of ustekinumab in patients with Crohn’s disease: a real-world experience
Bibliographic record
Abstract
Abstract Background Ustekinumab is a monoclonal antibody against the p40 subunit of IL-12 and IL23 which has been proven efficacious and safe in clinical trials, yet, real-word effectiveness studies are lacking. We aimed to determine the effectiveness and safety of ustekinumab in Crohn’s disease patients in a usual care setting, as well as to identify factors that predict response to treatment. Methods This was a retrospective review of patients with Crohn’s disease who had received ustekinumab at McMaster University Medical Center between January 2017 and August 2019. The primary endpoints were 12-month rates of clinical response, clinical remission and endoscopic improvement (according to physician assessment). We also performed a multivariate logistic regression to determine independent predictors of treatment effectiveness. Key safety outcomes were rates of adverse events including infections. Results We included 123 patients with Crohn’s disease, 58.8% of which had ileocolonic disease. Of these patients, 79.5% had prior TNF-antagonist exposure and 17.1% had previously used vedolizumab. The 12-month rate of clinical response, clinical remission, and endoscopic improvement, were 88%, 35%, and 47% respectively. On univariable analyses, longer disease duration was associated with a lower likelihood of achieving endoscopic improvement (OR 0.91 per year of disease duration, 95% CI 0.84–0.99, p = 0.03). On multivariate logistic regression, concomitant steroid use (OR 0.34, 95% CI 0.12–0.99, p = 0.049) and previous vedolizumab exposure (OR 0.13, 95% 0.02–0.77) were significantly associated with less likelihood of achieving clinical response at 12 months. Adverse events occurred in 13% of patients and infections occurred in only 1% of patients. Conclusion Ustekinumab has been effective in our real-world experience at achieving clinical response, clinical remission and endoscopic improvement in patients with Crohn’s disease. We found that concomitant steroid use and prior vedolizumab exposure were associated with a lower likelihood of clinical response. Further prospective data are needed to understand whether these are truly predictors of lack of response, or represent confounding from patients with more refractory disease.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".