P518 Safety of upadacitinib in ulcerative colitis: Long-term data from the phase 3 open-label extension study (U-ACTIVATE)
Bibliographic record
Abstract
Abstract Background Upadacitinib (UPA), an oral reversible and selective JAK inhibitor, has demonstrated efficacy, with a well-characterised safety profile, in two replicate induction studies of UPA 45 mg once daily (QD; U-ACHIEVE induction and U-ACCOMPLISH), and a maintenance study of UPA 15 mg or UPA 30 mg QD (U-ACHIEVE maintenance).1 Here, we report safety data from the ongoing, Phase 3, open-label, 288-week long-term extension (LTE) study in patients with ulcerative colitis (UC) who previously participated in the induction studies. Methods Rates of treatment-emergent adverse events (TEAEs) and TEAEs of special interest were calculated by treatment sequence in patients who received ≥1 dose of UPA in the induction studies, maintenance study, or by the data cut-off of 13 December 2021 in the LTE study. Rates are presented as exposure-adjusted event rates (EAERs; events/100 patient-years [PYs]), except for events that typically occur as a single instance, which are presented as exposure-adjusted incidence rates (EAIRs; n/100 PYs). PYs were calculated from the first dose of UPA 45 mg received during induction through to the last UPA dose received or the data cut-off date for ongoing patients. Results Overall, 1,308 patients representing 2,350.2 PYs of UPA exposure were evaluated (mean age: 43 years; female: 38%). Across treatment groups, EAERs of serious TEAEs, severe TEAEs, TEAEs leading to UPA discontinuation, TEAEs with reasonable possibility of being related to UPA, or TEAEs leading to death were numerically similar across all UPA treatment sequences (Table 1). EAERs of serious infections, herpes zoster, neutropenia, hepatic disorder, and creatine phosphokinase elevation were numerically higher with UPA 15 mg and 30 mg vs placebo; and creatine phosphokinase elevation with UPA 30 mg vs UPA 15 mg (Table 2). The EAER of anaemia was numerically lower with UPA 30 mg vs UPA 15 mg and placebo. Of note, no remarkable differences were observed in EAIRs of adjudicated major adverse cardiovascular events, adjudicated venous thromboembolic events, or malignancy (excluding non-melanoma skin cancer). Conclusion: Long-term use of UPA 15 or 30 mg among patients with UC continuing to benefit from prolonged therapy representing 2,350.2 PYs of exposure was well tolerated. The ongoing safety profile of UPA is consistent with previous analyses, with no new safety signals identified compared with previous UC analyses following 52 weeks’ maintenance therapy,1,2 or other immune-mediated indications for which UPA is approved.3,4
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".