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Record W4391162067 · doi:10.1093/ecco-jcc/jjad212.1138

P1008 Efficacy and safety of retreatment with upadacitinib after treatment interruption in ulcerative colitis: Data from the phase 3 open-label extension study U-ACTIVATE

2024· article· en· W4391162067 on OpenAlexaff
Remo Panaccione, Jean‐Frédéric Colombel, M Dubinsky, Tadakazu Hisamatsu, V Remple, A Garrison, Justin Klaff, Michelle Kujawski, Séverine Vermeire

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsUlcerative colitisMedicineOpen labelPhase (matter)Extension (predicate logic)ColitisPharmacologyInternal medicineGastroenterologyComputer scienceAdverse effectChemistry

Abstract

fetched live from OpenAlex

Abstract Background Upadacitinib (UPA) is an oral reversible Janus kinase (JAK) inhibitor designed to preferentially inhibit JAK1 approved for the treatment of moderately to severely active ulcerative colitis (UC). UPA may be temporarily discontinued for many reasons including adverse events (AEs) and lack of efficacy.1 As clinical consequences of discontinuing and restarting UPA are yet to be characterised, here, we assess the efficacy and safety of UPA retreatment in patients (pts) who lost response following UPA treatment withdrawal. Methods Pts with a clinical response to 8 weeks’ (wks) UPA 45 mg once daily (QD; UPA45) induction therapy in the Phase 3 U-ACHIEVE or U-ACCOMPLISH studies were re-randomised to placebo (PBO), UPA 15 mg QD (UPA15) or UPA 30 mg QD (UPA30) for the 52-wk maintenance phase of U-ACHIEVE. Pts randomised to PBO who lost response could enter the long-term extension (LTE), U-ACTIVATE, and be retreated with UPA15. Efficacy was analysed (i) at wk 4 of the LTE and (ii) at wk 48 of the LTE among pts with an inadequate response to UPA15 who dose escalated to UPA30 between wks 2 and 36. Exposure-adjusted event rates (EAERs) of treatment-emergent AE (TEAE) were assessed throughout. Results Of 223 pts with a clinical response to UPA45 induction randomised to PBO during maintenance, 112 (50.2%) lost response (mean [standard deviation (SD)] days to loss of response: 135.4 [84.6]) and 110 subsequently entered the LTE. Pts with loss of response vs those without were more likely to have a history of inadequate response, loss of response, or intolerance to ≥1 biologic (57.1% vs 46.8%, respectively) or corticosteroid use at baseline (42.0% vs 33.3%). After 4 wks of retreatment with UPA15, 75/108 (69.4%) and 39/108 (36.1%) pts achieved clinical response and remission, respectively (Figure A). In total, 38 (34.5%) pts dose escalated to UPA30 (mean [SD] days to escalation: 80.3 [57.8]); 30/31 (96.8%) and 22/31 (71.0%) achieved clinical response and remission at wk 48 of retreatment, respectively (Figure B). For safety during maintenance, 225 pts with 128.7 patient-years (PYs) of exposure (loss of response [n=112], 42.6 PYs; no loss of response [n=113], 86.1 PYs) were analysed. Generally, the EAERs of serious TEAEs were numerically lower in patients with vs without loss of response. However, patient years of exposure were low, restricting interpretation. During the LTE, EAERs were generally similar in pts who underwent dose escalation vs all pts. Conclusion In pts who experience loss of response following UPA withdrawal, efficacy can be recaptured following retreatment with UPA15 and UPA30. No new safety signals were identified. Reference 1. Sandborn WJ, et al. Gastroenterology. 2020;158(8):2139−2149.e14.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.099
GPT teacher head0.395
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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