POS0835 LONG-TERM SAFETY AND EFFICACY OF UPADACITINIB IN PATIENTS WITH PSORIATIC ARTHRITIS: 5-YEAR RESULTS FROM THE PHASE 3 SELECT-PsA 1 STUDY
Bibliographic record
Abstract
Background: Treatment with upadacitinib (UPA), an oral JAK inhibitor, in patients with active PsA and an inadequate response or intolerance to ≥ 1 non-biologic DMARD led to improvements in the signs and symptoms of PsA at week 12 (primary publication) [1] through week 104 (2-year long-term extension) [2] and week 152 (3-year long-term extension) [3] of the phase 3 SELECT-PsA 1 study. Objectives: To evaluate the safety and efficacy of UPA, in the context of the active comparator adalimumab (ADA), at week 260 (5 years) from the long-term extension of SELECT-PsA 1. Methods: Patients with PsA were randomized to receive UPA 15 mg once daily, UPA 30 mg once daily, ADA 40 mg every other week, or placebo for 24 weeks. At week 24, patients treated with placebo were switched to UPA 15 mg or UPA 30 mg. Following the approval of UPA 15 mg, the study protocol was amended whereby patients treated with UPA 30 mg were switched to UPA 15 mg (earliest switch occurred at week 104 of the study). Data for patients who switched from UPA 30 to UPA 15 treatment are not presented. Treatment-emergent adverse events were summarized for patients who received ≥ 1 dose of study drug using all available data from the 5-year study. Safety data are presented as exposure-adjusted event rates (EAERs; defined as events per 100 patient-years), as well as exposure-adjusted incidence rates (EAIRs; defined as number of patients per 100 patient-years) for a subset of adverse events of special interest. Efficacy endpoints were analyzed using nonresponder imputation (NRI) and as observed (AO) for binary endpoints or mixed effect model repeated measures and AO for continuous endpoints, with nominal P values shown, for continuous UPA and ADA treatment groups. Results: In total, 1704 patients received ≥ 1 dose of study drug and 983 (57.7%) patients completed 260 weeks of treatment. Across all patients, the most common primary reasons for discontinuation of study drug in the LTE were adverse events (8.4%), withdrawal of consent (6.2%), and lack of efficacy (4.7%). The safety profile of UPA through week 260 (5 years) was generally comparable to ADA (Figure 1) and consistent with data from weeks 104 and 152 [2, 3]. Rates of malignancy excluding nonmelanoma skin cancer (NMSC), MACE, and VTE were low compared to historical comparators and generally similar across treatment groups. Rates of serious infection, herpes zoster, anemia, lymphopenia, creatine phosphokinase (CPK) elevation, and NMSC remained higher with UPA versus ADA; serious infection, herpes zoster, anemia, neutropenia, and CPK elevation were higher with UPA 30 mg versus UPA 15 mg. Rates (EAERs) of death were the same for both UPA treatment groups and similar (< 1.0 difference in EAERs) with ADA; the most common cause of death was COVID-19/COVID-19 pneumonia. Across efficacy endpoints, improvements observed with UPA treatment at weeks 104 and 152 were generally maintained through week 260 (Table 1) [2, 3]. Based on AO analysis, the proportions of patients who achieved ≥ 20%/50%/70% improvement in ACR response criteria (ACR20/50/70) or minimal disease activity (MDA) with UPA 15 mg treatment were comparable (< 10.0% difference) to ADA at week 260. The proportions of patients achieving ≥ 75%/90%/100% improvement in PASI (PASI75/90/100) were also comparable between UPA 15 mg and ADA at week 260 (AO). Similar trends were observed across binary endpoints using the more conservative NRI analysis, with efficacy responses generally comparable with UPA 15 mg versus ADA at week 260. Across all treatments, mean change from baseline in HAQ-DI and the patient's assessment of pain were maintained from weeks 104 and 152 to week 260 and were comparable with UPA 15 mg versus ADA at week 260 (AO). Mean change from baseline in the modified total Sharp/van der Heijde Score (mTSS) at week 260 was similar across treatment groups (AO). Conclusion: In patients with PsA and an inadequate response or intolerance to ≥ 1 non-biologic DMARD, no new safety risks were identified with long-term treatment with UPA up to 5 years compared to previous reports [1–4] and the safety profile of UPA was generally consistent with ADA. Improvements in efficacy responses across various domains of PsA with UPA treatment were generally maintained over time [2, 3] and were comparable to ADA at week 260 (5 years). REFERENCES: [1] McInnes I, et al. N Engl J Med . 2021;384:1227-39. [2] McInnes I, et al. Rheumatol Ther. 2023;10:275-92. [3] McInnes I, et al. Ann Rheum Dis. 2023 [Abstract]. [4] Burmester G, et al. RMD Open. 2023;9:e002735. Figure 1 Table 1 . Acknowledgements: AbbVie and the authors thank the patients, study sites, and investigators who participated in this trial (NCT03104400). AbbVie funded this study and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing support was provided by Monica R.P. Elmore, PhD of AbbVie. Editing support was provided by S. Michael Austin of AbbVie. Disclosure of Interests: Iain B. McInnes received honoraria from AbbVie, AstraZeneca, Bristol Myers Squibb, Celgene, Eli Lilly, Evelo, Causeway Therapeutics, Gilead, Janssen, Novartis, Pfizer, Sanofi Regeneron, and UCB Pharma, research grants from AbbVie, AstraZeneca, Bristol Myers Squibb, Celgene, Eli Lilly, Evelo, Causeway Therapeutics, Gilead, Janssen, Novartis, Pfizer, Sanofi Regeneron, and UCB Pharma, Koji Kato is an employee of AbbVie and may hold stock or stock options, Marina Magrey received consulting fees from BMS, Eli Lilly, Janssen, Novartis, Pfizer, and UCB Pharma, research grants from AbbVie, Amgen, BMS, and UCB Pharma, Joseph F. Merola served as consultant for AbbVie, Arena, Avotres, Biogen, Bristol Myers Squibb, Celgene, Dermavant, Eli Lilly, EMD Sorono, Janssen, Leo Pharma, Merck, Novartis, Pfizer, Regeneron, Sanofi, Sun Pharma, and UCB Pharma, an investigator for AbbVie, Arena, Avotres, Biogen, Bristol Myers Squibb, Celgene, Dermavant, Eli Lilly, EMD Sorono, Janssen, Leo Pharma, Merck, Novartis, Pfizer, Regeneron, Sanofi, Sun Pharma, and UCB Pharma, Mitsumasa Kishimoto received honoraria from AbbVie, Amgen, Asahi-Kasei Pharma, Astellas, Ayumi Pharma, BMS, Celgene, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Janssen, Kyowa Kirin, Novartis, Ono Pharma, Takeda, Tanabe-Mitsubishi, and UCB Pharma, received consulting fees from AbbVie, Amgen, Asahi-Kasei Pharma, Astellas, Ayumi Pharma, BMS, Celgene, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly, Gilead, Janssen, Kyowa Kirin, Novartis, Ono Pharma, Takeda, Tanabe-Mitsubishi, and UCB Pharma, Derek Haaland received honoraria or other fees from AbbVie, Amgen, AstraZeneca, Bristol Myers Squibb, Eli Lilly, GlaxoSmithKline, Janssen, Merck, Novartis, Pfizer, Roche, Sanofi Genzyme, Takeda, and UCB Pharma, served on the advisory board/speaker bureau or similar committee for AbbVie, Amgen, AstraZeneca, Bristol Myers Squibb, GlaxoSmithKline, Janssen, Novartis, Pfizer, Roche, Sanofi Genzyme, Takeda, received funding for grants or clinical trials from AbbVie, Adiga Life Sciences, Amgen, Bristol Myers Squibb, Can-Fite Biopharma, Celgene, Eli Lilly, Gilead, GlaxoSmithKline, Janssen, Novartis, Pfizer, Regeneron, Sanofi-Genzyme, UCB, Laura C. Coates has been paid as a speaker for AbbVie, Amgen, Biogen, Celgene, Galapagos, Gilead, GSK, Janssen, Lilly, Medac, Novartis, Pfizer, and UCB, worked as a paid consultant for AbbVie, Amgen, BI, BMS, Celgene, Gilead, Galapagos, Janssen, Lilly, Moonlake, Novartis, Pfizer, and UCB, received grants/research support from AbbVie, Amgen, Celgene, Janssen, Lilly, Novartis, Pfizer, and UCB, Ivan Lagunes is an employee of AbbVie and may hold stock or stock options, Yanxi Liu is an employee of AbbVie and may hold stock or stock options, Erin Mancl is an employee of AbbVie and may hold stock or stock options, Bhumik Parikh is an employee of AbbVie and may hold stock or stock options, Charles Phillips is an employee of AbbVie and may hold stock or stock options. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".