Effectiveness and Safety of Upadacitinib in Treating Oligoarticular and Polyarticular Psoriatic Arthritis: Primary Analysis from the UPJOINT-Study
Bibliographic record
Abstract
This study aimed to investigate the effectiveness and safety of upadacitinib in patients with either oligo- or polyarticular active psoriatic arthritis (oPsA/pPsA) in routine clinical practice. UPJOINT is a post-marketing, multicenter observational study in patients with active psoriatic arthritis (PsA), treated with upadacitinib according to local label over a period of 48 weeks. The decision for treatment initiation with upadacitinib was independent of the study participation. The study’s denominated primary endpoint was the proportion of patients achieving minimal disease activity (MDA) at week 24 under continuous treatment with upadacitinib. Furthermore, maintenance of MDA response at week 48 among those who achieved response at week 24 was evaluated. Also, very low disease activity (VLDA), and improvement of the Disease Activity Index for Psoriatic Arthritis (DAPSA) in oPsA/pPsA were further composite outcomes of interest evaluated at baseline and weeks 4, 12, 24, 36, and 48 after treatment initiation. Safety data were collected in a separate dataset using standardized operating procedures regarding the documentation of adverse events, followed by MedDRA hierarchy categorization using system organ classes. A total of 364 patients were included in the effectiveness dataset for an as-observed analysis. The proportion of patients achieving MDA increased from 3.6% (overall) at baseline, 7.1% (oPsA), and 1.3% (pPsA) to 41.5% (overall), 55.8% (oPsA), and 32.0% (pPsA) at week 24, respectively. At week 48, 47.5% of the patients with oPsA and 35.1% of the patients with pPsA achieved MDA. The proportion of MDA responders increased noticeably as early as week 4 in both subgroups (oPsA 38.4%, pPsA 16.3%). The proportion of patients achieving VLDA and DAPSA remission increased from 0% for both outcomes at baseline in patients with oPsA and pPsA to 22.2% and 14.3% and 24.2% and 14.9%, respectively, at week 48. Altogether 127 (33.3%) patients experienced 213 adverse events (AEs) with a reasonable possibility of being related to the study drug. Forty-one serious AEs were reported in 26 patients (6.8%). From the categorized AEs of particular interest, infections were most common. However, in line with previous clinical studies, no new safety signals were identified. Our data confirm that the effectiveness of upadacitinib in routine clinical practice is consistent with previous phase 3 trials for the treatment of active PsA, independent of the disease phenotype. Fast treatment effects reflected MDA achievement after 4 weeks of treatment in both PsA subgroups, similar to what is known from clinical studies. NCT04758117 (ClinicalTrials.gov). Upadacitinib is an antirheumatic medical therapy approved for treating psoriatic arthritis in patients with insufficient response to previous conventional or biological treatments. Psoriatic arthritis is a chronic inflammatory disease affecting the joints, spine, tendons/entheses, skin, nails, and other parts of the musculoskeletal system. To prevent potentially irreversible damage to joints, spine, and entheses and reduce disease-related impairment of quality of life, early diagnosis and rapid initiation of anti-inflammatory therapy are essential for patients with psoriatic arthritis. The results presented in this manuscript help clinicians evaluate whether the treatment effectiveness of upadacitinib is different in two psoriatic arthritis subtypes common in daily clinical practice, i.e., oligoarticular psoriatic arthritis (affecting ≤ 4 joints in a somewhat asymmetric pattern including large joints) and polyarticular psoriatic arthritis (affecting ≥ 5 joints in a symmetric or asymmetric pattern). The results presented in this manuscript investigate the effectiveness of upadacitinib regarding these subtypes in a routine clinical practice setting, measured by clinically relevant treatment outcomes over 48 weeks. Overall, our findings confirm previous results in the literature highlighting the efficacious treatment effect of upadacitinib, resulting in a considerable reduction of disease-related symptoms and a substantial increase in the number of patients with oligo- or polyarticular psoriatic arthritis achieving minimal or very low disease activity and remission until week 24 and up to 48 weeks of treatment with rapid positive treatment effects detected in some patients as early as week 4.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".