ABS0740 UPADACITINIB'S EFFECT ON PAIN CONTROL IN RHEUMATOID ARTHRITIS: A REAL-LIFE SINGLE-CENTER EXPERIENCE
Bibliographic record
Abstract
Background: Patients affected by Rheumatoid Arthritis (RA) refer to pain as the most important symptom of their condition. Inadequate pain control in RA not only exacerbates the severity of the disease but also significantly affects physical functioning, quality of life (QoL), social interactions, and mood disorders [1]. Nevertheless, even when joint inflammation is controlled, and serum inflammatory markers are within normal ranges, residual pain remains one of the most significant issues for these patients. These findings highlight the crucial role of non-inflammatory pain mechanisms in RA. Data retrieved from clinical trials is starting to point out the efficacy of JAK inhibitors in achieving pain control and lowering residual pain rates, showing greater efficacy than TNFα inhibitors [2, 3]. Improved pain control could result from blocking several cytokines simultaneously. Furthermore, the JAK/STAT pathway involves specific non-inflammatory processes associated with pain control regarding microglial cells and the central nervous system (CNS). Objectives: Our goal is to provide real-life data on pain control and pain-related psychometric parameters in RA patients, undergoing therapy with JAK inhibitors. Methods: A single-center, observational, longitudinal, prospective study was conducted. Patients attended rheumatological visits, at the start of Upadacitinib therapy (T0), followed by visits at 4 (T1), 8 (T2), and 12 months (T3). Disease activity indices were collected during each visit, and questionnaires were administered to investigate the clinical-psychometric variations in pain parameters during treatment. Patients were given the following questionnaires: Pain Catastrophizing Scale (PCS), McGill Pain Questionnaire (MPQ), a shortened version of Pain Quality Assessment Scale (PQAS), Health Assessment Questionnaire (HAQ), and Beck Depression Inventory (BDI). The Friedman test assessed the significance of differences in repeated measures. A Conover post-hoc comparison was conducted to compare differences between pairs of groups, and the Holm correction was applied. A p-value of less than 0.05 was considered statistically significant. Results: A total of 34 patients were enrolled in the study (mean age: 58 ± 13.5 years). Treatment with Upadacitinib demonstrated a statistically significant improvement in both inflammatory and pain-related parameters over the 12-month observation period. Inflammatory markers and disease activity indices showed substantial reductions, including CDAI (p<0.001), SDAI (p<0.001), and DAS28-CRP (p<0.001). Pain-related clinical and psychometric parameters also significantly improved. Patients reported a marked reduction in both pain intensity (VAS pain, p<0.001) and disability (HAQ, p<0.001). Psychometric evaluations revealed a significant decrease in scores for pain catastrophizing (PCS, p<0.001), overall pain quality (MPQ, p=0.006), and depressive symptoms (BDI, p=0.018). Furthermore, improvements were observed across pain quality dimensions of the PQAS, including intense (p<0.001), sharp (p=0.001), hot (p<0.001), and dull pain (p<0.001). All data are presented in Table 1 and Figure 1. Conclusion: The results of this study show the efficacy of JAK inhibitor therapy in improving clinical and psychometric parameters related to pain in patients with RA. The marked reduction in pain control, along with the decrease in pain-related mood disturbance, highlights the potential role of these drugs for managing both inflammatory and non-inflammatory pain mechanisms in RA. Further research with larger groups, multicenter studies, and longer follow-ups is warranted to confirm these results and explore the long-term benefits of JAK inhibitors in managing pain in RA, particularly in real-world settings. References: [1] Walsh, D. A. & McWilliams, D. F. Mechanisms, impact and management of pain in rheumatoid arthritis. Nat Rev Rheumatol 10 , 581–592 (2014). [2] Taylor, P. C. et al. Achieving Pain Control in Rheumatoid Arthritis with Baricitinib or Adalimumab Plus Methotrexate: Results from the RA-BEAM Trial. Journal of Clinical Medicine 8 , 831 (2019). [3] Tóth, L. et al. Janus Kinase Inhibitors Improve Disease Activity and Patient-Reported Outcomes in Rheumatoid Arthritis: A Systematic Review and Meta-Analysis of 24,135 Patients. Int J Mol Sci 23 , 1246 (2022). Table 1. Overall changes in clinical assessment and questionnaire scores from baseline (T0) to 12 months (T3) Figure 1Variation in pain parameters between each timepoint Acknowledgements: NIL . Disclosure of Interests: None declared . © 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 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 | 0.000 | 0.003 |
| 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 | 0.000 | 0.000 |
| 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".