ABS0512 STABLE PATIENT-REPORTED OUTCOMES DESPITE IMPROVING CLINICAL OUTCOMES OVER 25 YEARS. THE EARLY UNDIFFERENTIATED POLYARTHRITIS (EUPA) COHORT
Bibliographic record
Abstract
Background: Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic synovitis, joint damage, functional impairment, and extra-articular manifestations. Over the past two decades, RA outcomes have improved due to advancements in treatment, including biologics, treat-to-target (T2T) strategies, and earlier intervention. Recent findings from the Early Undifferentiated PolyArthritis (EUPA) cohort revealed changes in baseline characteristics of RA patients, such as lower inflammation and reduced erosive damage, alongside increased comorbidities [1]. Objectives: We investigated whether ongoing changes in the characteristics of patients with early rheumatoid arthritis over two decades contributed to improved outcomes. Methods: The EUPA cohort, initiated in 1998, consecutively recruited adults with synovitis affecting at least three joints for one to twelve months. Patients were recruited from an academic health center, the sole rheumatology referral institution serving a population of 500,000, and provided consent to participate in a longitudinal observational study. Patients with bacterial or crystal-induced arthritis, connective tissue disease, or systemic vasculitis according to ACR criteria were excluded. Time of onset of arthritis was defined as the week or month during which joint symptoms appeared or, in patients with prior musculoskeletal complaints, when new signs or symptoms of inflammatory arthritis were reported. This study included patients meeting 1987 and/or 2010 RA criteria at baseline or within the first 18 months (90% of the recruited EUPA patients over 24 years). Evaluations were scheduled relative to symptom onset to ensure homogeneity in disease duration at follow-up, regardless of symptom duration at baseline. Treatment was individualized with the objective of sustained control of synovitis, with rheumatologists aiming for zero swollen joints. Patients were assessed at baseline and during follow-up visits scheduled at 12, 18, 30, 42, and 60 months after the onset of arthritis symptoms. A trained coordinator performed structured interviews at baseline and each follow-up visit. Assessed variables comprised demographic, clinical, and laboratory data including joint counts, C-reactive protein (CRP), erythrocyte sedimentation rate, serology, and HLA-DR locus genotyping. Radiographs were scored using the Sharp-van der Heijde method for joint space narrowing and erosions. Functional status was assessed using the Modified Health Assessment Questionnaire (M-HAQ), and disease activity was measured using the Simple Disease Activity Index (SDAI). Patient-reported outcomes (PROs) included the CES-D and visual analog scales for pain, fatigue, and sleep. Comorbidities were evaluated using the Rheumatic Disease Comorbidity Index (RDCI). Patients were classified into three time periods: (1) 1998–2004 (pre-biologics), (2) 2005–2010 (before T2T and 2010 RA criteria), and (3) 2011–2022 (post-T2T and expanded biologic access). Baseline characteristics were compared using Kruskal-Wallis and Chi-Square or Fisher Exact tests. Time-dependent outcomes across the three groups were analyzed using generalized estimating equations (GEE) and linear mixed models with repeated measures. Continuous variables were transformed for normal distribution, and multivariate GEE models adjusted for baseline and visit-specific variables. Statistical significance was set at p<0.05, with Benjamini-Hochberg correction for multiple comparisons. Results: The study cohort comprised 840 patients, categorized into three time periods: 245 patients (1998–2004), 266 patients (2005–2010), and 329 patients (2011–2022). At baseline, active smoking, seropositivity, CRP levels, erosive status, and pain levels decreased across the periods, while education levels and comorbidities increased.The use of high-dose methotrexate and biologics rose after 2005 but stabilized in subsequent periods. Early corticosteroid use increased over time, with tapering during follow-up accelerated across each period. Over a 5-year follow-up, erosive status progressed more slowly, and ACR/EULAR remission occurred significantly faster and became more prevalent, particularly after 2011 (Figure 1). However, improvement curves for functional status and other PROs remained consistent between periods (Figure 2). After adjusting for baseline variables and changes in treatment strategies, recruitment during the two most recent periods (2005–2010 and 2011–2022) was significantly associated with protection against erosive status and a higher likelihood of remission after 2011. Conclusion: The evolving intrinsic characteristics of early RA patients recruited in more recent periods contribute to higher remission rates and reduced erosive damage, complementing advancements in treatment strategies. However, functional outcomes and other PROs did not show parallel improvement during the first 5 years of disease. REFERENCES: [1] Carrier N, et al. Early Rheumatoid Arthritis Patients at Presentation Are Changing . J Rheumatol 2024. Acknowledgements: We thank the staff rheumatologists Dr. Pierre Dagenais, Dr. Guylaine Arsenault, Dr. Hugues Allard-Chamard, Dr. Lyne Bissonnette, and Dr. Alessandra Bruns and for their contribution to the recruitment and follow up of EUPA patients. We also thank our dedicated research assistants Chantal Guillet, Noémie Poirier and Christine Rosa for their long-term contribution to the EUPA study. Disclosure of Interests: Nathalie Carrier: None declared, Javier Marrugo: None declared, Sophie Roux: None declared, Ariel Masetto Dr. Masetto has received honoraria for presentations from AbbVie Canada and Novartis Canada, Dr. Masetto has received honoraria for participation in advisory boards from Johnson & Johnson, AbbVie Canada, and Novartis Canada, Dr. Masetto has received support for attending a meeting from Pfizer Canada, Artur De Brum-Fernandes: None declared, Patrick Liang Dr. Liang holds shares in Merck and Procter & Gamble, Dr. Liang has received honoraria for participation in advisory boards from Janssen Canada, Dr. Liang has received support for attending a meeting from Janssen Canada, Meryem Maoui Ms. Maoui was formerly employed by Bristol-Myers Squibb Canada, Gilles Boire Dr. Boire has received honoraria for presentations from Orimed Pharma and Viatris Canada, Dr. Boire has received honoraria for participation in advisory boards from AbbVie Canada, Janssen Canada, Eli Lilly, Mylan Canada, Novartis Canada, Otsuka Canada, Pfizer Canada, Sanofi Canada, Teva Canada, and Viatris Canada, Dr. Boire has received grant support through the CRCHUS from Biocon Canada and Pfizer Canada. © 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".