POS0297 SACROILIAC JOINT INVOLVEMENT IN PSORIATIC ARTHRITIS – MRI, RADIOGRAPHIC AND CLINICAL FINDINGS IN 581 EUROPEAN ROUTINE CARE PATIENTS
Bibliographic record
Abstract
Background: Axial involvement in psoriatic arthritis (axPsA) is associated with more severe disease and worse pain compared to PsA with isolated peripheral disease. However, a consensus on the definition of axPsA has yet to be reached. Objectives: This study aims to describe the occurrence and characteristics of MRI and radiographic sacroiliac joint (SIJ) involvement in a European cohort of patients with PsA. Methods: Patients with a clinical diagnosis of PsA (clin-PsA) or axial spondyloarthritis with psoriasis (axSpA+Pso), who had available routine care SIJ MRIs and clinical data, were included from five European registries in the EuroSpA collaboration: Danbio (Denmark), SCQM (Switzerland), ATTRA (Czech Republic), ICEBIO (Iceland), and biorx.sl (Slovenia). SIJ MRIs and radiographs were centrally evaluated by two expert readers for inflammatory and structural lesions, differential diagnoses, and a global assessment of whether the overall appearance of the SIJ MRI was indicative of spondyloarthritis (SpA), i.e., inflammatory axial disease. In case of disagreement, the MRIs were adjudicated by a third reader, an expert musculoskeletal radiologist, member of the Assessment of SpondyloArthritis International Society (ASAS) MRI Group. Results: Of the 581 included patients (clin-PsA: n=373; axSpA+Pso: n=208), 47% were male, with a mean age of 45 years. At the time of MRI examination, 76% had not received biologic treatment. MRI findings in the overall population In 31% of patients, global assessment of MRI was indicative of SpA ("MRI-axPsA group"), while 69% were assessed as negative for SpA ("MRI-noAxPsA group"). Inflammatory SIJ lesions indicative of axSpA were present in 21% of patients, and structural lesions indicative of axSpA in 28%; 76% of patients had both types of lesions. Common differential diagnoses included osteitis condensans ilii (8%), probable strain-related bone marrow oedema (BME) (11%), and osteoarthritis/degeneration (16%). In 35% of patients, the SIJ MRI was normal, showing neither SpA-related lesions nor differential diagnostic conditions. A total of 259 patients had available radiographs. Of these, 29% met the radiographic component of the modified New York criteria (r-mNYc) for ankylosing spondylitis, while 38% had an MRI indicative of SpA. Radiographic SIJ involvement in patients fulfilling the r-mNYc was predominantly bilateral (90.5%). The MRI-AxPsA patients showed distinct clinical characteristics compared to those without such findings (MRI-NoAxPsA group), as they were younger (mean age 41 years versus 46 years), predominantly male (70% vs. 30%), HLA-B27 positive (55% vs. 27%), and more frequently had nail psoriasis (69% vs. 47%), uveitis (13% vs. 6%), and inflammatory back pain (69% vs. 43%), as well as elevated CRP levels (with a mean (SD) of 13(16) vs.7(12) mg/L). Despite these differences, BASDAI and BASDAI-spinal pain scores were similar across groups, as was the time since diagnosis. Findings in the subgroup of PsA patients with MRI-detected axial involvement (MRI-axPsA group ) In these patients, MRI findings were predominantly bilateral, with the most common lesions being BME (69%), erosion (68%), and fat lesions (58%). Deep subchondral BME (≥1 cm in depth), inflammation in an erosion cavity, capsulitis, deep fat lesions (≥1 cm in depth), backfill, and ankylosis were observed almost exclusively in this group (Figure 1). Frequencies of sclerosis and BME, but not other MRI findings, were significantly higher in female patients from the MRI-axPsA group, regardless of the clinical diagnosis (clin-PsA vs. axSpA+Pso). Inflammatory lesions, particularly BME, were significantly more frequent in younger MRI-axPsA patients (<35 years: 86%; 35-45 years: 74%; >45 years: 54%; p=0.01), as were erosions (81% vs. 71% vs. 55%, respectively; p=0.01). In contrast, ankylosis was more frequent in older patients >45 years (10% vs. 15% vs. 38%; p=0.01). Among MRI-axPsA patients, age and sex were similar regardless of clinical diagnosis (clin-PsA or axSpA+Pso). However, peripheral arthritis, dactylitis, and nail psoriasis were more frequent in the clin-PsA subgroup, whereas uveitis, enthesitis, inflammatory back pain, and HLA-B27 positivity were more prevalent in the axSpA+Pso subgroup. Various definitions of axial involvement in PsA Various clinical, radiographic, and MRI-based definitions of axial involvement in PsA were applied and compared (Table 1), using the overall MRI findings indicative of SpA as the reference (Table 1, 5. MRI ‘global' definition). No clinical or radiographic axPsA definitions performed similarly as this MRI definition. Conclusion: In this large European cohort, approximately one-third of routine care patients with PsA had an SIJ MRI indicative of SpA. Among patients with available radiographs, 29% showed radiographic sacroiliitis meeting the r-mNY criteria, of which 38% also had MRI lesions indicative of SpA, i.e., inflammatory axial disease. The findings of this study suggest that clinical and radiographic assessments alone are insufficient for the early identification of axial involvement in routine care of patients with PsA, highlighting the important role of MRI in detecting axial involvement in these patients. REFERENCES: NIL . Figure 1Inflammatory and structural MRI lesions in PsA patients with MRI indicative of SpA (MRI-AxPsA group) versus not indicative of SpA (MRI-noAxPsA)BME, bone marrow edema; Infl Ero cav, inflammation in an erosion cavity; Confl Ero, confluent erosion; Fat, fat lesion Table 1. Fulfilment of various definitions of axial psoriatic arthritis in all patients and in patients with (MRI-AxPsA) versus without (MRI-noAxPsA) MRI findings indicative of SpA Acknowledgements: The EuroSpA collaboration has been supported by Novartis Pharma AG since 2017 and UCB Biopharma SRL since 2022. This EuroSpA study was financially supported by Novartis. No financial sponsors had any influence on the data collection, statistical analyses, abstract preparation, or decision to submit. Disclosure of Interests: Nora Vladimirova MSD, Novartis (paid to the employer), Anna EF Hadsbjerg Novartis, Simon Krabbe (Novartis, AbbVie, MSD), Adrian Ciurea: None declared, Kristýna Bubová: None declared, Monika Gregová: None declared, Michael Nissen Abbvie, Amgen, Eli-Lilly, Janssen, Novartis, Pfizer and UCB (with payment to institution), Abbvie, Amgen, Eli-Lilly, Janssen, Novartis, Pfizer and UCB (with payment to institution), Novartis (with payment to institution), Burkhard Moeller: None declared, Raphael Micheroli: None declared, Susanne Juhl Pedersen MSD, Pfizer, AbbVie, UCB, Novartis, AbbVie, UCB, Novartis, AbbVie, MSD, Novartis, and the Danish Research Foundation, Jakub Závada Abbvie, Akord, Astra Zeneca, Celltrion, Eli-Lilly, Glaxo, Novartis, Pfizer, Sobi, Ziga Snoj: None declared, Karlo Pintaric: None declared, Bjorn Gudbjornsson: None declared, Ziga Rotar: None declared, Iris Eshed: None declared, Iwona Sudoł-Szopińska: None declared, Kasper K Gosvig: None declared, Torsten Diekhoff Canon MS, Lilly, MSD, Novartis, Pfizer, and UCB (lectures), UCB, Lilly (advisory board), Canon MS (to my institution), Robert G Lambert AbbVie, Manouk de Hooge: None declared, Maurice Donzallaz: None declared, Alexander Bernatschek: None declared, Merete Lund Hetland Pfizer, Medac, Sandoz (no personal income, institution); speaker for Novartis (personal income), Abbvie (No personal income, paid to institution). Prev. chaired the steering committee of the Danish Rheumatology Quality Registry (DANBIO, DRQ), which receives public funding from the hospital owners and funding from pharmaceutical companies, AbbVie, Biogen, BMS, Celltrion, Eli Lilly, Janssen Biologics B.V, Lundbeck Fonden, MSD, Medac, Pfizer, Roche, Samsung Bioepis, Sandoz and Novartis, Lykke Midtbøll Ørnbjerg Novartis, UCB, Mikkel Østergaard Pfizer, Medac, Sandoz (no personal income, institution); speaker for Novartis (personal income), Abbvie, BMS, Boehringer Ingelheim, Celgene, Eli Lilly, Galapagos, Gilead, Hospira, Janssen, MEDAC, Merck, Novartis, Novo, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, UCB, Abbvie, Biogen, BMS, Celltrion, Eli Lilly, Janssen Biologics B.V, Lundbeck Fonden, MSD, Medac, Pfizer, Roche, Samsung Biopies, Sandoz, Novartis, Nordforsk. © 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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".