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Enregistrement W4411395481 · doi:10.1016/j.ard.2025.05.684

POS0297 SACROILIAC JOINT INVOLVEMENT IN PSORIATIC ARTHRITIS – MRI, RADIOGRAPHIC AND CLINICAL FINDINGS IN 581 EUROPEAN ROUTINE CARE PATIENTS

2025· article· en· W4411395481 sur OpenAlexaff
Nora Vladimirova, A. E. F. Hadsbjerg, Simon Krabbe, Adrian Ciurea, Kristýna Bubová, Monika Gregová, Michael J. Nissen, B. Moeller, Raphael Micheroli, Susanne Juhl Pedersen, Jakub Závada, Žiga Snoj, K. Pintaric, B. Gudbjornsson, Z. Rotar, I. Eshed, Iwona Sudoł‐Szopińska, Kasper Gosvig, Torsten Diekhoff, R. Lambert, Manouk de Hooge, M. Donzallaz, A. Bernatschek, Merete Lund Hetland, Lykke Midtbøll Ørnbjerg, Mikkel Østergaard

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueSpondyloarthritis Studies and Treatments
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésMedicinePsoriatic arthritisSacroiliac jointRadiographySacroiliitisArthritisPsoriasisDermatologyAxial spondyloarthritisRadiologyPhysical therapyInternal medicine

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,305
Écart entre enseignants0,282 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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