ABS0602 SACROILIITIS RATE IN PATIENTS WITH PSORIASIS BASED ON MRI FINDINGS AND THE ASAS DEFINITION FOR ACTIVE SACROILIITIS
Notice bibliographique
Résumé
Background: The 2009 Assessment of Spondylarthritis International Society (ASAS) classification criteria are frequently employed to assess axial involvement in individuals with spondylarthritis. While psoriasis is included as one of these criteria, the frequency of confirmed sacroiliitis in this group remains largely undetermined. Several investigations have indicated that individuals with psoriatic arthritis may exhibit a high occurrence of sacroiliitis on MRI, with a considerable number being asymptomatic. However, data on MRI-detected sacroiliitis in patients with psoriasis experiencing back pain remains scarce with a variable prevalence ranging between (10% - 25%) [1, 2]. Objectives: To determine the frequency of sacroiliitis detected by MRI in a cohort of patients with psoriasis experiencing back pain. Methods: The Dermatology Database at Hamad Medical Corporation was used to identify all psoriasis patients from January 2016 to November 30, 2023. This dataset was then electronically filtered to select patients who had undergone MRI examinations of the sacroiliac joint (SIJ). A retrospective review of these patients' electronic medical records was conducted to extract demographic and clinical information. Additionally, two musculoskeletal (MSK) radiologists, designated as reader A and B, independently evaluated the MRI scans without knowledge of the clinical data. These radiologists were trained to interpret MRI scans according to the ASAS definition for active sacroiliitis using validated calibration modules aimed at standardization recommended by the ASAS MRI working group. ASAS electronic case report form was used for evaluation of the MRI lesions in the SIJ. Results: A total of 113 psoriasis patients underwent MRI SIJ, with 38 excluded due to non-compliance with ASAS protocol for sacroiliitis evaluation. The remaining 75 subjects were analyzed. Among the participants, 45 (60%) were female. The average age was 42 years (SD ±11.9). Regarding ethnicity, 54 (72%) were Arab, 16 (21.3%) were East Asian, and 5 (6.7%) were from various other backgrounds. On average, patients had psoriasis for 9.8 years (SD ±8.7) before their MRI. MRI scan readers identified 7 subjects (9.3%) as having sacroiliitis, (3 subjects had combined structural and inflammatory lesions, 2 had isolated inflammatory lesions and 2 had isolated structural lesions). Out of the 7 subjects, 3 (4%) met the ASAS MRI definition for active sacroiliitis. Both MRI readers showed complete agreement in diagnosing sacroiliitis via MRI. Conclusion: In psoriasis patients with symptomatic back pain, MRI-detected sacroiliitis shows a low occurrence (9.3%), which decreases further when ASAS MRI definition for active sacroiliitis is applied. The utility of MRI of the sacroiliac joint needs to be further explored in a larger prospective cohort of patients with psoriasis. REFERENCES: [1] Fabian, Proft., S., Lüders., Tony, Hunter., Gonzalo, Luna., Valeria, Rios, Rodriguez., Mikhail, Protopopov., K., Meier., George, N., Kokolakis., Kamran, Ghoreschi., Denis, Poddubnyy. (2022). Pos1445 early detection of axial psoriatic arthritis in patients with psoriasis: a prospective, multicenter study. Annals of the Rheumatic Diseases, 81(Suppl 1):1067.1-1067. doi: 10.1136/annrheumdis-2022-eular.4375. [2] Vlad, A., Bratu., Peter, Häusermann., Ulrich, A., Walker., Thomas, Daikeler., Veronika, Zubler., Veronika, K., Jaeger., Ulrich, Weber., Ueli, Studler. (2019). Do Patients With Skin Psoriasis Show Subclinical Axial Inflammation on Magnetic Resonance Imaging of the Sacroiliac Joints and Entire Spine. Arthritis Care and Research, 71(8):1109-1118. doi: 10.1002/ACR.23767. Table 1The clinical characteristics of patients with psoriasis who were diagnosed with sacroiliitis by MRI compared to patients who did not show sacroiliitis by MRI.Sacroiliitis by MRI 7No sacroiliitis 68P valuePsoriatic nails n (%)3 (42.9%)19 (27.9%)0.412Arthritis n (%)1 (14.3%)9 (13.2%)1.000Enthesitis n (%)019 (27.9)0.181Dactylitis n (%)01 (1.5%)1.000Uveitis n (%)05 (7.4%)1.000Inflammatory bowel disease n (%)02 (2.9%)1.000Inflammatory back pain n (%)5 (71.4%)32 (47.1%)0.262Biology before MRI n (%)3 (42.9%)19 (27.9%)0.412 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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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».