ArticleACR open rheumatology2025
Characteristics That Predict Psoriatic Arthritis by the Classification Criteria for Psoriatic Arthritis in Patients With Juvenile Idiopathic Arthritis 18 Years After Disease Onset.
Article in ACR open rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Enhancing nail disease diagnosis: a capsule network with SE attention and dual backbone models.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- The Challenges of New Biologic Therapies in Pediatrics: An Update on the Limited Therapeutic Options for Juvenile Psoriatic Arthritis.Rheumatic diseases clinics of North America · 2025Review
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purposes of this study were to assess the clinical characteristics of patients with juvenile idiopathic arthritis (JIA) who fulfill the ClASsification criteria for Psoriatic ARthritis (CASPAR) 18 years after disease onset in a population-based setting and to identify features likely to predict psoriatic arthritis (PsA).
methodsPatients with JIA from defined geographic regions of Denmark, Finland, Norway, and Sweden with disease onset from 1997 to 2000 were enrolled prospectively and followed up for 18 years. Clinical, laboratory, and heredity data for psoriasis were collected. Patients were classified according to the International League of Associations for Rheumatology (ILAR) criteria at baseline, and we applied ILAR and CASPAR criteria at 18 years. Logistic regression was performed to study the effects of JIA-related characteristics and heredity for psoriasis on being classified for PsA.
resultsAmong the 510 patients enrolled, 434 participated in the 18-year follow-up, 28 (6.5%) met the ILAR criteria, and 41 (9.4%) fulfilled the CASPAR criteria. Patients with wrist or subtalar joint involvement at onset had higher odds of being classified with PsA at 18 years (odds ratio [OR] 3.3, P = 0.02 and OR 12.9, P = 0.01, respectively). Presence of psoriasis, nail abnormalities, or dactylitis showed significant association with development of PsA (OR 20.2, P < 0.001; OR 11.6, P = 0.002; and OR 43.4, P < 0.001, respectively).
conclusionCASPAR criteria identify more patients with PsA compared with ILAR criteria and may better capture the heterogeneous nature of the disease. Presence of psoriasis and dactylitis at disease onset were the strongest predictors for the development of PsA. Further studies on the utility of CASPAR criteria in patients with JIA are needed.
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