ArticleRheumatology (Oxford, England)2021
A clinical prediction model for estimating the risk of developing uveitis in patients with juvenile idiopathic arthritis.
Article in Rheumatology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- The incidence and risk factors of uveitis in children with juvenile idiopathic arthritis (JIA): a meta -analysis and literature review.Pediatric rheumatology online journal · 2025Pooled it
- Is There a Link between the Molecular Basis of Juvenile Idiopathic Arthritis and Autoimmune Diseases? Systematic Review.International journal of molecular sciences · 2024Pooled it
- Evaluation of ILAR and PRINTO classifications for juvenile idiopathic arthritis: oligoarticular JIA vs early-onset ANA-positive JIA.Clinical rheumatology · 2025Article
- Integration of Genetic and Clinical Risk Factors for Risk Classification of Uveitis in Patients With Juvenile Idiopathic Arthritis.Arthritis & rheumatology (Hoboken, N.J.) · 2024Article
- Clinical Features and Risk Factors of Uveitis in Korean Children with Juvenile Idiopathic Arthritis: A Retrospective Cohort Study.Journal of clinical medicine · 2023Article
- Article
- Development and External Validation of a Model Predicting New-Onset Chronic Uveitis at Different Disease Durations in Juvenile Idiopathic Arthritis.Arthritis & rheumatology (Hoboken, N.J.) · 2023Article
- Real-world comparison of the effects of etanercept and adalimumab on well-being in non-systemic juvenile idiopathic arthritis: a propensity score matched cohort study.Pediatric rheumatology online journal · 2022Article
- Triage by PAX1 and ZNF582 Methylation in Women With Cervical Intraepithelial Neoplasia Grade 3: A Multicenter Case-Control Study.Open forum infectious diseases · 2022Article
- Uveitis Is a Risk Factor for Juvenile Idiopathic Arthritis' Significant Flare in Patients Treated With Biologics.Frontiers in pediatrics · 2022Article
- Identification of novel autoantigens as potential biomarkers in juvenile idiopathic arthritis associated uveitis.Frontiers in pediatrics · 2022Article
- Development and validation of a nomogram for predicting intellectual disability in children with cerebral palsy.International journal of clinical and health psychology : IJCHPArticle
- Imaging Findings of Pediatric Rheumatic Disorders: JIA in the PRINTO Era and Autoimmune Interferonopathies.Pediatrics international : official journal of the Japan Pediatric SocietyReview
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20 authors at 13 institutions in 9 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo build a prediction model for uveitis in children with JIA for use in current clinical practice.
methodsData from the international observational Pharmachild registry were used. Adjusted risk factors as well as predictors for JIA-associated uveitis (JIA-U) were determined using multivariable logistic regression models. The prediction model was selected based on the Akaike information criterion. Bootstrap resampling was used to adjust the final prediction model for optimism.
resultsJIA-U occurred in 1102 of 5529 JIA patients (19.9%). The majority of patients that developed JIA-U were female (74.1%), ANA positive (66.0%) and had oligoarthritis (59.9%). JIA-U was rarely seen in patients with systemic arthritis (0.5%) and RF positive polyarthritis (0.2%). Independent risk factors for JIA-U were ANA positivity [odds ratio (OR): 1.88 (95% CI: 1.54, 2.30)] and HLA-B27 positivity [OR: 1.48 (95% CI: 1.12, 1.95)] while older age at JIA onset was an independent protective factor [OR: 0.84 (9%% CI: 0.81, 0.87)]. On multivariable analysis, the combination of age at JIA onset [OR: 0.84 (95% CI: 0.82, 0.86)], JIA category and ANA positivity [OR: 2.02 (95% CI: 1.73, 2.36)] had the highest discriminative power among the prediction models considered (optimism-adjusted area under the receiver operating characteristic curve = 0.75).
conclusionWe developed an easy to read model for individual patients with JIA to inform patients/parents on the probability of developing uveitis.
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