Integration of Genetic and Clinical Risk Factors for Risk Classification of Uveitis in Patients With Juvenile Idiopathic Arthritis
Authors' conclusion
Integration of a genetic and clinical risk prediction model outperforms a model based solely on clinical risk factors.
Study context
- Population
- Patients with juvenile idiopathic arthritis (JIA) with and without uveitis, inferred European ancestry2,497 without uveitis
- Comparison
- Model integrating genetic and clinical risk factors vs model of clinical risk factors alone
- Outcome
- JIA-associated uveitis (JIAU) risk classification
Methodological detailsforward conditional logistic regression, Bonferroni-corrected significance (6 × 10-6), multivariable logistic regression, likelihood ratio test, inferred European ancestry only
- Forward conditional logistic regression
- Bonferroni-corrected significance (6 × 10-6)
- Multivariable logistic regression
- Likelihood ratio test
- Inferred European ancestry only
Main finding
As reported in the abstract
JIAU risk classification (AUC)
| Group | AUC |
|---|---|
| Genetic + clinical model | 0.75 |
| Clinical model | 0.71 |
AUC
Genetic + clinical model0.75
Clinical model0.71
Further findings
| Outcome | P value |
|---|---|
| Improvement in model fit adding genetic markers to clinical risk factors | P = 3.3 × 10-23 |
Original publication
Integration of Genetic and Clinical Risk Factors for Risk Classification of Uveitis in Patients With Juvenile Idiopathic Arthritis. Arthritis Rheumatol. Published 5 September 2024. doi:10.
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