A clinical prediction model for estimating the risk of developing uveitis in patients with juvenile idiopathic arthritis

To build a prediction model for uveitis in children with JIA for use in current clinical practice.Data 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...