A clinical prediction model for estimating the risk of developing uveitis in patients with juvenile idiopathic arthritis.
Rheumatology (Oxford)
; 60(6): 2896-2905, 2021 06 18.
Article
en En
| MEDLINE
| ID: mdl-33274366
ABSTRACT
OBJECTIVE:
To build a prediction model for uveitis in children with JIA for use in current clinical practice.METHODS:
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 prediction model for optimism.RESULTS:
JIA-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).CONCLUSION:
We developed an easy to read model for individual patients with JIA to inform patients/parents on the probability of developing uveitis.Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Artritis Juvenil
/
Uveítis
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Reglas de Decisión Clínica
Tipo de estudio:
Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Child
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Child, preschool
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Female
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Humans
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Male
Idioma:
En
Año:
2021
Tipo del documento:
Article