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Predicting disease outcomes in juvenile idiopathic arthritis: challenges, evidence, and new directions
Stephanie J W Shoop-Worrall1, Qiong Wu2, Rebecca Davies3
1Centre for Epidemiology Versus Arthritis, The University of Manchester, Manchester, UK; Centre for Health Informatics, The University of Manchester, Manchester, UK.
Abstract:
The aims of treating juvenile idiopathic arthritis are to elicit treatment response toward remission, while preventing future flares. Understanding patient and disease characteristics that predispose young people with this condition to these outcomes would allow the forecasting of disease process and the tailoring of therapies. The strongest predictor of remission is disease category, particularly oligoarthritis, although a few additional clinical predictors of treatment response have been identified. Novel evidence using biomarkers, such as S100 proteins and novel single nucleotide polymorphism data, could add value to clinical models. The future aim of personalised medicine in the treatment of juvenile idiopathic arthritis will be aided with international collaborations, allowing for the analysis of larger datasets with novel biomarker data. Combined clinical and biomarker panels will probably be required for predicting outcomes in such a complex disease.
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