Clinical and Laboratory Characteristics and Follow Up Results of 121 Children with Juvenile Idiopathic Arthritis

Predicting disease outcomes in juvenile idiopathic arthritis: challenges, evidence, and new directions

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.

Fatigue in patients with juvenile idiopathic arthritis: A systematic review of the literature

OBJECTIVE

To perform a systematic review of the current literature on studies related to fatigue in children with JIA. We studied the measurements that were used to assess fatigue and we focused on three outcome measurements, namely, (1) the prevalence of fatigue in JIA patients, (2) the determinants of and associations with fatigue in JIA patients, and (3) the impact of fatigue in JIA patients on daily life.

METHODS

A search was conducted in the electronic databases Pubmed and Embase from January 1, 2000 until August 27, 2015. The quality in prognostic factors (QUIPS) tool was used to assess the risk of bias (ROB) in the selected studies, focused on the outcome fatigue. Of all, two authors independently judged the ROB.

RESULTS

A total of 15 studies were included in this review. To assess fatigue, two unidimensional and three multidimensional scales were used, which hampered comparison. Fatigue was reported to be present in 60-76% of the patients with JIA and was related to time of day, disease activity, pain, psychosocial factors, and sleep. Minor consequences for daily life were found, though this was not studied extensively.

CONCLUSION

Fatigue is common in patients with JIA. The cause reflects a complex interplay of different factors. Based on results from this review and its body of knowledge, a conceptual model for fatigue in patients with JIA is proposed. Consensus is needed for future studies on how to assess fatigue. We promote the use of a combination of unidimensional and validated multidimensional measurements.