Deakin, CT;
Yasin, SA;
Simou, S;
Arnold, KA;
Tansley, SL;
Betteridge, ZE;
McHugh, NJ;
... UK Juvenile Dermatomyositis Research Group, .; + view all
(2016)
Muscle biopsy in combination with myositis-specific autoantibodies aids prediction of outcomes in juvenile dermatomyositis.
Arthritis & Rheumatology
, 68
(11)
pp. 2806-2816.
10.1002/art.39753.
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Abstract
OBJECTIVE: Juvenile dermatomyositis (JDM) is a rare and severe autoimmune condition characterized by rash and proximal muscle weakness. While some patients respond to standard treatment, others do not. We investigated whether histopathology and myositis-specific autoantibodies (MSA) have prognostic significance. // METHODS: Muscle biopsy samples (n=101) from the UK JDM Cohort and Biomarker Study were stained, analyzed and scored. Autoantibodies were measured (n=90) and longitudinal clinical data were collected (median follow-up 4.9 years). Long-term treatment status was modelled using generalized estimating equations. // RESULTS: Muscle biopsy scores differed according to MSA. When effects of MSA were accounted for, increased severity of muscle pathology predicted increased risk of remaining on treatment over time: 1.48-fold higher odds (1.12-1.96, p=0.0058) for the global pathology score (hVAS) and 1.10-fold higher odds (1.01-1.21, p=0.038) for the total biopsy score for the standardized score tool. A protective effect was identified in patients with anti-Mi2 autoantibodies, who had 7.06-fold lower odds (1.41-35.36, p=0.018) of remaining on treatment, despite displaying more severe muscle pathology at biopsy. For patients with anti-NXP-2, anti-TIF1γ autoantibodies or no-detectable autoantibody, increased severity of muscle pathology alone could predict the risk of remaining on treatment, without adjustment for MSA: 1.61-fold higher odds (1.16-2.22, p=0.0040) for hVAS and 1.13-fold higher odds (1.03-1.24, p=0.013) for total biopsy score. // CONCLUSION: Muscle pathology, in combination with MSA, predicts the risk of remaining on treatment in JDM and may be useful for discussing probable treatment length with parents and patients. Understanding these associations may identify patients at greater risk of severe disease.
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