Predictors of Clinical Improvement in Rituximab‐Treated Refractory Adult and Juvenile Dermatomyositis and Adult Polymyositis

Objective To identify the clinical and laboratory predictors of clinical improvement in a cohort of myositis patients treated with rituximab. Methods We analyzed data for 195 patients with myositis (75 with adult polymyositis [PM], 72 with adult dermatomyositis [DM], and 48 with juvenile DM) in the...

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Published inArthritis & rheumatology (Hoboken, N.J.) Vol. 66; no. 3; pp. 740 - 749
Main Authors Aggarwal, Rohit, Bandos, Andriy, Reed, Ann M., Ascherman, Dana P., Barohn, Richard J., Feldman, Brian M., Miller, Frederick W., Rider, Lisa G., Harris‐Love, Michael O., Levesque, Marc C., Oddis, Chester V.
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.03.2014
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Summary:Objective To identify the clinical and laboratory predictors of clinical improvement in a cohort of myositis patients treated with rituximab. Methods We analyzed data for 195 patients with myositis (75 with adult polymyositis [PM], 72 with adult dermatomyositis [DM], and 48 with juvenile DM) in the Rituximab in Myositis trial. Clinical improvement was defined as 20% improvement in at least 3 of the following 6 core set measures of disease activity: physician's and patient's/parent's global assessment of disease activity, manual muscle testing, physical function, muscle enzymes, and extramuscular disease activity. We analyzed the association of the following baseline variables with improvement: myositis clinical subgroup, demographics, myositis damage, clinical and laboratory parameters, core set measures, rituximab treatment, and myositis autoantibodies (antisynthetase, anti–Mi‐2, anti–signal recognition particle, anti–transcription intermediary factor 1γ [TIF‐1γ], anti‐MJ, other autoantibodies, and no autoantibodies). All measures were univariately assessed for association with improvement using time‐to‐event analyses. A multivariable time‐dependent proportional hazards model was used to evaluate the association of individual predictive factors with improvement. Results In the final multivariable model, the presence of an antisynthetase, primarily anti–Jo‐1 (hazard ratio [HR] 3.08, P < 0.01), anti–Mi‐2 (HR 2.5, P < 0.01), or other autoantibody (HR 1.4, P = 0.14) predicted a shorter time to improvement compared to the absence of autoantibodies. A lower physician's global assessment of damage (HR 2.32, P = 0.02) and juvenile DM (versus adult myositis) (HR 2.45, P = 0.01) also predicted improvement. Unlike autoantibody status, the predictive effect of physician's global assessment of damage and juvenile DM diminished by week 20. Rituximab treatment did not affect these associations. Conclusion Our findings indicate that the presence of antisynthetase and anti–Mi‐2 autoantibodies, juvenile DM subset, and lower disease damage strongly predict clinical improvement in patients with refractory myositis.
Bibliography:Dr. Barohn has received consulting fees from Novartis (more than $10,000) and speaking fees from Grifols (more than $10,000).
ClinicalTrials.gov
Dr. Feldman has received consulting fees, speaking fees, and/or honoraria from Novartis (less than $10,000).
Dr. Oddis has received consulting fees from Questcor (less than $10,000) and has served as an expert witness concerning appropriateness of rituximab therapy in a patient with myositis.
identifier: NCT00106184.
Dr. Reed has received consulting fees and/or honoraria from Genentech for service on the Genentech Advisory Board (less than $10,000).
Dr. Levesque has received consulting fees, speaking fees, and/or honoraria from Genentech (less than $10,000) and has received research support from Genentech.
Dr. Aggarwal has received consulting fees and/or honoraria from Questcor and aTyr Pharma for service on the Advisory Boards of the companies (less than $10,000 each).
RIM Study Group (appendix A).
ISSN:2326-5191
2326-5205
DOI:10.1002/art.38270