Anti-SS-A/Ro antibody positivity as a risk factor for relapse in patients with polymyositis/dermatomyositis
Objective: The objective of this study is to elucidate predictors of relapse in patients with polymyositis and dermatomyositis (PM/DM). Methods: Fifty PM/DM patients who achieved disease stabilization at Okayama University Hospital in 2004-2014 were enrolled retrospectively. Candidate predictors suc...
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Published in | Modern rheumatology Vol. 28; no. 1; pp. 141 - 146 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Taylor & Francis
02.01.2018
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Subjects | |
Online Access | Get full text |
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Summary: | Objective: The objective of this study is to elucidate predictors of relapse in patients with polymyositis and dermatomyositis (PM/DM).
Methods: Fifty PM/DM patients who achieved disease stabilization at Okayama University Hospital in 2004-2014 were enrolled retrospectively. Candidate predictors such as demographic factors, clinical symptoms, laboratory data, and treatment status were compared.
Results: The mean age of enrolled patients was 58 years; 34 were female. The patient groupings were as follows: 21 with PM, 27 with DM, and two with clinically amyopathic DM. During a mean observation period of 685 d, 5 patients (10%) died and 20 (40%) relapsed. The relapsed patients displayed baseline muscle weakness less frequently (85% versus 100%, p = .03) and anti-SS-A/Ro antibody more frequently (65% versus 27%, p = .007). Anti-SS-A/Ro-positive patients exhibited a higher relapse rate than anti-SS-A/Ro-negative patients (log-rank test, p = .03). Anti-SS-A/Ro-positive patients also exhibited higher anti-Jo-1 antibody positivity and lower levels of serum complement. After adjusting anti-Jo-1 antibody positivity, age, sex, CK <500 IU/L, and lung involvement, anti-SS-A/Ro positivity was still an independent risk factor for higher relapse-rate (odds ratio, 5.5; 95% confidence interval, 1.4-25.1).
Conclusions: Anti-SS-A/Ro antibody positivity may be a useful biomarker for prediction of relapse. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1439-7595 1439-7609 |
DOI: | 10.1080/14397595.2017.1317377 |