Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/103747
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dc.contributor.authorEsposito, J.-
dc.contributor.authorBrown, Z.-
dc.contributor.authorStevens, W.-
dc.contributor.authorSahhar, J.-
dc.contributor.authorRabusa, C.-
dc.contributor.authorZochling, J.-
dc.contributor.authorRoddy, J.-
dc.contributor.authorWalker, J.-
dc.contributor.authorProudman, S.-
dc.contributor.authorNikpour, M.-
dc.date.issued2016-
dc.identifier.citationArthritis Research and Therapy, 2016; 18(1):246-1-246-12-
dc.identifier.issn1478-6354-
dc.identifier.issn1478-6362-
dc.identifier.urihttp://hdl.handle.net/2440/103747-
dc.description.abstractBackground: In some rheumatic diseases such as systemic lupus erythematosus (SLE), low serum complement ('hypocomplementaemia') is a feature of active disease. However, the role of hypocomplementaemia in systemic sclerosis (SSc) is unknown. We sought to determine the frequency, clinical associations and relationship to disease activity of hypocomplementaemia in SSc. Methods: The study included 1140 patients fulfilling the 2013 American College of Rheumatology criteria for SSc. Demographic, serological and clinical data, obtained prospectively through annual review, were analysed using univariable methods. Linear and logistic regression, together with generalised estimating equations, were used to determine the independent correlates of hypocomplementaemia ever, and at each visit, respectively. Results: At least one episode of hypocomplementaemia (low C3 and/or low C4) occurred in 24.1 % of patients over 1893 visits; these patients were more likely to be seropositive for anti-ribonucleoprotein (OR = 3.8, p = 0.002), anti-Ro (OR = 2.2, p = 0.002), anti-Smith (OR = 6.3, p = 0.035) and anti-phospholipid antibodies (OR = 1.4, p = 0.021) and were more likely to display features of overlap connective tissue disease, in particular polymyositis (OR = 16.0, p = 0.012). However, no association was found between hypocomplementaemia and either the European Scleroderma Study Group disease activity score or any of its component variables (including erythrocyte sedimentation rate) in univariate analysis. Among patients with SSc overlap disease features, those who were hypocomplementaemic were more likely to have digital ulcers (OR = 1.6, p = 0.034), tendon friction rubs (OR = 2.4, p = 0.037), forced vital capacity <80 % predicted (OR = 2.9, p = 0.008) and lower body mass index (BMI) (OR for BMI = 0.9, p < 0.0005) at that visit, all of which are features associated with SSc disease activity and/or severity. Conclusions: While hypocomplementaemia is not associated with disease activity in patients with non-overlap SSc, it is associated with some features of increased SSc disease activity in patients with overlap disease features.-
dc.description.statementofresponsibilityJames Esposito, Zoe Brown, Wendy Stevens, Joanne Sahhar, Candice Rabusa, Jane Zochling, Janet Roddy, Jennifer Walker, Susanna M. Proudman, and Mandana Nikpou-
dc.language.isoen-
dc.publisherBioMed Central-
dc.rights© The Author(s). 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.-
dc.source.urihttp://dx.doi.org/10.1186/s13075-016-1147-2-
dc.subjectSystemic sclerosis; complement; disease activity-
dc.titleThe association of low complement with disease activity in systemic sclerosis: a prospective cohort study-
dc.typeJournal article-
dc.identifier.doi10.1186/s13075-016-1147-2-
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1071735-
pubs.publication-statusPublished-
dc.identifier.orcidProudman, S. [0000-0002-3046-9884]-
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