Article Text

other Versions

PDF
High anti-CCP levels and an algorithm of four variables predict radiographic progression in patients with rheumatoid arthritis: results from a 10-year longitudinal study
  1. Silje W Syversen (s.w.syversen{at}medisin.uio.no)
  1. Diakonhjemmet Hospital Oslo, Norway
    1. Per Ivar Gaarder (perivar.gaarder{at}ulleval.no)
    1. University Hospital Ullevål, Norway
      1. Guro L Goll (g.l.goll{at}medisin.uio.no)
      1. Diakonhjemmet Hospital, Oslo, Norway
        1. Sigrid Ødegård (sigrid.odegard{at}diakonsyk.no)
        1. Diakonhjemmet Hospital, Oslo, Norway
          1. Espen A Haavardsholm (espen.haavardsholm{at}diakonsyk.no)
          1. Diakonhjemmet Hospital, Norway
            1. Petter Mowinckel (pettermowi{at}hotmail.com)
            1. Diakonhjemmet Hospital, Oslo, Norway
              1. Désirée van der Heijde (d.vanderheijde{at}kpnplanet.nl)
              1. Leiden University Medical Center, Netherlands
                1. Robert Landewé (rlan{at}sint.azm.nl)
                1. University Hospital Maastricht, Netherlands
                  1. Tore K Kvien (t.k.kvien{at}ioks.uio.no)
                  1. Diakonhjemmet Hospital, Oslo, Norway

                    Abstract

                    Objectives: New effective therapy with particularly good effect on joint destruction has highlighted the need for reliable predictors of radiographic progression in RA. Our objective was to assess the combined predictive role of a set of laboratory markers with regard to 10-year radiographic progression, and to examine the effect of anti-CCP level.

                    Methods: A cohort of 238 RA patients was followed longitudinally for 10 years with collection of clinical data and serum samples.125 patients with radiographs of the hands available at both baseline and after 10 years were included in this study. Radiographs were scored according to the van der Heijde modified Sharp score. Baseline sera were analysed for CRP, ESR, anti-CCP, IgA RF and IgM RF. Logistic regression analyses were used to identify predictors of radiographic progression and to examine the effect of anti-CCP level.

                    Results: Anti-CCP (OR (95% CI) 4.0 (1.6-10.0)) was the strongest independent predictor of radiographic progression. Female gender (OR 3.3 (1.3-7.6)), high ESR (OR 3.2 (1.2-7.6)) and a positive IgM RF (OR 3.1 (1.2-7.9)) were also independent predictors. Compared to the anti-CCP negative patients, patients with low to moderate levels of anti-CCP (OR= 2.6 (0.9-7.2)) and patients with high levels of anti-CCP (OR= 9.9 (2.7-36.7)) were more likely to develop radiographic progression.

                    Conclusion: Anti-CCP, IgM RF, ESR and female gender were independent predictors of radiographic progression and could be combined into an algorithm for better prediction. Patients with high levels of anti-CCP were especially prone to radiographic progression, indicating that the anti-CCP level may add prognostic information.

                    Statistics from Altmetric.com

                    Request permissions

                    If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.