Best Practice & Research Clinical Rheumatology
Volume 23, Issue 1 , Pages 25-36, February 2009

Predicting the development of RA in patients with early undifferentiated arthritis

  • Karim Raza, MRCP, PhD (Doctor)

      Affiliations

    • Corresponding Author InformationCorresponding author. Tel.: +44 1214146777; Fax: +44 1214146795.
  • ,
  • Andrew Filer, MRCP, PhD (Doctor)

Rheumatology Research Group, Division of Immunity and Infection, Institute of Biomedical Research, MRC Centre for Immune Regulation, University of Birmingham, Birmingham B15 2TT, UK

The rapidity with which bone and cartilage damage occurs in patients with rheumatoid arthritis (RA), and the increasing body of evidence for the effectiveness of early intervention in RA, mean that there is a great need for approaches to accurately predict the development of RA in patients with early undifferentiated arthritis. We will review developments in the prediction of outcome on the basis of clinical and laboratory features, including measures of anti-citrullinated protein/peptide antibody status. Although accurate predictions are possible in the majority of patients using recently developed predictive algorithms which utilize clinical and serological variables, there remains a group of patients for whom it is very difficult to predict the development of RA. The utility of new strategies for prediction will be discussed, including recently discovered genetic associations of RA, an assessment of material from the primary site of pathology (the joint), and assessment using the highly sensitive imaging modalities of ultrasound and magnetic resonance imaging.

Keywords: rheumatoid arthritis, early arthritis, prediction, outcome, anti-CCP antibody, synovitis, ultrasound, magnetic resonance imaging

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PII: S1521-6942(08)00086-7

doi:10.1016/j.berh.2008.08.001

Best Practice & Research Clinical Rheumatology
Volume 23, Issue 1 , Pages 25-36, February 2009