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Abstract Number: 2126

Changes of Serological Markers in the Course of Traditional and Biological Disease Modifying Therapy of Rheumatoid Arthritis

Christoph Böhler1, Helga Radner2, Josef S. Smolen3 and Daniel Aletaha4, 1Department of Medicine 3, Division of Rheumatology, Medical University of Vienna, Vienna, Austria, 2Department of Internal Medicine III; Division of Rheumatology, Medical University of Vienna, Vienna, Austria, 3Division of Rheumatology, Department of Internal Medicine III,, Medical University of Vienna and Hietzing Hospital, Vienna, Austria, 4Department of Internal Medicine III, Division of Rheumatology, Medical University of Vienna, Vienna, Austria

Meeting: 2012 ACR/ARHP Annual Meeting

Keywords: autoantibodies, rheumatoid arthritis (RA) and treatment

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Session Information

Title: Rheumatoid Arthritis - Clinical Aspects III: Infections/Risk Factors for Incident Rheumatoid Arthritis/Metrology/Classification/Biomarkers/Predictors of Rheumatolid Arthritis Activity & Severity

Session Type: Abstract Submissions (ACR)

Background/Purpose: Rheumatoid factor (RF) and antibodies against citrullinated peptides (ACPA) are established markers in the diagnostic approach to rheumatoid arthritis (RA). Both auto-antibodies (AAB) also have a prognostic value, since they are associated with more aggressive, destructive disease 1.Therefore decreases in AAB levels may be highly relevant to improve the long-term outcome of RA. We aimed to investigate the changeability of ACPA and RF levels under anti-rheumatic therapy, with special focus on the influence of treatment response.

 

Methods: We obtained data of outpatients from a long-term observational database with prospective data entry. We retrieved clinical and serological data of patients treated with traditional disease modifying anti-rheumatic drugs (DMARDs) and/or biological response modifiers from the treatment start and after 6 months of therapy. We used non-parametric tests to analyse changes of ACPA and RF levels between the two visits, as well as differences between treatment responders and non-responders. SDAI50 criteria were used to define treatment response 2. Furthermore, we investigated the trend of ACPA, RF and SDAI over a period of 18 months.

 

Results: 143 ACPA and RF positive patients were included. As depicted in Figure 1, the median (25th /75th percentile) relative changes after six months were -35.6% (-63.3; -8.3) for RF, and -15.2% (-40.0; 10.0) for ACPA (p<0.001 for both). The changes of RF levels were significantly greater than those seen for ACPA (p<0.001). SDAI50 response was achieved in 60 (42%) patients. As can be seen in Figure 2, the decrease of ACPA and RF was significantly higher in patients with treatment response than in those without (p=0.034 and p=0.01, respectively). After 3 months the decline of ACPA, RF, and SDAI amounted to 4.6%, 13.2%, and 23.5%, respectively; after 12 months it was 16.9%, 31.4% and 40.5, and after 18 months 23.8%, 35.2%, and 44.3%, respectively.

 

Conclusion: ACPA and RF levels decreased significantly after 6 months of therapy. Reduction of both AAB were closely linked to a reduction of disease activity. RF declined faster, to a larger extent and in greater numbers of patients than ACPA. Further research is needed to investigate whether reductions of ACPA and RF levels are associated with a better radiographic outcome.

 

 

1. De Rycke L et al. Ann Rheum Dis 2004;63(12):1587-93.

2. Aletaha D et al. Ann Rheum Dis 2012;71(7):1190-6.

 

Figure 1: Fractional rank depiction of relative ACPA and RF changes

Figure 2: Differences of ACPA and RF changes between responders and non responders due to SDAI 50 criteria

 


Disclosure:

C. Böhler,
None;

H. Radner,
None;

J. S. Smolen,
None;

D. Aletaha,
None.

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