A Study on the Prevalence of the Modified Citrullinated Vimentin Anti-body (Anti-MCV) in an Irish Rheumatoid Arthritis (RA) Population and to Assess the Impact of Anti-MCV and the Anti-cyclic-citrullinated Peptide Antibody (Anti-CCP) Status on the Management of Irish Patients With Early RA
Study Details
Protocol Summary
A key challenge in the management of patients with Rheumatoid Arthritis (RA) is the early identification of patients that are at risk of developing a severe and destructive disease. A better understanding of prognostic factors such as anti-CCP and anti-MCV biomarkers, is needed in order to better identify patients with early Rheumatoid Arthritis that are at risk of developing aggressive diseases. At the present time the prevalence of one such biomarker, namely anti-MCV, is unknown in an Irish Rheumatoid Arthritis population. This study will establish the prevalence of anti-MCV in such a population.
A second challenge in the management of Rheumatoid Arthritis patients is the determination of the best treatment strategy tailored to individual patient's needs. In routine practice, treatment approaches are based on the patient history and the availability of clinical parameters, such as a positive anti-CCP status, which is associated with worst prognostics. At the present time, the impact of a positive anti-CCP status on patients' management has not been formally studied in Ireland The proposed study will provide data on the prevalence of anti-MCV in an Irish RA population and the use of anti-CCP and other clinical parameters currently used in routine care. In addition, the present study will evaluate the impact of the known anti-CCP status on patients' management. Associations between the anti-CCP and anti-MCV status and clinical outcome measures will be assessed.
The results from the present study will have significant implications not only for the individual patient but also from the societal perspective, since it will enhance the overall understanding and applications of different treatment approaches based on individual patients' profile.