Current Favourable 10-Year Outcome of Patients with Early Rheumatoid Arthritis: Data from the ESPOIR Cohort

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Combe, Bernard | Rincheval, Nathalie | Berenbaum, Francis | Boumier, Patrick | Cantagrel, Alain | Dieudé, Philippe | Dougados, Maxime | Fautrel, Bruno | Flipo, Rene-Marc | Goupille, Philippe | Mariette, Xavier | Saraux, Alain | Schaeverbeke, Thierry | Sibilia, Jean | Vittecoq, Olivier | Daurès, Jean-Pierre

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International audience. Abstract Objective To report the 10-year outcome of an inception cohort of patients with early rheumatoid arthritis (RA), the ESPOIR cohort, and predictors of outcome. Methods From 2003 to 2005, 813 patients were included if they had early arthritis (<6\,months) with a high probability of RA and had never been prescribed DMARDs. Multivariate analysis was used to evaluate predictors of outcome. Results In total, 521 (64.1%) RA patients were followed up for 10\,years; 35 (4.3%) died, which appears to be similar to the French general population. Overall, 480 (92.1%) patients received a DMARD; 174 (33.4%) received at least one biologic DMARD, 13.6% within 2\,years. At year 10, 273 (52.4%) patients were in DAS28 remission, 40.1% in sustained remission, 14.1% in drug-free remission, 39.7% in CDAI remission. Half of the patients achieved a health assessment questionnaire-disability index (HAQ-DI) < 0.5. SF-36 physical component and pain were well controlled. Structural progression was weak, with a mean change from baseline in modified Sharp score of 11.0\,\,(17.9). Only 34 (6.5%) patients required major joint surgery. A substantial number of patients showed new comorbidities over 10\,years. Positivity for anti-citrullinated peptides antibodies (ACPA) was confirmed as a robust predictor of long-term outcome. Conclusions We report a very mild 10-year outcome of a large cohort of patients with early RA diagnosed in the early 2000s, which was much better than results for a previous cohort of patients who were recruited in 1993. This current favourable outcome may be related to more intensive care for real-life patients.

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