Application of a prediction model for the progression of rheumatoid arthritis in patients with undifferentiated arthritis

Introduction: Different prediction rules have been applied to patients with undifferentiated arthritis (UA) to identify those that progress to rheumatoid arthritis (RA). The Leiden Prediction Rule (LPR) has proven useful in different UA cohorts. Objective: To apply the LPR to a cohort of patients with UA of northeastern Mexico. Methods: We included 47 patients with UA, LPR was applied at baseline. They were evaluated and then classified after one year of follow-up into two groups: those who progressed to RA (according to ACR 1987) and those who did not. Results: 43% of the AI patients developed RA. In the RA group, 56% of patients obtained a score < 6 and only 15% > 8. 70% who did not progress to RA had a score between 6 and < 8. There was no difference in median score of LPR between groups, p = 0.940. Conclusion: Most patients who progressed to RA scored less than 6 points in the LPR. Unlike what was observed in other cohorts, the model in our population did not allow us to predict the progression of the disease. (C) 2013 Elsevier Espana, S.L.U. All rights reserved.