An index of the three core data set patient questionnaire measures distinguishes efficacy of active treatment from that of placebo as effectively as the American College of Rheumatology 20% response criteria (ACR20) or the Disease Activity Score (DAS) in a rheumatoid arthritis clinical trial

Abstract

Objective To evaluate the capacity of a pooled index of only the 3 patient self-report questionnaire measures among the 7 American College of Rheumatology (ACR) core data set (Core Data Set) measures to distinguish efficacy of active treatment of rheumatoid arthritis (RA) with leflunomide or methotrexate versus placebo in a randomized, controlled clinical trial, and to compare the results with those obtained using the ACR 20% response criteria (ACR20), Disease Activity Score (DAS), and other pooled indices. Methods The 7 ACR Core Data Set measures of 1) joint swelling, 2) joint tenderness, 3) physician global assessment, 4) erythrocyte sedimentation rate (ESR), 5) functional disability, 6) pain, and 7) patient global assessment were combined into the following 5 pooled indices: "All Core Data Set" (all 7 measures), "Assessor Only" (measures 1-3), "Assessor + ESR" (measures 1-4), "Patient Only" (measures 5-7), and "Patient + ESR" (measures 4-7). The capacity of each of these 5 indices to detect differences between active treatment and placebo treatment was compared with that of the ACR20 and the DAS using 4 different analytic methods, each of which presented advantages and limitations. Agreement of the indices with one another and with the ACR20 and the DAS was analyzed according to pairwise kappa statistics and Z scores in multivariate logistic regression models. Results Each of the 5 indices, including "Patient Only," had a similar capacity to detect greater efficacy of lefl…