Performance of matrix-based risk models for rapid radiographic progression in a cohort of patients with established rheumatoid arthritis.

ABSTRACT:

Objective

Matrix-based risk models have been proposed as a tool to predict rapid radiographic progression (RRP) in rheumatoid arthritis (RA), but the experience with such models is limited. We tested the performance of 3 risk models for RRP in an observational cohort.

Methods

Subjects from an observational RA cohort with hand radiographs and necessary predictor variables to be classified by the risk models were identified (n = 478). RRP was defined as a yearly change in the Sharp/van der Heijde score of ≥5 units. Patients were placed in the appropriate matrix categories, with a corresponding predicted risk of RRP. The mean predicted probability for cases and noncases, integrated discrimination improvement, Hosmer-Lemeshow statistics, and C statistics were calculated.

Resu

SUBMITTER: Lillegraven S 

PROVIDER: S-EPMC3594116 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature