Novel methodology to discern predictors of remission and patterns of disease activity over time using rheumatoid arthritis clinical trials data.

ABSTRACT:

Objectives

To identify predictors of remission and disease activity patterns in patients with rheumatoid arthritis (RA) using individual participant data (IPD) from clinical trials.

Methods

Phase II and III clinical trials completed between 2002 and 2012 were identified by systematic literature review and contact with UK market authorisation holders. Anonymised baseline and follow-up IPD from non-biological arms were amalgamated. Multiple imputation was used to handle missing outcome and covariate information. Random effects logistic regression was used to identify predictors of remission, measured by the Disease Activity Score 28 (DAS28) at 6 months. Novel latent class mixed models characterised DAS28 over time.

Results

IPD of 3290 participants from 18 trials

SUBMITTER: RA-MAP Consortium 

PROVIDER: S-EPMC6241979 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature