Abstract

Aim: To describe the longitudinal active joint count (AJC) trajectories in juvenile idiopathic arthritis (JIA). Methods: A retrospective cohort study at two Canadian centres was performed. The longitudinal trajectories of AJC were described using latent growth curve modeling. The association of baseline characteristics stratified by trajectory group was examined by univariate methods. Results: Data were analyzed for 659 children diagnosed with JIA between 1990/03-2009/09. A maximum of 10 years of follow-up data were included in the analysis. Participants were classified into 5 statistically and clinically distinct AJC trajectories by latent GCM. Conclusions: Using a novel longitudinal statistical method we were able to classify patients with JIA based on their pattern of AJC over time. The trajectory classes need to be examined for their relationship to important genetic and biological predictors. Identification of patterns of disease course is important in working towards the development of a clinically relevant outcome-based classification system in JIA.%%%%MAST

Highlights

  • Data were analyzed for 659 children diagnosed with juvenile idiopathic arthritis (JIA) between 1990/03-2009/09

  • Using a novel longitudinal statistical method we were able to classify patients with JIA based on their pattern of active joint count (AJC) over time

  • The trajectory classes will need to be examined for their predictive ability for distal outcomes and relationship to important genetic and biological predictors

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Summary

Introduction

Characterization of active joint count trajectories in juvenile idiopathic arthritis Roberta A Berard2*, George Tomlinson4, Xiuying Li4, Kiem G Oen5, Alan M Rosenberg3, Brian M Feldman1, Rae SM Yeung1, Claire Bombardier5 From 2011 Pediatric Rheumatology Symposium sponsored by the American College of Rheumatology Miami, FL, USA. Purpose To describe the longitudinal active joint count (AJC) trajectories in juvenile idiopathic arthritis (JIA) and to examine the association of baseline characteristics with these trajectories. Methods A retrospective cohort study at two Canadian centres was performed.

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