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A stratified approach to juvenile idiopathic arthritis: leveraging machine learning to uncover subgroups of patients following treatment with etanercept
Journal article   Open access   Peer reviewed

A stratified approach to juvenile idiopathic arthritis: leveraging machine learning to uncover subgroups of patients following treatment with etanercept

Stephanie J W Shoop-Worrall, Saskia Lawson-Tovey, UK JIA Biologics Register Investigators, CAPS Investigators, CHARMS Investigators, CLUSTER Consortium, Lucy R Wedderburn, Kimme L Hyrich and Nophar Geifman
Rheumatology advances in practice, rkag088
20/07/2026

Abstract

Biologics Stratified medicine
Objectives To facilitate a stratified approach to treatment of juvenile idiopathic arthritis (JIA), to uncover trajectory-based patterns of key clinical outcomes following etanercept (ETN) initiation in children and young people (CYP). Methods ETN-naïve CYP with non-systemic JIA recruited to one of three UK, prospective, multicentre cohorts were selected if they started ETN between 2001 and 2019. JADAS71 components (active joint count, physician global assessment (PGA), parent global evaluation (PGE), ESR) were collected in the year following ETN initiation. Clusters of CYP based on JADAS71 component trajectory patterns following ETN initiation were identified using multivariate group-based trajectory models, adjusting for year of ETN initiation. Multinomial logistic regression identified independent predictors of outcome clusters. In a subset of CYP with previously determined MTX trajectories, response clusters were compared descriptively. Results In 1003 CYP, five clusters were identified following ETN initiation. In three clusters, JADAS components changed in parallel: Fast Improvers (16%), Slow Improvers (10%) and Persistent Disease (37%). In two, all components except for one improved over time: Persistent PGA (7%) and Persistent PGE (30%). Where both MTX and ETN trajectories were available (n = 139), 69% of CYP with Persistent Disease following MTX were assigned to other response clusters following ETN initiation. There was high consistency (73%) of CYP having Persistent PGE pattern following both drugs. Conclusions Across multiple disease-modifying anti-rheumatic drugs, JIA disease activity does not always improve to similar degrees across the different features of disease. A majority of CYP initially experiencing Persistent Disease with MTX fall into a response group following ETN.
url
https://doi.org/10.1093/rap/rkag088View
Published (Version of record) Open CC BY V4.0

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