Synovial tissue signatures enhance clinical classification and prognostic/treatment response algorithms in early inflammatory arthritis and predict requirement for subsequent biological therapy: results from the pathobiology of early arthritis cohort (PEAC)

Gloria Lliso-Ribera,Peter C Taylor,Michael J Townsend,Costantino Pitzalis,Stephen Kelly,Myles Lewis,Iain Mcinnes,Ernest H Choy,Daniele Mauro,Alberto Cauli,Rebecca Hands,Frances Humby,Felice Rivellese,Fabiola Bene,Nandhini Ramamoorthi,Andrew Filer,Alessandra Nerviani,Jason A Hackney

doi:10.1136/annrheumdis-2019-215751

Synovial tissue signatures enhance clinical classification and prognostic/treatment response algorithms in early inflammatory arthritis and predict requirement for subsequent biological therapy: results from the pathobiology of early arthritis cohort (PEAC)

Gloria Lliso-Ribera, Peter C Taylor + Show 16 more

Open Access

https://doi.org/10.1136/annrheumdis-2019-215751

Copy DOI

Journal: Annals of the Rheumatic Diseases	Publication Date: Oct 2, 2019
Citations: 77	License type: open-access

Affiliation: Nuffield Orthopaedic Centre, University of Oxford, William Harvey Research Institute, Barts Health NHS Trust, Queen Mary University of London, University of Glasgow, Cardiff University, University of Cagliari, University of Birmingham

#Early Arthritis #Undifferentiated Arthritis + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

ObjectiveTo establish whether synovial pathobiology improves current clinical classification and prognostic algorithms in early inflammatory arthritis and identify predictors of subsequent biological therapy requirement.Methods200 treatment-naïve patients with early arthritis were...

Full Text