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-RiberaFrances Humby Myles J Lewis Alessandra NervianiDaniele MauroFelice RivelleseStephen KellyRebecca HandsFabiola BeneNandhini RamamoorthiJason A HackneyAlberto CauliErnest H ChoyAndrew FilerPeter C TaylorIain McInnesMichael J TownsendCostantino Pitzalis

Published in: Annals of the rheumatic diseases (2019)

The capacity to refine early clinical classification criteria through synovial pathobiological markers offers the potential to predict disease outcome and stratify therapeutic intervention to patients most in need.

Keyphrases

machine learning
deep learning
rheumatoid arthritis
end stage renal disease
randomized controlled trial
ejection fraction
newly diagnosed
chronic kidney disease
gene expression
risk assessment
bone marrow
patient reported outcomes
replacement therapy
smoking cessation