Elsevier

Journal of Autoimmunity

Volume 105, December 2019, 102298
Journal of Autoimmunity

Predicting drug-free remission in rheumatoid arthritis: A prospective interventional cohort study

https://doi.org/10.1016/j.jaut.2019.06.009Get rights and content
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open access

Highlights

  • Treatment may be safely stopped in 50% of rheumatoid arthritis remission cases.

  • Drug-free remission is predicted by clinical, serum and transcriptional biomarkers.

  • Validation of our findings will guide personalised treatment withdrawal in RA.

Abstract

Background

Many patients with rheumatoid arthritis (RA) achieve disease remission with modern treatment strategies. However, having achieved this state, there are no tests that predict when withdrawal of therapy will result in drug-free remission rather than flare. We aimed to identify predictors of drug-free remission in RA.

Methods

The Biomarkers of Remission in Rheumatoid Arthritis (BioRRA) Study was a unique, prospective, interventional cohort study of complete and abrupt cessation of conventional synthetic disease-modifying anti-rheumatic drugs (DMARDs). Patients with RA of at least 12 months duration and in clinical and ultrasound remission discontinued DMARDs and were monitored for six months. The primary outcome was time-to-flare, defined as disease activity score in 28 joints with C-reactive protein (DAS28-CRP) ≥ 2.4. Baseline clinical and ultrasound measures, circulating inflammatory biomarkers, and peripheral CD4+ T cell gene expression were assessed for their ability to predict time-to-flare and flare/remission status by Cox regression and receiver-operating characteristic (ROC) analysis respectively.

Results

23/44 (52%) eligible patients experienced an arthritis flare after a median (IQR) of 48 (31.5–86.5) days following DMARD cessation. A composite score incorporating five baseline variables (three transcripts [FAM102B, ENSG00000228010, ENSG00000227070], one cytokine [interleukin-27], one clinical [Boolean remission]) differentiated future flare from drug-free remission with an area under the ROC curve of 0.96 (95% CI 0.91–1.00), sensitivity 0.91 (0.78–1.00) and specificity 0.95 (0.84–1.00).

Conclusion

We provide proof-of-concept evidence for predictors of drug-free remission in RA. If validated, these biomarkers could help to personalize immunosuppressant withdrawal: a therapy paradigm shift with ensuing patient and economic benefits.

Keywords

Rheumatoid arthritis
Drug-free remission
Disease-modifying anti-rheumatic drug
Biomarker
Cessation
CD4+ T cell

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