Literature DB >> 28595367

Limited value for ultrasonography in predicting flare in rheumatoid arthritis patients with low disease activity stopping TNF inhibitors.

Femke B Lamers-Karnebeek1, Jolanda J Luime2, David F Ten Cate2, Steven Teerenstra3, Nanno W A A Swen4, Andreas H Gerards5, Jos Hendrikx6, Emma M van Rooyen1, Ramon Voorneman7, Cees Haagsma8, Natalja Basoski9, Mike de Jager10, Marjan Ghiti Moghadam11, Monique N Efde12, Yvonne P M Goekoop-Ruiterman13, Piet L C M van Riel6, Johannes W G Jacobs14, Tim L Jansen12.   

Abstract

Objective: Ultrasonography (US) can be used for treatment decisions in RA patients. This study investigated the added value of US to clinical variables in predicting flare in RA patients with longstanding low disease activity when stopping TNF inhibitors (TNFi).
Methods: Cox models with and without using US added to clinical variables were developed in the Potential Optimization of Expediency of TNFi-UltraSonography study. RA patients (n = 259), using >1 year TNFi and csDMARD with DAS28 < 3.2 for 6 months prior to inclusion, were followed for 52 weeks after stopping TNFi. The added value of US was assessed in two ways: first, by the extent to which individual predictions for flare at 52 weeks with and without US differed; and second, by comparing how US information improved the prediction to classify patients at 52 weeks in the low risk (<33% flare), intermediate risk (33-50%) and high risk (50-100%) groups.
Results: Although US was predictive of flare at group level (multivariate hazard ratio = 1.7; 95% CI: 1.1, 2.5), individual predictions for flare at 52 weeks with and without US differed little (median difference 3.7%; interquartile range: -7.8 to 6.5%). With US, 15.9% of patients were designated low risk; without US, 14.6%. In fact, 12.0% of patients were US-classified as low risk with/without knowing US.
Conclusion: In RA patients with longstanding low disease activity, at time of stopping TNFi, US is a predictor for flare at group level, but at the patient level, US has limited added value when common clinical parameters are used already, though the predictive value of clinical predictors is modest as well.
© The Author 2017. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Entities:  

Keywords:  TNFi; low disease activity; prediction; remission; rheumatoid arthritis; ultrasonography

Mesh:

Substances:

Year:  2017        PMID: 28595367     DOI: 10.1093/rheumatology/kex184

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  3 in total

1.  Flares in Rheumatoid Arthritis Patients with Low Disease Activity: Predictability and Association with Worse Clinical Outcomes.

Authors:  Katie Bechman; Lieke Tweehuysen; Toby Garrood; David L Scott; Andrew P Cope; James B Galloway; Margaret H Y Ma
Journal:  J Rheumatol       Date:  2018-09-01       Impact factor: 4.666

2.  Design of a phase IV randomised, double-blind, placebo-controlled trial assessing the ImPact of Residual Inflammation Detected via Imaging TEchniques, Drug Levels and Patient Characteristics on the Outcome of Dose TaperIng of Adalimumab in Clinical Remission Rheumatoid ArThritis (RA) patients (PREDICTRA).

Authors:  Paul Emery; Gerd R Burmester; Esperanza Naredo; Yijie Zhou; Maja Hojnik; Philip G Conaghan
Journal:  BMJ Open       Date:  2018-02-28       Impact factor: 2.692

Review 3.  Defining the Optimal Strategies for Achieving Drug-Free Remission in Rheumatoid Arthritis: A Narrative Review.

Authors:  Hanna Gul; Kate Harnden; Benazir Saleem
Journal:  Healthcare (Basel)       Date:  2021-12-13
  3 in total

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