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Clinical and molecular data to predict flares in DMARD optimization in rheumatoid arthritis: a randomized, controlled, open-label, non-inferiority trial

Title: Clinical and molecular data to predict flares in DMARD optimization in rheumatoid arthritis: a randomized, controlled, open-label, non-inferiority trial
Authors: Blanco García, Francisco J; Galindo, Laura; Acasuso, Belén; Balboa-Barreiro, Vanesa; Cañete, Juan D.; Fernández-Gutiérrez, Benjamín; González-Álvaro, Isidoro; Pablos, José L.; Bejerano-Herrería, Carmen; Silva-Díaz, Maite; Rego-Pérez, I.; Lourido, Lucía; Ruiz-Romero, Cristina; Uriarte-Ecenarro, Miren; García-Vicuña, Rosario; Cuervo, Andrea; Ramírez, Julio; Celis, Raquel; Rodríguez-Rodríguez, Luis; Abasolo, Lydia; Freites Núñez, Dalifer; Martín-López, María; De-Toro, Javier; Oreiro Villar, Natividad
Publisher Information: Oxford University Press
Publication Year: 2026
Collection: RUC - Repositorio Universidade Coruña
Subject Terms: bDMARDs; Flares; Personalized medicine; Predictive models; Rheumatoid arthritis; Sustained remission
Description: Clinical trial ; [Abstract] Objectives: The aim of this study was to identify robust predictive markers which may help personalize tapering protocols, minimizing flare risk while optimizing long-term disease management in RA patients. Methods: The OPTIBIO trial (EudraCT 2012-004482-40) was a phase IV, randomized, open-label, non-inferiority study conducted in five hospitals in Spain. RA patients in sustained remission on stable bDMARD therapy were randomized 1:1 to standard care or dose reduction. The primary outcome was to compare the proportion of joint flare between baseline and 12 months by a non-inferiority analysis analysed by the intention-to-treat principle and to identify predictors for flare and sustained remission. Results: A total of 195 patients were randomized: 99 to the control group and 96 to the optimization group. Thirty-nine flares occurred (optimization: 22.7%, control: 17.2%), with a risk difference of -5.5% (95% CI: -16.8% to 5.7%; P = 0.33). Two predictive models were developed: one for flares (AUC: 0.84) including 3v-DAS28-CRP, VAS pain, erosions, systolic blood pressure and haemoglobin, and another for sustained remission (AUC: 0.77) including 3v-DAS28-CRP, age and rheumatoid factor. Adding molecular biomarkers improved AUCs to 0.91 and 0.88, respectively. No significant differences in adverse events were observed. Conclusion: bDMARD dose optimization was not non-inferior to standard therapy on the flare rate but demonstrated similar safety. Predictive models for remission and flares were developed, which may help select patients to ensure safe implementation of this strategy, highlighting the need for personalized treatment. ; This study has been funded by Instituto de Salud Carlos III (ISCIII) through the projects PMP15/00032 and PMP22/00101 co-funded by the European Regional Development Fund ‘A way to make Europe’; funded by ISCIII, co-funded by the European Union and projects PI20/00793, PI22/01155, PI23/00818 and RD21/0002/0009 funded by Instituto de Salud Carlos III–European ...
Document Type: article in journal/newspaper
File Description: application/pdf; application/vnd.openxmlformats-officedocument.wordprocessingml.document
Language: English
Relation: https://doi.org/10.1093/rheumatology/keag050; info:eu-repo/grantAgreement/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 (ISCIII)/PI20%2F00793/ES/DESARROLLO DE SOLUCIONES INTEGRADAS DE ANALITICA PREDICTIVA PARA PERSONALIZAR LA FARMACOTERAPIA EN PACIENTES CON ARTRITIS REUMATOIDE/; Xunta de Galicia; IN607A2021/07; Xunta de Galicia; IN607A_2025/11; https://hdl.handle.net/2183/47755
DOI: 10.1093/rheumatology/keag050
Availability: https://hdl.handle.net/2183/47755; https://doi.org/10.1093/rheumatology/keag050
Rights: Attribution-NonCommercial 4.0 International ; http://creativecommons.org/licenses/by-nc/4.0/ ; open access
Accession Number: edsbas.30ECD341
Database: BASE