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

UDC.coleccionInvestigación
UDC.departamentoFisioterapia, Medicina e Ciencias Biomédicas
UDC.grupoInvGrupo de Investigación en Reumatoloxía e Saúde (GIR-S)
UDC.grupoInvGrupo de Investigación en Terapia Celular e Medicina Rexenerativa (TCMR)
UDC.grupoInvReumatoloxía (INIBIC)
UDC.grupoInvTerapia Celular e Medicina Rexenerativa (INIBIC)
UDC.institutoCentroCICA - Centro Interdisciplinar de Química e Bioloxía
UDC.institutoCentroInstituto Universitario de Estudos Irlandeses Amergin
UDC.institutoCentroINIBIC - Instituto de Investigacións Biomédicas de A Coruña
UDC.issue3
UDC.journalTitleRheumatology
UDC.startPagekeag050
UDC.volume65
dc.contributor.authorBlanco García, Francisco J
dc.contributor.authorGalindo, Laura
dc.contributor.authorAcasuso, Belén
dc.contributor.authorBalboa-Barreiro, Vanesa
dc.contributor.authorCañete, Juan D.
dc.contributor.authorFernández-Gutiérrez, Benjamín
dc.contributor.authorGonzález-Álvaro, Isidoro
dc.contributor.authorPablos, José L.
dc.contributor.authorBejerano-Herrería, Carmen
dc.contributor.authorSilva-Díaz, Maite
dc.contributor.authorRego-Pérez, I.
dc.contributor.authorLourido, Lucía
dc.contributor.authorRuiz-Romero, Cristina
dc.contributor.authorUriarte-Ecenarro, Miren
dc.contributor.authorGarcía-Vicuña, Rosario
dc.contributor.authorCuervo, Andrea
dc.contributor.authorRamírez, Julio
dc.contributor.authorCelis, Raquel
dc.contributor.authorRodríguez-Rodríguez, Luis
dc.contributor.authorAbasolo, Lydia
dc.contributor.authorFreites Núñez, Dalifer
dc.contributor.authorMartín-López, María
dc.contributor.authorDe-Toro, Javier
dc.contributor.authorOreiro Villar, Natividad
dc.date.accessioned2026-03-20T11:22:44Z
dc.date.available2026-03-20T11:22:44Z
dc.date.issued2026-01-29
dc.descriptionClinical trial
dc.description.abstract[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.
dc.description.sponsorshipThis 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 Union-NextGenerationEU and supported by CIBER-Consorcio Centro de Investigacion Biomedica en Red- (CB06/01/0040), ISCIII. We also counted upon funding from grant IN607A2021/07 and IN607A_2025/11 from Xunta de Galicia. L.G. is a PhD student supported by Cátedra FSR-UDC, Universidad de A Coruña.
dc.identifier.citationBlanco FJ, Galindo L, Acasuso B, Balboa-Barreiro V, Cañete JD, Fernández-Gutiérrez B, González-Álvaro I, Pablos Álvarez JL, Bejerano-Herrería C, Silva-Díaz M, Rego-Perez I, Lourido L, Ruiz-Romero C, Uriarte-Ecenarro M, García-Vicuña R, Cuervo A, Ramírez J, Celis R, Rodríguez-Rodríguez L, Abasolo Alcázar L, Freites Nuñez D, Martín-López M, Toro-Santos FJ, Oreiro N. Clinical and molecular data to predict flares in DMARD optimization in rheumatoid arthritis: a randomized, controlled, open-label, non-inferiority trial. Rheumatology (Oxford). 2026 Mar 5;65(3):keag050.
dc.identifier.doi10.1093/rheumatology/keag050
dc.identifier.issn1462-0324
dc.identifier.urihttps://hdl.handle.net/2183/47755
dc.language.isoeng
dc.publisherOxford University Press
dc.relation.projectIDinfo: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/
dc.relation.projectIDXunta de Galicia; IN607A2021/07
dc.relation.projectIDXunta de Galicia; IN607A_2025/11
dc.relation.urihttps://doi.org/10.1093/rheumatology/keag050
dc.rightsAttribution-NonCommercial 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectbDMARDs
dc.subjectFlares
dc.subjectPersonalized medicine
dc.subjectPredictive models
dc.subjectRheumatoid arthritis
dc.subjectSustained remission
dc.titleClinical and molecular data to predict flares in DMARD optimization in rheumatoid arthritis: a randomized, controlled, open-label, non-inferiority trial
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublicationf357279a-035a-4279-a553-99cfd79bd2bb
relation.isAuthorOfPublication0e74fe59-0ba6-4c41-8c22-85585a8c9d01
relation.isAuthorOfPublication.latestForDiscoveryf357279a-035a-4279-a553-99cfd79bd2bb

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