Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/143581
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dc.contributor.authorØrnbjerg, Lykke M.-
dc.contributor.authorLinde, Louise-
dc.contributor.authorGeorgiadis, Stylianos-
dc.contributor.authorRasmussen, Simon H.-
dc.contributor.authorLindström, Ulf-
dc.contributor.authorAskling, Johan-
dc.contributor.authorMichelsen, Brigitte-
dc.contributor.authorGiuseppe, Daniela Di-
dc.contributor.authorWallman, Johan K.-
dc.contributor.authorPavelka, Karel-
dc.contributor.authorZávada, Jakub-
dc.contributor.authorNissen, Michael J.-
dc.contributor.authorJones, Gareth T.-
dc.contributor.authorRelas, Heikki-
dc.contributor.authorPirilä, Laura-
dc.contributor.authorTomšič, Matija-
dc.contributor.authorRotar, Ziga-
dc.contributor.authorGeirsson, Arni Jon-
dc.contributor.authorGudbjornsson, Bjorn-
dc.contributor.authorKristianslund, Eirik K.-
dc.contributor.authorvan sder Horst-Bruinsma, Irene-
dc.contributor.authorLoft, Anne Gitte-
dc.contributor.authorLaas, Karin-
dc.contributor.authorIannone, Florenzo-
dc.contributor.authorCorrado, Addolorata-
dc.contributor.authorCiurea, Adrian-
dc.contributor.authorSantos, Maria J.-
dc.contributor.authorSantos, Helena-
dc.contributor.authorCodreanu, Catalin-
dc.contributor.authorAkkoc, Nurullah-
dc.contributor.authorGunduz, Ozgul S.-
dc.contributor.authorGlintborg, Bente-
dc.contributor.authorØstergaard, Mikkel-
dc.contributor.authorHetland, Merete Lund-
dc.date.accessioned2022-09-07T23:14:48Z-
dc.date.available2022-09-07T23:14:48Z-
dc.date.issued2022-10-
dc.identifier.issn0049-0172-
dc.identifier.otherPURE: 46203886-
dc.identifier.otherPURE UUID: b8d634af-5152-479a-9474-51f0ef966e25-
dc.identifier.otherScopus: 85135923596-
dc.identifier.urihttp://hdl.handle.net/10362/143581-
dc.descriptionFunding Information: LMØ, LL, SG and SHR: research grants from Novartis; UL: none; DDG none; JKW: consultant of AbbVie, Amgen, Celgene, Eli Lilly and Novartis; BG: research grants from Pfizer, Abbvie and BMS; LP: consultant of Novartis Finland, UCB Pharma, Pfizer, Sanofi, BMS, AbbVie, Amgen, Celgene, Eli Lilly, Boehringer-Ingelheim, Mylan; KL: consulting and/or speaking fees from Amgen, Johnson and Johnson and Novartis; ACo: research grants, consulting and/or speaking fees from Amgen, Lilly, Pfizer, Boehringer Ingelheim; KP: speaker and consulting fees from Pfizer, MSD, BMS, UCB, Amgen, Egis, Roche, AbbVie; JZ: speaker and consulting fees from Abbvie, Elli-Lilly, Sandoz, Novartis, Egis, UCB; EKK: none; NA: speaking fees from Pfizer; ÖSG: none; HS: research grant from Sociedade Portuguesa de Reumatologia and speaker and/or consultancy fees from Abbvie, Janssen, Lilly, Novartis and Pfizer; MJN: consulting and/or speaking fees from AbbVie, Eli Lilly, Janssens, Novartis and Pfizer; BM: research grant from Novartis; GTJ: research grants from AbbVie, Pfizer, UCB, Amgen, GSK. Speaker fee from Janssen; HR: consulting and/or speaking fees from Abbvie, Celgene, Pfizer, UCB, and Viatris; MT: consulting and/or speaking fees from Abbvie, Amgen, Biogen, Eli Lilly, Janssen, Medis, MSD, Novartis, Pfizer, Sanofi, Sandoz-Lek; AJG: none; IHB: Consultant for Abbvie, UCB, MSD, Novartis, Lilly, unrestricted Grants received for investigator initiated studies from: MSD, Pfizer, AbbVie, UCB, fees received for Lectures from BMS, AbbVie, Pfizer, MSD ; JA: PI for agreements between Karolinska Institutet and Abbvie, Astra-Zeneca, BMS, Eli Lilly, Janssen, MSD, Pfizer, Roche, Samsung Bioepis, Sanofi, and UCB; FI: consulting and/or speaking from Abbvie, Amgen, AstraZeneca, BMS, Galapagos, Janssen, Lilly, MSD, Novartis, Pfizer, Roche and UCB; AGL: Research Grant from Novartis, and speaker and/or consultancy fees from AbbVie, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, and UCB; ACi: consulting and/or speaking fees from AbbVie, Eli Lilly, Merck Sharp & Dohme, Novartis and Pfizer; MJS: speaker fees from Abbvie, AstraZeneca, Lilly, Novartis and Pfizer; CC: Speaker and consultancy fees from AbbVie, Amgen, Boehringer Ingelheim, Ewopharma, Lilly, Novartis, Pfizer; ZR: speaker or consultancy fees from Abbvie, Novartis, MSD, Medis, Biogen, Eli Lilly, Pfizer, Sanofi, Lek, Janssen; BjG: consulting and/or speaking fees from Amgen and Novartis; MØ: research grants from Abbvie, BMS, Merck, Celgene and Novartis, and speaker and/or consultancy fees from Abbvie, BMS, Boehringer-Ingelheim, Celgene, Eli-Lilly, Hospira, Janssen, Merck, Novartis, Novo, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi and UCB; MLH: Research grants from Abbvie, Biogen, BMS, Celltrion, Eli Lilly, Janssen Biologics B.V, Lundbeck Fonden, MSD, Medac, Pfizer, Roche, Samsung Biopies, Sandoz, Novartis. Funding Information: This work was supported by Novartis Pharma AG . Publisher Copyright: © 2022-
dc.description.abstractObjectives: In patients with axial spondyloarthritis (axSpA) initiating their first tumor necrosis factor alpha-inhibitor (TNFi), we aimed to identify common baseline predictors of Ankylosing Spondylitis Disease Activity Score (ASDAS-CRP) inactive disease (primary objective) and clinically important improvement (CII) at 6 months, and drug retention at 12-months across 15 European registries. Methods: Baseline demographic and clinical characteristics were collected. Outcomes were investigated per registry and in pooled data using logistic regression analyses on multiply imputed data. Results: The consistency of baseline predictors in individual registries justified pooling the data. In the pooled dataset (n = 21,196), the 6-month rates for ASDAS inactive disease and ASDAS CII were 26% and 51%, and the 12-month drug retention rate 65% in patients with available data (n = 9,845, n = 6,948 and n = 21,196, respectively). Nine common baseline predictors of ASDAS inactive disease, ASDAS CII and 12-month drug retention were identified, and the odds ratios (95%-confidence interval) for ASDAS inactive disease were: age, per year: 0.97 (0.97–0.98), men vs. women: 1.88 (1.60–2.22), current vs. non-smoking: 0.76 (0.63–0.91), HLA-B27 positive vs. negative: 1.51 (1.20–1.91), TNF start year 2015–2018 vs. 2009–2014: 1.24 (1.06–1.45), CRP>10 vs. ≤10 mg/l: 1.49 (1.25–1.77), one unit increase in health assessment questionnaire (HAQ): 0.77 (0.58–1.03), one-millimeter (mm) increase in Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) fatigue and spinal pain: 0.99 (0.99–1.00) and 0.99 (0.99–1.99), respectively Conclusion: Common baseline predictors of treatment response and adherence to TNFi could be identified across data from 15 European registries, indicating that they may be universal across different axSpA populations.en
dc.language.isoeng-
dc.rightsopenAccess-
dc.subjectAnkylosing spondylitis disease activity score-
dc.subjectAxial spondyloarthritis-
dc.subjectPredictors-
dc.subjectTNF-inhibitors-
dc.subjectRheumatology-
dc.subjectAnesthesiology and Pain Medicine-
dc.titlePredictors of ASDAS-CRP inactive disease in axial spondyloarthritis during treatment with TNF-inhibitors-
dc.typearticle-
degois.publication.titleSeminars in Arthritis and Rheumatism-
degois.publication.volume56-
dc.peerreviewedyes-
dc.identifier.doihttps://doi.org/10.1016/j.semarthrit.2022.152081-
dc.description.versionpublishersversion-
dc.description.versionpublished-
dc.title.subtitleData from the EuroSpA collaboration-
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)-
dc.contributor.institutionCentro de Estudos de Doenças Crónicas (CEDOC)-
Aparece nas colecções:NMS: CEDOC - Artigos em revista internacional com arbitragem científica

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