A1 Refereed original research article in a scientific journal

Predictors of ASDAS-CRP inactive disease in axial spondyloarthritis during treatment with TNF-inhibitors: Data from the EuroSpA collaboration




AuthorsØrnbjerg Lykke M., Linde Louise, Georgiadis Stylianos, Rasmussen Simon H., Lindström Ulf, Askling Johan, Michelsen Brigitte, Giuseppe Daniela Di, Wallman Johan K., Pavelka Karel, Závada Jakub, Nissen Michael J., Jones Gareth T., Relas Heikki, Pirilä Laura, Tomšič Matija, Rotar Ziga, Geirsson Arni Jon, Gudbjornsson Bjorn, Kristianslund Eirik K., van sder Horst-Bruinsma Irene, Loft Anne Gitte, Laas Karin, Iannone Florenzo, Corrado Addolorata, Ciurea Adrian, Santos Maria J., Santos Helena., Codreanu Catalin, Akkoc Nurullah, Gunduz Ozgul S., Glintborg Bente, Østergaard Mikkel, Hetland Merete Lund

PublisherW.B. Saunders

Publication year2022

Journal: Seminars in Arthritis and Rheumatism

Journal name in sourceSeminars in Arthritis and Rheumatism

Volume56

eISSN1532-866X

DOIhttps://doi.org/10.1016/j.semarthrit.2022.152081

Publication's open availability at the time of reportingOpen Access

Publication channel's open availability Partially Open Access publication channel

Web address https://www.sciencedirect.com/science/article/pii/S0049017222001329?via%3Dihub

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/176575299


Abstract

Objectives
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.


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Last updated on 2024-26-11 at 20:08