Predictors of long-term clinical response in patients with non-radiographic axial spondyloarthritis receiving certolizumab pegol

Walter P Maksymowych, Thomas Kumke, Simone E Auteri, Bengt Hoepken, Lars Bauer, Martin Rudwaleit, Walter P Maksymowych, Thomas Kumke, Simone E Auteri, Bengt Hoepken, Lars Bauer, Martin Rudwaleit

Abstract

Background: Identification of predictive clinical factors of long-term treatment response may contribute to improved management of non-radiographic axSpA (nr-axSpA) patients. This analysis aims to identify whether any baseline characteristics or Week 12 clinical outcomes in nr-axSpA patients with elevated C-reactive protein (CRP) and/or sacroiliitis on magnetic resonance imaging (MRI) enrolled in the C-axSpAnd study are predictive of achieving clinical response after 1 year of certolizumab pegol (CZP).

Methods: C-axSpAnd (NCT02552212) was a phase 3, multicentre study, including a 52-Week double-blind, placebo-controlled period. Enrolled patients were randomised to CZP 200 mg Q2W or placebo. Predictors of Week 12 (CZP group only) and Week 52 clinical response were identified using a multivariate stepwise logistic regression analysis. Response variables included Ankylosing Spondylitis Disease Activity Score major improvement (ASDAS-MI), Assessment of SpondyloArthritis International Society 40% response (ASAS40), Bath Ankylosing Spondylitis Disease Activity Index 50% response (BASDAI50) and ASDAS inactive disease (ASDAS-ID). Predictive factors assessed included demographic and baseline characteristics and clinical outcomes at Week 12. A p-value <0.05 was required for forward selection into the model and p ≥0.1 for backward elimination. Missing data or values collected after switching to open-label treatment were accounted for using non-responder imputation. Sensitivity analyses accounted for patients with changes in non-biologic background medication.

Results: Of 317 enrolled patients, 159 and 158 were randomised to CZP and placebo, respectively. Younger age and male sex were identified as predictors of Week 12 response across all assessed efficacy outcomes in CZP-treated patients. Consistent predictors of Week 52 response, measured by ASDAS-MI, ASAS40 and BASDAI50, included human leukocyte antigen (HLA)-B27 positivity and sacroiliitis on MRI at baseline. MRI positivity was also predictive of achieving ASDAS-ID at Week 52. Sensitivity analyses were generally consistent with the primary analysis. In placebo-treated patients, no meaningful predictors of Week 52 response were identified.

Conclusions: In this 52-Week, placebo-controlled study in nr-axSpA patients with elevated CRP and/or active sacroiliitis on MRI at baseline, MRI sacroiliitis and HLA-B27 positivity, but not elevated CRP or responses at Week 12, were predictive of long-term clinical response to CZP. Findings may support rheumatologists to identify patients suitable for TNFi treatment.

Trial registration: ClinicalTrials.gov, NCT02552212 . Registered on 15 September 2015.

Keywords: Axial spondyloarthritis; Certolizumab pegol; Predictors; TNF inhibitor.

Conflict of interest statement

WPM: honoraria/consulting fees from AbbVie, Boehringer-Ingelheim, Celgene, Eli Lilly, Galapagos, Janssen, Novartis, Pfizer and UCB Pharma; research grants from AbbVie and Pfizer; educational grants from AbbVie, Janssen, Novartis and Pfizer; Chief Medical Officer for CARE Arthritis Limited. TK, SEA, BH and LB: employees of UCB Pharma; own stock awards in UCB Pharma. MR: speakers bureau for AbbVie, Eli Lilly, Novartis and UCB Pharma; consultant of AbbVie, Celgene, Eli Lilly, Janssen, Novartis and UCB Pharma.

© 2021. The Author(s).

Figures

Fig. 1
Fig. 1
Predictive factors of Week 12 response in CZP-treated patients. Randomised set (NRI). Patients received CZP 200 mg Q2W (400 mg loading dose at Weeks 0, 2 and 4) plus non-biologic background medication. aIncluded in the predictive model as continuous variables; for these factors, an odds ratio >1 indicates a higher probability of larger values being predictive of a response. ASAS40 Assessment of SpondyloArthritis International Society 40%, ASDAS Ankylosing Spondylitis Disease Activity Score, ASDAS-ID ASDAS inactive disease (ASDAS <1.3), ASDAS-MI ASDAS major improvement (reduction in ASDAS ≥2.0), BASDAI50 Bath Ankylosing Spondylitis Disease Activity Index 50%, CI confidence interval, CRP C-reactive protein, CZP certolizumab pegol, NRI non-responder imputation, PtGADA Patient’s Global Assessment of Disease Activity, Q2W every 2 Weeks, ULN upper limit of normal (9.99 mg/L), vs versus
Fig. 2
Fig. 2
Predictive factors of Week 52 response in CZP-treated patients. Randomised set (NRI). Patients received CZP 200 mg Q2W (400 mg loading dose at Weeks 0, 2 and 4) plus non-biologic background medication. aIncluded in the predictive model as continuous variables; for these factors, an odds ratio >1 indicates a higher probability of larger values being predictive of a response. For Week 12 change from baseline measures, a lower (negative) value is indicative of improvement, while larger (positive) values indicate worsening. ASAS40 Assessment of SpondyloArthritis International Society 40%, ASDAS Ankylosing Spondylitis Disease Activity Score, ASDAS-ID ASDAS inactive disease (ASDAS<1.3), ASDAS-MI ASDAS major improvement (reduction in ASDAS≥2.0), ASQoL ankylosing spondylitis quality of life, BASDAI50 Bath Ankylosing Spondylitis Disease Activity Index 50%, BASFI Bath Ankylosing Spondyloarthritis Functional Index, BASMI Bath Ankylosing Spondylitis Metrology Index, CI confidence interval, CZP certolizumab pegol, HLA-B27 human leukocyte antigen-B27, MRI+/− presence/absence of sacroiliitis on magnetic resonance imaging, MASES Maastricht Ankylosing Spondylitis Enthesitis Score (range 0−13), NRI non-responder imputation, NSAID non-steroidal anti-inflammatory drug, PtGADA Patient Global Assessment of Disease Activity, Q2W every 2 Weeks, vs versus

References

    1. Rudwaleit M, van der Heijde D, Khan MA, Braun J, Sieper J. How to diagnose axial spondyloarthritis early. Ann. Rheum. Dis. 2004;63(5):535–543. doi: 10.1136/ard.2003.011247.
    1. Rudwaleit M, Khan MA, Sieper J. The challenge of diagnosis and classification in early ankylosing spondylitis: do we need new criteria? Arthritis Rheum. 2005;52(4):1000–1008. doi: 10.1002/art.20990.
    1. Poddubnyy D. Classification vs diagnostic criteria: the challenge of diagnosing axial spondyloarthritis. Rheumatology (Oxford) 2020;59(Suppl 4):iv6–i17. doi: 10.1093/rheumatology/keaa250.
    1. Hunter T, Sandoval D, Booth N, Holdsworth E, Deodhar A. Comparing symptoms, treatment patterns, and quality of life of ankylosing spondylitis and non-radiographic axial spondyloarthritis patients in the USA: findings from a patient and rheumatologist Survey. Clin. Rheumatol. 2021;40(8):3161–3167. doi: 10.1007/s10067-021-05642-6.
    1. Kiwalkar S, Deodhar A, Howard R. “Rheum to diagnosis”: uncovering impediments to accurate diagnosis of non-radiographic axial spondylarthritis (nr-axSpA) Arthritis Rheumatol. 2020;72(Suppl 10):1–4231.
    1. Protopopov M, Poddubnyy D. Radiographic progression in non-radiographic axial spondyloarthritis. Expert Rev Clin Immunol. 2018;14(6):525–533. doi: 10.1080/1744666X.2018.1477591.
    1. Mandl P, Navarro-Compán V, Terslev L, Aegerter P, van der Heijde D, Agostino MA, et al. EULAR recommendations for the use of imaging in the diagnosis and management of spondyloarthritis in clinical practice. Ann. Rheum. Dis. 2015;74(7):1327. doi: 10.1136/annrheumdis-2014-206971.
    1. van der Heijde D, Ramiro S, Landewé R, Baraliakos X, Van den Bosch F, Sepriano A, et al. 2016 update of the ASAS-EULAR management recommendations for axial spondyloarthritis. Ann. Rheum. Dis. 2017;76(6):978–991. doi: 10.1136/annrheumdis-2016-210770.
    1. Sieper J, van der Heijde D, Dougados M, Mease PJ, Maksymowych WP, Brown MA, et al. Efficacy and safety of adalimumab in patients with non-radiographic axial spondyloarthritis: results of a randomised placebo-controlled trial (ABILITY-1) Ann. Rheum. Dis. 2013;72(6):815–822. doi: 10.1136/annrheumdis-2012-201766.
    1. Sieper J, van der Heijde D, Dougados M, Maksymowych WP, Scott BB, Boice JA, et al. A randomized, double-blind, placebo-controlled, sixteen-week study of subcutaneous golimumab in patients with active nonradiographic axial spondyloarthritis. Arthritis Rheumatol. 2015;67(10):2702–2712. doi: 10.1002/art.39257.
    1. Dougados M, van der Heijde D, Sieper J, Braun J, Maksymowych WP, Citera G, et al. Symptomatic efficacy of etanercept and its effects on objective signs of inflammation in early nonradiographic axial spondyloarthritis: a multicenter, randomized, double-blind, placebo-controlled trial. Arthritis Rheumatol. 2014;66(8):2091–2102. doi: 10.1002/art.38721.
    1. Rudwaleit M, Schwarzlose S, Hilgert ES, Listing J, Braun J, Sieper J. MRI in predicting a major clinical response to anti-tumour necrosis factor treatment in ankylosing spondylitis. Ann. Rheum. Dis. 2008;67(9):1276–1281. doi: 10.1136/ard.2007.073098.
    1. Rudwaleit M, Listing J, Brandt J, Braun J, Sieper J. Prediction of a major clinical response (BASDAI 50) to tumour necrosis factor alpha blockers in ankylosing spondylitis. Ann. Rheum. Dis. 2004;63(6):665–670. doi: 10.1136/ard.2003.016386.
    1. Davis JC, Jr, Van der Heijde DM, Dougados M, Braun J, Cush JJ, Clegg DO, et al. Baseline factors that influence ASAS 20 response in patients with ankylosing spondylitis treated with etanercept. J. Rheumatol. 2005;32(9):1751–1754.
    1. Rudwaleit M, Claudepierre P, Wordsworth P, Cortina EL, Sieper J, Kron M, et al. Effectiveness, safety, and predictors of good clinical response in 1250 patients treated with adalimumab for active ankylosing spondylitis. J. Rheumatol. 2009;36(4):801–808. doi: 10.3899/jrheum.081048.
    1. Glintborg B, Ostergaard M, Krogh NS, Dreyer L, Kristensen HL, Hetland ML. Predictors of treatment response and drug continuation in 842 patients with ankylosing spondylitis treated with anti-tumour necrosis factor: results from 8 years’ surveillance in the Danish nationwide DANBIO registry. Ann. Rheum. Dis. 2010;69(11):2002–2008. doi: 10.1136/ard.2009.124446.
    1. Arends S, Brouwer E, van der Veer E, Groen H, Leijsma MK, Houtman PM, et al. Baseline predictors of response and discontinuation of tumor necrosis factor-alpha blocking therapy in ankylosing spondylitis: a prospective longitudinal observational cohort study. Arthritis Res. Ther. 2011;13(3):R94. doi: 10.1186/ar3369.
    1. Maneiro JR, Souto A, Salgado E, Mera A, Gomez-Reino JJ. Predictors of response to TNF antagonists in patients with ankylosing spondylitis and psoriatic arthritis: systematic review and meta-analysis. RMD open. 2015;1(1):e000017. doi: 10.1136/rmdopen-2014-000017.
    1. Vastesaeger N, van der Heijde D, Inman RD, Wang Y, Deodhar A, Hsu B, et al. Predicting the outcome of ankylosing spondylitis therapy. Ann. Rheum. Dis. 2011;70(6):973–981. doi: 10.1136/ard.2010.147744.
    1. FDA. Certolizumab pegol Product Information (2019). Accessed 25 January 2021.
    1. Deodhar A, Gensler LS, Kay J, Maksymowych WP, Haroon N, Landewé R, et al. A fifty-two-week, randomized, placebo-controlled trial of certolizumab pegol in nonradiographic axial spondyloarthritis. Arthritis Rheumatol. 2019;71(7):1101–1111. doi: 10.1002/art.40866.
    1. Machado P, Landewé R, Lie E, Kvien TK, Braun J, Baker D, et al. Ankylosing Spondylitis Disease Activity Score (ASDAS): defining cut-off values for disease activity states and improvement scores. Ann. Rheum. Dis. 2011;70(1):47. doi: 10.1136/ard.2010.138594.
    1. Rudwaleit M, van der Heijde D, Landewé R, Listing J, Akkoc N, Brandt J, et al. The development of Assessment of SpondyloArthritis international Society classification criteria for axial spondyloarthritis (part II): validation and final selection. Ann. Rheum. Dis. 2009;68(6):777–783. doi: 10.1136/ard.2009.108233.
    1. Rudwaleit M, Jurik AG, Hermann KG, Landewé R, van der Heijde D, Baraliakos X, et al. Defining active sacroiliitis on magnetic resonance imaging (MRI) for classification of axial spondyloarthritis: a consensual approach by the ASAS/OMERACT MRI group. Ann. Rheum. Dis. 2009;68(10):1520–1527. doi: 10.1136/ard.2009.110767.
    1. van der Linden S, Valkenburg HA, Cats A. Evaluation of diagnostic criteria for ankylosing spondylitis. A proposal for modification of the New York criteria. Arthritis Rheum. 1984;27(4):361–368. doi: 10.1002/art.1780270401.
    1. Sieper J, Landewé R, Magrey M, Anderson JK, Zhong S, Wang X, et al. Predictors of remission in patients with non-radiographic axial spondyloarthritis receiving open-label adalimumab in the ABILITY-3 study. RMD open. 2019;5(1):e000917. doi: 10.1136/rmdopen-2019-000917.
    1. Rusman T, van Vollenhoven RF, van der Horst-Bruinsma IE. Gender differences in axial spondyloarthritis: women are not so lucky. Curr Rheumatol Rep. 2018;20(6):35. doi: 10.1007/s11926-018-0744-2.
    1. Neuenschwander R, Hebeisen M, Micheroli R, Bürki K, Exer P, Niedermann K, et al. Differences between men and women with nonradiographic axial spondyloarthritis: clinical characteristics and treatment effectiveness in a real-life prospective cohort. Arthritis Res. Ther. 2020;22(1):233. doi: 10.1186/s13075-020-02337-2.
    1. Maksymowych WP, Dougados M, van der Heijde D, Sieper J, Braun J, Citera G, et al. Clinical and MRI responses to etanercept in early non-radiographic axial spondyloarthritis: 48-week results from the EMBARK study. Ann. Rheum. Dis. 2016;75(7):1328. doi: 10.1136/annrheumdis-2015-207596.
    1. Glintborg B, Sørensen IJ, Østergaard M, Dreyer L, Mohamoud AA, Krogh NS, et al. Ankylosing spondylitis versus nonradiographic axial spondyloarthritis: comparison of tumor necrosis factor inhibitor effectiveness and effect of HLA-B27 status. An observational cohort study from the Nationwide DANBIO Registry. J. Rheumatol. 2017;44(1):59–69. doi: 10.3899/jrheum.160958.
    1. Moltó A, Paternotte S, Claudepierre P, Breban M, Dougados M. Effectiveness of tumor necrosis factor α blockers in early axial spondyloarthritis: data from the DESIR cohort. Arthritis Rheumatol. 2014;66(7):1734–1744. doi: 10.1002/art.38613.

Source: PubMed

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