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      Exploring sub-optimal response to tumour necrosis factor inhibitors in axial spondyloarthritis

      brief-report

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          Abstract

          Objectives

          The aim was to define sub-optimal response to TNF inhibitors (TNFi), compare long-term drug survival rates and identify predictors of sub-optimal response in axial spondyloarthritis (axSpA) patients in a UK cohort.

          Methods

          All axSpA patients attending two centres who commenced TNFi between 2002 and 2016 were included. Routinely recorded patient data were reviewed retrospectively. Patients with paired BASDAI at baseline, 3 and/or 6 months were included for analysis. Sub-optimal response was defined as achieving a ≥ 2-point reduction in BASDAI but not BASDAI50, post-treatment BASDAI remaining at ≥4, and in the opinion of the treating physician these patients demonstrated a meaningful clinical response.

          Results

          Four hundred and ninety-nine patients were included: 82 (16.4%) patients were classified as having a sub-optimal response; 64 (78%) males, 78 (95.1%) AS and 55/67 (82.1%) HLA-B27 positive. Results are reported as the mean ( s. d.). Time to diagnosis was 10 (8.6) years, age at diagnosis was 37 (11.7) years, and age at initiating index TNFi was 48 (11.1) years. Individual index TNFi were Humira (adalimumab, n = 41, 50%), Enbrel (etanercept, n = 27, 32.9%), Remicade (infliximab, n = 5, 6.1%), Simponi (golimumab, n = 3, 3.7%) and Cimzia (certolizumab pegol, n = 6, 7.3%). The rate of attrition was greater among sub-optimal responders at 2 and 5 years ( P < 0.05), but not at 10 years ( P = 0.06), compared with responders. Older age at initiation of TNFi was a predictor of sub-optimal response (odds ratio 1.04, 95% CI 1.01, 1.09, P < 0.05).

          Conclusion

          A significant proportion of patients continued TNFi despite demonstrated sub-optimal response. Further research needs to be undertaken in order to understand this group.

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          Most cited references8

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          Treatment of active ankylosing spondylitis with infliximab: a randomised controlled multicentre trial.

          BACKGROUND Treatment options for patients with ankylosing spondylitis are few. We aimed to assess the effectiveness of infliximab, an antibody to tumour necrosis factor (TNF)-alpha, in treatment of such patients. In this 12-week placebo-controlled multicentre study, we randomly assigned 35 patients with active ankylosing spondylitis to intravenous infliximab (5 mg/kg) and 35 to placebo at weeks 0, 2, and 6. One patient in the infliximab group was withdrawn from the study. Our primary outcome was regression of disease activity of at least 50%. To assess response, we used validated clinical criteria from the ankylosing spondylitis assessment working group, including disease activity (BASDAI), functional indices (BASFI), metrology (BASMI), and quality of life (short form 36). Analyses were done by intention to treat. 18 (53%) of 34 patients on infliximab had a regression of disease activity at week 12 of at least 50% compared with three (9%) of 35 on placebo (difference 44% [95% CI 23-61], p<0.0001). Function and quality of life also improved significantly on infliximab but not on placebo (p<0.0001 and p<0.0001, respectively). Treatment with infliximab was generally well tolerated, but three patients had to stop treatment because of systemic tuberculosis, allergic granulomatosis of the lung, or mild leucopenia. Our results show that treatment with infliximab is effective in patients with active ankylosing spondylitis. Since there are some potentially serious adverse effects, we recommend that this treatment mainly be used in co-operation with rheumatological centres.
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            Predicting the outcome of ankylosing spondylitis therapy

            Objectives To create a model that provides a potential basis for candidate selection for anti-tumour necrosis factor (TNF) treatment by predicting future outcomes relative to the current disease profile of individual patients with ankylosing spondylitis (AS). Methods ASSERT and GO–RAISE trial data (n=635) were analysed to identify baseline predictors for various disease-state and disease-activity outcome instruments in AS. Univariate, multivariate, receiver operator characteristic and correlation analyses were performed to select final predictors. Their associations with outcomes were explored. Matrix and algorithm-based prediction models were created using logistic and linear regression, and their accuracies were compared. Numbers needed to treat were calculated to compare the effect size of anti-TNF therapy between the AS matrix subpopulations. Data from registry populations were applied to study how a daily practice AS population is distributed over the prediction model. Results Age, Bath ankylosing spondylitis functional index (BASFI) score, enthesitis, therapy, C-reactive protein (CRP) and HLA-B27 genotype were identified as predictors. Their associations with each outcome instrument varied. However, the combination of these factors enabled adequate prediction of each outcome studied. The matrix model predicted outcomes as well as algorithm-based models and enabled direct comparison of the effect size of anti-TNF treatment outcome in various subpopulations. The trial populations reflected the daily practice AS population. Conclusion Age, BASFI, enthesitis, therapy, CRP and HLA-B27 were associated with outcomes in AS. Their combined use enables adequate prediction of outcome resulting from anti-TNF and conventional therapy in various AS subpopulations. This may help guide clinicians in making treatment decisions in daily practice.
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              Predictors of response to anti-TNF therapy in ankylosing spondylitis: results from the British Society for Rheumatology Biologics Register

              Objective. Few data exist on the use of anti-TNF drugs for AS during routine clinical use in the UK. This report describes an improvement in Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Bath Ankylosing Spondylitis Functional Index (BASFI) after 6 months of therapy in 261 patients enrolled in a national prospective observational register. Methods. The British Society for Rheumatology Biologics Register (BSRBR) recruited patients starting anti-TNF therapy for AS between 2002 and 2006. Multivariable linear regression models were used to estimate the predictors of absolute improvement in BASDAI and BASFI at 6 months. Covariates included age, gender, disease duration, baseline BASDAI and BASFI, presence of raised inflammatory markers (defined as twice the upper limit of normal) and DMARD therapy. Results. The cohort was young (median age 43 years) and 82% were males. Median baseline BASDAI was 7.6 and BASFI 7.9. At 6 months, the mean improvements in BASDAI and BASFI were 3.6 and 2.6 U, respectively; 52% reached a BASDAI50. Patients with raised inflammatory markers at the start of therapy had a 0.9-U (95% CI 0.2, 1.5) better improvement in BASDAI compared with those without. Lesser responses were seen in those with higher baseline BASFI scores. Women had a 1.1-U (95% CI 0.3, 2.0) greater improvement in BASFI at 6 months, as did those who were receiving concurrent DMARD therapy [0.9 U (95% CI 0.2, 1.7)]. Conclusions. The majority of patients receiving anti-TNF therapy for AS during routine care demonstrated an improvement in disease activity. Raised inflammatory markers at the start of therapy predicted a greater improvement in BASDAI, identifying a group of patients who may be more responsive to anti-TNF therapies, although the results were not confined to this group.
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                Author and article information

                Journal
                Rheumatol Adv Pract
                Rheumatol Adv Pract
                rheumap
                Rheumatology Advances in Practice
                Oxford University Press
                2514-1775
                2019
                04 May 2019
                04 May 2019
                : 3
                : 1
                : rkz012
                Affiliations
                [1 ]Department of Rheumatology, Royal National Hospital for Rheumatic Diseases, RUH NHS Foundation Trust, Bath, UK
                [2 ]Department of Medicine, University of Malaya, Kuala Lumpur, Malaysia
                [3 ]Department of Rheumatology, Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich
                [4 ]Department of Pharmacology, University of Bath, Bath, UK
                Author notes
                Correspondence to: Fariz Yahya, Royal National Hospital for Rheumatic Diseases, RUH NHS Foundation Trust, Upper Borough Walls, Bath BA1 1RL, UK. E-mail: drfarizyahya@ 123456gmail.com
                Author information
                http://orcid.org/0000-0001-8139-7764
                http://orcid.org/0000-0002-9720-0396
                Article
                rkz012
                10.1093/rap/rkz012
                6649897
                a3d664cf-138b-4dc7-8032-5bd7ac62ab06
                © The Author(s) 2019. Published by Oxford University Press on behalf of the British Society for Rheumatology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 11 October 2018
                : 15 April 2019
                Page count
                Pages: 5
                Categories
                Concise Report

                axial spondyloarthritis,tnf inhibitors,sub-optimal response,survival rates,predictors

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