Literature DB >> 16142873

Baseline factors that influence ASAS 20 response in patients with ankylosing spondylitis treated with etanercept.

John C Davis1, Désirée M F M Van der Heijde, Maxime Dougados, Jurgen Braun, John J Cush, Daniel O Clegg, Robert D Inman, Todd de Vries, Wayne H Tsuji.   

Abstract

OBJECTIVE: To examine the baseline demographic and disease characteristics that might influence improvement as measured by the Assessment in Ankylosing Spondylitis Response Criteria (ASAS 20) in patients with ankylosing spondylitis (AS).
METHODS: A multicenter Phase 3 study was performed to compare the safety and efficacy of 24 weeks of etanercept 25 mg subcutaneous injection twice weekly (n = 138) and placebo (n = 139) in patients with AS. The ASAS 20 was measured at multiple time points. Using a significance level of 0.05, a repeated measures logistic regression model was used to determine which baseline factors influenced response in the etanercept-treated patients during the 24-week double blind portion of the trial. The following baseline factors were used in the model: demographic and disease severity variables, concomitant medications, extra-articular manifestations, and HLA-B27 status. The predictive capability of the model was then tested on the patients receiving placebo after they had received open-label etanercept treatment.
RESULTS: Baseline factors that were significant predictors of an ASAS 20 response in etanercept-treated patients were C-reactive protein (CRP), back pain score, and Bath Ankylosing Spondylitis Functional Index (BASFI) score. Although clinical response to etanercept was seen at all levels of baseline disease activity, responses were consistently more likely with higher CRP levels or back pain scores and less likely with increased BASFI scores at baseline.
CONCLUSIONS: Higher CRP values and back pain scores and lower BASFI scores at baseline were significant predictors of a higher ASAS 20 response in patients with AS receiving etanercept but predictive value was of insufficient magnitude to determine treatment in individual patients.

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Year:  2005        PMID: 16142873

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  21 in total

1.  Circulating levels of interleukin-6, vascular endothelial growth factor, YKL-40, matrix metalloproteinase-3, and total aggrecan in spondyloarthritis patients during 3 years of treatment with TNFα inhibitors.

Authors:  Susanne Juhl Pedersen; Merete Lund Hetland; Inge Juul Sørensen; Mikkel Ostergaard; Hans Jørgen Nielsen; Julia Sidenius Johansen
Journal:  Clin Rheumatol       Date:  2010-07-18       Impact factor: 2.980

2.  Disease activity assessment in ankylosing spondylitis in a Chinese cohort: BASDAI or ASDAS?

Authors:  Yuen Ling Elaine Au; Woon Sing Raymond Wong; Mo Yin Mok; Ho Yin Chung; Eric Chan; Chak Sing Lau
Journal:  Clin Rheumatol       Date:  2014-07-01       Impact factor: 2.980

3.  The association of NLRP3 and TNFRSF1A polymorphisms with risk of ankylosing spondylitis and treatment efficacy of etanercept.

Authors:  Shengchun Zhao; Hongwei Chen; Guolin Wu; Chen Zhao
Journal:  J Clin Lab Anal       Date:  2017-01-23       Impact factor: 2.352

4.  Candidate's single-nucleotide polymorphism predictors of treatment nonresponse to the first anti-TNF inhibitor in ankylosing spondylitis.

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Journal:  Rheumatol Int       Date:  2013-12-15       Impact factor: 2.631

Review 5.  Looking into the new ASAS classification criteria for axial spondyloarthritis through the other side of the glass.

Authors:  Nurullah Akkoc; Muhammad A Khan
Journal:  Curr Rheumatol Rep       Date:  2015-06       Impact factor: 4.592

Review 6.  The ASAS Criteria for Axial Spondyloarthritis: Strengths, Weaknesses, and Proposals for a Way Forward.

Authors:  Sjef van der Linden; Nurullah Akkoc; Matthew A Brown; Philip C Robinson; Muhammad A Khan
Journal:  Curr Rheumatol Rep       Date:  2015-09       Impact factor: 4.592

Review 7.  ASAS classification criteria for axial spondyloarthritis: time to modify.

Authors:  Nurullah Akkoc; Muhammad A Khan
Journal:  Clin Rheumatol       Date:  2016-04-19       Impact factor: 2.980

Review 8.  [Biologics in the early treatment of ankylosing spondylitis and related forms of spondyloarthritis].

Authors:  Hans-Eckhard Langer
Journal:  Wien Med Wochenschr       Date:  2008

Review 9.  Update on juvenile spondyloarthritis.

Authors:  Anusha Ramanathan; Hemalatha Srinivasalu; Robert A Colbert
Journal:  Rheum Dis Clin North Am       Date:  2013-08-24       Impact factor: 2.670

10.  Predictors of response to anti-TNF therapy in ankylosing spondylitis: results from the British Society for Rheumatology Biologics Register.

Authors:  Paul A C Lord; Tracey M Farragher; Mark Lunt; Kath D Watson; Deborah P M Symmons; Kimme L Hyrich
Journal:  Rheumatology (Oxford)       Date:  2009-12-23       Impact factor: 7.580

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