Literature DB >> 19060001

ASDAS, a highly discriminatory ASAS-endorsed disease activity score in patients with ankylosing spondylitis.

D van der Heijde1, E Lie, T K Kvien, J Sieper, F Van den Bosch, J Listing, J Braun, R Landewé.   

Abstract

OBJECTIVES: To evaluate various validity aspects of four disease activity scores (ASDAS) for ankylosing spondylitis (AS) in comparison with the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), its individual components and physician and patient global assessment of disease activity.
METHODS: The analyses were performed in two cohorts of patients with AS: (1) the NOR-DMARD database which includes patients starting on a disease-modifying antirheumatic drug or tumour necrosis factor (TNF) blocker and (2) patients participating in double-blind placebo controlled randomised clinical trials with TNF blockers in four centres. Discrimination between patients with low versus high disease activity according to various definitions and between various levels of change were analysed as the standardised mean difference (difference in the group means divided by the pooled SD of the group means) and t score.
RESULTS: The four ASDAS versions were highly discriminatory in differentiating patients with different levels of disease activity and patients with different levels of change. The ASDAS scores outperformed the BASDAI and its single components in all settings: patient- or physician-based, reflecting status or change, with normal or raised C-reactive protein (CRP), in the presence or absence of peripheral arthritis. There were no major differences between the four ASDAS scores. Based on feasibility, the ASAS membership selected the ASDAS version which included back pain, duration of morning stiffness, patient global assessment, peripheral joint complaints and CRP as the preferred version.
CONCLUSIONS: The ASDAS is a validated, highly discriminatory instrument for assessing disease activity in AS, including patient-reported outcomes and CRP levels.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19060001     DOI: 10.1136/ard.2008.100826

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  158 in total

1.  Discriminant validity of the Ankylosing Spondylitis Disease Activity Score (ASDAS) in patients with non-radiographic axial spondyloarthritis and ankylosing spondylitis: a cohort study.

Authors:  Erkan Kilic; Gamze Kilic; Ozgur Akgul; Salih Ozgocmen
Journal:  Rheumatol Int       Date:  2014-11-04       Impact factor: 2.631

2.  [Early axial spondyloarthritis. Diagnostic approach and screening].

Authors:  D Poddubnyy; M Rudwaleit; J Sieper
Journal:  Z Rheumatol       Date:  2012-01       Impact factor: 1.372

3.  Serum CCL11 level is associated with radiographic spinal damage in patients with ankylosing spondylitis.

Authors:  Dong Hyun Sohn; Hoim Jeong; Jong Seong Roh; Han-Na Lee; Eunsung Kim; Jung Hee Koh; Seung-Geun Lee
Journal:  Rheumatol Int       Date:  2018-05-30       Impact factor: 2.631

Review 4.  Biomarkers for diagnosis, monitoring of progression, and treatment responses in ankylosing spondylitis and axial spondyloarthritis.

Authors:  John D Reveille
Journal:  Clin Rheumatol       Date:  2015-05-05       Impact factor: 2.980

5.  Spondyloarthropathies: management of AS-new guidelines in the spotlight.

Authors:  Atul A Deodhar
Journal:  Nat Rev Rheumatol       Date:  2011-07-26       Impact factor: 20.543

6.  Fatigue in patients with spondyloarthritis associates with disease activity, quality of life and inflammatory bowel symptoms.

Authors:  Simon M Stebbings; Gareth J Treharne; Katey Jenks; John Highton
Journal:  Clin Rheumatol       Date:  2013-12-10       Impact factor: 2.980

7.  Assessment of aortic stiffness in patients with ankylosing spondylitis using cardiovascular magnetic resonance.

Authors:  P Stefan Biesbroek; Sjoerd C Heslinga; Peter M van de Ven; Mike J L Peters; Raquel P Amier; Thelma C Konings; Christopher D Maroules; Colby Ayers; Parag H Joshi; Irene E van der Horst-Bruinsma; Vokko P van Halm; Albert C van Rossum; Michael T Nurmohamed; Robin Nijveldt
Journal:  Clin Rheumatol       Date:  2018-05-12       Impact factor: 2.980

8.  Correlation of serum MMP3 and other biomarkers with clinical outcomes in patients with ankylosing spondylitis: a pilot study.

Authors:  Dongyi He; Qi Zhu; Quan Zhou; Qing Qi; Hongmei Sun; Liza M Zachariah; Grace Wang; John D Reveille; Yongtao Guan; Xiaodong Zhou
Journal:  Clin Rheumatol       Date:  2017-04-22       Impact factor: 2.980

Review 9.  Clinical assessment and outcome research in spondyloarthritis.

Authors:  Robert B M Landewé; Astrid van Tubergen
Journal:  Curr Rheumatol Rep       Date:  2009-10       Impact factor: 4.592

Review 10.  Biomarkers in rheumatic diseases: how can they facilitate diagnosis and assessment of disease activity?

Authors:  Chandra Mohan; Shervin Assassi
Journal:  BMJ       Date:  2015-11-26
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.