Prevalence of Ankylosing Spondylitis Disease Activity Score (ASDAS) inactive disease in a cohort of patients treated with TNF-alpha inhibitors

2017 ◽  
Vol 28 (3) ◽  
pp. 542-549 ◽  
Author(s):  
Sara Monti ◽  
Monica Todoerti ◽  
Veronica Codullo ◽  
Ennio Giulio Favalli ◽  
Martina Biggioggero ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Disease Activity Score ◽  
Activity Score ◽  
Inactive Disease ◽  
Tnf Alpha

scholarly journals POS0241 VALIDATION OF THE ANKYLOSING SPONDYLITIS DISEASE ACTIVITY SCORE WITH A QUICK QUANTITATIVE C-REACTIVE PROTEIN ASSAY (ASDAS-QCRP) IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS (AXSPA): A PROSPECTIVE, NATIONAL, MULTICENTER STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 342.1-342
Author(s):  
F. Proft ◽  
J. Schally ◽  
H. C. Brandt ◽  
J. Brandt-Juergens ◽  
G. R. Burmester ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Disease Activity Score ◽  
High Disease Activity ◽  
Activity Score ◽  
Inactive Disease ◽  
Treat To Target ◽  
C Reactive Protein ◽  
Low Disease Activity ◽  
Reactive Protein

Background:According to international recommendations, the Ankylosing Spondylitis Disease Activity Score (ASDAS) is the preferred score for assessing disease activity in axial spondyloarthritis (axSpA) [1]. However, routine determination of C-reactive protein (CRP) to calculate ASDAS values takes hours to days. This limits the use of ASDAS in clinical routine and clinical trials and hinders the implementation of treat-to-target approaches in axSpA. Whereas quick quantitative CRP (qCRP) tests allow CRP assessment within a few minutes. In a pilot project the performance of qCRP-based ASDAS assessment (ASDAS-qCRP) was already investigated in a single center study of 50 newly diagnosed, bDMARD-naïve axSpA patients with promising results [2].Objectives:To validate the ASDAS-qCRP in a prospective, multicenter study of axSpA patients in a typical axSpA cohort with an appropriate sample size.Methods:The study was conducted in five centers in Germany. Consecutive adult (≥ 18 years) axSpA patients were included. In addition to a rheumatological assessment, including patient reported outcomes (PROs), routine CRP and erythrocyte sedimentation rate (ESR) were measured in the local labs. Additionally, a qCRP testing with the „QuikRead go instrument“ (Aidian Oy, Finland) was performed at the study center (measurement range 0.5 - 200 mg/l for hematocrit concentrations of 40 – 45%). Statistical analysis included descriptive statistics, cross tabulation and weighted Cohen´s kappa comparing disease activity categories, Bland-Altman plots and intraclass correlation coefficient (ICC) for ASDAS-CRP and ASDAS-qCRP.Results:In this study 251 axSpA patients were included between January and September 2020 (mean age: 38.4 years; mean disease duration: 6.2 years, 159 patients (63.3%) were male, 211 (84.1%) HLA-B27 positive and 195 (77.7%) were classified as radiographic axSpA). 143 patients (57.0%) were treated with bDMARDs. CRP and qCRP showed mean values of 2.12 and 2.17 mg/l, respectively. With the ASDAS-qCRP, 242 patients (96.4%) were assigned to the same disease activity category as compared to the ASDAS based on the conventional lab CRP measurement (Table 1). Weighted Cohen´s kappa was 0.966 (95%CI: 0.943; 0.988). ICC for ASDAS-CRP- and ASDAS-qCRP-values was 0.997 (95%CI: 0.994; 0.999). The agreement of ASDAS-qCRP and ASDAS-CRP is shown in a Bland-Altman plot (Figure 1).Table 1.Disease activity categories by ASDAS-qCRP vs. ASDAS-CRPASDAS-qCRP (n = 251)Inactive Disease(< 1.3)Low Disease Activity (1.3 - < 2.1)High Disease Activity (2.1 - 3.5)Very high Disease Activity (> 3.5)ASDAS-CRPInactive Disease(< 1.3)56 (22.3%)2 (0.8%)Low Disease Activity (1.3 - < 2.1)62 (24.7%)7 (2.8%)High Disease Activity (2.1 - 3.5)97 (38.6%)Very high Disease Activity (> 3.5)27 (10.8%)The fields highlighted in red indicate that disease activity categories do not match.ASDAS = Ankylosing Spondylitis Disease Activity Score, CRP = C-reactive protein, qCRP = quick quantitative CRPConclusion:The ASDAS-qCRP and ASDAS-CRP showed an almost perfect agreement on the assignment to disease activity categories (96%) with the important advantage of time. With ASDAS-qCRP, rheumatologists could base their clinical decision-making on a disease activity measurement by using a composite score immediately. ASDAS-qCRP, therefore, can be integrated in clinical routine and clinical trials in the future and may facilitate implementation of the treat-to-target concept in axial SpA.References:[1]Smolen JS, et al. Ann Rheum Dis. 2018 Jan; 77(1):3-17.[2]Proft F, et al. Joint Bone Spine. 2019 Jul 29.Figure 1.Bland-Altman plot for ASDAS-qCRP and ASDAS-CRPAcknowledgements:The authors would like to deeply thank Braun T, Doerwald C, Deter N, Höppner C, Lackinger J, Lorenz C, Lunkwitz K, Mandt B, Sron S and Zernicke J for their practical support and coordinating the study.Funding statement: The AQUA study was supported by an unrestricted research grant from Novartis. Testing kits were provided free of charge from Aidian Oy, Finland.Disclosure of Interests:None declared

scholarly journals OP0008 DEVELOPMENT AND VALIDATION OF AN ALTERNATIVE ANKYLOSING SPONDYLITIS DISEASE ACTIVITY SCORE WHEN PATIENT GLOBAL ASSESSMENT IS UNAVAILABLE

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 6-6
Author(s):  
A. Ortolan ◽  
S. Ramiro ◽  
F. A. Van Gaalen ◽  
T. K. Kvien ◽  
R. B. M. Landewé ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Psychometric Properties ◽  
Global Assessment ◽  
Disease Activity Score ◽  
Validation Cohort ◽  
Patient Global Assessment ◽  
Activity Score ◽  
Research Support ◽  
Low Disease Activity

Background:Ankylosing Spondylitis Disease Activity Score (ASDAS) is a composite index measuring disease activity in axial spondyloarthritis (axSpA). It includes questions from the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Patient Global Assessment (PGA), and inflammation biomarkers. However, ASDAS calculation is not always possible because PGA is sometimes not collected.Objectives:To develop an alternative ASDAS to be used in research settings when PGA is unavailable.Methods:Longitudinal data from 4 axSpA cohorts and 2 RCTs were combined. Observations were randomly split in a development (N=1026) and a validation cohort (N=1059). Substitutes of PGA by BASDAI total score, single or combined individual BASDAI questions, and a constant value, were considered. In the development cohort, conversion factors for each substitute were defined by Generalized Estimating Equations. Validation was performed in the validation cohort according to the OMERACT filter, taking into consideration: 1) Truth (agreement with original-ASDAS in the continuous score, by intraclass correlation coefficient -ICC- and in disease activity states, by weighted kappa) 2) Discrimination (standardized mean difference –SMD- of ASDAS scores between high/low disease activity states defined by external anchors e.g Patient Acceptable Symptom State –PASS-; agreement -kappa- in the % of patients reaching ASDAS improvement criteria according to alternative vs. original formulae) 3) Feasibility.Results:Taking all psychometric properties into account and comparing the different formulae (Table), alternative-ASDAS using BASDAI total as PGA replacement proved to be: 1) truthful (agreement with original-ASDAS: ICC=0.98, kappa=0.90); 2) discriminative: it could discriminate between high/low disease activity states (e.g. scores between PASS no/yes: SMD=1.37 versus original-ASDAS SMD=1.43) and was sensitive to change (agreement with original-ASDAS in major improvement/clinically important improvement criteria: kappa=0.93/0.88; 3) feasible (BASDAI total often available; conversion coefficient≈1).Table.Psychometric properties of alternative ASDAS formulaeConclusion:Alternative-ASDAS using BASDAI total score as PGA replacement is the most truthful, discriminative and feasible instrument. This index enables ASDAS calculation in existing cohorts without PGA.Disclosure of Interests:Augusta Ortolan: None declared, Sofia Ramiro: None declared, Floris A. van Gaalen: None declared, Tore K. Kvien Grant/research support from: Received grants from Abbvie, Hospira/Pfizer, MSD and Roche (not relevant for this abstract)., Consultant of: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Paid instructor for: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Speakers bureau: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Robert B.M. Landewé Consultant of: AbbVie; AstraZeneca; Bristol-Myers Squibb; Eli Lilly & Co.; Galapagos NV; Novartis; Pfizer; UCB Pharma, Pedro M Machado Consultant of: PMM: Abbvie, Celgene, Janssen, Lilly, MSD, Novartis, Pfizer, Roche and UCB, Speakers bureau: PMM: Abbvie, BMS, Lilly, MSD, Novartis, Pfizer, Roche and UCB, Adeline Ruyssen-Witrand Grant/research support from: Abbvie, Pfizer, Consultant of: Abbvie, BMS, Lilly, Mylan, Novartis, Pfizer, Sandoz, Sanofi-Genzyme, Astrid van Tubergen Consultant of: Novartis, Caroline Bastiaenen: None declared, Désirée van der Heijde Consultant of: AbbVie, Amgen, Astellas, AstraZeneca, BMS, Boehringer Ingelheim, Celgene, Cyxone, Daiichi, Eisai, Eli-Lilly, Galapagos, Gilead Sciences, Inc., Glaxo-Smith-Kline, Janssen, Merck, Novartis, Pfizer, Regeneron, Roche, Sanofi, Takeda, UCB Pharma; Director of Imaging Rheumatology BV

scholarly journals Hemoglobin A1c, Not Glycated Albumin, Can Independently Reflect the Ankylosing Spondylitis Disease Activity Score

2018 ◽  
Vol 25 (2) ◽  
pp. 131
Author(s):  
Sejin Byun ◽  
Seung Min Jung ◽  
Jason Jungsik Song ◽  
Yong-Beom Park ◽  
Sang-Won Lee
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Hemoglobin A1c ◽  
Disease Activity Score ◽  
Glycated Albumin ◽  
Activity Score

scholarly journals Ankylosing spondylitis disease activity score is related to NSAID use, especially in patients treated with TNF-α inhibitors

PLoS ONE ◽  
2018 ◽  
Vol 13 (4) ◽  
pp. e0196281 ◽  
Author(s):  
Marlies J. G. Carbo ◽  
Anneke Spoorenberg ◽  
Fiona Maas ◽  
Elisabeth Brouwer ◽  
Reinhard Bos ◽  
...  
Keyword(s):  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Disease Activity Score ◽  
Activity Score ◽  
Tnf Α

Endorsement of Definitions of Disease Activity States and Improvement Scores for the Ankylosing Spondylitis Disease Activity Score: Results from OMERACT 10

2011 ◽  
Vol 38 (7) ◽  
pp. 1502-1506 ◽  
Author(s):  
PEDRO M.M.C. MACHADO ◽  
ROBERT B.M. LANDEWÉ ◽  
DÉSIRÉE M. van der HEIJDE
Keyword(s):  
Clinical Practice ◽  
Ankylosing Spondylitis ◽  
Disease Activity ◽  
Observational Studies ◽  
Disease Activity Score ◽  
Composite Index ◽  
Scientific Basis ◽  
Activity Score ◽  
Validation Process ◽  
Selection Of

The Ankylosing Spondylitis Disease Activity Score (ASDAS) is a new composite index to assess disease activity in ankylosing spondylitis (AS). Criteria for disease activity states and improvement scores are important for use in clinical practice, observational studies, and clinical trials, and have been proposed by the Assessment of SpondyloArthritis international Society (ASAS). At OMERACT 10, our aim was to obtain endorsement from OMERACT for the ASDAS disease activity states and response criteria proposed by the ASAS membership. This article summarizes the associated discussions, the scientific basis of the validation process, and the results from the voting sessions, and identifies areas for research using the ASDAS. OMERACT participants agreed with the selection of cutoff values, which now have the combined endorsement of ASAS and OMERACT and are ready to be used in clinical practice and in research settings.

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