The Influence of the Definition of Patient Global Assessment in Assessment of Disease Activity According to the Disease Activity Score (DAS28) in Rheumatoid Arthritis

2011 ◽  
Vol 38 (11) ◽  
pp. 2326-2328 ◽  
Author(s):  
MAXIME DOUGADOS ◽  
MAHAUT RIPERT ◽  
PASCAL HILLIQUIN ◽  
PATRICE FARDELLONE ◽  
OLIVIER BROCQ ◽  
...  

Objective.Patient global assessment (PGA) is one of the 4 items included in the Disease Activity Score (DAS28) for evaluation of activity of rheumatoid arthritis (RA). We studied the influence of the use of 3 different techniques of PGA on the assessment of disease activity.Methods.We evaluated 3 different DAS28 according to the technique of PGA in 108 patients with active RA before and after 12 weeks of etanercept therapy.Results.The reliability (intraclass coefficient of correlation) between screening and baseline was very high and similar for the 3 DAS28. The percentage of patients in the different states of disease (from remission to higher disease activity) and the sensitivity to change across the 3 DAS28 scales were very similar.Conclusion.The different techniques of collection of PGA to be included in the DAS calculation yield similar results. However, an accepted, unequivocal technique should be encouraged in order to reduce heterogeneity in scoring DAS among patients with RA.

2018 ◽  
Vol 37 (7) ◽  
pp. 1963-1969 ◽  
Author(s):  
Ricardo J. O. Ferreira ◽  
Gisela Eugénio ◽  
Mwidimi Ndosi ◽  
Cristiana Silva ◽  
Catarina Medeiros ◽  
...  

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 ◽  
...  

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


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