RT Journal Article
SR Electronic
T1 Development of a Disease Severity and Responder Index for Psoriatic Arthritis (PsA) — Report of the OMERACT 10 PsA Special Interest Group
JF The Journal of Rheumatology
JO J Rheumatol
FD The Journal of Rheumatology
SP 1496
OP 1501
DO 10.3899/jrheum.110278
VO 38
IS 7
A1 LAURA C. COATES
A1 AIZAD MUMTAZ
A1 PHILIP S. HELLIWELL
A1 PHILIP J. MEASE
A1 KRISTINA CALLIS-DUFFIN
A1 GERALD G. KRUEGER
A1 NEIL J. McHUGH
A1 VIBEKE STRAND
A1 DAFNA D. GLADMAN
A1 OLIVER FITZGERALD
YR 2011
UL http://www.jrheum.org/content/38/7/1496.abstract
AB Work within the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) to develop and validate composite disease activity measures in PsA has progressed. At the Outcome Measures in Rheumatology Clinical Trials (OMERACT) 8 meeting, a core set of domains to be assessed in randomized controlled trials (RCT) and longitudinal observational studies (LOS) of PsA was agreed upon. At OMERACT 10, work to date regarding proposed composite responder indices was presented. Five proposed composite responder definitions for PsA were reviewed and discussed including new data from the GRACE (GRAppa Composite Exercise) study. There was agreement that the work to date was promising, and that developing composite outcome measures for use in RCT and LOS was important. Further work was required, including data on followup timepoints and less common phenotypes of PsA, to ensure that all subgroups were represented within GRACE. During discussion on the concept of composite measures for PsA, based on predominant/little/no involvement in several domains (such as skin versus joints, enthesitis, dactylitis, spondyloarthritis) it was acknowledged that a simple summative score encompassing all domains of PsA would be difficult to construct psychometrically and may not be appropriate. Ideally, any composite measure should retain the ability to differentiate between activity in individual domains, such as enthesitis or skin psoriasis, so that the influence of each can be assessed independently. Further work is required within the GRACE dataset to develop an optimal composite measure for PsA. Several proposals to date have shown preliminary validity according to the OMERACT filter.