RT Journal Article SR Electronic T1 The OMERACT Core Domain Set for Outcome Measures for Clinical Trials in Polymyalgia Rheumatica JF The Journal of Rheumatology JO J Rheumatol FD The Journal of Rheumatology SP 1515 OP 1521 DO 10.3899/jrheum.161109 VO 44 IS 10 A1 Sarah L. Mackie A1 Helen Twohig A1 Lorna M. Neill A1 Eileen Harrison A1 Beverley Shea A1 Rachel J. Black A1 Tanaz A. Kermani A1 Peter A. Merkel A1 Christian D. Mallen A1 Frank Buttgereit A1 Chetan Mukhtyar A1 Lee S. Simon A1 Catherine L. Hill A1 on behalf of the OMERACT PMR Working Group YR 2017 UL http://www.jrheum.org/content/44/10/1515.abstract AB Objective. To inform development of a core domain set for outcome measures for clinical trials in polymyalgia rheumatica (PMR), we conducted patient consultations, a systematic review, a Delphi study, and 2 qualitative studies.Methods. Domains identified by 70% or more of physicians and/or patients in the Delphi study were selected. The conceptual framework derived from the 2 qualitative research studies helped inform the meaning of each domain and its relationship to the others. The draft core domain set was refined by further discussion with patients and physicians who had participated in the Delphi study. At the Outcome Measures in Rheumatology (OMERACT) 2016, the domains were discussed and prioritized by 8 breakout groups. Formal voting took place at the end of the workshop and in the final plenary.Results. Ninety-three percent of voters in the final plenary agreed that the inner core of domains considered mandatory for clinical trials of PMR should consist the following: laboratory markers of systemic inflammation, pain, stiffness, and physical function. Patient’s global and fatigue were considered important but not mandatory (outer core). The research agenda included psychological impact, weakness, physical activity, participation, sleep, imaging, and health-related quality of life.Conclusion. This core domain set was considered sufficiently well-defined that the next step will be to apply the OMERACT Filter 2.0 Instrument Selection Algorithm to select candidate instruments for a subsequent “deeper dive” into the data. This will allow instruments to be mapped onto each of our core domains to derive a core outcome set for PMR.