Objective: Physical function is one of the Outcome Measures in Rheumatology (OMERACT) core outcome domains for hand osteoarthritis studies. Our aim was to select appropriate instrument(s) to... Show moreObjective: Physical function is one of the Outcome Measures in Rheumatology (OMERACT) core outcome domains for hand osteoarthritis studies. Our aim was to select appropriate instrument(s) to measure this domain, as part of the development of a core outcome measurement set.Methods: Following the OMERACT Filter 2.1 instrument selection process, the (function subscale of) the Australian/Canadian Hand Osteoarthritis Index (AUSCAN), Functional Index for Hand Osteoarthritis (FIHOA) and Michigan Hand Outcomes Questionnaire (MHQ) were assessed for domain match, feasibility, truth and discrimination. Data gathered from available literature, working group and patient surveys, and additional analyses in two hand osteoarthritis cohorts were used to inform a consensus process.Results were summarized in Summary of Measurements Properties tables and reviewed by the OMERACT technical advisory group. Results: MHQ passed the assessment of domain match and feasibility by the working group and patient research partners. For AUSCAN important limitations in feasibility were noted, but domain match was good. FIHOA did not pass the assessment and was not taken through the follow-up assessment. Based on published literature, reliability and construct/longitudinal validity of both MHQ and AUSCAN fulfilled OMERACT standards. While clinical trial discrimination and thresholds of meaning were good for AUSCAN, results for MHQ were ambiguous.Conclusion: MHQ was provisionally endorsed as OMERACT core outcome measure for the core domain physical function. While AUSCAN may have better metric properties than MHQ, it received provisional endorsement as a second measure of function due to important feasibility issues. A research agenda to merit full endorsement was set. (c) 2021 The Author(s). Published by Elsevier Inc. Show less
Objectives Further knowledge about typical hand osteoarthritis (OA) characteristics is needed for the development of new classification criteria for hand OA.Methods In a cross-sectional multi... Show moreObjectives Further knowledge about typical hand osteoarthritis (OA) characteristics is needed for the development of new classification criteria for hand OA.Methods In a cross-sectional multi-centre international study, a convenience sample of patients from primary and secondary/tertiary care with a physician-based hand OA diagnosis (n = 128) were compared with controls with hand complaints due to inflammatory or non-inflammatory conditions (n = 70). We examined whether self-reported, clinical, radiographic and laboratory findings were associated with hand OA using logistic regression analyses. Discrimination between groups was assessed by calculating the area under receiver operating curves (AUC).Results Strong associations with hand OA were observed for radiographic osteophytes (OR = 1.62, 95% CI 1.40 to 1.88) and joint space narrowing (JSN) (OR = 1.57, 95% CI 1.36 to 1.82) in the distal interphalangeal (DIP) joints with excellent discrimination (AUC = 0.82 for both). For osteophytes and JSN, we found acceptable discrimination between groups in the proximal interphalangeal joints (AUC = 0.77 and 0.78, respectively), but poorer discrimination in the first carpometacarpal joints (AUC = 0.67 and 0.63, respectively). Painful DIP joints were associated with hand OA, but were less able to discriminate between groups (AUC = 0.67). Age and family history of OA were positively associated with hand OA, whereas negative associations were found for pain, stiffness and soft tissue swelling in metacarpophalangeal joints, pain and marginal erosions in wrists, longer morning stiffness, inflammatory biomarkers and autoantibodies.Conclusions Differences in symptoms, clinical findings, radiographic changes and laboratory tests were found in patients with hand OA versus controls. Radiographic OA features, especially in DIP joints, were best suited to discriminate between groups. Show less
