NIHR Musculoskeletal Biomedical Research Unit, Arthritis Research UK Centre for Sport, Exercise, and Osteoarthritis, University of Oxford, Oxford, UK; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
NIHR Musculoskeletal Biomedical Research Unit, Arthritis Research UK Centre for Sport, Exercise, and Osteoarthritis, University of Oxford, Oxford, UK; Faculty of Health Sciences, University of Southampton, Southampton, UK.
Osteoarthritis Cartilage. 2018 Jul;26(7):872-879. doi: 10.1016/j.joca.2018.01.024. Epub 2018 Feb 7.
Population-based osteoarthritis (OA) cohorts provide vital data on risk factors and outcomes of OA, however the methods to define OA vary between cohorts. We aimed to provide recommendations for combining knee and hip OA data in extant and future population cohort studies, in order to facilitate informative individual participant level analyses.
International OA experts met to make recommendations on: 1) defining OA by X-ray and/or pain; 2) compare The National Health and Nutrition Examination Survey (NHANES)-type OA pain questions; 3) the comparability of the Western Ontario & McMaster Universities Osteoarthritis Index (WOMAC) scale to NHANES-type OA pain questions; 4) the best radiographic scoring method; 5) the usefulness of other OA outcome measures. Key issues were explored using new analyses in two population-based OA cohorts (Multicenter Osteoarthritis Study; MOST and Osteoarthritis Initiative OAI).
OA should be defined by both symptoms and radiographs, with symptoms alone as a secondary definition. Kellgren and Lawrence (K/L) grade ≥2 should be used to define radiographic OA (ROA). The variable wording of pain questions can result in varying prevalence between 41.0% and 75.4%, however questions where the time anchor is similar have high sensitivity and specificity (91.2% and 89.9% respectively). A threshold of 3 on a 0-20 scale (95% CI 2.1, 3.9) in the WOMAC pain subscale demonstrated equivalence with the preferred NHANES-type question.
This research provides recommendations, based on expert agreement, for harmonising and combining OA data in existing and future population-based cohorts.
基于人群的骨关节炎(OA)队列提供了有关 OA 危险因素和结局的重要数据,然而,各队列之间 OA 的定义方法存在差异。我们旨在为现有的和未来的人群队列研究中合并膝关节和髋关节 OA 数据提供建议,以便促进有意义的个体参与者水平分析。
国际 OA 专家开会提出以下建议:1)通过 X 射线和/或疼痛定义 OA;2)比较国家健康和营养调查(NHANES)型 OA 疼痛问题;3)西部安大略省和麦克马斯特大学骨关节炎指数(WOMAC)量表与 NHANES 型 OA 疼痛问题的可比性;4)最佳放射学评分方法;5)其他 OA 结局测量的有用性。在两个基于人群的 OA 队列(多中心骨关节炎研究;MOST 和骨关节炎倡议 OAI)中,使用新的分析方法探讨了关键问题。
OA 应通过症状和 X 射线同时定义,仅症状作为次要定义。Kellgren 和 Lawrence(K/L)分级≥2 应用于定义放射学 OA(ROA)。疼痛问题的变量措辞可能导致患病率在 41.0%至 75.4%之间变化,但时间锚点相似的问题具有较高的敏感性和特异性(分别为 91.2%和 89.9%)。WOMAC 疼痛子量表中 0-20 量表上的 3 分(95%CI 2.1,3.9)阈值与首选的 NHANES 型问题等效。
本研究基于专家共识,为现有和未来基于人群的队列中合并 OA 数据提供了建议。