The Central Aspects of Pain in the Knee (CAP-Knee) questionnaire; a mixed-methods study of a self-report instrument for assessing central mechanisms in people with knee pain.
The Central Aspects of Pain in the Knee (CAP-Knee) questionnaire; a mixed-methods study of a self-report instrument for assessing central mechanisms in people with knee pain.
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DOI：
10.1016/j.joca.2021.02.562
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发表时间：
2021-06
影响因子：
7
通讯作者：
Walsh DA
中科院分区：
文献类型：
--
作者：
Akin-Akinyosoye K;James RJE;McWilliams DF;Millar B;das Nair R;Ferguson E;Walsh DA
疼痛是膝关节骨性关节炎的主要症状。中枢致敏导致疼痛和关节病理学之间的不一致。我们先前报道了一种来自八个离散特征的中枢疼痛机制特质：神经病样疼痛、疲劳、认知影响、灾难性、焦虑、睡眠障碍、抑郁和疼痛分布。我们在这里验证并表明，一个8项的问卷，在膝盖疼痛的中心方面（CAP-膝盖）与膝关节疼痛的严重程度的感觉和情感的组件。膝盖疼痛的参与者是从英国东米德兰兹郡的调查肌肉骨骼健康和福祉研究中招募的。在认知访谈后，对CAP-膝关节项目进行了改进。使用Rasch和因子分析以及Cronbach α对250名参与者的心理测量特性进行了评估。组内相关系数检验重复性。使用线性回归评估CAP-膝关节和麦吉尔疼痛问卷疼痛严重程度评分之间的相关性。CAP-Knee很好地针对膝关节疼痛样本。认知访谈表明，参与者以不同的方式解释CAP膝关节项目，这符合他们的预期含义。通过对每个项目进行重新评分来优化Rasch模型的拟合，产生从0到16的总和得分。内部一致性是可以接受的（Cronbach的α = 0.74）和重测信度是优秀的（ICC 2，1 = 0.91）。每个CAP-膝关节项目对一个离散的“中心机制特征”因素有独特的贡献。高CAP-膝关节评分与更差的整体膝关节疼痛强度以及感觉和情感麦吉尔疼痛问卷评分相关。CAP-Knee是一个简单有效的自我报告问卷，它测量了一个单一的“中枢机制”特征，并可能有助于识别和靶向中枢作用治疗，旨在减轻膝关节疼痛的负担。
Pain is the prevailing symptom of knee osteoarthritis. Central sensitisation creates discordance between pain and joint pathology. We previously reported a Central Pain Mechanisms trait derived from eight discrete characteristics: Neuropathic-like pain, Fatigue, Cognitive-impact, Catastrophising, Anxiety, Sleep disturbance, Depression, and Pain distribution. We here validate and show that an 8-item questionnaire, Central Aspects of Pain in the Knee (CAP-Knee) is associated both with sensory- and affective- components of knee pain severity. Participants with knee pain were recruited from the Investigating Musculoskeletal Health and Wellbeing study in the East Midlands, UK. CAP-Knee items were refined following cognitive interviews. Psychometric properties were assessed in 250 participants using Rasch-, and factor-analysis, and Cronbach's alpha. Intra-class correlation coefficients tested repeatability. Associations between CAP-Knee and McGill Pain questionnaire pain severity scores were assessed using linear regression. CAP-Knee targeted the knee pain sample well. Cognitive interviews indicated that participants interpreted CAP-Knee items in diverse ways, which aligned to their intended meanings. Fit to the Rasch model was optimised by rescoring each item, producing a summated score from 0 to 16. Internal consistency was acceptable (Cronbach's alpha = 0.74) and test–retest reliability was excellent (ICC2,1 = 0.91). Each CAP-Knee item contributed uniquely to one discrete ‘Central Mechanisms trait’ factor. High CAP-Knee scores associated with worse overall knee pain intensity, and with each of sensory- and affective- McGill Pain Questionnaire scores. CAP-Knee is a simple and valid self-report questionnaire, which measures a single ‘Central Mechanisms’ trait, and may help identify and target centrally-acting treatments aiming to reduce the burden of knee pain.
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