Frey-Law Laura A, Bohr Nicole L, Sluka Kathleen A, Herr Keela, Clark Charles R, Noiseux Nicolas O, Callaghan John J, Zimmerman M Bridget, Rakel Barbara A
Department of Physical Therapy and Rehabilitation Science, College of Medicine, University of Iowa, Iowa City, IA, USA.
College of Nursing, University of Iowa, Iowa City, IA, USA.
Pain. 2016 Sep;157(9):1988-1999. doi: 10.1097/j.pain.0000000000000603.
The development of patient profiles to subgroup individuals on a variety of variables has gained attention as a potential means to better inform clinical decision making. Patterns of pain sensitivity response specific to quantitative sensory testing (QST) modality have been demonstrated in healthy subjects. It has not been determined whether these patterns persist in a knee osteoarthritis population. In a sample of 218 participants, 19 QST measures along with pain, psychological factors, self-reported function, and quality of life were assessed before total knee arthroplasty. Component analysis was used to identify commonalities across the 19 QST assessments to produce standardized pain sensitivity factors. Cluster analysis then grouped individuals who exhibited similar patterns of standardized pain sensitivity component scores. The QST resulted in 4 pain sensitivity components: heat, punctate, temporal summation, and pressure. Cluster analysis resulted in 5 pain sensitivity profiles: a "low pressure pain" group, an "average pain" group, and 3 "high pain" sensitivity groups who were sensitive to different modalities (punctate, heat, and temporal summation). Pain and function differed between pain sensitivity profiles, along with sex distribution; however, no differences in osteoarthritis grade, medication use, or psychological traits were found. Residualizing QST data by age and sex resulted in similar components and pain sensitivity profiles. Furthermore, these profiles are surprisingly similar to those reported in healthy populations, which suggests that individual differences in pain sensitivity are a robust finding even in an older population with significant disease.
根据各种变量对个体进行亚组划分的患者概况发展,作为一种更好地为临床决策提供信息的潜在手段,已受到关注。在健康受试者中已证实了特定于定量感觉测试(QST)模式的疼痛敏感性反应模式。尚未确定这些模式在膝骨关节炎人群中是否持续存在。在218名参与者的样本中,在全膝关节置换术前评估了19项QST测量指标以及疼痛、心理因素、自我报告的功能和生活质量。使用成分分析来识别19项QST评估中的共性,以产生标准化的疼痛敏感性因素。然后,聚类分析将表现出相似标准化疼痛敏感性成分评分模式的个体分组。QST产生了4种疼痛敏感性成分:热、点状、时间总和和压力。聚类分析产生了5种疼痛敏感性概况:一个“低压力疼痛”组、一个“平均疼痛”组和3个对不同模式(点状、热和时间总和)敏感的“高疼痛”敏感性组。疼痛敏感性概况之间的疼痛和功能不同,性别分布也不同;然而,在骨关节炎等级、药物使用或心理特征方面未发现差异。按年龄和性别对QST数据进行残差分析得到了相似的成分和疼痛敏感性概况。此外,这些概况与健康人群中报告的概况惊人地相似,这表明即使在患有重大疾病的老年人群中,疼痛敏感性的个体差异也是一个有力的发现。