Department of Medicine, University of Florida, Gainesville, Florida 32610-0221, USA.
J Pain. 2012 Aug;13(8):725-35. doi: 10.1016/j.jpain.2012.04.006. Epub 2012 Jun 26.
Multiple abnormalities in pain processing have been reported in patients with chronic musculoskeletal pain syndromes. These changes include mechanical and thermal hyperalgesia, decreased thresholds to mechanical and thermal stimuli (allodynia), and central sensitization, all of which are fundamental to the generation of clinical pain. Therefore, we hypothesized that quantitative sensory tests may provide useful predictors of clinical pain intensity of such patients. Our previous studies of fibromyalgia (FM) patients have shown statistically significant correlations of quantitative sensory test results with clinical pain intensity, including mechanical spatial summation, number of pain areas, wind-up, and wind-up aftersensations. Although these tests predicted up to 59% of the variance in FM clinical pain intensity, their expense and technical complexities limited widespread use in clinical practice and trials. Thus, we developed practical tests of primary (mechanical) and secondary (heat) hyperalgesia that also strongly predict clinical pain intensity in patients with chronic musculoskeletal pain disorders. Thirty-six individuals with FM, 24 with local musculoskeletal pain, and 23 normal controls underwent testing of mechanical and heat hyperalgesia at the shoulders and hands. All subjects rated experimental pains using an electronic visual analog scale. Using either heat or pressure pain ratings as well as tender point counts and negative affect as predictors, up to 49.4% of the patients' variance of clinical pain intensity could be estimated. Results of this study emphasize the important contributions of peripheral and central factors to both local and widespread chronic pain. Overall, measures of mechanical and heat hyperalgesia in combination with tender point and negative affect provided powerful predictors of clinical pain intensity in chronic musculoskeletal pain patients that can be readily used in clinical practice and trials.
Simple tests of mechanical and heat hyperalgesia can predict large proportions of the variance in clinical pain intensity of chronic musculoskeletal pain patients and thus are feasible to be included in clinical practice and clinical trials.
患有慢性肌肉骨骼疼痛综合征的患者报告了疼痛处理中的多种异常。这些变化包括机械性和热痛觉过敏、机械和热刺激的阈值降低(感觉异常痛)以及中枢敏化,所有这些都是产生临床疼痛的基础。因此,我们假设定量感觉测试可能为这些患者的临床疼痛强度提供有用的预测指标。我们之前对纤维肌痛(FM)患者的研究表明,定量感觉测试结果与临床疼痛强度之间存在统计学上显著的相关性,包括机械性空间总和、疼痛区域数量、冲动和冲动后感觉。虽然这些测试预测了高达 59%的 FM 临床疼痛强度的变异性,但它们的费用和技术复杂性限制了它们在临床实践和试验中的广泛应用。因此,我们开发了一种实用的原发性(机械性)和继发性(热)痛觉过敏测试,也可以强烈预测慢性肌肉骨骼疼痛障碍患者的临床疼痛强度。36 名 FM 患者、24 名局部肌肉骨骼疼痛患者和 23 名正常对照者在肩部和手部接受机械性和热痛觉过敏测试。所有受试者使用电子视觉模拟量表对实验性疼痛进行评分。使用热痛觉或压痛评分以及压痛点计数和负性情绪作为预测指标,患者的临床疼痛强度变异性的 49.4%可以得到估计。这项研究的结果强调了外周和中枢因素对局部和广泛慢性疼痛的重要贡献。总的来说,机械性和热痛觉过敏的测量值与压痛点和负性情绪相结合,可以为慢性肌肉骨骼疼痛患者的临床疼痛强度提供强有力的预测指标,这些指标可以在临床实践和临床试验中很容易地使用。
机械性和热痛觉过敏的简单测试可以预测慢性肌肉骨骼疼痛患者的临床疼痛强度变异性的很大比例,因此可以纳入临床实践和临床试验。