首页> 外文期刊>The journal of pain: official journal of the American Pain Society >Mechanical and heat hyperalgesia highly predict clinical pain intensity in patients with chronic musculoskeletal pain syndromes
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Mechanical and heat hyperalgesia highly predict clinical pain intensity in patients with chronic musculoskeletal pain syndromes

机译:机械和热痛觉过敏可高度预测慢性肌肉骨骼疼痛综合征患者的临床疼痛强度

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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. Perspective: 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.
机译:在慢性肌肉骨骼疼痛综合征患者中,疼痛处理过程中出现了多种异常。这些变化包括机械和热痛觉过敏,机械和热刺激阈值降低(异常性疼痛)以及中枢敏化,所有这些都是产生临床疼痛的基础。因此,我们假设定量的感觉测试可以为此类患者的临床疼痛强度提供有用的预测指标。我们先前对纤维肌痛(FM)患者的研究表明,定量感觉测试结果与临床疼痛强度具有统计学上的显着相关性,包括机械空间总和,疼痛部位数量,发散和发散后感。尽管这些测试预测了FM临床疼痛强度的差异高达59%,但其费用和技术复杂性限制了其在临床实践和试验中的广泛使用。因此,我们开发了对原发性(机械性)和继发性(热性)痛觉过敏的实用测试,这些测试还可以强烈预测慢性肌肉骨骼疼痛疾病患者的临床疼痛强度。 36名FM个体,24名局部肌肉骨骼疼痛和23名正常对照接受了肩膀和手部机械和热痛觉过敏的测试。所有受试者均使用电子视觉模拟量表对实验性疼痛进行评分。使用热或压力疼痛等级以及压痛点计数和负面影响作为预测因子,可以估计高达49.4%的患者临床疼痛强度差异。这项研究的结果强调了周围和中央因素对局部和广泛的慢性疼痛的重要贡献。总体而言,机械和热痛觉过敏与压痛点和负面影响相结合的措施为慢性肌肉骨骼疼痛患者的临床疼痛强度提供了有力的预测指标,可以很容易地在临床实践和试验中使用。观点:机械痛觉过敏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临床疼痛强度的很大一部分变化,因此可被纳入临床实践和临床试验。

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