The Clinical Pain Innovation Lab, The Cheryl Spencer Department of Nursing, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.
Analgesic Solutions, Wayland, MA, United States.
Pain. 2019 Jul;160(7):1522-1528. doi: 10.1097/j.pain.0000000000001538.
Previous studies have shown a robust correlation between variability of clinical pain scores and responsiveness to placebo (but not active drug) in pain studies, but explanations for these relationships are lacking. We investigated this further by assessing relationship between the Focused Analgesia Selection Test (FAST), a psychophysical method that quantifies pain reporting variability in response to experimental stimuli, variability of daily clinical pain scores as captured using diary, and response to treatment in the context of a randomized controlled crossover trial of naproxen vs placebo in knee osteoarthritis. Evoked pain using the Staircase-Evoked Pain Procedure served as the primary efficacy endpoint. Variability of daily pain scores and the FAST were assessed at baseline. Fifty-five subjects completed the study and were included in the analyses. Our results indicated a statistically significant, moderate linear relationship between variability of clinical and experimental pain reports (r = -0.416, P = 0.004). Both correlated with the placebo response (r = 0.393, P = 0.004; r =-0.371, P = 0.009; respectively), but only the FAST predicted the treatment difference between naproxen and placebo, as demonstrated both in a regression model (P = 0.002, Beta = 0.456, t = 3.342) and in a receiver operating characteristic curve (0.721) analysis. Our results extend previous findings to include a correlation between experimental pain variability and the placebo response and suggest that experimental pain variability is a better predictor of patients who respond preferentially to drug over placebo. A theoretical model unifying these observations is proposed, and practical implications are discussed.
先前的研究表明,在疼痛研究中,临床疼痛评分的变异性与安慰剂(而非活性药物)的反应性之间存在很强的相关性,但对这些关系的解释还很缺乏。我们通过评估聚焦镇痛选择测试(FAST)与治疗反应之间的关系,进一步研究了这一点。FAST 是一种心理物理学方法,可量化实验刺激下的疼痛报告变异性,使用日记记录日常临床疼痛评分的变异性,并在萘普生与安慰剂的随机对照交叉试验中评估对治疗的反应,来评估这种关系。使用阶梯式诱发疼痛程序评估诱发疼痛作为主要疗效终点。在基线时评估每日疼痛评分和 FAST 的变异性。55 名受试者完成了研究并纳入了分析。我们的结果表明,临床和实验疼痛报告的变异性之间存在统计学上显著的中度线性关系(r = -0.416,P = 0.004)。两者均与安慰剂反应相关(r = 0.393,P = 0.004;r = -0.371,P = 0.009),但只有 FAST 预测了萘普生与安慰剂之间的治疗差异,这在回归模型(P = 0.002,Beta = 0.456,t = 3.342)和受试者工作特征曲线(ROC)分析(0.721)中均得到了证实。我们的研究结果将先前的发现扩展到包括实验性疼痛变异性与安慰剂反应之间的相关性,并表明实验性疼痛变异性是预测对药物而非安慰剂反应更敏感的患者的更好指标。提出了一个统一这些观察结果的理论模型,并讨论了其实际意义。