Alan Edwards Centre for Research on Pain, McGill University, Montreal, Que., Canada Department of Neurology and Neurosurgery, McGill University, Montreal, Que., Canada Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA Science College and Department of Biology, Concordia University, Montreal, Que., Canada Faculty of Dentistry, McGill University, Montreal, Que., Canada Department of Anesthesiology, McGill University, Montreal, Que., Canada.
Pain. 2011 Mar;152(3):592-598. doi: 10.1016/j.pain.2010.11.032. Epub 2011 Jan 6.
In human pain experiments, as well as in clinical settings, subjects are often asked to assess pain using scales (eg, numeric rating scales). Although most subjects have little difficulty in using these tools, some lack the necessary basic cognitive or motor skills (eg, paralyzed patients). Thus, the identification of appropriate nonverbal measures of pain has significant clinical relevance. In this study, we assessed heart rate (HR), skin conductance (SC), and verbal ratings in 39 healthy male subjects during the application of twelve 6-s heat stimuli of different intensities on the subjects' left forearm. Both HR and SC increased with more intense painful stimulation. However, HR but not SC, significantly correlated with pain ratings at the group level, suggesting that HR may be a better predictor of between-subject differences in pain than is SC. Conversely, changes in SC better predicted variations in ratings within a given individual, suggesting that it is more sensitive to relative changes in perception. The differences in findings derived from between- and within-subject analyses may result from greater within-subject variability in HR. We conclude that at least for male subjects, HR provides a better predictor of pain perception than SC, but that data should be averaged over several stimulus presentations to achieve consistent results. Nevertheless, variability among studies, and the indication that gender of both the subject and experimenter could influence autonomic results, lead us to advise caution in using autonomic or any other surrogate measures to infer pain in individuals who cannot adequately report their perception. Skin conductance is more sensitive to detect within-subject perceptual changes, but heart rate appears to better predict pain ratings at the group level.
在人类疼痛实验和临床环境中,通常要求受试者使用量表(例如数字评分量表)来评估疼痛。尽管大多数受试者在使用这些工具时没有太大困难,但有些受试者缺乏必要的基本认知或运动技能(例如瘫痪患者)。因此,确定适当的非言语疼痛测量方法具有重要的临床意义。在这项研究中,我们评估了 39 名健康男性受试者在其左前臂上接受 12 次 6 秒热刺激时的心率(HR)、皮肤电导(SC)和言语评分。随着疼痛刺激强度的增加,HR 和 SC 均增加。然而,HR 而非 SC 与组水平的疼痛评分显著相关,表明 HR 可能比 SC 更能预测个体间疼痛差异。相反,SC 的变化更好地预测了个体内评分的变化,这表明它对感知的相对变化更敏感。源自个体间和个体内分析的发现之间的差异可能是由于 HR 个体内变异性更大所致。我们得出的结论是,至少对于男性受试者而言,HR 比 SC 更能预测疼痛感知,但为了获得一致的结果,数据应平均分布在多个刺激呈现中。然而,研究之间的变异性以及受试者和实验者的性别都可能影响自主结果的迹象,导致我们建议在无法充分报告自己的感知的个体中使用自主或任何其他替代措施来推断疼痛时要谨慎。皮肤电导对检测个体内感知变化更敏感,但心率似乎更能预测组水平的疼痛评分。