Quantitative Evaluation of Pain with Pain Index Extracted from Electroencephalogram

Jian‑Xiong An; Yong Wang; Doris K Cope; John P Wil iams

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Quantitative Evaluation of Pain with Pain Index Extracted from Electroencephalogram

机译：从脑电图提取疼痛指数定量评估疼痛

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Background: The current pain assessment methods are strongly subjective and easily affected by outside influences, and there is an urgent need to develop a reliable objective and quantitative pain?monitoring indicator. The aim of this study was to evaluate the feasibility of using Pain index (Pi) to assess pain symptoms in pain patients. Methods: Subjects were enrolled from patients seeking treatment at Pain Medicine Center of China Medical University Aviation General Hospital from October 2015 to December 2016, such as postherpetic neuralgia, spinal cord injury, femoral head necrosis, lumbar disc herniation, trigeminal neuralgia, complex regional pain syndrome, perineal pain, phantom limb pain, etc., (pain group, n = 111), as well as healthy volunteers without subjective pain (control group, n = 100). The subjective pain symptoms in pain patients were evaluated by Pi and visual analogue scale/numerical rating scales (VAS/NRS), respectively, and the relationship between them was analyzed using single factor correlation analysis and multiple factor regression analysis. Results: Pi levels in the pain group were significantly higher than those of the control group (t = 6.273, P < 0.001), the correlation analysis of Pi and VAS/NRS score in the pain group showed that the Pearson correlation coefficient was 0.797 (P < 0.001);After adjusted for types of pain, pain sites, medication, gender, and age, Pi was found to be independently correlated to VAS/NRS score (P < 0.001). Conclusions: Pi significantly correlates with VAS/NRS score, might be used to evaluate the subjective pain symptoms in patients and has good research and application value as an objective pain assessment tool.

机译：背景：目前的疼痛评估方法具有很强的主观性，并且容易受到外界影响，因此迫切需要开发一种可靠的客观和定量的疼痛监测指标。这项研究的目的是评估使用疼痛指数（Pi）评估疼痛患者的疼痛症状的可行性。方法：纳入2015年10月至2016年12月在中国医科大学航空总医院疼痛医学中心接受治疗的患者，包括疱疹后神经痛，脊髓损伤，股骨头坏死，腰椎间盘突出症，三叉神经痛，复杂区域性疼痛综合征，会阴痛，幻肢痛等（疼痛组，n = 111），以及无主观疼痛的健康志愿者（对照组，n = 100）。分别通过Pi和视觉模拟量表/数字评分量表（VAS / NRS）评估疼痛患者的主观疼痛症状，并使用单因素相关分析和多因素回归分析分析它们之间的关系。结果：疼痛组的Pi水平显着高于对照组（t = 6.273，P <0.001），疼痛组Pi与VAS / NRS评分的相关分析表明，皮尔森相关系数为0.797（ P <0.001）;在对疼痛类型，疼痛部位，药物，性别和年龄进行调整后，发现Pi与VAS / NRS评分独立相关（P <0.001）。结论：Pi与VAS / NRS评分显着相关，可用于评估患者的主观疼痛症状，作为客观的疼痛评估工具具有良好的研究和应用价值。

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《中华医学杂志（英文版）》 |2017年第16期|1926-1931|共6页
作者
Jian‑Xiong An; Yong Wang; Doris K Cope; John P Wil iams;
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作者单位

Department of Anesthesiology, Pain Medicine and Critical Care Medicine, Aviation General Hospital of China Medical University & Beijing Institute of Translational Medicine, Chinese Academy of Sciences, Beijing 100012, China;

Department of Anesthesiology, Pain Medicine and Critical Care Medicine, Aviation General Hospital of China Medical University & Beijing Institute of Translational Medicine, Chinese Academy of Sciences, Beijing 100012, China;

Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburg 15213, PA, USA;

Department of Anesthesiology, University of Pittsburgh School of Medicine, Pittsburg 15213, PA, USA;

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收录信息中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
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Quantitative Evaluation of Pain with Pain Index Extracted from Electroencephalogram

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