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糖尿病性多发性神经病患者疼痛感知定量评估的可行性

The Availability of Quantitative Assessment of Pain Perception in Patients With Diabetic Polyneuropathy.

作者信息

Park Tae Jun, Kim Sung Hoon, Lee Hi Chan, Chung Sae Hoon, Kim Ji Hyun, Park Jin

机构信息

Department of Rehabilitation Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.

出版信息

Ann Rehabil Med. 2018 Jun;42(3):433-440. doi: 10.5535/arm.2018.42.3.433. Epub 2018 Jun 27.

Abstract

OBJECTIVE

To evaluate the usefulness of the quantitative assessment of pain perception (QAPP) in diabetic polyneuropathy (DPN) patients.

METHODS

Thirty-two subjects with DPN were enrolled in this study. The subjects' pain perception was assessed quantitatively. Current perception threshold (CPT) and pain equivalent current (PEC) were recorded. All patients were tested with a nerve conduction study (NCS) for evaluation of DPN and pain-related evoked potential (PREP) for evaluation of small fiber neuropathy (SFN) on bilateral upper and lower limbs. All patients were asked to participate in tests such as visual analogue scale (VAS) and SF-36 Health Survey Version 2 to evaluate their subjective pain and quality of life, respectively.

RESULTS

The PEC of QAPP showed significant correlations with VAS (p=0.002) and physical function surveyed with SF-36 Health Survey Version 2 (p=0.035). The results of QAPP had no correlation with NCS, but there was a significant relationship between the CPT of QAPP and PREP (p=0.003).

CONCLUSION

The QAPP may be useful not only in providing objective evaluations of subjective pain in patients with DPN but also in the assessment of diabetic SFN.

摘要

目的

评估疼痛感知定量评估(QAPP)在糖尿病性多发性神经病(DPN)患者中的实用性。

方法

本研究纳入了32例DPN患者。对受试者的疼痛感知进行定量评估。记录电流感觉阈值(CPT)和疼痛等效电流(PEC)。所有患者均接受双侧上下肢的神经传导研究(NCS)以评估DPN,以及疼痛相关诱发电位(PREP)以评估小纤维神经病(SFN)。所有患者均被要求参与视觉模拟量表(VAS)和SF-36健康调查第2版等测试,分别以评估其主观疼痛和生活质量。

结果

QAPP的PEC与VAS(p = 0.002)以及SF-36健康调查第2版所调查的身体功能(p = 0.035)显示出显著相关性。QAPP的结果与NCS无相关性,但QAPP的CPT与PREP之间存在显著关系(p = 0.003)。

结论

QAPP不仅可能有助于对DPN患者的主观疼痛进行客观评估,还可用于评估糖尿病性SFN。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f3bf/6058593/7f36c1a47e8d/arm-2018-42-3-433f1.jpg

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