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根据韩国版疼痛 DETECT 问卷的感觉症状特征对周围神经性疼痛患者进行亚组分类。

Subgrouping of Peripheral Neuropathic Pain Patients According to Sensory Symptom Profile Using the Korean Version of the PainDETECT Questionnaire.

机构信息

Department of Neurology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea.

Department of Neurology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Korea.

出版信息

J Korean Med Sci. 2022 Jan 17;37(3):e8. doi: 10.3346/jkms.2022.37.e8.

DOI:10.3346/jkms.2022.37.e8
PMID:35040293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8763881/
Abstract

BACKGROUND

A culturally validated Korean version of the PainDETECT Questionnaire (PD-Q) was used to identify neuropathic pain components (NeP) in patients suffering from chronic pain. The purpose of this study was to determine if the Korean PD-Q can be used to subgroup patients with peripheral NeP according to sensory symptom profiles.

METHODS

This study included 400 Korean patients with peripheral neuropathic pain diagnosed as probable or definite NeP. The total scores and subscores for each item in PD-Q were transformed into a Z-score for standardization. Hierarchical cluster analysis was performed to identify clusters of subjects by PD-Q scores.

RESULTS

The mean total PD-Q score of the study participants was 14.57 ± 6.46. A hierarchical cluster analysis identified 5 clusters with distinct pain characteristic profiles. Cluster 1 had relatively severe burning and tingling sensations. The mean total PD-Q score for cluster 2 was the lowest of the 5 clusters. Cluster 3 tended to be vulnerable to pain in response to cold/heat stimulation. Cluster 4 showed relatively severe pain induced by physical stimuli, such as light touch or slight pressure. Cluster 5 had high scores for all NeP symptoms.

CONCLUSION

This study demonstrates the ability of patients to cluster by symptoms using the Korean PD-Q. Subgrouping of peripheral neuropathic pain by sensory symptom profile may be useful in making effective drug treatment decisions.

摘要

背景

使用经过文化验证的韩国版疼痛 DETECT 问卷(PD-Q)来识别患有慢性疼痛的患者的神经性疼痛成分(NeP)。本研究的目的是确定韩国 PD-Q 是否可用于根据感觉症状特征对周围神经性疼痛患者进行亚组分类。

方法

本研究纳入了 400 名韩国周围神经性疼痛患者,这些患者被诊断为可能或明确的 NeP。PD-Q 的每个项目的总分和子分数均转换为 Z 分数进行标准化。采用层次聚类分析根据 PD-Q 评分对受试者进行聚类。

结果

研究参与者的平均 PD-Q 总分得分为 14.57±6.46。层次聚类分析确定了 5 个具有不同疼痛特征谱的聚类。聚类 1 具有相对严重的烧灼感和刺痛感。5 个聚类中,聚类 2 的平均 PD-Q 总分最低。聚类 3 对冷/热刺激引起的疼痛较为敏感。聚类 4 表现出相对严重的由物理刺激引起的疼痛,如轻触或轻微压力。聚类 5 的所有神经性疼痛症状评分均较高。

结论

本研究表明,韩国 PD-Q 可根据症状对患者进行聚类。根据感觉症状特征对周围神经性疼痛进行亚组分类可能有助于做出有效的药物治疗决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/add4/8763881/44dc2b15e4d6/jkms-37-e8-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/add4/8763881/44dc2b15e4d6/jkms-37-e8-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/add4/8763881/44dc2b15e4d6/jkms-37-e8-g001.jpg

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