基于膝关节骨关节炎揭示穴位敏化现象的特征与规律  

Revealing characteristics and rules of acupoint sensitization phenomena: based on knee osteoarthritis

作　　者：徐桂兴 周玉梅[1] 孙宁 崔瑾 常小荣[3] 冀来喜 刘思宇 罗廖君 刘晓佳 王丹[1] 赵凌[1] 蔡定均[1] 郑晖[1] 孙铭声 耿国燕 程建[5] 梁繁荣[1] XU Gui-xing;ZHOU Yu-mei;SUN Ning;CUI Jin;CHANG Xiao-rong;JI Lai-xi;LIU Si-yu;LUO Liao-jun;LIU Xiao-jia;WANG Dan;ZHAO Ling;CAI Ding-jun;ZHENG Hui;SUN Ming-sheng;GENG Guo-yan;CHENG Jian;LIANG Fan-rong(College of Acupuncture-Moxibustion and Tuina,Chengdu University of TCM,Chengdu 610075,Sichuan Province,China;School of Acupuncture-Moxibustion and Tuina,Guizhou University of TCM;College of Acupuncture-Moxibustion and Tuina,Hunan University of CM;School of Acupuncture-Moxibustion and Tuina,Shanxi University of CM;Computer Vision and Machine Intelligence Laboratory,University of Electronic Science and Technology of China)

机构地区：[1]成都中医药大学针灸推拿学院,四川成都610075 [2]贵州中医药大学针灸推拿学院 [3]湖南中医药大学针灸推拿学院 [4]山西中医药大学针灸推拿学院 [5]电子科技大学计算机视觉与机器智能实验室

出　　处：《中国针灸》2022年第1期51-57,共7页Chinese Acupuncture & Moxibustion

基　　金：国家自然科学基金重大项目:81590950。

摘　　要：目的:基于针灸临床优势病种膝关节骨关节炎(KOA)探究穴位敏化现象的特征与规律。方法:结合文献和专家经验,筛选出治疗KOA使用频率最高的穴位,包括:鹤顶、梁丘、命门、内膝眼、曲泉、犊鼻等,对814例KOA患者和217例健康受试者的穴位温度、机械痛阈、压痛阈变化进行检测,采用机器学习的方法判别穴位是否发生敏化。结果:与健康受试者比较,KOA患者穴位温度升高、机械痛阈和压痛阈降低(P<0.05),且存在区分穴位是否发生敏化现象的界值。机器学习结果显示,穴位敏化预测准确率最高为86.7%(肾俞),最低为73.9%(鹤顶);对KOA患者临床3期预测准确率较高,最高为93.3%(曲泉)。结论:本研究证实了穴位敏化现象反映疾病的特征,且与疾病的病情存在关联,可为KOA辅助诊断和病情评估提供参考。Objective To explore the characteristics and rules of acupoint sensitization phenomena based on knee osteoarthritis(KOA),one of the clinical dominant diseases of acupuncture-moxibustion.Methods In combination with literature and expert experiences,the acupoints with the highest use frequency in treatment of KOA were screened,e.g.Heding(EX-LE 2),Liangqiu(ST 34),Mingmen(GV 4),Neixiyan(EX-LE 4),Ququan(LR 8)and Dubi(ST 35).In 814 patients with KOA and 217 healthy subjects,the acupoint temperature,mechanic pain threshold and pressure pain threshold were detected separately.Using machine learning method,the sensitization was judged at each acupoint.Results Compared with healthy subjects,the acupoint temperature was increased and the mechanic pain threshold and pressure pain threshold were reduced in KOA patients(P<0.05).Besides,the cut-off value was presented to distinguish whether the acupoint was sensitized or not.The results of machine learning showed that the highest prediction accuracy of acupoint sensitization was 86.7%(Shenshu[BL 23])and the lowest one was 73.9%(Heding[EX LE 2]).The prediction accuracy at the third clinical stage trial was higher,the highest was 93.3%(Ququan[LR 8])in KOA patients.Conclusion It is confirmed that the acupoint sensitization reflects the characteristics of disease and is correlative with the conditions of illness,which may provide the reference for the auxiliary diagnosis and condition assessment of KOA.

关 键 词：膝关节骨关节炎 穴位敏化 机器学习 穴位温度 机械痛阈 压痛阈 

分 类 号：R246.2[医药卫生—针灸推拿学]