基于数据挖掘的针灸治疗股外侧皮神经炎的选穴规律分析  

Analysis of Acupoint Selection Rule of Acupuncture in Treatment of Lateral Femoral Cutaneous Neuritis Based on Data Mining

作　　者：唐正 李纪新 李涵 张永臣[3] 李心沁[3] TANG Zheng;LI Jixin;LI Han;ZHANG Yongchen;LI Xinqin(College of Acupuncture and Massage,Shandong University of Traditional Chinese Medicine,Ji′nan 250000,China;Xiyuan Hospital,China Academy of Chinese Medical Sciences,Beijing 100091,China;Affiliated Hospital of Shandong University of Traditional Chinese Medicine,Ji′nan 250000,China)

机构地区：[1]山东中医药大学针灸推拿学院,济南250000 [2]中国中医科学院西苑医院,北京100091 [3]山东中医药大学附属医院,济南250000

出　　处：《世界中医药》2024年第6期871-877,共7页World Chinese Medicine

基　　金：国家自然科学基金面上项目(81973695)--利用大数据分析与挖掘技术探析五输穴主治优势病症和配伍规律;山东省自然科学基金面上项目(ZR2022MH208)--电针肾俞、神庭穴对AD大鼠脑组织内质网自噬的干预作用研究。

摘　　要：目的:运用数据挖掘技术探析针灸治疗股外侧皮神经炎的选穴规律。方法:检索国家知识基础设施数据库(CNKI)、中国学术期刊数据库(CSPD)、中文科技期刊数据库(CCD)、中国生物医学文献数据库(CBM)、PubMed、Web of Science、EMbase、Cochrane Library8大数据库自建库至2022年12月31日的有关针灸治疗股外侧皮神经炎的文献;运用Excel 2019建立数据库并对腧穴进行频次、属性统计;运用SPSS Modeler 18.0 Apriori算法分析关联规则,挖掘穴位频繁项集;运用Cytoscape 3.9.0构建穴位共现复杂网络,并分析核心穴位拓扑属性值,筛选核心处方;运用SPSS Statistics 26.0对核心穴位组间联系进行系统聚类,绘制谱系图,挖掘穴位间聚类关系。结果:1)共纳入111篇文献,提取113条有效针灸处方,涉及54种腧穴,总频次479次;2)腧穴分布以足阳明胃经及足少阳胆经居多;3)所选取的腧穴多位于下肢;4)经穴频次前3为风市、伏兔、髀关;所选特定穴以五输穴主,其中合穴频次最高;5)腧穴配伍方面,风市-伏兔支持度最高。聚类分析得出核心针灸处方包括“关元、商丘、肾俞、气海俞”等7组,并挖掘出治疗股外侧皮神经炎的新核心针灸处方“风市、阳陵泉、伏兔、阿是穴、足三里、髀关、梁丘、血海、中渎、阴市”。结论:现代针灸治疗股外侧皮神经炎的选穴以局部穴和循经取穴为主,且多应用特定穴,重视多经脉,远近相配提高疗效。Objective:To explore the rule of acupoint selection in the treatment of lateral femoral cutaneous neuritis by acupuncture and moxibustion with data mining technology.Methods:The literatures on the treatment of lateral femoral cutaneous neuritis by acupuncture were retrieved from eight self-established databases,namely the National Knowledge Infrastructure Database(CNKI),the Chinese Academic Periodicals Database(CSPD),the Chinese Science and Technology Periodicals Database(CCD),the Chinese Biomedical Literature Database(CBM),PubMed,Web of Science,EMbase and Cochrane Library from the date of library establishment until December 31,2022.The database was established with Excel 2019 and the frequency and attribute statistics were carried out on the acupoints.SPSS Modeler 18.0 Apriori algorithm was used to analyze association rules,and frequent item sets of acupoints were mined.The complex acupoint co-occurrence network was constructed using Cytoscape 3.9.0,and topological attribute values of core acupoints were analyzed to screen core prescriptions.SPSS Statistics 26.0 was used to systematically cluster the connections between core acupoint groups,draw pedigree diagrams,and excavate the clustering relationships between acupoints.Results:1)A total of 111 literatures were included,113 effective acupuncture prescriptions were extracted,involving 54 kinds of acupoints,with a total frequency of 479;2)The distribution of acupoints was mainly the stomach meridian of Foot Yangming and foot Shaoyang gallbladder meridian;3)The first 3 meridian points frequency are Fengshi,Futu,Biguan;the selected points were dominated by Wushu points,and the frequency of He-sea points was the highest;4)Acupoint selection sites were mostly located in lower limbs;5)On the aspect of compatibility of acupoints,Fengshi-Futu had the highest degree of support.Cluster analysis showed that the core acupuncture prescriptions included 7 groups such as“Guanyuan,Shangqiu,Shenshu,Qihaishu”,and the new core acupuncture prescription for the treatment of fe

关 键 词：股外侧皮神经炎 针灸 数据挖掘 选穴规律 聚类分析 经络 五输穴 核心处方 

分 类 号：R246.6[医药卫生—针灸推拿学]