基于数据挖掘的中医药治疗老年心律失常的用药规律分析  

An analysis of medication rules of treating senile arrhythmia in traditional Chinese medicine based on data mining

作　　者：董会 邵静[2] DONG Hui

机构地区：[1]河南中医药大学第一临床医学院,河南郑州450000 [2]河南中医药大学第一附属医院,河南郑州450000

出　　处：《中医临床研究》2022年第14期15-20,共6页Clinical Journal Of Chinese Medicine

基　　金：国家自然科学基金(81641147);河南省中医药科学研究专项课题(2019ZY2027,2018ZYZD08)。

摘　　要：目的:基于数据挖掘技术探讨中医药治疗老年心律失常的用药规律和组方特点。方法:以中药和老年心律失常、老年心悸、老年怔忡等为主题词,收集筛选2000-2021年中国知网数据库、维普数据库及万方数据库收录的相关的期刊及文献,收集期刊及文献中所涉及的处方,将所收集的处方录入Excel表格中,建立老年心律失常数据库,并使用Excel透视功能进行频率统计分析,使用IBM SPSS Modeler 14.1、IBM SPSS Statistics 21.0统计软件对录入的数据进行关联规则分析和复杂系统聚类分析。结果:筛选出符合纳入标准的处方65首,涉及中药115味,中药累计使用频数731次,在纳入的115味中药中,高频中药共19味,频数最高的前6味中药依次为甘草、黄芪、丹参、麦冬、川芎、桂枝,药物分类补虚药和活血化瘀药最为常见,药性以温、平居多,五味以甘味、辛味为主。归经以心经、肺经、脾经为主。关联规则分析显示关联强度较高的药物组合为“甘草→生地黄-麦冬”“黄芪→白术-丹参”“甘草→酸枣仁-当归”等。聚类分析得到药物核心组方4类。结论:治疗老年心律失常的中药以补虚药和活血化瘀药、味甘、性温、归心、肺、脾经为主,数据挖掘得出的组方规律对临床中医药辨证治疗老年心律失常具有一定的参考价值,为新药的研发提供了思路和借鉴。Objective: Based on data mining technology, the medication rules and prescription characteristics of traditional Chinese medicine on senile arrhythmia were explored. Methods: Traditional Chinese medicine, senile arrhythmia, senile palpitations, and senile panic were selected as the subject terms, and the relevant literature in CNKI, VIP database and Wanfang database from 2000 to 2021 was screened out. The collected prescriptions were entered into an Excel table to establish a senile arrhythmia database. The Excel perspective function was performed for frequency statistical analysis. IBM SPSS Modeler 14.1 and IBM SPSS Statistics 21.0 statistical softwares were performed for a association rule analysis and complex system cluster analysis on the entered data. Results: Sixity-five prescriptions that met the inclusion criteria are selected, involving 115 Chinese medicinal materials. The cumulative frequency of Chinese medicinal materials is 731 times. Among the 115 Chinese medicininal materials included, there are 19 high-frequency Chinese medicinal materials in total. The top 6 Chinese medicinal materials with the highest frequency are Gancao(licorice), Huangqi(astragalus), Danshen(salvia miltiorrhiza),Maidong(radix ophiopogonis), Chuanxiong(ligusticum wallichii), and Guizhi(cassia twig). The most common Chinese medicinal materials are tonic medicines and promoting blood circulation medicines. The medicinal properties are mostly warm and calm. The medicinal flavors are mainly sweet and pungent. The active ingredients of the medicines mainly flowed into heart meridian, lung meridian,and spleen meridian. The association rule analysis showed that the medicine combinations with higher correlation strength were “Gancao →Shengdihuang(radix rehmanniae)-Maidong”, “Huangqi → Baizhu(atractylodes macrocephala)-Danshen”, “Gancao → Suanzaoren(spina date seed)-Danggui(angelica)” and so on. Four types of medicine core prescriptions were obtained by a cluster analysis. Conclusion:Chinese medicinal materials on seni

关 键 词：心律失常 老年 数据挖掘 关联规则 聚类分析 

分 类 号：R541.7[医药卫生—心血管疾病]