摘要
目的:应用数据挖掘技术研究张静生教授治疗重症肌无力用药规律。方法:收集由张静生教授开具的重症肌无力处方255首,应用SPSS Clementine 12.0和IBM SPSS 26.0对处方中药物频数及其性味归经等进行频数统计、关联规则、聚类分析等,回顾性地研究。结果:对筛选出的232首处方进行分析,涉及中药多入肝脾肾经,以甘温平的补气药,佐收涩、理气、解表、活血化瘀药等,得到治疗重症肌无力的高频药物为山茱萸、枸杞子、陈皮、当归、黄芪等47味药物;同时在支持度≥10%,置信度≥80%,提升度≥1.0条件下挖掘出核心药对为山茱萸-黄芪,山茱萸-枸杞子、菊花-枸杞子、黄芪、防风-升麻、益母草-枳壳、菊花-桑叶、枳壳-桔梗等为关联度较高的药物组合;聚类分析得出治疗以处方版黄芪复方为主,佐以保和丸、丹参生脉饮等方剂。结论:数据挖掘分析结果显示与张静生教授学术思想和用药特点相符,多用补脾益肾,升举阳气之品,针对伴随不同症状而应用不同药物组合。
Objective:To apply data mining technology to study the medication rule of ZHANG Jingsheng in the treatment of myasthenia gravis.Methods:Collecting 255 prescriptions for myasthenia gravis issued by ZHANG Jingsheng,and use SPSS Clementine 12.0 and IBM SPSS 26.0 to conduct frequency statistics,association rules,cluster analysis,etc.,on the frequency of prescription drugs and their characteristics and flavors,etc.,retrospectively the study.Results:Analyzed the 232 first prescriptions that were screened out.The Chinese medicines were mostly used in the liver,spleen and kidney meridians,and the Qi-invigorating medicine of Ganwenping,supplemented with astringent,Qi-regulating,relieving,blood-activating and blood-stasis-removing drugs,etc.The most frequently used drugs are cornus,wolfberry,tangerine peel,angelica,astragalus,etc.47 drugs;at the same time,under the conditions of support≥10%,confidence≥80%,and promotion≥1.0,the core drug pairs are dogwood-astragalus,dogwood-Chinese wolfberry,chrysanthemum-wolfberry,astragalus,Fangfeng-cohosh,motherwort-citrus aurantium,chrysanthemummulberry leaf,citrus aurantium-platycodon,etc.are the combination of drugs with higher correlation;cluster analysis shows that the treatment is the prescription version of astragalus compound Mainly,accompanied by prescriptions such as Baohe Pills and Danshen Shengmaiyin.Conclusion:The results of data mining analysis show that it is consistent with ZHANG Jingsheng’s academic thoughts and characteristics of medication.It is often used to invigorate the spleen and kidney,promote Yang Qi,and use different drug combinations for different symptoms.
作者
张一博
乔文军
ZHANG Yibo;QIAO Wenjun(Liaoning University of Traditional Chinese Medicine,Liaoning Shenyang 110032,China;Liaoning Hospital of Traditional Chinese Medicine,Liaoning Shenyang 110032,China)
出处
《中医药临床杂志》
2021年第6期1134-1140,共7页
Clinical Journal of Traditional Chinese Medicine
基金
2019年省重点实验室、技术创新中心及研究院建设计划(2020JH13/10200022)。
关键词
数据挖掘
张静生
重症肌无力
用药规律
Data mining
ZHANG Jingsheng
Myasthenia gravis
Medication rule