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基于古籍医案整理的中风用药规律研究
任巧生1      陈健1      彭永生2      李颖1      马亚男1      张梓寒1      高颖3      常静玲1
1.北京中医药大学东直门医院脑病科,北京   100007;
2.北京航空航天大学计算机学院,北京   100191;
3.北京中医药大学中医脑病研究院,北京   100007
Study on medication rules of stroke based on the collation of ancient medical records
REN Qiaosheng1   CHEN Jian1   PENG Yongsheng2   LI Ying1   MA Yanan1   ZHANG Zihan1   GAO Ying3   CHANG Jingling1
1.Department of Encephalopathy, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing   100007,China; 
2.School of Computer Science, Beihang University, Beijing    100191, China; 
3.Institute of Traditional Chinese Medicine Encephalopathy, Beijing University of Chinese Medicine, Beijing   100007, China
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摘要 目的 探究中风古籍医案用药规律。 方法 于2019年12月至2021年12月选取68种中医医案类古籍,运用Python3.8编程语言从医案中提取中风医案的处方信息,录入Excel 2019,并对处方数据进行规范化处理、统计描述、关联分析及其可视化展示,SPSS Statistics 26.0软件完成系统聚类分析。 结果 共计纳入499首医案处方,涉及302味药物,用药总频次为5 178,高频药物(频次≥45)共计32味,最高频次的药物为茯苓,达244次,其次是甘草、半夏、当归、人参、白术等,高频药物药性以温、寒、平性为主,药味以甘、苦、辛为主,药物主要入脾、肺、心、胃、肝、肾经。关联分析得到核心药物组合10组;系统聚类分析将32味高频药物分为7类。 结论 中风古籍医案用药以健脾益气、化痰息风、调补肝肾为主,强调扶正祛邪、标本兼顾,可供临床参考。

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任巧生1 陈健1 彭永生2 李颖1 马亚男1 张梓寒1 高颖3 常静玲1
关键词 古籍医案中风数据挖掘用药规律    
Abstract:Objective To explore the medication rules of ancient medical records in stroke. Methods From December 2019 to December 2021, A total of 68 kinds of ancient books of traditional Chinese medicine medical records were selected, the prescription information of stroke medical records was extracted from medical records using Python3.8 programming language, input into Excel 2019, and the prescription data was normalized processing, statistical description, association analysis, and visual display. SPSS Statistics 26.0 software to complete the system cluster analysis. Results A total of 499 prescriptions were included in the first medical records, involving 302 types of drugs, with a total drug use frequency of 5 178 , and 32 kinds of high-frequency drugs (frequency ≥45). The drug with the highest frequency was Poria, which was 244 times, followed by Glycyrrhizae Radix Et Rhizoma, Pinelliae Rhizoma, Angelicae Sinensis Radix, Ginseng Radix Et Rhizoma, Atractylodis Macrocephalae Rhizoma, and so on. The drug natures of high frequency drugs were mainly warm, cold, and plain, and the flavours of drugs was mainly sweet, bitter, and pungent, and the drugs were mainly channeled into the spleen, lung, heart, stomach, liver, and kidney channels. A total of ten groups of core drug combinations were obtained by association analysis. The 32 high frequency drugs were divided into seven categories by systematic cluster analysis. Conclusion The drugs used in ancient medical records of stroke mainly focus on invigorating spleen and benefiting qi, eliminating phlegm and extinguish wind, regulating liver and kidney, emphasizing both strengthening vital qi to eliminate pathogenic factor, giving consideration to both manifestation and root cause, which can be used for clinical reference.
Key wordsAncient medical records    Stroke    Data mining    Medication rules
    
基金资助:国家重点研发计划项目(2019YFC1709200)。
通讯作者: 常静玲(1970.7-),女,博士,主任医师,教授,博士生导师;研究方向:中医药防治脑病。   
作者简介: 任巧生(1996.2-),男,北京中医药大学第一临床医学院2020级中医内科学专业在读硕士研究生;研究方向:中医药防治脑病。
引用本文:   
任巧生1 陈健1 彭永生2 李颖1 马亚男1 张梓寒1 高颖3 常静玲1. 基于古籍医案整理的中风用药规律研究[J]. 中国医药导报, 2023, 20(7): 13-16.
REN Qiaosheng1 CHEN Jian1 PENG Yongsheng2 LI Ying1 MA Yanan1 ZHANG Zihan1 GAO Ying3 CHANG Jingling1. Study on medication rules of stroke based on the collation of ancient medical records. 中国医药导报, 2023, 20(7): 13-16.
链接本文:  
https://www.yiyaodaobao.com.cn/CN/10.20047/j.issn1673-7210.2023.07.02     或     https://www.yiyaodaobao.com.cn/CN/Y2023/V20/I7/13

 

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