神经药理学报

神经药理学报 ›› 2021, Vol. 11 ›› Issue (4): 9-.DOI: 10.3969/j.issn.2095-1396.2021.04.003

• 研究论文 • 上一篇    下一篇

基于国家专利数据库中药复方治疗肺心病用药规律研究

胡永生，吴春兴，武亭宇，王彬，王博龙   

  1. 宜春学院，宜春，336000，中国

  • 出版日期:2021-08-26 发布日期:2021-08-26
  • 通讯作者: 王博龙，博士，副教授，硕士生导师；研究方向：药物临床前药理研究及临床有效性与安全性评价；E-mail：wblong77@126.com
  • 作者简介:胡永生，硕士研究生；研究方向：临床药学、药理学；E-mail：978238275@qq.com
  • 基金资助:

    江西省教育厅科技项目（No.GJJ12596）

Based on the National Patent Database to Study the Rules of Using Traditional Chinese Medicine Compound Prescriptions for the Treatment of Pulmonary Heart Disease

HU Yong-sheng，WU Chun-xing，WU Ting-yu，WANG Bin，WANG Bo-long   

  1. Yichun University，Yichun，336000，China

  • Online:2021-08-26 Published:2021-08-26

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摘要：

目的：基于数据挖掘技术，挖掘国家专利数据库中治疗肺心病的中药复方，探究其用药规律，为临床治疗肺心病提供依据。方法：检索国家知识产权局收录的中药复方专利治疗肺心病数据，将符合筛选标准的专利复方录入Excel 2021 建立数据库，统计涉及中药性味的归经。采用IBM SPSS Modeler 18.0 进行高频中药关联规则分析。利用IBM SPSS Statistic 23.0 软件进行聚类分析、因子分析。结果：纳入中药复方专利数据80 条，共涉及中药244 味，累计使用939 次。高频中药药性以温、寒为主；药味多见苦、辛；以肝经、心经最常见。支持度较高的关联规则有“五味子- 人参”、“五味子- 麦冬”、“甘草- 川芎”等；核心药物为甘草，五味子，当归等。聚类分析得到6 类有潜在配伍关系的中药；因子分析提取11 个公因子。结论：治疗肺心病应多选甘草、五味子、黄芪、当归、苦杏仁等补虚收涩药、活血化瘀药、化痰止咳平喘药等组方，坚持从痰瘀同治，气血共调以提高临床疗效。

关键词: 肺心病, 专利, 数据挖掘, 中药复方, 配伍规律

Abstract:

Objective：Based on data mining，to explore medication rules in the treatment of pulmonary heart disease by mining the traditional Chinese medicine compound prescriptions in the national patent database，in order to provide inference for clinical treatment of pulmonary heart disease. Methods：The related traditional Chinese medicine patent compounds in the national patent database were precisely extracted，and the patent compounds meeting the screening criteria entered into Excel 2021 to establish a database，which could be used to count the the nature，flavor and meridians of traditional Chinese medicine. IBM SPSS Modeler 18.0 and IBM SPSS Statistic 23.0 software were applied to conduct the association rule，cluster analysis and factor analysis of high-frequency traditional Chinese medicine. Results：80 traditional Chinese medicine patent compounds were finally collected，involving 244 traditional Chinese medicine，which were used 939 times in total. The properties of high-frequency traditional Chinese medicine were mainly warm and cold； the taste was mostly bitter and acrid； while the liver meridian and the heart meridian were the most common. The association rules with high support were “Schisandrae Chinensis Fructus-Ginseng Radix et Rhizoma”，“Schisandrae Chinensis Fructus-Ophiopogonis Radix”，“Glycyrrhizae Radix et Rhizoma-Chuanxiong Rhizoma”； the core traditional Chinese medicine mainly included Glycyrrhizae Radix et Rhizoma，Schisandrae Chinensis Fructus，Angelicae Sinensis Radix. Cluster analysis obtained 6 types traditional Chinese medicine with potential compatibility relationship； while factor analysis extracted 11 common factors. Conclusion：In the treatment of pulmonary heart disease，tonic and astringent medicine，blood stasis medicine，Phlegm-relieving cough and asthma medicine，such as Glycyrrhizae Radix et Rhizoma，Schisandrae Chinensis Fructus，Astragali Raadix，Angelicae Sinensis Radix，and Armeniacae Semen Amarum should be chose first； what’s more，the therapeutic principles that is to treat phlegm and blood stasis at the same time and co-regulation of qi and blood should be adhered，which can improve curative effect in clinical.

Key words: pulmonary heart disease, patent, data mining, traditional Chinese medicine compound prescription, compatibility law

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