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《中华人民共和国卫生部药品标准——中药成方制剂》金银花用药规律分析 被引量:10

Analysis on Composition Principles of Prescriptions Containing Lonicerae Japonicae Flos from National Standard for Chinese Patent Drugs
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摘要 目的基于中医传承辅助平台,分析《中华人民共和国卫生部药品标准——中药成方制剂》(简称《中药部颁标准》)含金银花方剂组方规律,为临床应用及新药研发提供参考。方法应用中医传承辅助平台(V2.0)软件,构建数据库,使用软件的关联规则、改进的互信息法等数据挖掘方法,分析含有金银花方剂中常用的药物、组合规则、核心组合。结果通过对201首方剂的分析,总结金银花常用药物组合21个,主治疾病19种。基于金银花的主治疾病,选择代表性较强的"感冒"和"疮疡",通过对用药频次、证候规律、药物组合等进一步对比分析,得出同一药物在治疗不同疾病时不同的使用规律。结论《中药部颁标准》中含金银花方剂所用药物多具有疏散风热和清热解毒功效,用药较为集中,组方清晰;用药规律反映了金银花治疗不同疾病时的配伍特点,符合多功效中药的临床使用现状。 Objective To analyze the composition principles of Chinese patent drugs containing Lonicerae Japonicae Flos (Jinyinhua) in National Standard for Chinese Patent Drugs (NSCPD) enacted by Ministry of Public Health of China by using Traditional Chinese Medicine Inheritance Support System (TCMISS), and provide reference for its clinical application and development. Methods Based on TCMISS (V2.0), with methods of association rules and improved mutual information method, we analyzed the composition patterns and rules of single drugs and drug combinations. Results Through analyzing on the 201 patent drugs, 21 core drug combinations and 19 diseases that Jinyinhua commonly used were mined, from which influenza, and sore and ulcer were chosen to further analysis, including core drugs and drug combination rules, syndrome etc, disclosing the composition principles of Jinyinhua used in different diseases. Conclusion Patent drugs containing Jinyinhua collected from NSCPD mainly could clear heat and remove toxicity, and the composition principles reflect the compitable characteristics of Jinyinhua in treating different diseases, which are in accordence with clinical application of multiple-efficacy drugs.
出处 《中国中医药信息杂志》 CAS CSCD 2014年第3期10-13,共4页 Chinese Journal of Information on Traditional Chinese Medicine
基金 中医药行业科研专项(200907001-5)
关键词 金银花 中药部颁标准 中医传承辅助平台 组方规律 数据挖掘 Lonicerae Japonicae Flos National Standard for Chinese Patent Drugs TCM Inheritance Support System composition principle of prescription data mining
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