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《中华人民共和国卫生部药品标准·中药成方制剂》生地黄用药规律分析 被引量:3

Analysis on Drug Using Regularity of Rehmanniae Radix in National Standard for Chinese Patent Drugs
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摘要 目的分析《中华人民共和国卫生部药品标准·中药成方制剂》(以下简称《中药部颁标准》)含生地黄方剂组方规律,为临床应用及新药研发提供参考。方法借助中医传承辅助平台(V2.0)软件,对《中药成方制剂》中含有生地黄方剂收集整理,构建数据库,采用关联规则、改进的互信息法等数据挖掘方法,分析其主治疾病、证候规律及常用配伍组合。结果含有生地黄方剂共357首,常用药物组合17个;主治疾病22种,对其中2种高频疾病"不寐"、"眩晕"常用药组合对比分析,显示生地黄不同配伍治疗作用不同。结论《中药部颁标准》中含生地黄方剂所用药物多具有清热凉血、养阴生津功效,用药较为集中,组方法度清晰;用药规律反映了生地黄治疗不同疾病时的配伍特点,为充分发挥生地黄的功效及临证科学组方提供依据。 Objective To analyze the composition principles of Chinese patent drugs containing Rehmanniae Radix; To provide reference for clinical application and new drug research and development. Methods Based on the software Traditional Chinese Medicine Inheritance Support System (V2.0), the authors built prescription database containing Rehmanniae Radix in National Standard for Chinese Patent Drugs (NSCPD). Then the authors adopted the statistical module by using data mining methods such as association rules and improved mutual information method, with a purpose to analyze the attending disease, combination rules and the core groups in prescriptions containing Rehmanniae Radix. Results In 357 prescriptions containing Rehmanniae Radix, 17 most commonly used drug combinations were mined. Meanwhile, two diseases, namely, insomnia and vertigo were chosen from the 22 diseases that Rehmanniae Radix was most frequently used to make deeper analysis, showing that Rehmanniae Radix can achieve different therapeutic effects through different compatibility. Conclusion Prescriptions containing Rehmanniae Radix in NSCPD mainly concentrate on clear heat and cool blood, and nourish Yin. The composition principles obtained from the research that Rehmanniae Radix used when curing different diseases can fully play the efficacy of Rehmanniae Radix and provide evidence for clinical scientific formulae.
出处 《中国中医药信息杂志》 CAS CSCD 2014年第9期17-20,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 生地黄 中药部颁标准 组方规律 数据挖掘 Rehmanniae Radix National Standard for Chinese Patent Drugs compositionprinciple of prescription data mining
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