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基于关联网络挖掘的中药不良反应与药性相关关系分析及用药警戒探讨 被引量:10

Correlation Analysis of Adverse Drug Reactions and Drug Properties Based on Association Network Mining:Pharmacovigilance of Chinese Medicine
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摘要 目的:解析中药不良反应的发生与其性味归经、有毒无毒等药性之间的相关关系,从中药药性分布探讨中药用药警戒。方法:筛选《中华人民共和国药典》2015版第一部中药饮片,通过系统文献检索分析每种中药饮片不良反应报道,采取频数分布及关联规则挖掘、网络构建方法,分析与中药临床用药警戒相关的药性参数。结果:618种中药及饮片中有152种中药有不良反应报道,其中无毒中药109种,占71.71%。大毒及有毒中药发生不良反应的比例明显高于无毒中药,分别达到70%和66.67%。温性和寒性中药发生不良反应的频数最高,而热性中药发生不良反应的比例最高;苦味和辛味发生不良反应的中药种数最多;归肝、肺、肾等经发生不良反应的中药种数最多。关联规则挖掘及关联网络结果显示,包含大毒、有毒、温、热以及苦味、辛味和归心、肝等经的关联规则最多,大毒与归肝经组合发生不良反应的概率高达86%;而温热性中药与辛苦味的组合可以导致不良反应发生概率达80%以上,与肝经的组合可以达到75%。结论:中药不良反应的发生除了与毒性记载密切相关之外,也与中药的性味归经等存在一定的关联关系,这些结果可以为中药尤其是无毒性记载中药的用药安全和警戒提供参考。 Objective: To analyze the correlation between adverse drug reactions(ADRs) of Traditional Chinese Medicine(TCM) and its properties, such as meridian tropism, toxicity and non-toxicity, and to explore the pharmacovigilance of TCM from the distribution of its properties. Methods: Chinese medicine and its decoction pieces were screened from Pharmacopoeia of People’s Republic of China(1 st section, 2015 edition), and the ADRs of each Chinese Medicins(CMs)were analyzed by systematic literature searching. The properties parameters related to ADRs of CMs were screened by frequency distribution, association rule mining and network construction methods. Results: Among 618 kinds of CMs,152 kinds of CMs had been reported to have adverse reactions. A total of 109 kinds of non-toxic CMs accounted for71.71%. The incidence of adverse reactions of"strong toxic"and toxic CMs was significantly higher than that of nontoxic CMs, reaching 70% and 66.67% respectively. For the distribution of cold and hot nature, the frequency of adverse reactions of warm and cold herbs is the highest, while the proportion of adverse reactions of hot herbs is the highest;for the distribution of taste, bitter and acrid herbs have the largest number of adverse reactions;for the distribution of meridians tropism, liver, lung, kidney present the largest number of ADRs. Results of association rule mining and association network showed that the association rules including"strong toxic", toxic, warm, hot, bitter, acrid and heart,liver and other meridians are the most, and the combination of"strong toxic"and liver meridians has a high confidence equal to 86%;CMs with the combination of warm and bitter can lead to confidence of more than 80%. Moreover, the confidence of combination of warm and liver meridian can reach 75%. Conclusion: The occurrence of ADRs of TCMs is not only closely related to toxicity records, but also related with the cold-hot nature, taste and meridian tropism of TCM.These results can provide reference for the safety use and pharmacovigi
作者 付先军 王振国 李学博 周扬 陈聪 邵欣欣 Fu Xianjun;Wang Zhenguo;Li Xuebo;Zhou Yang;Chen Cong;Shao Xinxin(Institute for Traditional Chinese Medicine Literature and Culture,Shandong University of Traditional Chinese Medicine,Jinan 250355,China;Key Laboratory of Ministry of Education on Classic Theory of Traditional Chinese Medicine,Shandong University of Traditional Chinese Medicine,Jinan 250355,China;School of Management,Shandong University of Traditional Chinese Medicine,Jinan 250355,China)
出处 《世界科学技术-中医药现代化》 CSCD 北大核心 2019年第3期355-360,共6页 Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金 国家自然科学基金委面上基金项目(81473369):基于"性-构"关系的中药成分寒热药性评价,负责人:付先军 国家科技部重点基础研究发展计划(973计划)课题(2007CB512601):基于四性的中药性-效-物质关系研究,负责人:王振国 国家科技部重点研发计划项目(2017YFC1702703):丹参核心功效与生物学机制研究,负责人:付先军
关键词 中药药性 不良反应 关联规则挖掘 中药药物警戒 Properties of Chinese medicine adverse drug reactions ADRs association rules mining pharmacovigilance of Chinese medicine
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