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作 者:范伟森 宋秉熠 刘云胜 张坤[1] 郭凯新 井珊珊[1] Fan Weisen;Song Bingyi;Liu Yunsheng;Zhang Kun;Guo Kaixin;Jing Shanshan(Shandong University of Traditional Chinese Medicine,Jinan 250014)
机构地区:[1]山东中医药大学,济南250014
出 处:《中药药理与临床》2021年第2期188-191,共4页Pharmacology and Clinics of Chinese Materia Medica
基 金:国家自然科学基金(编号:81874484、81674018)。
摘 要:目的:探讨古代医家治疗不育症的中药组方特点,为临床中药治疗男性不育提高药物选择。方法:通过关键词检索第5版《中华医典》中有关不育的古籍条文,进行筛选并录入表格,进行频数分析。运用SPSS Statistics 23.0和SPSS Modeler 18.0对高频中药进行聚类与关联规则分析。结果:本次研究共涉及211首古方,共有313味中药,总频次为2 534次。经统计频次大于20的32味中药可知,古代治疗男性不育症的中药以甘味药为主,药性多温和。其归经多为脏经,以肾、肝、脾、心为主。功效聚类得出治疗不育症药物主要有滋阴温阳、益精养血、补肾养肝、健脾、安神和补气等功效。三阶关联共35条。四阶关联共86条。并且通过中药频数发现古代医家在治疗男性不育时,除基本的补肾养肝外,仍有精血同治、温阳重阴、健脾强精、宁心安神四条治疗男性不育的思路。结论:数据挖掘可充分反映古代治疗男性不育的处方用药规律,可为临床用药与中药研究提供参考。Objective: To explore the characteristics of traditional Chinese medicine prescriptions treating infertility in ancient Chinese medicine, and to improve the medication choice for the treatment of male infertility. Methods: Ancient literatures about male sterility in the 5 th edition of Zhonghuayidian were searched by keywords, then literatures were screened and entered into Excel to analyze the frequency. Clustering and association rules of traditional Chinese medicine with high frequency were analyzed by SPSS statistics 23.0 and SPSS modeler 18.0. Results: A total of 211 ancient prescriptions and 313 Chinese herbs were involved in this study, with a frequency of 2534 times. 32 traditional Chinese drugs with frequency higher than 20 were analyzed, the results showed that the main drug flavor was Gan and the main characteristic was Wen, then main channel tropism was Zang, including kidney, liver, spleen and heart. Cluster analysis result showed the main effects of TCM for the treatment of male infertility were Zhiyinwenyang, Yijingyangxue, Bushenyanggang, Jianpi, Anshen and Buqi. There were 35 third order associations and 86 fourth order associations. By analyzing the medical frequency, it was found that except Bushenyanggan, theories of Jingxuetongzhi, Wenyangzhongyin, Jianpiqiangjing, Ningxinanshen were also included in the ancient treatment for male infertility. Conclusion: Data mining can fully reflect the rule of prescriptions in the ancient treatment for male infertility, and can provide reference for clinical use and the traditional Chinese medicine research.
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