基于《中华医典》分析中医治疗癫痫用药规律*
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(陕西中医药大学基础医学院,陕西 咸阳 712046)

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R277.7

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收稿日期: 2021 - 03- 02 基金项目: 国家自然科学基金(81873177) 第一作者简介: 任润雪(1997-),女,在读硕士研究生,研究方向:心脑血管病证治规律与证候分子生物学研究。 通信作者: 范文涛,E-mail:1404113637@qq.com


Analysis on the Law of Traditional Chinese Medicine in the Treatment of Epilepsy Based on Chinese Medical Code
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(The Basic Medical College of Shaanxi University of Chinese Medicine, Xianyang 712046, China)

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    摘要:

    目的 查询《中华医典》癫痫方剂的载录情况,总结癫痫的选方用药特点。方法 电子检索《中华医典》中关于历代中医著作治疗癫痫的方剂,使用Excel Office 2019建立数据库,分析方药频次、功效、性味、归经。采用中医传承辅助平台(V2.5)分析治疗癫痫的组方规律、核心药对、新处方。结果 共涉及中药150味,频次≥8次药物22味,四气以温、平、寒为主,五味以辛、苦、甘为主,归肝、脾、心、肺经,高频中药类别为平肝息风药、解表药、补虚药,获得高频药物组合22组,核心药物8组,新方4个。结论 通过数据挖掘对治疗癫痫用药规律和新处方分析,能够为癫痫的治疗提供理论依据和新思考。

    Abstract:

    Objective To inquire about the records of epilepsy prescriptions in Chinese Medical Code, and to summarize the characteristics of prescription selection and medication of epilepsy. Methods Through the electronic search of Chinese Medical Code, we found the prescription for the treatment of epilepsy in the works of traditional Chinese medicine of previous dynasties. Excel Office 2019 was used to establish a database to analyze the frequency, efficacy, taste and return of prescriptions.The traditional Chinese medicine inheritance support system(V2.5) was used to analyze the prescription rules, core drug pairs and new prescriptions in the treatment of epilepsy. Results A total of 150 Chinese medicines were involved. There are 22 traditional Chinese medicines with frequency≥8 times. The main drug properties were warm, clam and cold. The main tastes were mainly pungent, bitter and sweet. The highest frequency of meridian tropism were liver, spleen, heart and lung channels. The categories of traditional Chinese medicines with high frequency of occurrence were liver wind calmed drug, diaphoretic drug and qi-restoratives medicine, obtaining 22 groups of high frequency drug, including 8 groups of core drugs and 4 new prescriptions. Conclusion The analysis of the rules and new prescriptions for the treatment of epilepsy through data mining can provide theoretical basis and new thinking for the treatment of epilepsy.

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