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国医大师黄瑾明治疗失眠用药规律
杨宇1,2, 叶政宏2, 黄瑾明1, 甘向永1,2, 曾雨涵2, 林润东2, 洪炜博2, 叶志铭2
1.广西中医药大学第一附属医院壮医针灸科, 南宁 530023;2.广西中医药大学, 南宁 530001
摘要:
[目的] 通过数据挖掘技术分析国医大师黄瑾明教授治疗失眠的用药规律及思路。[方法] 收集整理2019年1月—2023年12月黄瑾明教授的临证医案,经过筛选并按照统一标准处理后,以符合纳入标准的中药处方为基础,建立数据库,运用“古今医案云平台”进行数据挖掘,分析医案的组方用药频数并进行关联分析与聚类分析。[结果] 共收集失眠患者有效处方82首,药物157味,频数分析指出较常使用的药物有柏子仁、酸枣仁、五味子等,药性以平、温、微寒为主,药味多以甘、辛、苦为主,归经以心、脾经为主。多数药物的功效以止汗、宁心、安神为主。聚类分析得出4组具有较强联系的中药,关联规则分析得出两药关联规则,核心药物共15味。[结论] 黄瑾明教授以“谷道气虚”为理论基础,善于使用经验方黄氏调气汤加减,临床治疗多以调神补虚、通调谷道为治疗大法。
关键词:  数据挖掘  失眠  用药规律  黄瑾明
DOI:10.11656/j.issn.1673-9043.2025.07.01
分类号:R256.23
基金项目:第七批全国老中医药专家学术经验继承工作项目(国中医药办人教函〔2021〕272号);广西中医药大学第一附属医院青年拔尖人才培养项目(院党字〔2022〕48号);广西中医药大学高层次人才队伍建设三年行动计划项目(桂中医大党〔2022〕23号)。
Medication patterns for insomnia treatment by National Traditional Chinese Medicine Master HUANG Jinming:a data mining study
YANG Yu1,2, YE Zhenghong2, HUANG Jinming1, GAN Xiangyong1,2, ZENG Yuhan2, LIN Rundong2, HONG Weibo2, YE Zhiming2
1.Department of Zhuang Medicine Acupuncture, The First Affiliated Hospital of Guangxi University of Traditional Chinese Medicine, Nanning 530023, China;2.Guangxi University of Traditional Chinese Medicine, Nanning 530001, China
Abstract:
[Objective] To analyze the medication patterns and clinical rationale of National Traditional Chinese Medicine Master HUANG Jinming in treating insomnia through data mining techniques. [Methods] After collecting and organizing Professor HUANG Jinming’s clinical records from January 2019 to December 2023,and processing them according to standardized criteria,a database was established based on Chinese medicine formulas that met the inclusion criteria. Data mining was conducted using the “Cloud Platform of Ancient and Modern Medical Cases” to analyze medication frequency,correlation and clustering patterns. [Results] A total of 82 effective formulas for insomnia patients were collected,comprising 157 medicinal ingredients. Frequency analysis revealed the most commonly used medicines:Platycladi Semen(Baiziren),Zizyphi Spinosae Semen(Suanzaoren),and Schisandrae Chinensis Fructus(Wuweizi),with properties primarily being neutral,warm and slightly cold in nature. Most ingredients displayed sweet,pungent and bitter flavors,primarily acting on the Heart and Spleen meridians. The main efficacies were stopping sweating,calming the heart,and tranquilizing the mind. Cluster analysis identified four groups of strongly correlated Chinese medicines,while association rule analysis revealed two-herb association rules with 15 core medicinal combinations. [Conclusion] Professor HUANG Jinming’s treatment is based on the theory of “Valley Dao qi deficiency”,skillfully applying the empirical formula HUANG’s Qi-Regulating Decoction with modifications. The therapeutic principle emphasizes “regulating mental state,tonifying deficiency,and regulating Valley Dao”.
Key words:  data mining  insomnia  medication pattern  HUANG Jinming
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