| 引用本文: |
丁健,王卉,林静,薛倩,蒋健康,韩明向,李泽庚.国医大师韩明向治疗肺结节的用药规律研究[J].湖南中医药大学学报,2024,44(4):689-695[点击复制] |
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| 国医大师韩明向治疗肺结节的用药规律研究 |
| 丁健,王卉,林静,薛倩,蒋健康,韩明向,李泽庚 |
| (安徽中医药大学, 安徽 合肥 230038;安徽中医药大学第一附属医院, 安徽 合肥 230031;安徽中医药大学第一附属医院, 安徽 合肥 230031;安徽省中医药科学院中医呼吸病防治研究所, 安徽 合肥 230031;新安医学教育部重点实验室, 安徽 合肥 230038;中医药防治肺系重大疾病应用转化安徽省重点实验室, 安徽 合肥 230031) |
| 摘要: |
| 目的 通过数据挖掘技术，探讨国医大师韩明向临床辨治肺结节处方用药规律与临证心得。方法 收集韩明向教授临床诊治肺结节病历591则，提取方药信息建立数据库，采用古今医案云平台V2.2.3进行频数分析、关联规则分析、聚类分析、高频中药复杂网络分析。结果 591首处方，用药261味，药物出现13 367次，高频使用药物为浙贝母、牡蛎、薏苡仁、莪术、玄参、鱼腥草、陈皮等。高频中药关联分析发现，常用药对为牡蛎-薏苡仁-浙贝母、玄参-浙贝母、莪术-薏苡仁等。核心药物聚类分析共聚为6类，常用清热解毒、理气化痰散结、活血化瘀法治疗肺结节。高频中药复杂网络分析发现，核心处方为消瘰丸，能清热解毒、化痰散结，使肺结节消散。结论 韩明向教授临床治疗肺结节主张调气血、化痰积、清毒结，佐以扶正气。 |
| 关键词: 肺结节 数据挖掘 用药规律 消瘰丸 名医经验 韩明向 |
| DOI：10.3969/j.issn.1674－070X.2024.04.026 |
| 投稿时间：2023-11-27 |
| 基金项目:国家自然科学基金区域创新发展联合基金重点支持项目（U20A20398）；国家自然科学基金面上项目（82374399）；安徽省科技厅临床医学研究转化专项（202204295107020045）；安徽省临床医学研究转化专项（202304295107020111）。 |
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| Medication law of National TCM Master HAN Mingxiang in treating pulmonary nodules |
| DING Jian,WANG Hui,LIN Jing,XUE Qian,JIANG Jiankang,HAN Mingxiang,LI Zegeng |
| (Anhui University of Chinese Medicine, Hefei, Anhui 230038, China;The First Hospital of Anhui University of Chinese Medicine, Hefei, Anhui 230031, China;The First Hospital of Anhui University of Chinese Medicine, Hefei, Anhui 230031, China;Institute of Chinese Medicine Respiratory Disease Prevention and Treatment, Anhui Academy of Chinese Medicine, Hefei, Anhui 230031, China;Key Laboratory of Xin'an Medicine, Ministry of Education, Hefei, Anhui 230038, China;Key Laboratory of Application and Transformation of Chinese Medicine in Prevention and Treatment of Major Pulmonary Diseases, Hefei, Anhui 230031, China) |
| Abstract: |
| Objective To investigate medication law and clinical experience of National TCM Master HAN Mingxiang in treating pulmonary nodules based on pattern identification,through data mining techniques.Methods A total of 591 clinical diagnosis and treatment records of pulmonary nodules by Professor HAN Mingxiang were collected,from which the information of formulas and medicines was extracted to establish a database.The Ancient and Modern Medical Records Cloud Platform V2.2.3 was used to conduct frequency analysis,association rule analysis,cluster analysis,and the complex network analysis of high-frequency Chinese medicines.Results A total of 591 formulas and 261 Chinese medicines were found,with the latter appeared for 13,367 times.Among them,medicines including Zhebeimu (Fritillariae Thunbergii Bulbus),Muli (Ostreae Concha),Yiyiren (Coicis Semen),Ezhu (Curcumae Rhizoma),Xuanshen (Scrophulariae Radix),Yuxingcao (Houttuyniae Herba),and Chenpi (Citri Reticulatae Pericarpium) were high-frequency Chinese medicines.Furthermore,high-frequency Chinese medicines association rule analysis showed that the common Chinese medicinal pairs included Muli (Ostreae Concha)-Yiyiren (Coicis Semen)-Zhebeimu (Fritillariae Thunbergii Bulbus),Xuanshen (Scrophulariae Radix)-Zhebeimu (Fritillariae Thunbergii Bulbus),and Ezhu (Curcumae Rhizoma)-Yiyiren (Coicis Semen).Meanwhile,core medicines were clustered into six categories by cluster analysis.And treatment methods such as clearing heat and removing toxins,circulating qi,transforming phlegm and dissipating nodules,as well as circulating blood and transforming stasis were commonly used to treat pulmonary nodules.Complex network analysis of high-frequency Chinese medicines showed that the core formula was Xiaoluo Pill,with functions of clearing heat and removing toxins,transforming phlegm and dissipating nodules,especially the pulmonary nodules.Conclusion Professor HAN Mingxiang advocates that pulmonary nodules can be treated by regulating qi and blood,transforming phlegm accumulation,and eliminating toxic masses,assisted with tonifying healthy qi. |
| Key words: pulmonary nodule data mining medication law Xiaoluo Pill famous physician's experience HAN Mingxiang |
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