文章摘要
王清,马浩然,喻强强,孙朋,余建玮,叶超.已上市中成药治疗哮喘用药规律研究[J].中国药事,2022,36(10):1174-1181
已上市中成药治疗哮喘用药规律研究
Study on the Regularity of Marketed Chinese Patent Medicine in Treating Asthma
  
DOI:10.16153/j.1002-7777.2022.10.009
中文关键词: 中成药  哮喘  数据挖掘  用药规律  聚类分析
英文关键词: Chinese patent medicine  asthma  data mining  medication rules  cluster analysis
基金项目:国家自然科学基金( 编号 82060858 );国医大师洪广祥全国名老中医药专家传承工作室 [编号国中医药发(2014)20号];江西省肺系疾病临床研究中心(编号 20181BCG42005);江西省中医优势专科专病(哮病)[编号赣财社指(2021)9号文]
作者单位
王清 江西中医药大学,南昌 330006 
马浩然 江西中医药大学,南昌 330006 
喻强强 江西中医药大学附属医院,南昌 330006 
孙朋 江西中医药大学附属医院,南昌 330006 
余建玮 江西中医药大学附属医院,南昌 330006 
叶超 江西中医药大学附属医院,南昌 330006 
摘要点击次数: 524
全文下载次数: 223
中文摘要:
      目的:探究已上市中成药治疗哮喘的药物相互作用关系和用药配伍规律。方法:在药智网-中成药处方数据库中查找治疗哮喘的中成药处方,通过Excel 2019、古今云医案平台(V2.3.5)、IBM SPSS Modeler 18.0、Cytoscape3.9.1、Origin Pro 2022对其中药组方规律进行归纳分析。结果:共纳入中成药处方62个,涉及中药209味,累计药物频次601次,包含6个证型,用药频次较多的药物有麻黄、甘草、苦杏仁等,药性以温性为主,药味以辛味居多,归经以归肺经为首,功效大多为化痰止咳平喘药,药物关联规则得到21对具有强相关性的药物;系统聚类分析归为四类。结论:通过古今云医案平台数据统计方法和相关数据挖掘技术对已上市中成药中治疗哮喘的处方进行整合,探究其药物组方规律,为临床用药及辨证提供新思路。
英文摘要:
      Objective: To explore the drug interaction relationship and drug compatibility rules of Chinese patent medicine for asthma. Methods: Chinese patent medicine prescriptions for asthma in Yaozhi.com-Chinese patent medicine prescription database were found, and the law of TCM prescription formation were summarized and analyzed through Excel 2019, ancient and modern cloud medical record platform (V2.3.5), IBM SPSS Modeler 18.0, Cytoscape3.9.1, and Origin Pro 2022. Results: A total of 62 prescriptions of Chinese patent medicine were included, involving 209 traditional Chinese drugs. The cumulative frequency of drugs was 601, including 6 syndrome types. The drugs with higher frequency were ephedra, licorice, bitter almond, etc. The medicinal properties were mainly warm, and the medicinal fl avor was pungent. Most of the meridians belonged to the lung meridian, and most of them were phlegm-relieving, cough-relieving and asthma-relieving drugs. 21 pairs of drugs with strong correlation were obtained from drug association rules; and they were classifi ed into four categories by systematic cluster analysis. Conclusion: Through the data statistics method of the ancient and modern cloud medical record platform and related data mining techniques, the prescriptions for asthma in the marketed Chinese patent medicine were integrated, and the rules of their prescriptions were explored to provide new ideas for clinical medication and syndrome diff erentiation.
查看全文   查看/发表评论  下载PDF阅读器
关闭