中药面膜治疗寻常痤疮用药规律的数据挖掘研究  

A study on the medication rule of TCM medicine facial mask on acne vulgaris based on data mining

作　　者：陈家祥 刘彬[2] CHEN Jiaxiang

机构地区：[1]辽宁中医药大学,辽宁沈阳110847 [2]辽宁中医药大学附属医院,辽宁沈阳110032

出　　处：《中医临床研究》2022年第1期43-47,共5页Clinical Journal Of Chinese Medicine

摘　　要：目的:探寻中药面膜治疗寻常痤疮的用药规律。方法:通过检索中国知网、万方数据库、维普数据库、中国生物医学文献服务系统2012年1月1日-2021年1月1日关于中药面膜治疗寻常痤疮的文献,收集文献记载的相关中药面膜方剂,运用Microsoft Excel、IBM SPSS Statistics 26.0、IBM SPSS Modeler 14.2软件建立数据库,并对处方进行用药频数分析、性味归经分析、聚类分析、高频用药关联规则分析。结果:对中药面膜治疗寻常痤疮的的临床文献进行检索并整理,检索出文献572篇,纳入符合标准的文献159篇,共涉及159首方剂,177味中药,其中高频药物(≥15次)共22味,以白芷最常见,药性以寒、微寒为主,药味以苦、微苦居多,归经以肝经最多;高频药物聚类分析可划分为4类,分别为清热类(蒲公英,紫花地丁,野菊花,丹参,连翘,金银花,夏枯草,黄芩,黄连,黄柏,白花蛇舌草)、消肿散结止痛类(白茯苓,白蔹,白芷,白及)、解毒疗疮类(冰片,硫磺,大黄,天花粉,苦参)、活血行瘀托毒类(当归,皂角刺),其中以清热类药物使用频次最高,占比高达55.41%;药物关联规则分析表明,白芷-大黄(36.81%)、黄连-黄柏-黄芩(18.40%)分别是二阶关联规则与三阶关联规则中支持度最高的组合。结论:通过数据挖掘中药面膜治疗寻常痤疮的用药规律,为临床痤疮的治疗提供更广阔的选择空间,也为新药研发提供依据。Objective: To explore the medication rules of TCM medicine facial mask on acne vulgaris. Methods: In CNKI, Wanfang database, VIP database and SinoMed database, the literature of treating acne vulgaris with TCM facial mask from January 1, 2012 to January 1, 2021 was screened, and the relevant TCM facial mask prescriptions in the included literature were collected. A database was established, and the frequency analysis, property and flavor analysis, cluster analysis and high-frequency medicines association rule analysis were carried out for the prescriptions by Microsoft Excel, IBM SPSS Statistics 26.0 and IBM SPSS Modeler 14.2 software. Results: The clinical studies on treating acne vulgaris with TCM facial mask were retrieved and arranged. 572 studies were retrieved, and 159 studies that met the standard were included, with a total of 159 prescriptions and 177 TCM medicines. Among them, there were 22 high frequency medicines(not less than 15 times) in total, of which Baizhi(Angelica dahuricae) was the most common. The medicinal properties were mainly cold and slightly cold, the medicinal flavors were mostly bitter and slightly bitter, and the meridian tropisms were mainly liver meridian. According to clustering analysis of high-frequency medicines, the prescriptions can be divided into 4 categories, respectively,namely the clearing heat class [including Pugongying(Dandelion), Zihua Diding(Viola philippica), Yejuhua(Wild chrysanthemum flower), Danshen(Salvia miltiorrhiza), Lianqiao(Forsythia), Jinyinhua(Honeysuckle), Xiakucao(Prunella vulgaris L), Huangqin(Radix scutellariae), Huanglian(Rhizoma coptidis), Huangbo(Cortex phellodendri), and Baihuashe Shecao(Spreading hedyotis herb)], the relieving swelling and dispelling masses class [including Baifuling(white poria cocos), Bailian(ampelopsis japonica), Baizhi, and Baiji(Bletilla striata)], the detoxification and anti-sore class [including Bingpian(Borneol), Liuhuang(Sulfur), Dahuang(Rhubarb), Tianhuafen(Radix trichosanthis), Kushen(Sophora flavescens)], and the pro

关 键 词：中药面膜 寻常痤疮 用药规律 数据挖掘 

分 类 号：R758.733[医药卫生—皮肤病学与性病学]