基于数据挖掘探讨中药治疗NAION的组方规律  

Exploring the prescription regularity of Traditional Chinese Medicine in treatment NAION based on data mining

作　　者：李嘉莹 于蓝 田妮[3] 钟瑞英[3] LI Jiaying;YU Lan;TIAN Ni;ZHONG Ruiying(Guangzhou University of Chinese Medicine,Guangzhou 510405,China)

机构地区：[1]广州中医药大学第一临床医学院,广州510405 [2]青海市市立医院,青海266011 [3]广州中医药大学第一附属医院,广州510405

出　　处：《中国中医眼科杂志》2023年第6期525-529,共5页China Journal of Chinese Ophthalmology

基　　金：广州市科技计划项目(202102010499);广州中医药大学第一附属医院高水平建设项目(211010010709)。

摘　　要：目的基于数据挖掘技术分析中药内服治疗非动脉炎性前部缺血性视神经病变(NAION)的用药规律。方法纳入中国知网、万方、维普、中国生物医学文献数据库从建库至2022年5月31日以中医药治疗NAION的文献。将涉及的中药名称进行规范化、统一化处理后,录入Excel软件建立数据库,利用SPSS Modeler 18.0和SPSS Statistics 22.0软件对处理好的数据进行关联规则、聚类分析。结果(1)一般情况:共纳入文献69篇,包含方剂121个,涉及中药122味。四气以平性最多(28味,22.95%),五味以甘味药最多(49味,40.16%),归经以肝经用药最多(49味,40.16%)。(2)高频中药用药频次:使用频次≥20次的中药有20味,排名前5位的分别为当归(84次,68.85%)、川芎(62次,50.82%)、赤芍(58次,47.54%)、茯苓(57次,46.72%)、红花(49次,40.16%)。(3)中药关联规则分析:关联度较高的3组组合分别为川芎-当归;红花-桃仁、川芎、当归;桃仁-红花、川芎、当归。(4)高频中药聚类分析:共得到4类组方,功效分别为活血化瘀、疏肝解郁;活血通络、健脾补气;益气健脾、补气生血;滋补肝肾、活血化瘀。结论数据挖掘技术能客观地反映中医药治疗NAION的用药规律。NAION的中医药治疗原则强调攻邪不忘扶正,以活血通窍为基本治法,兼顾益气滋阴养血。OBJECTIVE To explore the prescription regularity of Traditional Chinese medicine(TCM)in the treatment of nonarteritic anterior ischemic optic neuropathy(NAION)based on data mining technology.METHODS The published literature on the treatment of NAION with TCM was retrieved from databases of CNKI,Wanfang,VIP and SinoMed from the establishment of the databases to May 31^(st),2022.After standardizing and unifying the names of Chinese drugs involved,the data were entered into Excel software to establish a database.SPSS Modeler 18.0 and SPSS Statistics 22.0 software were used to perform correlation analysis and cluster analysis on the processed data.RESULTS(1)General information:A total of 69 articles were included,including 121 prescriptions and 122 Chinese medicines.The medicine properties were mainly peaceful property(22.95%),the five flavors were mainly sweet(40.16%),and the pertained meridians were mostly liver meridian(40.16%).(2)Frequency of usage of high-frequency Chinese medicines:There are 20 Chinese medicines with a frequency of useage more than 20 times,and the top five are Angelica sinensis radix(84 times,68.85%),Chuanxiong rhizoma(62 times,50.82%),Paeoniae radix rubra(58 times,47.54%),Poria(57 times,46.72%)and Carthami flos(49 times,40.16%).(3)Correlation analysis:The three combinations with high correlation are Chuanxiong rhizome-Angelica sinensis radix;Carthami flos-Persicae semem,Chuanxiong rhizome,Angelica sinensis radix;Persicae semem-Carthami flos,Chuanxiong rhizome,Angelica sinensis radix.(4)Cluster analysis:A total of four types of formulas were obtained,with the functions of promoting blood circulation and resolving blood stasis,and soothing the liver and relieving depression;Promoting blood circulation and dredging collaterals,strengthening the spleen to replenish Qi;Benefiting Qi and strengthening the spleen,supplementing Qi and generating blood;Nourishing the liver and kidney,promoting blood circulation and resolving blood stasis.CONCLUSIONS Data mining technology can objectively reflect the p

关 键 词：非动脉炎性前部缺血性视神经病变 数据挖掘 用药规律 

分 类 号：R276.7[医药卫生—中医五官科学]