基于数据挖掘探讨谢立科治疗眼眶炎性假瘤的用药规律  

Exploring the Medication Regularity of XIE Like in Treating Orbital Inflammatory Pseudotumor Based on Data Mining

作　　者：翟孟凡 谢立科[1] 郝晓凤[1] 陈子扬 袁航 鞠品 陈凯铭 ZHAI Mengfan;XIE Like;HAO Xiaofeng;CHEN Ziyang;YUAN Hang;JU Pin;CHEN Kaiming(Eye Hospital,China Academy of Chinese Medical Sciences,Beijing 100040,China)

机构地区：[1]中国中医科学院眼科医院,北京100040

出　　处：《中国中医眼科杂志》2024年第2期118-121,134,共5页China Journal of Chinese Ophthalmology

基　　金：中国中医科学院眼科医院院内课题(202202)。

摘　　要：目的基于数据挖掘探讨谢立科治疗眼眶炎性假瘤(OIPT)的处方用药规律。方法纳入2021年8月—2022年2月中国中医科学院眼科医院谢立科诊治的OIPT患者病历。将处方信息输入Excel软件建立数据库,对中药名称规范化后,采用Excel软件进行药物使用频次分析,采用SPSS 22.0软件进行系统聚类分析,采用SPSS Modeler 14.1软件进行药物关联分析,并绘制神经网络图,使用Apriori关联规则建模挖掘药物的配伍规律。结果(1)一般情况:共纳入处方84个,涉及药物138味,累计用药频率为1,673次。(2)药物属性:四气以寒性药最多,共59味(42.75%);五味以甘味药最多,共43味(31.16%);归经以肝经最多,共40味(28.99%)。(3)高频中药用药频次:使用频次≥25次的中药(高频中药)共26味,排在前5位的依次为防风76次(4.54%)、红花74次(4.42%)、生地黄69次(4.12%)、桃仁68次(4.06%)、重楼66次(3.95%)。(4)高频中药聚类分析:可得到4类组方,功效分别是清热解毒、活血化瘀;清热泻火、软坚散结;疏风清热、消肿散结;健脾燥湿、活血通络。(5)高频中药关联规则分析:相关性最高的前5位依次是重楼-半边莲;防风-半边莲;桃仁-半边莲;生地黄-半边莲;栀子-重楼。结论谢立科治疗OIPT多以寒性药、甘味药居多,且多入肝经,清热解毒、活血化瘀是其主要治疗思路,同时顾护人体津液,提升机体正气,对临床实践具有一定的指导意义。OBJECTIVE To explore the prescription medication patterns of XIE Like in treating orbital inflammatory pseudotumor(OIPT)using data mining techniques.METHODS Patient records diagnosed by XIE Like from August 2021 to February 2022 at the Eye Hospital of China Academy of Chinese Medical Sciences were included.Prescription information was input into an Excel software to establish a database.After standardizing the names of Chinese medicines,Excel software was used for frequency analysis of Chinese medicines usage.System clustering analysis was conducted using SPSS 22.0 software,and Chinese medicines association analysis were performed using SPSS Modeler 14.1 software to create a neural network diagram.Additionally,Apriori association rules were used to model and mine the medication compatibility rules.RESULTS(1)General information:A total of 84 prescriptions comprising 138 different Chinese medicines were collected,with a cumulative frequency of medication use of 1,673 times.(2)Chinese medicines properties:Cold-natured Chinese medicines were the most common,accounting for 59 medicines(42.75%).Sweet-flavored Chinese medicines were the most prevalent among the five tastes,with 43 medicines(31.16%).Regarding meridian tropism,liver meridian was the most frequently used,comprising 40 medicines(28.99%).(3)High frequency Chinese medicines:A total of 26 high-frequency Chinese medicines(≥25 times of usage)were identified.The top five were Radix Saposhnikoviae 76 times(4.54%),Flos Carthami 74 times(4.42%),Radix Rehmanniae 69 times(4.12%),Semen Persicae 68 times(4.06%),and Rhizoma Paridis 66 times(3.95%).(4)Clustering analysis of high-frequency Chinese medicines:Four categories of formulations were identified,classified by their effects as heat-clearing and detoxifying,blood-activating and stasis-resolving,wind-dispelling and heat-clearing swell-reducing and stagnation-dispersing,spleen-tonifying and dampness-drying.(5)Association rule analysis of high-frequency Chinese medicines:The top five associations were Rhizoma Paridis

关 键 词：数据挖掘 眼眶炎性假瘤 用药规律 

分 类 号：R276.7[医药卫生—中医五官科学]