摘要
目的通过数据挖掘江苏省名中医王育良教授治疗干眼的用药规律,将名老中医临证经验数据化以便更好地传承其学术思想。方法选取2017年—2019年王育良教授眼科门诊治疗干眼的病历资料共计745份。将患者姓名、年龄、性别及中西医诊断、处方用药信息输入Excel建立数据库,统一中药名称后,对药物的属性、用药频次和功效进行分析,采用SPSS Statistics25.0软件进行聚类分析,并使用IBM SPSS Modeler 18.0对数据进行关联规则分析,设置合适参数获得药对和药物网络关系。结果(1)一般情况:共得到中药方530个,涉及中药105味,使用频次>80次的中药(高频中药)有25味药。四气以寒性药(42.45%)最多,五味中以甘味药(34.78%)最多,归经以肝经(20.95%)最多。(2)高频中药用药频次:使用频次排在前5位的分别是鬼针草(98.68%)、枸杞子(97.74%)、茯苓(95.66%)、白芍(89.06%)、甘草(83.40%)。(3)高频中药功效分类:以补虚药(40.00%)最多,其次为解表药(16.00%)、清热药(12.00%)、利水渗湿药(12.00%)、安神药(8.00%)。(4)高频中药聚类分析:可得到4类组方,功效分别是养肝平肝、健脾利湿、滋补肝肾、养阴润肺。(5)高频中药关联分析:可得到5类药对,分别是滋阴润目类、清热生津类、疏肝平肝类、退翳明目类和健脾利湿类。结论王育良教授治疗干眼总体以养阴润肺、滋养肝肾药物为主,另外根据具体情况也常结合清热生津、健脾利湿、疏肝解郁、养心安神、退翳明目等方药,注重调节脏腑功能,处方用药灵活多变。
OBJECTIVE To study the medication rule of dry eye treatment by Professor Wang Yuliang,a famous Traditional Chinese Medicine(TCM)Physician in Jiangsu Province,and to better inherit his academic thoughts by his digitalized clinical experience.METHODS A total of 745 medical records from the ophthalmology clinic of Professor Wang from 2017 to 2019 involving the treatment of dry eye were selected.The patient’s name,age,gender,Chinese and Western medicine diagnosis,and prescription of herbs information were imputed into Excel to establish a data database.After unifying the names of herbal medicine,the properties,frequency and efficacy of the herbs were analyzed.The SPSS Statistics 25.0 software was used for cluster analysis.The IBM SPSS Modeler 18.0 was used to perform association rule analysis on the data stream and set appropriate parameters to obtain drug pairs and drug network relationships.RESULTS(1)Drug properties:A total of 530 Chinese medicine prescriptions were obtained,involving 105 kinds of Chinese medicines.Twenty-five Chinese medicines were used more than eighty times(high-frequency).The drug properties were mainly cold(42.45%),the flavors were mainly sweet(34.78%),pertained meridians were mostly liver(20.95%).(2)Frequency statistics:The top five Chinese medicines were Bidens pilosa(98.68%),Chinese wolfberry(97.74%),Poria cocos(95.66%),white peony root(89.06%)and licorice(83.40%).(3)Effects classification of high-frequency Chinese medicines:The tonic medicine was the most frequently used(40.00%),followed by exterior-releasing medicine(16%),heat-clearing medicine(12.00%),dampness-eliminating medicine(12.00%)and tranquilizing medicine(8%).(4)Cluster analysis of high-frequency Chinese medicines:Four types of combinations were obtained,with the effects of nourishing the liver and calming the liver,strengthening the spleen and removing dampness,nourishing the liver and kidney and nourishing the Yin and moistening the lung.(5)Correlation analysis of high-frequency Chinese medicines:Five types of medicine pairs
作者
左静
王育良
高卫萍
ZUO Jing;WANG Yuliang;GAO Weiping(Nantong Aier Eye Hospital,Nantong 226000,China)
出处
《中国中医眼科杂志》
2022年第3期197-201,共5页
China Journal of Chinese Ophthalmology
基金
江苏省中医药局科研专项课题(ZX2016C1)。
关键词
数据挖掘
干眼
用药规律
data mining
dry eye
medication rules
