摘要
Abstract
Objective:To discuss the medication rule and characteristics of National Chinese Medicine Grandmaster,Professor Liu Minru in the treatment of infertility.Methods:After collecting the prescriptions used by Prof.Liu Minru from 2007 to 2016 in the ca-ses of infertility in the outpatient department,use SPSS 24 statistical software to do the frequency,class and factor analysis;use IBM SPSS Modeler 18 for analysis of association rules for medications.Results:The data analysis included a total of 158 prescriptions,with an average of 15 medications per prescription.From the analysis of the frequency of drug use,the first 11 Chinese herbal medicines with higher frequency were:Cornus officinalis,White peony root,Chinese yam,Goji berries,Rehmannia(cooked),Cuscuta seed,Achyranthes bidentata,Angelica sinensis,Epimedium,Deer antler glue,and Turtle shell glue.The medicinal properties are most commonly neutral(accounting for 31%).The meridians they belong to are primarily the Liver meridian(accounting for 30%)and the Kidney meridian(accounting for 20%).The most common category is tonifying herbs(54%).Concolusion:Under the academic per-spective of"Brain-Kidney-Tian gui-Chong ren-Uterus Reproductive Axis",she emphasizes that in the clinical treatment of infertility,"Kidney Qi is the root,and nourishing the Yin is fundamental".The distinctive features of infertility treatment are:integra-ting traditional Chinese medicine with Western medicine,thoroughly analyzing the cause;tonifying the Kidney and replenishing Es-sence,maintaining consistency throughout the treatment,often using Zuogui Wan;Essence and Blood share the same origin,with ad-ditional focus on nourishing the Liver and supplementing Blood;combining disease and syndrome,adjusting treatment according to symptoms;aligning treatment with the menstrual cycle,selecting appropriate timing;using mild medications,regulating Qi and Blood;and advocating for simultaneous treatment of both partners.关键词
国医大师/刘敏如/不孕症/数据挖掘/临床经验Key words
National Chinese Medicine Grandmaster/Liu Minru/Infertility/Data mining/Clinical experience分类
医药卫生