黄玉华 李园白 杨阳 李萌

摘要：目的 分析蔡连香从“冲任”论治妇科疾病的辨证思路与用药规律，为临床用药提供参考。方法 收集蔡连香2013年12月-2015年1月于中国中医科学院西苑医院门诊从“冲任”论治的妇科疾病医案。采用Excel2007建立数据库，运用中医诊疗大数据智能分析系统对辨证、治则、治法、药物、药物组合等进行频次及关联分析，并将结果与蔡连香学术思想及临床经验相印证。结果 纳入医案共涉及患者103例、277诊次、277首处方、92味药物。不同证型妇科疾病从“冲任”论治具体治法虽不同，但均与调养肝、脾、肾三脏有关；处方包含高频（>50次）药物22味，前3位的藥物为菟丝子178次（64.3%）、当归167次（60.3%）、白芍158次（57.0%）。采用关联分析，分别挖掘出调冲任药物组合9组、强冲任药物组合11组、滋冲任药物组合4组、固冲任药物组合4组。结论 蔡连香认为妇科疾病与冲任二脉密切相关，从“冲任”论治重在调养肝、脾、肾三脏，本研究用药规律数据挖掘结果与其学术思想一致，可为临床提供参考。

关键词：蔡连香；冲任；妇科疾病；用药规律；数据挖掘

DOI：10.3969/j.issn.1005-5304.2017.03.022

中图分类号：R2-05；R271.1 文献标识码：A 文章编号：1005-5304（2017）03-0091-05

Analysis on Medication Law for Differential Diagnostics of Treating Gynecological Diseases from “Chong-Ren” by CAI Lian-xiang HUANG Yu-hua1， LI Yuan-bai2， YANG Yang2， LI Meng2， Instructor：CAI Lian-xiang1 （1. Xiyuan Hospital， CACMS， Beijing 100091， China； 2. Institute of Information on Trational Chinese Medicine， CACMS， Beijing 100700， China）

Abstract： Objective To analyze clinical differential diagnostics and medication law of CAI Lian-xiang of treating gynecological diseases from the "Chong-Ren"； To provide references for clinical medication. Methods Medical cases of gynecological diseases treated by differential diagnostics from “Chong-Ren” from December 2013 to January 2015 in out-patient department of Xiyuan Hospital of CACMS by CAI Lian-xiang were collected. Excel2007 was used to establish the database， and the frequency and correlation analysis were made on the differentiation， treatment principles， treatment methods， medicine and medical combination by using the large data intelligent analysis system of Chinese medicine diagnosis and treatment. The results were confirmed with CAI Lian-xiang's academic thought and clinical experience. Results Totally 103 medical cases， 277 diagnosis times， 277 prescriptions and 92 kinds of Chinese materiamedica were included. Although different types of gynecological diseases from the "Chong-Ren" treatment of specific treatment were different， all were related to liver， spleen and kidney； prescription contained 22 high-frequency medicines （>50 times）， and the first three medicines were Cuscutae Semen 178 times （64.3%）， Angelicae Sinensis Radix 167 times （60.3%）， Paeonize Radix 158 times （57.0%）. The association analysis results showed 9 combination of Tiaochongren medicine combination group， 11 Qiangchongren meidcine combination group， 4 Zichongren medicine combination group， and 4 Guchuanrenmediicne combination group. Conclusion CAI Lian-xiang believes that gynecological diseases are closely related to “Chong-Ren”， and treatment from “Chong-Ren” focuses on the adjustment and nourishment of liver， spleen and kidney. The data mining

通讯作者：蔡连香，E-mail：hyuhua@163.com

results of medication law is accordance with the relevant academic thoughts， which can provide references for clinic.

Key words： CAI Lian-xiang； Chong-Ren； gynecological diseases； medication law； data mining

蔡連香是国家级名老中医、主任医师、研究员、博士生导师、著名妇科专家、全国名老中医药专家学术经验继承指导老师，临证50余年，擅长治疗不孕不育症、月经病、围绝经期综合征及妇科炎症等疾病。临床诊治尤其重视冲任二脉在妇科生理、病理上的重要作用，根据冲任受损的不同特点，调整治法和用药。本研究运用数据挖掘的方法总结蔡师对妇科疾病的临床辨证与用药规律，并将结果与其学术思想及临床经验相印证，为名老中医的学术传承提供新思路、新方法。