摘要
[目的]总结吴良村教授辨治肺癌阴虚证的用药规律及疗效评价。[方法]纳入2012年1月1日至2013年1月1日吴良村教授门诊94例肺癌阴虚证患者,188诊次,将患者临床信息转化为方剂基础数据库,对药物累计频数、药物性味采用描述性分析,对频数最高的33种药物进行系统聚类分析,并以两周为1疗程,评价服药1月后的疗效。[结果]94例患者188诊次共用药190种,累计用药频次3632,其中用药频次最多者为麦冬,其后依次为北沙参、三叶青、浙贝、苦杏仁、石斛、茯苓。药性使用频次最多的为"寒",药味使用频次最多的为"甘"。聚类分析将药物分为17类,涉及方剂沙参麦冬汤。临床疗效为控制2例,显效23例,有效59例,总有效率89.63%。[结论]吴良村教授辨治肺癌阴虚证,考虑"虚"、"痰"、"毒"、"瘀"四大病机,治以"补"、"润"、"清"、"消"四大法则,善用沙参麦冬汤,多以"甘"、"苦"、"辛"、"寒"性味为主进行配伍,疗效肯定。
[Objective] To discover herbal medicine application regulation of professor Wu Liangcun in brain neoplasms treatment. [Methods] Collect 188 cases of 94 yin-deficiency lung cancer patients from Chinese medicine clinic system during January 2012 to January 2013 and establish clinical prescription underlying database. Apply descriptive analysis to drug cumulative frequency, drug classification, drug-induced taste and nature and apply cluster analysis to 33 drugs in highest frequency. [Results] The highest frequency of 7 berbal medicines is Liriope, Coastal Glehnia Root, Hemsley Rockvine Root Tuber, Chekiang Fritillary Bulb, Ansu Apricot Seed, Noble Dendrobium Stem Herb. Cluster analysis divides all used herbs into 29 sections,involving prescriptions shashen maidong decoction. The highest frequency of nature and flavour is cold and sweet. In all 94 cases, 2 of them were clinical controled, 23 were obviously effective, 59 cases were in slight remission. The total efficiency was 89.63%. [Conclusion] Professor Wu considers that the four basic pathogenesis are as follows： ‘deficiency＇, ‘phlegm＇, ‘toxin＇, ‘blood stasis＇. Therefore, ‘tonifying＇, ‘moistening＇,‘clearing＇,‘slaking＇are four therapeutic principles in yin-deficiency lung cancer treatment. In terms of herb＇s nature and taste, the four kinds of herbs with sweet in taste, bitter in taste, pungent in taste, cold in nature, are used most.
出处
《浙江中医药大学学报》
CAS
2015年第12期859-863,共5页
Journal of Zhejiang Chinese Medical University
基金
十一五国家科技支撑计划"中医临证经验
学术思想传承研究"项目(2007BAI10B01-036)
全国名老中医药专家传承工作室建设项目(国中医药人教发(2010)59号)
浙江省中医药重点学科(2012-XK-A09)~~
关键词
肺癌
吴良村
阴虚
沙参麦冬汤
聚类分析
名中医经验
lung cancer
Wu Liangcun
yin deficiency
Shashen Maidong Decoction
cluster analysis
experience of famous physician
