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300例缺血性脑血管病患者中医证候的多元统计研究
引用本文:霍清萍,孔林,李金菩,王宇新,梁芳,王兵.300例缺血性脑血管病患者中医证候的多元统计研究[J].中西医结合心脑血管病杂志,2008,6(12).
作者姓名:霍清萍  孔林  李金菩  王宇新  梁芳  王兵
作者单位:上海交通大学附属第六医院,200233
基金项目:上海交通大学附属第六人民医院集团资助基金  
摘    要:目的研究300例缺血性脑血管病患者的中医证候。方法临床系统采集300例缺血性脑血管病患者中医四诊信息,运用SPSS 11.5软件,进行多元统计主因子提取、系统聚类。结果缺血性脑血管病患者临床中医证候以风阳上扰(型)兼督脉不利、或气郁血瘀;气虚血瘀(型)兼瘀热内盛;肝肾阴亏(型)兼痰湿内滞;痰浊上蒙(型)兼气虚血瘀四大证型为主。结论将多元统计主因子提取、系统聚类方法结合应用,可较好地对缺血性脑血管病患者的中医证候进行归类分析,有益于揭示缺血性脑血管病患者的中医证候特点。

关 键 词:缺血性脑血管病  中医证候  主因子提取  系统聚类

TCM Symptom Differentiation Patterns of 300 Patients with Ischemic Cerebrovascular Disease
Huo Qingping,Kong Lin,Li Jinpu,et al Shanghai NO. People's Hospital,Shanghai Jiaotong University.TCM Symptom Differentiation Patterns of 300 Patients with Ischemic Cerebrovascular Disease[J].Chinese Journal of Integrative Medicine on Cardio-/Cerebrovascular Disease,2008,6(12).
Authors:Huo Qingping  Kong Lin  Li Jinpu  Shanghai NO People's Hospital  Shanghai Jiaotong University
Institution:Shanghai 200233
Abstract:Objective To study the TCM symptom differentiation patterns of patients with ischemic cerebrovascular disease.Methods The symptoms of 300 patients(pts) with ischemic cerebrovascular disease were collected,and the data were analyzed by principal components and Hierarchical cluster statistics(SPSS11.5 software).Results The symptom differentiation patterns of pts with ischemic cerebrovascular disease could be attributed into four groups: The wind and Yang up to trouble(type) accompanied with DU meridian stasis,Qi depressed and blood stasis,Qi deficiency and blood stasis(type) accompanied stagnated heat;liver and kidney Yin deficiency(type) accompanied with phlegm and dampness stasis,phlegm up to trouble(type) accompanied with QI deficiency and blood stasis.Conclusion The principal components and Hierarchical cluster statistics for symptom differentiation patterns were good way to classify the TCM.Symptom differentiation of the ischemic cerebrovascular diseases revealed TCM characteristic of the ischemic cerebrovascular diseases.
Keywords:ischemic cerebrovascular disease  TCM symptom differentiation  hierarchical cluster
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