摘要
目的:应用变量聚类分析的数理统计方法,对慢性疲劳综合征(chronic fatigue syndrome,CFS)进行中医辨证分型。方法:收集237例CFS患者,记录患者症状、舌象和脉象等临床资料。对临床资料进行变量聚类分析。结果:在调查群体中CFS分为:精髓空虚,阴液亏虚,脾肾阳虚和肝火亢盛4型,解释比例为61.68%。结论:CFS的中医病机包括虚实两方面,其中以虚为主。变量聚类分析能够帮助CFS中医证候的合理分型。
Objective： To analyses the traditional Chinese medicine syndromes of chronic fatigue syndrome （CFS）, by the way of variable cluster analysis. Methods： We researched 237 CFS patients, and recorded their symptoms, tongues and pulses. Then we used cluster analysis way to analyses these patients＇ clinical data. Results： These patients could be divided into 4 types： marrow deficiency syndrome, yin fiuid deficiency syndrome, yang deficiency of spleen and kidney syndrome and overabundant liver-fire syndrome. The variable proportion is 61. 68%. Conclusion： CFS is mainly produced by deficiency and/or excessive in traditional Chinese medicine pathology mechanism. And, the way of variable cluster analysis could help CFS patients＇ TCM syndrome differentiation.
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2006年第10期592-594,共3页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
北京市自然科学基金资助项目(No.7053068)
关键词
慢性疲劳综合征
聚类分析
辨证
chronic fatigue syndrome
cluster analysis
syndrome differentiation
