[Applying matching matrix, factor analysis and clustering analysis to investigation of characteristics of syndromes of phlegm and blood stasis in patients with coronary heart disease].
OBJECTIVE
To investigate the characteristics of syndromes of phlegm and blood stasis in patients with coronary heart disease by multiple statistical methods of matching matrix, factor analysis and clustering analysis, and to provide some references for classification and normalization of diagnosis of syndromes of phlegm and blood stasis of coronary heart disease.


METHODS
The correlations among 46 kinds of symptoms in syndrome of non-phlegm and non-blood stasis, syndrome of blood stasis, syndrome of phlegm and syndrome of phlegm-blood stasis blocking in 200 patients with coronary heart disease were analyzed by matching matrix, factor analysis and clustering analysis.


RESULTS
The manifestations of tongue and pulse in syndromes of phlegm and blood stasis were significantly different from those in syndrome of non-phlegm and non-blood stasis. The pathogenesis of viscera in syndromes of phlegm and blood stasis lied in the heart and kidney, and the syndrome of deficiency of heart qi was the most common one while the syndrome of deficiency of kidney qi took the secondary place. The syndrome of phlegm was often accompanied by syndrome of deficiency of spleen qi. Only 15 ones of 46 clinical symptoms showed high frequency in concomitant appearance in syndrome of blood stasis, syndrome of phlegm and syndrome of phlegm-blood stasis blocking. Apart from having the common symptoms in syndrome of deficiency in origin, the syndrome of phlegm especially showed white and greasy fur and slippery pulse as well as distention and fullness of chest and abdominal distension; the syndrome of blood stasis showed purplish tongue and ecchymosis on tongue as well as fixed pain; and the syndrome of phlegm-blood stasis blocking showed the main symptoms of both syndrome of phlegm and syndrome of blood stasis.


CONCLUSIONS
The statistical methods of matching matrix, factor analysis and clustering analysis are convenient, and can definitely indicate the clinical characteristics and syndrome differentiation of viscera of different syndromes of phlegm and blood stasis, which are beneficial to further research of diagnosis and differentiation of such syndromes of coronary heart disease.
Li
Lin
L
Department of Biostatistics, Emory University, Atlanta, GA 30322, USA.
Li
Xiao-Dong
XD
Song
Jian-Nan
JN
Fang
Xiang-Zhong
XZ
Miao
Yang
Y
Lin
Qian
Q
D016000:Cluster Analysis; D003327:Coronary Disease; D003937:Diagnosis, Differential; D005163:Factor Analysis, Statistical; D006801:Humans; D008516:Medicine, Chinese Traditional