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A Quantitative Diagnostic Method for Phlegm and Blood Stasis Syndrome in Coronary Heart Disease Using Tongue, Face, and Pulse Indexes: An Exploratory Pilot Study.


ABSTRACT: Objectives: The aim of this study was to establish a quantitative syndrome differentiation model with logistic regression analysis for phlegm and blood stasis syndrome (PBSS) in coronary heart disease (CHD) to offer methodology guidance for the quantitative syndrome differentiation of Traditional Chinese Medicine (TCM). Design: Tongue, face, and pulse information of each subject was obtained using the TCM-intelligent diagnosis instruments. Logistic regression model was used to construct the syndrome diagnosis model. The area under receiver operating characteristic curve (ROC-AUC) was used to evaluate the diagnostic value of the model. Subjects: Among the 141 subjects, 83 belonged to the PBSS group, and 58 belonged to the non-PBSS group. Results: The independent indexes used to predict PBSS in patients with CHD were length of the crack (LC) (p?=?0.002), number of ecchymosis (NE) (p?

SUBMITTER: Ren Q 

PROVIDER: S-EPMC7410297 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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A Quantitative Diagnostic Method for Phlegm and Blood Stasis Syndrome in Coronary Heart Disease Using Tongue, Face, and Pulse Indexes: An Exploratory Pilot Study.

Ren Qi Q   Zhou Xiao-Wen XW   He Mei-Ying MY   Fang Ge G   Wang Bin B   Chen Xin-Lin XL   Li Xian-Tao XT  

Journal of alternative and complementary medicine (New York, N.Y.) 20200702 8


<b><i>Objectives:</i></b> The aim of this study was to establish a quantitative syndrome differentiation model with logistic regression analysis for phlegm and blood stasis syndrome (PBSS) in coronary heart disease (CHD) to offer methodology guidance for the quantitative syndrome differentiation of Traditional Chinese Medicine (TCM). <b><i>Design:</i></b> Tongue, face, and pulse information of each subject was obtained using the TCM-intelligent diagnosis instruments. Logistic regression model wa  ...[more]

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