[Study on traditional Chinese medicine prescriptions for cardiovascular diseases over the past 20 years and logistic regression analysis].

OBJECTIVE:To analyze the relationship between TCM's characteristics and treatment of cardiovascular diseases on the basis of the modem medical research literatures about treatment of cardiovascular diseases and establish a mathematic model in order to give reference for clinical study and clinical prescription for treatment of cardiovascular diseases with TCMs. METHOD:Articles on treatment of cardiovascular diseases with TCMs published at home in the past 20 years were collected and screened to summarize the number of TCMs with different function, property, flavor, channel tropism and the number of them with the therapeutically effect on cardiovascular diseases. And a mathematic model was established on the multivariate discriminatory analysis. RESULT:Medicines for activating blood circulation and removing blood stasis (21.21%), those restoring deficiency (17.65%), those attributive to heart channel (21.82%) and those attributive to spleen channel (16. 11%) were relatively active in study for treatment of cardiovascular diseases and showed great difference (P < 0.05). According to findings of the logistic regression screen, TCMs attribute to heart, spleen, gallbladder, pericardium channel and those restoring deficiency were important impact factors with therapeutically effect on cardiovascular diseases (regression coefficient > 0 and P < 0.05). The coincidence was 91.6% between mathematical computing and original classification, indicating the coincidence with relevant theories of the traditional Chinese medical science. CONCLUSION:A more objective Logistic regression equation with a higher accuracy rate of retrospective inspection is established to detect the effect of TCMs with different characteristics on cardiovascular diseases. It is suggested that more experiments and clinical comparative studies on treatment of cardiovascular diseases with TMCs shall be included in pharmacopeia.