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Evidence-Based Complementary and Alternative Medicine
Volume 2016, Article ID 7273940, 9 pages
http://dx.doi.org/10.1155/2016/7273940
Research Article

To Set Up a Logistic Regression Prediction Model for Hepatotoxicity of Chinese Herbal Medicines Based on Traditional Chinese Medicine Theory

1Department of Traditional Chinese Medicine, Medical College, Jinan University, Guangzhou 510632, China
2Department of Chinese Herbal Medicines, Pharmacy College, Jinan University, Guangzhou 510632, China
3Biomaterial Laboratory of Guangdong Higher Education and Department of Biomedical Engineering, Jinan University, Guangzhou 510632, China
4Shandong University of Traditional Chinese Medicine, Jinan 250355, China

Received 9 May 2016; Revised 26 July 2016; Accepted 14 August 2016

Academic Editor: Luciana Dini

Copyright © 2016 Hongjie Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Aims. To establish a logistic regression (LR) prediction model for hepatotoxicity of Chinese herbal medicines (HMs) based on traditional Chinese medicine (TCM) theory and to provide a statistical basis for predicting hepatotoxicity of HMs. Methods. The correlations of hepatotoxic and nonhepatotoxic Chinese HMs with four properties, five flavors, and channel tropism were analyzed with chi-square test for two-way unordered categorical data. LR prediction model was established and the accuracy of the prediction by this model was evaluated. Results. The hepatotoxic and nonhepatotoxic Chinese HMs were related with four properties (), and the coefficient was 0.178 (); also they were related with five flavors (), and the coefficient was 0.145 (); they were not related with channel tropism (). There were totally 12 variables from four properties and five flavors for the LR. Four variables, warm and neutral of the four properties and pungent and salty of five flavors, were selected to establish the LR prediction model, with the cutoff value being 0.204. Conclusions. Warm and neutral of the four properties and pungent and salty of five flavors were the variables to affect the hepatotoxicity. Based on such results, the established LR prediction model had some predictive power for hepatotoxicity of Chinese HMs.