• Lian-Xin Wang, Yong-Yang Xiang, Yan-Ming Xie, Hao Shen, and Qing-Hua Ai.
• Institute of Basic Research in Clinical Medcine, China Academy of Chinese Medical Sciences, Beijing 100700, China. wanglianxin_tcm@126.com
• Zhongguo Zhong Yao Za Zhi. 2013 Sep 1; 38 (18): 2987-93.

AbstractSpontaneous reporting system (SRS) datais currently an important source of monitoring and finding ADRs signals throughout the world. This method can promptly and effectively discover ADR signals, thus preventing and avoiding ADRs effectively. Parenterally administered Shenmai has the functions of benefiting vital energy, nourishing Yin and generating body fluids, and activating the pulse. Clinically it is used in various diseases including shock, coronary heart disease, viral myocarditis, chronic pulmonary heart disease, and granulocytopenia. The large, national SRS database of ADRs needs effective evaluation methods. We report on the use of Bayesian confidence propagation neural network method (BCPNN) and proportional reporting ration (PRR) with propensity score to control for confounding variables. Early warning signs of an ADR are, a feeling of suffocation (difficulty exhaling), anaphylactoid reactions and flushing. Furthermore, relevant relationships between the different factors is analysed by association rules (AR). It is found that there is a close relationship between past history of ADRs, a family history of ADRs and itching.

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