Data Mining‐Based Analysis of Chinese Medicinal Herb Formulae in Chronic Kidney Disease Treatment

作者：Ping Xia, Kun Gao, Jiadong Xie, Wei Sun, Shi Ming, Wei Li, Jing Zhao, Jin Yan, Qiong Liu, Min Zheng, Xin Wang, Qijing Wu, Enchao Zhou, Ji‐Hong Chen, Lingdong Xv, Weiming He · 发表于：Evidence-based Complementary and Alternative Medicine · 年份：2020 · DOI：10.1155/2020/9719872 · 被引用次数：59 · 研究领域：Traditional Chinese Medicine Studies、Traditional Chinese Medicine Analysis、Plant-based Medicinal Research

BACKGROUND: Traditional Chinese medicine (TCM) has long been used to treat chronic kidney disease (CKD) in Asia. Its effectiveness and safety for CKD treatment have been confirmed in documented studies. However, the prescription rule of formulae for Chinese medicinal herbs is complicated and remains uncharacterized. Thus, we used data mining technology to evaluate the treatment principle and coprescription pattern of these formulae in CKD TCM treatment. METHODS: Data on patients with CKD were obtained from the outpatient system of a TCM hospital. We established a Chinese herb knowledge base based on the Chinese Pharmacopoeia and the Chinese Materia Medica. Then, following extraction of prescription information, we deweighted and standardized each prescribed herb according to the knowledge base to establish a database of CKD treatment formulae. We analyzed the frequency with which individual herbs were prescribed, as well as their properties, tastes, meridian tropisms, and categories. Then, we evaluated coprescription patterns and assessed medication rules by performing association rule learning, cluster analysis, and complex network analysis. RESULTS: We retrospectively analyzed 299 prescriptions of 166 patients with CKD receiving TCM treatment. The most frequently prescribed core herbs for CKD treatment were Rhizoma Dioscoreae (Shanyao), Spreading Hedyotis Herb (Baihuasheshecao), Root of Snow of June (Baimagu), Radix Astragali (Huangqi), Poria (Fulin), Rhizoma Atractylodis M...