Analysis of medication rule of Puji Prescription in treating knee joint pain based on data mining
MA Teng1 QU Wenjing1 CHEN Deqiang1 BI Rongxiu1 XIE Wenpeng2
1.The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Shandong Province, Jinan 250355, China;
2.Department of Orthopedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Shandong Province, Jinan 250355, China
Abstract：Objective To collect and analyze the clinical medication rule of Puji Prescription in the treatment of knee joint pain, so as to provide reference for the research and development of new traditional Chinese medicine prescription. Methods The prescription of Puji Prescription for the treatment of knee joint pain was selected, and SPSS 21.0 and IBM SPSS Modeler 18.0 were used for statistical and cluster analysis of drug frequency and drug properties (drug property, drug taste, and meridian transformation). Results A total of 136 prescriptions were included after screening, including 210 kinds of traditional Chinese medicines. The high frequency drugs were angelica sinensis, aconite, achyranthes bidentata, etc. The associated drug pairs were aconitate-achyrannosa radix and angelica Radix achyrannosa radix. The sexual flavor was mainly warm and xin, and the meridian was mainly returned to the liver, kidney, and spleen meridian. The efficacy was mainly to promote blood circulation, remove blood stasis and remove wind and dampness. Conclusion This study shows the medication rule of Puji Prescription for the treatment of knee joint pain, analyzes the pathogenesis of the treatment of knee joint pain, provides a reference for the clinical practice of traditional Chinese medicine for the treatment of knee joint pain, and lays a foundation for the clinical research and development of new prescriptions.
马腾1 曲文靖1 陈德强1 毕荣修1 谢文鹏2. 基于数据挖掘的《普济方》治疗膝骨关节痛用药规律分析[J]. 中国医药导报, 2023, 20(1): 9-12.
MA Teng1 QU Wenjing1 CHEN Deqiang1 BI Rongxiu1 XIE Wenpeng2. Analysis of medication rule of Puji Prescription in treating knee joint pain based on data mining. 中国医药导报, 2023, 20(1): 9-12.
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