Medication rule of Zhu Guangli after percutaneous coronary intervention for coronary heart disease:A study based on data mining
Objective:To investigate the medication rule of Professor Zhu Guangli after percutaneous coronary intervention(PCI)for coronary heart disease based on data mining.Methods:The cases of coronary heart disease after PCI treated by Professor Zhu were collected from the outpatient service and ward of Department of Cardiology,Hang-zhou Hospital of Traditional Chinese Medicine,from June 1,2022 to September 30,2022.Cloud Platform of Ancient and Modern Medical Records 2.3.7 was used to analyze traditional Chinese medicine(TCM)prescriptions after screening in terms of drug frequency,nature/taste,meridian entry,and function,and association analysis and cluster analysis were performed for high-frequency drugs.Results:After data screening,137 TCM prescriptions were included,involving 245 TCM drugs.There were 22 drugs with a frequency of use of ≥25 times.The drugs mainly had a warm,neutral or slight-ly cold nature and a sweet,pungent or bitter taste,and they mainly entered the lung,spleen,and heart meridians.The drugs had the main function of tonifying deficiency,regulating Qi,activating blood,and resolving stasis.The association analysis obtained 10 commonly used drug combinations and 4 common syndrome types,and with a grouping interval of ≥ 130,the cluster analysis obtained two core prescriptions of Danxiang Zhiju prescription and Shenqi Yushao pre-scription.Conclusion:In the treatment of coronary heart disease after PCI,Professor Zhu focuses on the regulation of Yin and Yang,with deficiency and excess as the key points in syndrome differentiation-based treatment,and Professor Zhu proposes Danxiang Zhiju prescription for the treatment of patients with excess syndrome after PCI and Shenqi Yushao prescription for the treatment of patients with deficiency syndrome after PCI.
coronary heart diseaseafter percutaneous coronary interventionCloud Platform of Ancient and Modern Medical Recordsmedication ruledata miningZhu Guangli
万方数据
维普
