基于数据挖掘分析王靖教授治疗慢性心力衰竭的用药规律

doi:10.20047/j.issn1673-7210.2023.20.04

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Abstract Objective To analyze the medication rules of Professor Wang Jing in the treatment of chronic heart failure (CHF) based on data mining. Methods A total of 124 patients with CHF admitted to Professor Wang Jing’s clinic in Taizhou Hospital of Traditional Chinese Medicine of Jiangsu Province from January 2018 to June 2020 were selected as the research objects. The data in the medical records were sorted out and the symptoms, pulse signs, and traditional Chinese medicine syndrome types of the patients were counted. The methods of frequency distribution, cluster analysis, association rule analysis, and complex network analysis were used to analyze the drugs frequently, drug attribute distribution (four nature, five flavours, channel tropism, and efficacy), core drugs, and their combinations used in medical records. Results The most common symptoms of the 124 patients were oppression in chest, panting, and weakness. The main syndrome type was blood stasis due to qi deficiency combined with yang deficiency, and the main pulse pattern was deep, stringy, thready pulse. A total of 638 prescriptions were included in this study, involving 175 drugs, and the total frequency of drug use was 1 700 times. Among them, tonifying deficiency drugs, promoting blood circulation for removing blood stasis drugs, diuresis and diffusing dampness drugs were common. The four natures were mainly warm, cold, and flat, and the five flavours were mainly sweet and bitter, mostly returning to the spleen, lung, and liver channels. There were 27 drugs with frequency ≥20 times, which could be divided into three categories by cluster analysis. Twenty-three drug association rules were obtained by association analysis. Complex network analysis found that Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma, Rhodiolae Crenulatae Radix Et Rhizoma and so on were the core drugs for the treatment of CHF. Conclusion Professor Wang Jing’s treatment of CHF is based on tonifying deficiency, and drugs mainly include tonifying deficiency, promoting blood circulation for removing blood stasis, and diuresis and diffusing dampness.

Key words： Data mining Wang Jing Chronic heart failure Experience

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	MIAO Wenxiong SHAN Yajuan CHEN Yang WANG Jing

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MIAO Wenxiong SHAN Yajuan CHEN Yang WANG Jing. Analysis of Professor Wang Jing’s medication rules in the treatment of chronic heart failure based on data mining[J]. 中国医药导报, 2023, 20(20): 23-28.

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https://www.yiyaodaobao.com.cn/EN/10.20047/j.issn1673-7210.2023.20.04 OR https://www.yiyaodaobao.com.cn/EN/Y2023/V20/I20/23

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