Analysis of prescription medication rules of traditional Chinese medicine for bradyarrhythmia treatment based on data mining.
Analysis of prescription medication rules of traditional Chinese medicine for bradyarrhythmia treatment based on data mining.
复制标题
DOI：
10.1097/md.0000000000031436
复制
发表时间：
2022-11-04
期刊：
影响因子：
1.6
通讯作者：
中科院分区：
文献类型：
--
作者：
多项研究显示，中药方剂可对心血管系统提供保护作用，增加心率，缓解缓慢性心律失常患者的症状。在我国，中医药治疗缓慢性心律失常非常普遍，也是一种有效的辅助疗法。为进一步了解中药在缓慢性心律失常中的应用，在前人临床研究的基础上，采用数据挖掘方法对治疗缓慢性心律失常的中药方剂的用药规律进行分析。我们在PubMed和中国数据库中国国家知识基础设施数据库中检索了报道中医药治疗缓慢性心律失常临床疗效的研究，并通过偏倚风险工具ROB 2估计了发表偏倚。分别采用Microsoft Excel、SPSS Modeler、SPSS Statistics和Rstidio软件进行描述性分析、层次聚类分析和基于Apriori算法的关联规则分析。共纳入48篇文献，发现中药之间存在关联规则、共现和聚类现象。在99种中药中，有22种是高频中药。系统聚类分析得到4个新处方。基于关联规则分析，共发现81条关联规则，并根据前15条关联规则的分组矩阵（基于置信度）直观地得到一个核心方剂，其中桂枝、炙甘草、五味子、党参、当归、黄芪、麦冬、党参、柔桂的相关性最强，处于核心地位。本研究应用数据挖掘策略，对治疗缓慢性心律失常的中医方剂进行探索，发现高频用药和核心方剂，核心方剂符合中医治疗缓慢性心律失常的治疗思路，能够从不同方面干预疾病，调整患者的气血阴阳，从而达到治疗的目的。
Multiple studies have revealed that Traditional Chinese Medicine (TCM) prescriptions can provide protective effect on the cardiovascular system, increase the heart rate and relieve the symptoms of patients with bradyarrhythmia. In China, the TCM treatment of bradyarrhythmia is very common, which is also an effective complementary therapy. In order to further understand the application of Chinese medicines in bradyarrhythmia, we analyzed the medication rules of TCM prescriptions for bradyarrhythmia by data mining methods based on previous clinical studies. We searched studies reporting the clinical effect of TCM on bradyarrhythmia in the PubMed and Chinese databases China National Knowledge Infrastructure database, and estimated publication bias by risk of bias tools ROB 2. Descriptive analysis, hierarchical clustering analysis and association rule analysis based on Apriori algorithm were carried out by Microsoft Excel, SPSS Modeler, SPSS Statistics and Rstidio, respectively. Association rules, co-occurrence and clustering among Chinese medicines were found. A total of 48 studies were included in our study. Among the total 99 kinds of Chinese medicines, 22 high-frequency herbs were included. Four new prescriptions were obtained by hierarchical cluster analysis. 81 association rules were found based on association rule analysis, and a core prescription was intuitively based on the grouping matrix of the top 15 association rules (based on confidence level), of which Guizhi, Zhigancao, Wuweizi, Chuanxiong, Danshen, Danggui, Huangqi, Maidong, Dangshen, Rougui were the most strongly correlated herbs and in the core position. In this study, data mining strategy was applied to explore the TCM prescription for the treatment of bradyarrhythmia, and high-frequency herbs and core prescription were found. The core prescription was in line with the treatment ideas of TCM for bradyarrhythmia, which could intervene the disease from different aspects and adjust the patient’s Qi, blood, Yin and Yang, so as to achieve the purpose of treatment.