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. 2022 Nov 4;101(44):e31436.
doi: 10.1097/MD.0000000000031436.

Analysis of prescription medication rules of traditional Chinese medicine for bradyarrhythmia treatment based on data mining

Xujie Wang  1   2   3 , Xuexue Zhang  1 , Jiaxi Li  4 , Biaoyan Hu  5 , Jiwei Zhang  1 , Wantong Zhang  1   2   3 , Weiliang Weng  1   2   3 , Qiuyan Li  1   3
Affiliations

Analysis of prescription medication rules of traditional Chinese medicine for bradyarrhythmia treatment based on data mining

Xujie Wang et al. Medicine (Baltimore). .

Abstract

Background: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1.
Figure 1.
Flow chart.
Figure 2.
Figure 2.
High-frequency Chinese medicines in prescriptions.
Figure 3.
Figure 3.
High-frequency herbs co-occurrence diagram.
Figure 4.
Figure 4.
Hierarchical cluster analysis of high-frequency herbs.
Figure 5.
Figure 5.
Overall scatter diagram of all rules.
Figure 6.
Figure 6.
Overall scatter diagram of top 15 association rules.
See this image and copyright information in PMC

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