| 摘要: |
| 目的：通过数据挖掘分析安徽省名老中医刘怀珍教授治疗围绝经期综合征的用药规律。方法：收集2022年1月1日至2024年12月31日期间刘教授门诊治疗围绝经期综合征的处方188首，运用统计学软件分别对其进行药物频次、性味归经、关联规则、复杂网络及聚类分析。结果：共纳入处方188首，涉及中药184味，其中使用频次≥40次的高频中药有26味，以山药、地黄、炙甘草等最为常见。药性以寒、平、温为主；药味以甘、苦、辛为主；归经以心、肝、肾经为主。关联规则分析得到核心药对26对，聚类分析得到3个核心处方。结论：刘教授治疗围绝经期综合征以补肾疏肝、滋阴助阳为原则，兼顾健脾益气、养心安神，用药配对体现其“治病求本、标本兼治”的学术思想。 |
| 关键词: 围绝经期综合征 数据挖掘 关联规则 聚类分析 刘怀珍 |
| DOI： |
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| Medication rule of Liu Huaizhen in treatment of perimenopausal syndrome: A study based on data mining |
| YAO Yongchuan,LIU Huaizhen |
| (The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei 230031, Anhui, China) |
| Abstract: |
| Objective: To investigate the medication rule of Professor Liu Huaizhen, a famous old traditional Chinese medicine （TCM） doctor in Anhui province of China, in the treatment of perimenopausal syndrome based on data mining. Methods: A total of 188 prescriptions were collected from the patients with perimenopausal syndrome who were treated at the outpatient service of Professor Liu from January 1, 2022 to December 31, 2024, and statistical software was used to perform the analysis of drug frequency, nature, taste, and meridian entry, as well as the association rule analysis, the complex network analysis, and the cluster analysis. Results: A total of 188 prescriptions were included, involving 184 TCM drugs, among which there were 26 drugs with a frequency of use of ≥40, and Dioscorea opposita, Radix Rehmanniae, and Radix Glycyrrhizae Preparata were the most commonly used drugs. The drugs mainly had a cold, neutral or warm nature and a sweet, bitter or pungent taste, and they mainly entered the heart, liver, and kidney meridians. The association rule analysis obtained 26 core drug combinations, and the cluster analysis obtained 3 core prescriptions. Conclusion: Professor Liu applies the principles of tonifying the kidney, soothing the liver, nourishing Yin, and supporting Yang in the treatment of perimenopausal syndrome, while giving considerations to strengthening the spleen, benefiting Qi, nourishing the heart, and tranquilizing mind. The drug combinations reflect his academic thinking of “treatment aiming at the root cause and treating both manifestation and root cause of disease”. |
| Key words: perimenopausal syndrome data mining association rule cluster analysis |
