基于数据挖掘分析李旭成治疗肺结节用药规律

Based on Data Mining Analysis of Li Xucheng’s Drug Use in the Treatment of Pulmonary Nodules

摘要: 目的：运用数据挖掘技术研究湖北省知名中医李旭成治疗肺结节的用药经验。方法：收集2021年8月30日~2022年8月30日在武汉市中医医院李旭成门诊诊治的肺结节患者病案资料，建立数据库，应用频数分析，关联规则分析、聚类分析进行数据挖掘。结果：共收集病例134诊次，累计用药频次2142次。获得高频药物25味，高频药物的药性以温、平为主，药味以辛、苦、甘为主。关联规则分析显示得出28个常用药对，其中以黄芪和半夏的支持度和关联性最大。高频药物聚类分析得出3组核心药物。结论：李旭成教授认为，肺结节疾病属于本虚标实，强调气虚、气郁、痰瘀互结是本病发生发展的关键，治疗重在补气、行气、化瘀、散结，且应重视补益药的应用，使攻邪而不伤正气。

Abstract: Objective: To study the drug experience of Li Xucheng, a well-known TCM in Hubei Province, in treating pulmonary nodules by using data mining technology. Methods: Medical record data of patients with pulmonary nodules treated in Li Xucheng Outpatient Department of Wuhan Hospital of Traditional Chinese Medicine from August 30, 2021 to August 30, 2022 were collected, database was established, frequency analysis, association rule analysis and cluster analysis were used for data mining. Results: A total of 134 cases were collected, and the cumulative frequency of medication was 2142 times. 25 high frequency drugs were obtained. The drug properties of high frequency drugs were mainly warm and flat, and the drug tastes were mainly sweet, bitter and sweet. Association rule analysis showed 28 common drug pairs, among which Astragalus membranaceus and pinellia had the highest degree of support and correlation. Three core drugs were obtained by high-frequency drug cluster analysis. Conclusion: Professor Li Xucheng believed that pulmonary nodule disease belongs to deficiency of the original and solid, emphasizing qi deficiency, qi stagnation, phlegm-stasis interassociation is the key to the occurrence and development of the disease, and the treatment should focus on replenishing qi, promoting qi, removing blood stasis, and dispersing nodules. Besides, attention should be paid to the application of tonic drugs, so as to attack evil instead of damaging healthy qi.