目的:整理、分析《丹溪心法》治療上消化道疾病之方藥,以闡釋其臨床辨證思維、用藥配方特點以及藥物關聯組合,作為臨床中醫師治療上消化道疾病參考。方法與材料:比較並蒐集《丹溪心法》中與上消化道疾病有關之中醫病症名章節及其相對應的中醫內科方藥,用Microsoft 365 Excel統計相關中藥資訊的頻次。利用IBM SPSS Statistics 18及Cytoscape 3.9.0進行藥物複雜網路分析,並歸納出核心高頻用藥模組。針對高頻核心藥物進行Apriori演算法以及皮爾森相關係數階層式集聚分析法的關聯規則分析,找出書中關聯規則中藥組合與其對應方劑。結果:《丹溪心法》治療上消化道系統疾病用方的高頻核心用藥包含炙甘草、陳皮、半夏、白朮、人參、茯苓、砂仁、蒼朮、香附、黃連;功效分類以補氣、理氣、溫裡、化濕藥為多;藥性為溫、寒、平性;藥味則以辛、甘、苦平均;歸經則以脾胃經為宗。由Apriori演算法獲得的關聯分析組合可歸類為四君子湯、二陳湯之加減,而皮爾森相關係數階層式集聚分析法則獲得八種藥物關聯規則組合。結論:歸納發現朱丹溪之脾胃病辨證思維,注重脾虛、痰濕及氣鬱等病因病機,治法以溫補脾胃為主,調暢氣機及祛濕化痰為輔,符合研究之複雜藥物網絡、核心用藥模組及藥物關聯規則組合分析的結果。
Objective: The intention of this study was to organize the prescriptions and TCMs, used in Danxi's Mastery of Medicine (DMM), to treat upper gastrointestinal diseases (UGID). Also, we expounded the cogitation of clinical syndrome differentiation, the distinguishing feature of prescriptions, and correlation analysis of TCMs. To provide clinical guidelines Chinese medical physicians can consult to treat UGIDs. Method: In this study, we collected and sorted the chapters of chinese medicine disease names related to UGIDs in DDM, and their corresponding Chinese internal medicine prescriptions. We also exerted Microsoft 365 Excel to statisticize the frequency of TCM information. IBM SPSS Statistics 18 and Cytoscape 3.9.0 were utilized for complex network analysis of TCMs to find high-frequency core medication module. For the high-frequency core TCMs, Apriori algorithm and Pearson correlation coefficient hierarchical agglomeration analysis methods were used to analyze the association rules to find out the combination of TCM association rules and their corresponding prescriptions. Result: The high-frequency core drugs used in the treatment of UGIDs in DDM included Zhigancao, Tangerine peel, Pinellia, Atractylodes, Ginseng, Poria, Amomum, Atractylodes, Cyperus officinalis, Rhizoma Coptidis. High-frequency efficacy classifications included Qi-invigorating, Qi-regulating, internal-warning, dampness-removing. Commonly used medicinal properties were warm, cold, and mild. Frequently used medicinal flavors were evenly distributed with acrid, sweet and bitter. Main meridians were spleen and stomach meridians. The association analysis combinations obtained by the Apriori algorithm can be classified as the addition and subtraction of Sijunzi decoction and Erchen decoction. While, eight drug association rules were obtained by the Pearson-correlation-coefficient hierarchical agglomeration analysis method. Conclusion: Zhu Danxi's syndrome-differentiating thoughts of gastrointestinal diseases paid attention to the etiology and pathogenesis of spleen deficiency, phlegm, dampness, and Qi stagnation. The treatment method mainly focuses on warming and supplementing the spleen and stomach, regulating Qi, and removing dampness and phlegm. In conclusion, these concepts were consistent with the results of our study.