中醫藥研究論叢

264.1 中醫臨床治療上消化道疾病的用藥規律分析——以《丹溪心法》為例

 TJ TCM.26(4) : 1-15, 2023

DOI : 10.6516/TJTCM.202309_26(4).0001
 
中醫臨床治療上消化道疾病的
用藥規律分析——以《丹溪心法》為例
Analysis of the Regularity of Traditional Chinese medicines Used in the Clinical Treatment of Upper Gastrointestinal Diseases –
Taking Danxi’s Mastery of Medicine as an Example
林致廷 1,3 林立偉 1 吳龍源 1,2,*
 1 義守大學學士後中醫系,高雄,台灣
2 吳龍源中醫診所,台北,台灣
3 義大癌治療醫院中醫科,高雄,台灣
【摘要】
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。
【關鍵詞】丹溪心法、上消化道疾病、用藥規律、關聯分析組合、複雜網絡分析
Chih-Ting Lin1,3 Li-Wei Lin1 Lung-Yuan Wu11,2,*
1 The School of Chinese Medicine for Post-Baccalaureate of I-Shou University, Kaohsiung, Taiwan
2 Wu, Lang-Yuan Tradition Chinese Medicine Clinic. Taipei, Taiwan
3 Department of Chinese Medicine, E-Da Cancer Hospital, Kaohsiung City , Taiwan
【Summary】
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.
Keywords
Danxi’s Mastery of Medicine, Upper Gastrointestinal Diseases, Association Analysis Combinations, Regularity of Traditional Chinese medicines, Complicated Network Analysis.