《中医方剂大辞典》治疗消渴病用药经验研究

发布时间：2019-03-28 18:53

【摘要】：目的通过对《中医方剂大辞典》中治疗消渴病的处方进行系统分析,利用“中医传承辅助平台”系统软件,结合中医学知识,挖掘治疗消渴病的用药特色,指导临床实践。方法进行处方筛选,得到治疗消渴病的处方,对其处方中药进行标准化,运用频次统计分析方法统计出治疗消渴的高频药物,在此基础上归纳高频药物的药性;运用规则分析、复杂系统熵聚类等方法,分析药物之间的关系及发现新方,通过网络展示功能,将药物与药物之间的关系清晰展示。结果1通过筛选最后得到治疗消渴病的处方514首。2用药频次分析结果显示,使用频次在20以上的中药有:麦冬(179)、天花粉(150)、人参(147)、黄连(139)、茯苓(119)、炙甘草(115)、知母(94)、生地黄(88)、黄芪(73)、五味子(72)、甘草(67)、葛根(60)、石膏(59)、熟地黄(56)、黄芩(55)、泽泻(54)、牡蛎(51)、地骨皮(41)、肉桂(40)、当归(39)、山茱萸(35)、乌梅(33)、鸡内金(32)、苦参(32)、龙骨(29)、桑螵蛸(29)、土瓜根(28)、白芍(28)、瓜蒌(27)、黄柏(27)、菟丝子(27)、铅丹(26)、山药(26)、肉苁蓉(25)、桑白皮(24)、牡丹皮(23)、白术(23)、生姜(23)、茯神(22)、鹿茸(22)、天冬(22)、升麻(21)、玄参(21)、栀子(20)。3在频次统计分析的基础上对高频药物进行药性分析,结果显示,所用中药性味主要以“甘”、“苦”为主,归经主要归于肾(21)、肺(20)、脾经(20),胃经(18),其次是肝经(16),药性大多以寒凉为主。4利用关联规则的分析方法,对组方规律进行研究,结果得出药物组合共112条,出现频次在前10的药对主要有:麦冬、天花粉(83);麦冬、人参(79);黄连、天花粉(71);麦冬、黄连(63);麦冬、茯苓(59);人参、茯苓(59);炙甘草、麦冬(55);炙甘草、人参(52);麦冬、知母(51);天花粉、人参(51)。5基于复杂系统熵聚类算法,演化得到40个核心药物组合。6利用无监督的熵层次聚类方法,得到用于新方聚类的药物核心组合16个,治疗消渴病的新方8个。结论《中医方剂大辞典》在治疗消渴病的处方用药时,主要以补虚为主,辅以清热,补虚从气血阴阳多方面入手,利用人参、黄芪等补气药补气升津,利用熟地黄、当归等补血药补血养阴,利用麦冬、天冬等补阴药养阴生津,利用鹿茸、肉苁蓉等补阳药补肾益精;注重性味与归经的有机结合治疗消渴病;运用温性药治疗消渴病,以求“引火归原”、“阳中求阴”之效;应用中医传承辅助系统软件对古方、验方进行多层次分析,挖掘潜在的药物之间的关系,为今后中医药的研究提供了一种新的途径。
[Abstract]:Objective to analyze the prescription of the treatment of thirst in the Dictionary of traditional Chinese Medicine (TCM prescription Dictionary), and to use the system software of "traditional Chinese Medicine inheritance and assist platform", combined with the knowledge of traditional Chinese medicine, to explore the characteristics of drugs used in the treatment of thirst, and to guide the clinical practice. Methods the prescription screening was carried out to obtain the prescription for the treatment of thirst, to standardize its prescription, to count the high frequency drugs for the treatment of thirst elimination by statistical analysis of frequency, and to sum up the properties of the high frequency drugs on the basis of this. Rules analysis and entropy clustering of complex systems are used to analyze the relationship between drugs and discover new prescriptions. The relationship between drugs and drugs can be clearly displayed through the network display function. Results (1) 514 prescriptions for the treatment of diabetes were obtained by screening. (2) the results of frequency analysis showed that the Chinese herbs with frequency above 20 were: Ophiopogon japonicus (179), trichosanthin (150), ginseng (147), Coptis chinensis (139). Poria cocos (119), grilled licorice (115), Zhimu (94), Radix Rehmanniae (88), Astragalus membranaceus (73), Schisandra chinensis (72), Glycyrrhiza (67), Pueraria (60), Gypsum (59), Radix Rehmanniae (56), Scutellaria baicalensis (55), alisma orientalis (54), Oyster (51), ground bone skin (41), cinnamon (40), Angelica sinensis (39), Cornus officinalis (35), black plum (33), chicken inner gold (32), Sophora flavescens (32), keel (29), cuttlebone (29), potato root (28), peony (28), Trichosanthes (27), Phellodendron (27), Cuscuta chinensis (27), lead (26), yam (26), Cistanche deserticola (25), mulberry skin (24), peony skin (23), Baizhu (23), ginger (23), Poria god (22), antler (22), Asparagus (22), cimicium (21), Xuanshen (21), Gardenia (20). 3 on the basis of statistical analysis of frequency, the high-frequency drugs were analyzed. The results showed that the main ingredients used were "sweet" and "bitter". It is mainly attributed to kidney (21), lung (20), spleen channel (20), stomach channel (18) and liver channel (16). The results showed that there were 112 drug combinations, and the main drug pairs appeared in the top 10 were: Ophiopogon japonicus, Trichosanthin (83); Ophiopogon japonicus, Ginseng (79), Rhizoma Coptidis (71), Rhizoma Coptidis (63), Ophiopogon japonicus, Poria cocos (59), Ginseng, Poria cocos (59), Fried Glycyrrhiza uralensis, Radix Ophiopogonis (55), Radix Glycyrrhizae, Ginseng (52), Ophiopogon japonicus, Zhimu (51); Trichosanthin and Ginseng (51) .5 evolved 40 core drug combinations based on complex system entropy clustering algorithm. 6 16 core combinations were obtained by using unsupervised entropy hierarchical clustering method. There are 8 new prescriptions for the treatment of diabetes. Conclusion the prescription of TCM prescription Dictionary is mainly based on tonifying deficiency and clearing heat, tonifying deficiency from many aspects of qi, blood, yin and yang, using ginseng, astragalus, etc., to replenish qi and lift the body, and make use of Rehmannia Rehmanniae, which is known as Radix Rehmanniae, and makes use of Radix Rehmanniae. Angelica such as blood tonifying blood nourishing yin, using wheat winter, asparagus and other Yin-tonifying drugs to nourish yin and nourish Jin, using antler deer, Cistanche deserticola and other Yang-tonifying medicine tonifying kidney tonifying essence; Pay attention to the organic combination of sexual taste and menstruation in the treatment of thirst, the use of warm drugs in the treatment of thirst, in order to "lead to fire to the original", "Yang seeking Yin" effect; The application of traditional Chinese medicine inheritance assistant system software to multi-level analysis of ancient prescription and testing prescription to explore the relationship between potential drugs provides a new way for the research of traditional Chinese medicine in the future.
【学位授予单位】：华北理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：R255.4

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