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作 者:公保甲 英木草 羊措吉 贡保东知 尼玛次仁 米玛旺堆[4] GONG Baojia;YING Mucao;YANG Cuoji;GONGBAO Dongzhi;NIMA Ciren;MIGMAR Wangdwei(University of Tibetan Medicine,Lhasa 850000,China;College of Tibetan Medicine,Gansu University of Chinese Medicine,Hezuo 747000,China;Community Health Service Center of Maai Town,Luqu County,Luqu 747200,China;School for Ecology and Environment,Tibet University,Lhasa 850000,China)
机构地区:[1]西藏藏医药大学,拉萨850000 [2]甘肃中医药大学藏医学院,甘肃合作747000 [3]碌曲县玛艾镇社区卫生服务中心,甘肃碌曲747200 [4]西藏大学生态环境学院,拉萨850000
出 处:《中华中医药杂志》2024年第10期5432-5436,共5页China Journal of Traditional Chinese Medicine and Pharmacy
基 金:西藏藏医药大学2023年度博士研究生科研创新能力提高项目(No.BSDJS-BS-2023006);甘肃中医药大学2024年甘肃(甘南)藏医药“医-药-护”研究与转化协同创新中心科研项目。
摘 要:目的:对《四部医典》中痰诊法进行定量化研究。方法:以“痰(■)”和“咳(■)”为关键词搜集痰诊法相关内容,采用Excel整理数据、R统计软件中借助vegan包进行冗余分析法。对《四部医典》中有关痰诊法的内容进行研究分析。结果:痰诊对象按疾病性质以赤巴病和恶血病为主;按疾病部位以肺部及全身性为主,通过咳嗽时间点与泡沫可以确定隆病;痰色与混合物可鉴别赤巴病;痰量与稀稠可鉴别培根病。结论:藏医痰诊法对疾病的诊断与鉴别具有重要意义,但尚未形成系统化,具有很大的研究空间。Objective:To quantitatively study the phlegm diagnosis method in Four Medical Canons.Methods:The relevant contents of phlegm diagnosis method was collected by the keywords‘phlegm(■)’and‘cough(■)’,and the redundancy analysis method was conducted by Excel data collation and R statistical software with vegan package(RDA:redundancy analysis).To explore the contents of the phlegm diagnosis method in Four Medical Canons,and to provide a scientific basis for Tibetan medicine for the diagnosis and differentiation of diseases in the future.Results:The object of phlegm diagnosis method is mainly chibiasis and cachemia according to the nature of the disease;the disease site is mainly lung and systemic according to the location of the disease;and the Long disease can be determined by cough time point and foam;Chibiasis could be determined by sputum color and mixture;Bacon disease could be determined by sputum volume and consistency.Conclusion:The method of Tibetan phlegm diagnosis is of great significance for the diagnosis and differentiation of diseases,but the systematic phlegm diagnosis method of Tibetan medicine has great research space.
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