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作 者:黄仲羽 侯政昆[1] 刘凤斌[1] HUANG Zhongyu;HOU Zhengkun;LIU Fengbin(First Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou 510000,Guangdong,China)
机构地区:[1]广州中医药大学第一附属医院
出 处:《中华中医药学刊》2018年第9期2210-2213,共4页Chinese Archives of Traditional Chinese Medicine
基 金:国家自然科学基金面上项目(81373786,81774264,81774450);国家自然科学基金青年科学基金项目(81303148)
摘 要:目的:结合中医证候多维度、定量化分析的需求,利用Logistic回归分析在多因素建模方面存在的优势,建立常见脾胃病中医证候量化辨识模型。方法:本研究采用横断面调查设计,以前期建立的脾胃系量化辨证条目库为基础,对中医"胃痛""胃痞"及"泄泻"病患者的临床表征信息进行采集和分析。在中医理论指导下,结合病因病机分析及证候要素分析方法,运用SPSS 22软件对核心证候模型进行Logistic回归分析,建立核心证候与临床表征的定量关系。结果:临床调查共纳入患者1155例,经模型的拟合分析和因素筛选,最终建立了包括脾虚证、肝郁证及湿热证三大主要证候的量化辨证模型,各模型总体拟合度良好(P〈0.05)。其中脾虚证模型涵盖相关表征21项,肝郁证涵盖表征12项,湿热证涵盖相关表征18项,各变量相关性与中医理论相符,模型具有良好的理论解释意义。结论:本研究建立的Logistic回归模型较好地反映了脾胃系疾病的以脾胃虚弱、气机不利及湿热内蕴为核心病机主要病机特征。有利于构建结构清晰,可解释性强的定量化证候模型。Objective: To simplify clinical practice of syndrome differentiation so as to make standardized approach for quantifying analysis of TCM syndromes,this article used Logistic regression analysis for multidimensional modeling between syndromes and clinical appearances of common digestive diseases. Methods: Clinical appearances and syndrome diagnosis were collected in a cross-section study using self-administrated scale for digestive diseases. Typical syndromes were picked and standardized according to theoretical pathogenesis of TCM. Logistic regression analysis was performed with the collected data in SPSS 22. Result: A total of 1155 patients were enrolled in this study. According to the distribution of clinical data,three typical syndromes including spleen-deficiency syndrome,liver-stagnation syndrome and damp-heat syndrome were analyzed. Result of Logistic analysis showed significant correlation between syndromes and their related clinical appearances. The models were also fitted with adequate theoretical explanation. Conclusion: Logistic regression analysis could assist discovering and quantifying correlation between clinical appearances and TCM syndromes.
关 键 词:病机 辨证 LOGISTIC回归分析
分 类 号:R241.9[医药卫生—中医诊断学]
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