【摘要】 目的:探索酒精性肝病的中医证候分布特点,为酒精性肝病预防及治疗提供依据。方法:运用数据挖掘技术,以因子分析优化方案和回归分析方法,对200例酒精性肝病患者的证候分布进行统计分析。结果:通过本研究获得14种常见的酒精性肝病中医证候类型,分别为肝胃不和证(6.5%)、湿热内蕴证(10.0%)、肝胃积热证(7.5%)、脾虚湿困证(6.5%)、肝胃气滞证(3.5%)、肝胃气滞阴虚证(9.5%)、脾虚气滞证(8.0%)、肝胆湿热证(9.0%)、痰湿瘀滞证(6.0%)、湿困脾胃证(5.0%)、脾虚痰湿证(10.0%)、气虚气滞证(4.5%)、肝胃阴虚证(5.0%)、气滞痰凝证(9.0%)等。回归分析显示轻症酒精性肝病与气虚气滞证显著相关(P=0.007 <0.01);酒精性肝炎与湿热内蕴证(P=0.000<0.01)、肝胃气滞证(P=0.016<0.05)、痰湿瘀滞证(P=0.018<0.05)、脾虚气滞证(P=0.026 <0.05)显著相关;酒精性肝硬化与肝胆湿热证显著相关(P=0.01);酒精性脂肪肝优势相关证型不明显(P>0.05)。结论:以因子分析方法等数据挖掘技术所获得的证候分布,能够客观阐释中医证候分布特点,比较适用于中医证候的研究。更多还原

【Abstract】 Objective:To explore the characteristics of TCM syndromes distribution of alcoholic liver disease and provide basis for prevention and treatment of alcoholic liver disease. Methods:data mining technique was used to analyze the syndrome distribution of 200 patients with alcoholic liver disease by factor analysis and regression analysis.Results:through this study,14 common TCM syndromes of alcoholic liver disease were obtained,which were liver and stomach disharmony syndrome(6.5%),dampness and heat accumulation syndrome(10.0%),liver and stomach accumulation heat syndrome(7.5%). Spleen deficiency syndrome(6.5%),liver and stomach Qi stagnation syndrome(3.5%),liver stomach qi stagnation syndrome(9.5%),spleen syndrome(9.5%) Deficiency of qi(8.0%),liver and gallbladder damp-heat(9.0%),phlegm and dampness stagnation(6.0%),dampness to spleen and stomach(5.0%),spleen deficiency and phlegm dampness(10.0%),qi deficiency and qi stagnation(4.5%). Liver and stomach yin deficiency syndrome(5.0%),Qi stagnation phlegm coagulation syndrome(9.0%) and so on. Regression analysis showed that alcoholic liver disease was significantly correlated with qi deficiency and qi stagnation syndrome(P=0.007),alcoholic hepatitis and damp-heat accumulation syndrome(P=0.000),liver and stomach Qi stagnation syndrome(P=0.016),phlegm dampness stagnation syndrome(P=0.016).(P=0.018),spleen deficiency and qi stagnation(P=0.026),alcoholic cirrhosis and liver and gallbladder dampness and heat(P=0.018),and alcoholic fatty liver syndrome were not significant(P>0.05).Conclusion:The distribution of syndromes obtained by data mining techniques such as factor analysis can objectively explain the distribution characteristics of TCM syndromes and is more suitable for the study of TCM syndromes.更多还原