流行性感冒中医证候及其临床特征的文献分析

Literature analysis on TCM syndromes and clinical characters of influenza

目的:探讨文献报道的流行性感冒中医证候及其临床症状特征。方法:检索CBM、CNKI和TCM数据库,将原始资料数据量化后录入计算机,建立流行性感冒证候文献研究数据库。采用SPSS13.0统计软件进行统计描述,Logistic回归分析和聚类分析。结果:共收集到合格文献54篇111条目,出现频率较高的证候为风热证(24.32%)、热毒闭肺证(13.51%)、痰热壅肺证(12.61%)、肺胃热盛证(11.71%)、正虚邪恋证(10.81%)、表寒里热证(7.21%)、风寒证(6.31%)和热陷心包证(3.60%),以及其他类型(9.92%);根据各主要证候的症状特征所构建的Logistic回归方程,对证候的判别准确率达88%以上;结合专业知识对主要症状进行聚类分析各得到10个基本类别。结论:流感中医常见证候为风寒证、风热证、热毒闭肺证、肺胃热盛证、痰热壅肺证、表寒里热证等,可为今后进一步开展证候研究提供参考。

Objective： To investigate the basic pattern types and their main symptom features of influenza. Methods： The literature of influenza were collected from CBM, CNKI and TCM, the criterion and the database of TCM syndrome of influenza were set up, SPSS for windows 13.0 software was adopted for statistical description with Logistic regression and cluster analysis. Results： The sum of the literature meeting the requirement was 54, with 111 items concerning the pattern types. The main pattern types with higher incidence frequencies included syndrome of wind-heat （24.32%）, syndrome of heat-toxicity blocking lung （13.51%）, syndrome of phlegm-heat obstructing lung （12.61%）, syndrome of exuberance of lung-stomach heat （11.71%）, syndrome of lingering pathogen due to deficient vital qi （10.81%）, syndrome of superficies cold and interior heat （7.21%）, syndrome of wind-cold （6.31%）, syndrome of invasion of pericardium by heat （3.60%）, and the others （9.92%）. The accuracy of pattern identification of Logistic regression equations based on the symptom features of various pattern types were more than 88 percent; combined with the professional knowledge, in the cluster analysis for main symptoms, 10 clusters were acquired. Conclusion： The common patterns of influenza were syndrome of wind-cold, syndrome of wind-heat, syndrome of heat-toxic blocking lung, syndrome of exuberance of lung-stomach heat, syndrome of phlegm-heat blocking lung, and so on. And this can provide references for the further study of pattern identification on influenza in the future.