摘要
目的用聚类分析方法探求初诊肺癌的中医证候规律。方法采用病案回顾法,记录212例肺癌患者的基本情况和相关中医证候,建立信息数据库,并对其中医症状进行系统聚类分析。结果纳入统计分析的肺癌中医症状为83条,频数高的前10位分别是咳嗽、痰少、痰质黏稠、痰白、纳呆、胸闷、苔白腻、痰中带血、面色白、气促;筛选出频率≥10%及部分频率<10%但对诊断有意义的44个症状作为基础变量进行聚类分析,得出痰热阻肺证、痰湿蕴肺证、气滞湿阻证、肺脾气虚证、瘀阻肺络证5类中医证候。结论聚类分析能从客观角度进行肺癌中医证候分类,并初步确立各证候的诊断要点,为肺癌的辨证论治提供理论基础。
Objective To investigate the distribution characteristics of traditional Chinese medicine(TCM syndromes in patients with newly diagnosed lung cancer using a cluster analysis.Methods A retrospective analysis was performed for the general information and TCM syndromes of 212 patients with lung cancer.An information database was established and a hierarchical cluster analysis was performed for TCM symptoms.Results A total of 83 TCM symptoms of lung cancer were included in the statistical analysis,among which the 10 most common symptoms were cough,little phlegm,thick phlegm,white phlegm,poor appetite,chest distress,white and greasy fur,bloody sputum,pale complexion,and shortness of breath.The cluster analysis was performed for 44 symptoms,which had a frequency of≥10% or had a frequency of<10% but with diagnostic significance,as the basic variables,and five TCM syndromes were obtained,i.e.,phlegm-heat obstructing the lung,phlegm-dampness in the lung,Qi stagnation and damp obstruction,Qi deficiency of lung and spleen,and blood stasis obstructing lung collaterals.Conclusion Cluster analysis can objectively classify the TCM syndromes of lung cancer and preliminarily establish the essentials of diagnosis of each syndrome,in order to provide a theoretical basis for syndrome differentiation-based treatment of lung cancer.
引文
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