摘要
【目的】探究恶性肿瘤癌因性疲乏(CRF)患者的中医证候分型规律。【方法】采用横断面调查方法,现场调查200例恶性肿瘤具有癌因性疲乏症状的患者,通过问诊和填写调查问卷的方式采集患者一般资料、疾病、治疗相关资料及中医临床资料,并通过CRF量表(即Piper疲乏量表)量化评估患者疲乏情况。采用聚类分析方法对癌因性疲乏患者中医临床症状进行聚类分型,结合临床实际和专业知识确定中医证型。【结果】(1)CRF量表各维度得分从高到低依次为:情感疲乏>行为疲乏>躯体疲乏>认知疲乏。(2)分层聚类分析结果显示选择6分类时各条目分布较为合理,即CRF患者的临床中医证型可分为肾阳虚、肝气郁结、脾胃阴虚、寒湿困脾、肺气亏虚、脾气亏虚等6个证型。(3)200例恶性肿瘤CRF患者中,脾气亏虚证出现率最高(占35.2%),其他依次为肺气亏虚证(占22.7%)、肝气郁结证(占14.47%)、寒湿困脾证(占11.51%)、肾阳虚证(占8.88%),脾胃阴虚证出现率最低(占7.24%)。【结论】本研究初步得出临床上癌因性疲乏患者的中医证候分型规律,可为临床辨证论治提供一定参考。
Objective To explore the distribution of syndromes types of traditional Chinese medicine （TCM） in cancer patients with cancer-related fatigue （CRF）. Methods A cross-sectional survey was carried out in 200 cancer patients with cancer-related fatigue. Interrogation and questionnaire survey were used for the collection of general demographic information, illness state, therapeutic methods, and clinical information obtained by four diagnostic methods of TCM. Piper CRF scale was used to evaluate fatigue level in patients. By means of cluster analysis the main syndrome types in patients with cancer-related fatigue were classified, and the final TCM syndrome types were confirmed on the basis of the professional knowledge. Results （ 1 ） The scores of emotional fatigue, behavioral fatigue, somatic fatigue, cognitional fatigue of CRF scale were in decreasing sequence. （2）The results of hierachical cluster analysis showed that it was reasonable to classify the CRF patients into 6 syndromes, and they were kidney yang deficiency（8.88%） , liver-qi stagnation（14.47%） , spleen-stomach yin deficiency（7.24%）, cold-damp accumulating spleen（11.51%） , lung-qi insufficiency（22.7%） , and spleen-qi insufficiency （35.2%）. Of the 6 types, spleen-qi insufficiency had the highest percentage, and spleen-stomach yin deficiency had the lowest percentage. Conclusion The distribution of TCM syndrome types in CRF patients has been preliminarily revealed, which will provide evidence for the syndrome differentiation of CRF.
出处
《广州中医药大学学报》
CAS
2016年第4期485-489,共5页
Journal of Guangzhou University of Traditional Chinese Medicine
基金
国家自然科学基金资助项目(编号:81279703
81403340)
关键词
癌因性疲乏
恶性肿瘤
中医证型
聚类分析
cancer-related fatigue
malignant neoplasm
TCM syndromes
cluster analysis
