摘要
目的:探索缓解期NMOSD的中医证候类型分布规律。方法:纳入504例缓解期NMOSD患者,收集中医四诊信息,运用系统聚类分析和主成分分析方法,归纳该病的常见证候类型和主次症。结果:缓解期NMOSD的56个中医四诊信息项目可被聚为4类,结合专业知识和专家意见,可辨证为肝肾阴虚证、脾肾阳虚证、气虚血瘀证和痰湿热证。结论:缓解期NMOSD的中医证候可分为肝肾阴虚证、脾肾阳虚证、气虚血瘀证和痰湿热证四种类型。
Objective:To explore the characteristics of traditional Chinese medicine(TCM)syndromes in patients with neuromyelitis optica spectrum disorders(NMOSD)during remission based on cluster analysis.Methods:In total,504 patients with NMOSD during remission were enrolled and their general demographic and clinical data,and TCM diagnostic information was collected.The data were analyzed by systematic cluster analysis and principal component analysis methods to conclude the common TCM syndromes and primary and secondary symptoms of them.Results:The frequency of 56 TCM diagnostic items were collected from the enrolled NMOSD patients and analyzed using systematic cluster analysis.Combined with professional knowledge and expert opinions,the TCM diagnostic items can be divided into the following 4 categories:liver and kidney yin deficiency syndrome,spleen and kidney yang deficiency syndrome,qi deficiency and blood stasis syndrome,and phlegm dampness heat syndrome.Conclusion:Liver and kidney yin deficiency syndrome,spleen and kidney yang deficiency syndrome,qi deficiency and blood stasis syndrome,and phlegm dampness heat syndrome are the main TCM syndromes of NMOSD during remission.
作者
仝延萍
杨涛
王静文
赵天佑
康越之
李娜
李珊
关瑞熙
樊永平
TONG Yan-ping;YANG Tao;WANG Jing-wen;ZHAO Tian-you;KANG Yue-zhi;Li Na;LI Shan;GUAN Rui-xi;FAN Yong-ping(Department of Traditional Chinese Medicine,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China;Beijing Integrative Medicine on Encephalopathy Institution,Beijing 100070,China;Department of Neurology,Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine,Beijing 100700,China)
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2020年第6期3098-3101,共4页
China Journal of Traditional Chinese Medicine and Pharmacy
关键词
视神经脊髓炎谱系疾病
缓解期
中医证候
聚类分析
主成分分析
Neuromyelitis optica spectrum disorders
Remission
Traditional Chinese medicine syndrome
Cluster analysis
Principal component analysis
