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骨质疏松症中医证型的聚类分析 被引量:55

Cluster Analysis of Syndrome Patterns of Osteoporosis in Traditional Chinese Medicine
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摘要 【目的】采用聚类分析的统计方法,探讨骨质疏松症的中医证型分布规律,为骨质疏松症的预防和治疗提供理论依据。【方法】对诊断为骨质疏松症的246例患者,收集相关中医四诊资料,采用SPSS软件包进行聚类分析,对每种类型进行主成份分析,判定每种类型的代表症状,归纳出证型。【结果】纳入研究的骨质疏松症的四诊条目共47条,出现频率较高的是少气懒言、神疲乏力、腰脊痛、苔白、头晕、舌淡胖等。聚为肝肾阴虚、脾肾阳虚、气血两虚、气滞血瘀4型分散性最好,证型分布清晰,所有分型中以肝肾阴虚和脾肾阳虚为最多,分别占34.7%和30.1%。【结论】骨质疏松症中医证型分为肝肾阴虚、脾肾阳虚、气血两虚、气滞血瘀四型较符合临床实际,骨质疏松症患者多以肾虚表现为主。 [Objective] The characteristics of syndrome patterns of osteoporosis (OP) in traditional Chinese medicine (TCM) were investigated by cluster analysis, thus to supply evidences for the prevention and treatment of OP. [Methods] The data of 246 OP patients collected by four diagnostic methods were classified into items by cluster analysis. Then the principal component analysis was used to summarize the TCM syndrome patters of OP by analyzing the representativeness of each item. [ Results] Forty-seven items were obtained after cluster analysis, and the items of short of breath with reluctance to talk, lassitude and weakness, soreness of the lower back, white coating, vertigo, pale and enlarged tongue had a higher incidences. When the items of OP were classified into four patterns of deficiency of liver and kidney yin, deficiency of spleen and kidney yang, deficiency of Qi and blood, and Qi stagnation and blood stasis, the patterns distribution was clear and had a good representiveness. The patterns of deficiency of liver and kidney yin, and deficiency of spleen and kidney yang had higher incidences of 34.7% and 30.1% respectively. [Conclusion] OP classified into four patterns of deficiency of liver and kidney yin, deficiency of spleen and kidney yang, deficiency of Qi and blood, and Qi stagnation and blood stasis is practical in clinic, and most of OP patients have the manifestations of kidney deficiency.
出处 《广州中医药大学学报》 CAS 2007年第3期180-183,187,共5页 Journal of Guangzhou University of Traditional Chinese Medicine
基金 广东省科技计划项目(编号:2003C34204) 广东省中医药局课题(编号:101080)
关键词 骨质疏松症 证候/论断 统计学分布 OSTEOPOROSIS SYMPTOM COMPLEX/diagnosis STATISTICAL DISTRIBUTIONS
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