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围绝经期综合征中医证候诊断症状加权积分法研究
引用本文:万霞,陈家旭,胡立胜,李柳骥. 围绝经期综合征中医证候诊断症状加权积分法研究[J]. 北京中医药大学学报, 2006, 29(9): 603-606
作者姓名:万霞  陈家旭  胡立胜  李柳骥
作者单位:北京中医药大学,北京,100029;北京中医药大学,北京,100029;北京中医药大学,北京,100029;北京中医药大学,北京,100029
基金项目:教育部全国优秀博士学位论文作者专项基金 , 国家教育部"高等学校优秀青年教师教学科研奖励计划"项目 , 教育部霍英东教育基金
摘    要:目的运用临床流行病学的方法,分析临床围绝经期综合征的中医证候分布规律,探讨中医辨证的方法,为临床治疗提供理论依据。方法运用“中医症状加权积分法”对每一患者进行辨证。结果340例围绝经期综合征患者运用“中医症状加权积分法”辨证为单一证型(肾阴虚、肾阳虚、肾阴阳两虚、心肾不交、肝郁及心脾两虚)者156例,其他证型者184例;其中,辨证为肾阴虚证49例、肾阳虚证20例、肾阴阳两虚证105例、心肾不交证49例、肝郁证25例、心脾两虚证47例(包括单一证、复合证)。结论该研究将临床症状体征轻重程度的量化分级、权重、主症与次症结合,计算出各证型的诊断标准临界值,为临床诊断提供了一种可应用的方法。

关 键 词:围绝经期综合征  证候  中医症状加权积分法
修稿时间:2005-07-06

TCM symptom weighted score method for syndrome diagnosis of perimenopausal period syndrome
WAN Xia,CHEN Jia-xu,HU Li-sheng,LI Liu-ji. TCM symptom weighted score method for syndrome diagnosis of perimenopausal period syndrome[J]. Journal of Beijing University of Traditional Chinese Medicine, 2006, 29(9): 603-606
Authors:WAN Xia  CHEN Jia-xu  HU Li-sheng  LI Liu-ji
Abstract:Objective To analyze syndrome distribution of perimenopausal period syndrome (PPS) and explore syndrome differentiation method by clinical epidemiology method. Methods Every patient was differentially diagnosed by TCM symptom weighted score method. Results Among 340 patients, 156 patients were differentially diagnosed as the single syndrome, including kidney yin deficiency, kidney yang deficiency, deficiency of both kidney yin and yang, disharmony between heart and kidney, stagnation of liver-qi and deficiency of both heart and spleen. One hundred and eighty-four patients were diagnosed one or compound syndromes of those six. The number of patients with above six syndromes was 49, 20, 105, 49, 25 and 47, respectively. Conclusion TCM symptom weighted score method settles the following problems: quantization, classification and the weight of clinical symptoms and sign, the combination of primary and secondary clinical symptoms and signs, and the TCM syndrome diagnosis criteria.
Keywords:perimenopausal period syndrome  syndrome  TCM symptom weighted score method
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