慢性心力衰竭常见证候、证候要素与症状对应性现代文献研究  被引量:17

Analysis on the Correspondence of TCM Syndromes, Syndrome Factors and Symptoms of Chronic Heart Failure based on Neoteric Literature

在线阅读下载全文

作  者:杜睿凯[1] 张鹏[1,2] 刘鹏[1] 郭淑贞[2] 毕力夫[2] 王伟[2] 

机构地区:[1]武汉市中医医院心内科 [2]北京中医药大学

出  处:《中医杂志》2012年第2期151-154,164,共5页Journal of Traditional Chinese Medicine

基  金:国家中医药管理局中医药行业科研专项资助项目(200807007)

摘  要:目的总结慢性心力衰竭(CHF)常见证候、证候要素与症状的对应性,为进一步制定以辨中医证候要素为核心的CHF诊断规范提供参考和依据。方法通过对CHF相关现代文献进行检索及规范,运用SPSS16.0进行频数及二分类Logistic回归统计分析。结果频数较高的症状基本能反映出与之对应的证候、证候要素的特点;贡献度较大的症状基本能反映与之对应的证候要素的特点;除证候要素痰在频数法、Logistic法中症状大体一致外,其余证候要素下症状在这两种方法中结果表现不完全一致。结论两种方法互有优点缺点,对进一步制定CHF以辨证候要素为核心的诊断规范有一定参考价值。Objective To summarize the correspondence of common syndromes, syndrome factors, and symptoms of chronic heart failure (CHF) in order to provide reference and basis for the further development of diagnostic criteria of CHF with syndrome factors as a core. Methods The neoteric literature on CHF was retrieved and standardized, and the SPSS16.0 software was adopted for the frequence and Binary Logistic regression analysis on the syndromes, syndrome factors, and symptoms of CHF. Results The high frequency of symptoms could basically reflect the features of corresponding syndromes and syndrome factors. The larger contribution symptoms could basically reflect the features of corresponding syndrome factors. Except that the syndrome factor sputum in the frequence and Binary Logistic regression analysis was basically consistent with the symptoms, other syndrome factor symptoms were not necessarily consistent in these two analyzing methods. Conclusion Each of these two methods has its advantages and disadvantages. Both of them are applicable for reference for the further development of diagnostic criteria of CHF with syndrome factors as a core. They are worth for more exploration.

关 键 词:慢性心力衰竭 症状 证候 证候要素 文献研究 

分 类 号:R259[医药卫生—中西医结合]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象