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[心血管疾病诊断实验室参数的价值与排序。柏林EBMO-Cor人群研究的多变量和判别分析结果]

[Value and rank of diagnostic laboratory parameters in cardiovascular diseases. Results of multivariant and discriminant analyses of the Berlin EBMO-Cor population study].

作者信息

Gerhard W, Hempel W E, Hermann K, Richter K, Wagenknecht C U

出版信息

Z Kardiol. 1987 Jan;76(1):44-50.

PMID:3564617
Abstract

Based on present clinical-chemical parameters a representative population were studied; importance and order of rank of 10 data chosen from a total data pool are determined by means of multivariant and discriminant analysis. As a result the validity of characters with and without apriori probabilities for 5 pairs of classes (persons suffering from a heart disease in comparison to healthy persons divided in sexes and overall, as well as examination of separate sexes for healthy persons and those suffering from a heart disease) are examined (alpha less than or equal to 0.05). This calculation tested the importance of the parameters hemoglobin and creatinine in being different in males and females. To diagnose persons suffering from a heart disease (X-ray-morphologically defined suspects of heart and vessel diseases) from healthy persons, the optimized number of characteristics were determined in cholesterol, erythrocyte sedimentation rate, ASAT, blood glucose (independent of sex). By means of these results it is possible to identify persons suffering from a heart disease from healthy persons and to call for illustrative laboratory examinations using already mentioned parameters and the function of discriminance W = p sigma i = 1 ai X Xi. The determination of sensitivity and specification yielded a value of up to 98 per cent resp. 94 per cent depending on whether with or without apriori probabilities. This enables use to be modified to suit different purposes.

摘要

基于目前的临床化学参数,对具有代表性的人群进行了研究;通过多变量和判别分析确定了从总数据池中选取的10个数据的重要性和排名顺序。结果,对5对类别(患有心脏病的人与按性别和总体划分的健康人相比,以及对健康人和患有心脏病的人的不同性别进行检查)的有无先验概率特征的有效性进行了检验(α≤0.05)。该计算测试了血红蛋白和肌酐参数在男性和女性中的差异重要性。为了从健康人中诊断出患有心脏病的人(经X射线形态学定义的心脏和血管疾病疑似患者),确定了胆固醇、红细胞沉降率、谷草转氨酶、血糖(与性别无关)的最佳特征数量。根据这些结果,可以从健康人中识别出患有心脏病的人,并使用上述参数和判别函数W = p sigma i = 1 ai X Xi进行说明性实验室检查。敏感性和特异性的测定分别得出高达98%和94%的值,这取决于是否有先验概率。这使得可以根据不同目的进行修改使用。

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