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通过计算机解读对高脂蛋白血症进行分类。

Classification of hyperlipoproteinaemias by computer interpretation.

作者信息

Loughlin J F, Leung F Y, Henderson A R

出版信息

Ann Clin Biochem. 1984 Jul;21 ( Pt 4):326-31. doi: 10.1177/000456328402100416.

Abstract

We have developed a microcomputer-based system for the classification and interpretative reporting of lipoprotein electrophoretic data. The decision logic takes into consideration the sex and age of the subject, the concentration of total cholesterol and triglyceride, the appearance of the serum after standing at 4 degrees C for 18 h or more and the type of lipoprotein abnormality observed from polyacrylamide disc gel electrophoresis to produce a phenotype according to the classification developed by Fredrickson and co-workers. As the hyperlipoproteinaemia may be primary or secondary to a number of associated conditions, these are included in the report with the six possible phenotypes. A high correlation (98.7%) between manual and computer interpretation was found for 152 consecutive cases of lipoprotein phenotyping.

摘要

我们开发了一种基于微型计算机的系统,用于脂蛋白电泳数据的分类和解释性报告。决策逻辑考虑了受试者的性别和年龄、总胆固醇和甘油三酯的浓度、血清在4℃下静置18小时或更长时间后的外观以及从聚丙烯酰胺圆盘凝胶电泳观察到的脂蛋白异常类型,以根据弗雷德里克森及其同事制定的分类产生一种表型。由于高脂血症可能是原发性的,也可能继发于多种相关疾病,因此这些疾病与六种可能的表型一起包含在报告中。对152例连续的脂蛋白表型分析病例进行手动和计算机解释之间发现了高度相关性(98.7%)。

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