代谢综合征是真的还是假的

Marsh Rw
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摘要

从结果中可以清楚地看出,使用这些定义变量进行代谢综合征分类的概率小于10%(50/50)。假阳性选择的数量大约是真阳性的三倍,真阳性仅占实际阳性病例的58%。这些定义变量所占的总方差在23%到34%之间。当四个定义器ABCD一起使用时,结果仅略微更好。MI和定义变量之间的这种弱关系表明代谢综合征是一个非常不完善的概念。在目前的形式下,它的使用很可能会给出误导性的结论。感谢Y. Ben-Shlomo教授提供的卡菲利数据。代谢综合征(MS)概念的基本假设是隐含的而不是明确的。将患者分为患有和未患有多发性硬化症组是基于五个特征,三个或更多特征的组合可以用来确定他们属于哪一类。这些特征包括甘油三酯、葡萄糖、高密度胆固醇水平、血压和肥胖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Metabolic Syndrome Real or Myth
It is clear from the results that the classification, using these defining variables, of having the metabolic syndrome is less than 10% better than chance (50/50). The number of false positive selections is about three times as great as the true positives which account for only 58% of the actual positive cases. The amount of total variance accounted for by these defining variables ranges between 23% to 34%. When four definers ABCD were used together the results were only marginally better. This weak relationship between MI and defining variables demonstrates that the metabolic syndrome is a very imperfect concept. In its present form its use is likely to give misleading conclusions. Thanks to Professor Y. Ben-Shlomo for access to the Caerphilly data. Assumptions underlying the concept of the Metabolic Syndrome (MS) are implicit rather than explicit. Categorization of patients into have and don’t have MS groups is based on five features, any combination of three or more may be used to determine which category they belong to. These features are triglyceride, glucose, and High Density (HD) cholesterol levels, blood pressure and obesity.
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