CARDIOVASCULAR DISEASE RISK ASSESSMENT
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Aug 21, 2017
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Nov 17, 2014
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Abstract
The invention provides improved methods for analyzing cardiovascular disease risk. According to the invention, an algorithm that considers LDL and HDL subfractions, along with Lp(a) provides significant improvement in predicting CVD versus standard assays that include standard risk factors. Methods of the invention comprise measuring LDL and HDL subfractions in addition to Lp(a) without reference to standard risk factor measurements, such as CRP, total cholesterol, body mass index, weight, triglycerides, and the like. It is unexpected that an algorithm focusing only on LDL and HDL subfractions and Lp(a) would be more informative as to CVD risk than measurements that are much more comprehensive in terms of the markers that are reviewed. In particular, the sdLDL-C subfraction of LDL and the ApoA-1 in large alpha-1 HDL are most informative in conjunction with Lp(a).
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