Lipoprotein metabolism indicators improve cardiovascular risk prediction.

ABSTRACT:

Background

Cardiovascular disease risk increases when lipoprotein metabolism is dysfunctional. We have developed a computational model able to derive indicators of lipoprotein production, lipolysis, and uptake processes from a single lipoprotein profile measurement. This is the first study to investigate whether lipoprotein metabolism indicators can improve cardiovascular risk prediction and therapy management.

Methods and results

We calculated lipoprotein metabolism indicators for 1981 subjects (145 cases, 1836 controls) from the Framingham Heart Study offspring cohort in which NMR lipoprotein profiles were measured. We applied a statistical learning algorithm using a support vector machine to select conventional risk factors and lipoprotein metabolism indicators that contr

SUBMITTER: van Schalkwijk DB 

PROVIDER: S-EPMC3965475 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature