Association of cardiovascular events and lipoprotein particle size: Development of a risk score based on functional data analysis.

ABSTRACT:

Background

Functional data is data represented by functions (curves or surfaces of a low-dimensional index). Functional data often arise when measurements are collected over time or across locations. In the field of medicine, plasma lipoprotein particles can be quantified according to particle diameter by ion mobility.

Goal

We wanted to evaluate the utility of functional analysis for assessing the association of plasma lipoprotein size distribution with cardiovascular disease after adjustment for established risk factors including standard lipids.

Methods

We developed a model to predict risk of cardiovascular disease among participants in a case-cohort study of the Malmö Prevention Project. We used a linear model with 311 coefficients, corresponding to measures of lip

SUBMITTER: Rowland CM 

PROVIDER: S-EPMC6405139 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature