Spherical Coordinate System for Dyslipoproteinemia Phenotyping and Risk Prediction.

ABSTRACT: Background/Objectives: The factors contributing to residual atherosclerotic cardiovascular disease (ASCVD) risk in individuals are not fully understood, but knowledge of the specific type of dyslipoproteinemia may help further refine risk assessment. We developed a novel phenotyping and risk assessment system that may be applied automatically using standard lipid panel parameters. Methods: NHANES data collected from 37,056 individuals during 1999-2018 were used to develop a three-dimensional dyslipidemia phenotype classification system. ARIC data from 14,632 individuals were used to train and validate the risk model. Three-dimensional Cartesian coordinates were converted to spherical coordinates, which were used as features in a logistic regression model that provides a proba

SUBMITTER: Cole J 

PROVIDER: S-EPMC12610519 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature