Abstract

Background

Dyslipoproteinemias can be classified by their distinct lipoprotein patterns, which helps determine atherosclerotic cardiovascular disease (ASCVD) risk and directs lipid management but this has required advanced laboratory testing.

Objective

To develop a new algorithm for classifying lipoprotein disorders that only relies on the standard lipid panel.

Methods

Lipid thresholds for defining the different lipoprotein phenotypes were derived for Non-High-Density Lipoprotein-Cholesterol (NonHDL-C) and Triglycerides (TG) to be concordant when possible with the current US Multi-Society guidelines for blood cholesterol management.

Results

The new classification method categorizes patients into all the classical Fredrickson-like phenotypes except for Type III dysbetalipoproteinemia. In addition, a new hypolipidemic phenotype (Type VI) due to genetic mutations in apoB-metabolism is described. The validity of the new algorithm was confirmed by lipid analysis by NMR (N = 11,365) and by concordance with classification by agarose gel electrophoresis/beta-quantification (N = 5504). Furthermore, based on the Atherosclerosis Risk in Communities (ARIC) cohort (N = 14,742), the lipoprotein phenotypes differ in their association with ASCVD (TypeV>IIb > IVb > IIa > IVa > normolipidemic) and can be used prognostically as risk enhancer conditions in the management of patients.

Conclusions

We describe a clinically useful lipoprotein phenotyping system that is only dependent upon the standard lipid panel. It, therefore, can be easily implemented for increasing compliance with current guidelines and for improving the care of patients at risk for ASCVD.

Details

Title
A new phenotypic classification system for dyslipidemias based on the standard lipid panel
Author
Sampson, Maureen  VIAFID ORCID Logo  ; Ballout, Rami A; Soffer, Daniel; Wolska, Anna; Wilson, Sierra; Meeusen, Jeff; Donato, Leslie J; Fatica, Erica; Otvos, James D; Brinton, Eliot A; Rosenson, Robert S; Wilson, Peter; Amar, Marcelo; Shamburek, Robert; Karathanasis, Sotirios K; Remaley, Alan T
Pages
1-21
Section
Research
Publication year
2021
Publication date
2021
Publisher
BioMed Central
e-ISSN
1476511X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2611335082
Copyright
© 2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.