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Published on: November 10, 2017
Comparing different assessments of remnant lipoprotein cholesterol: The very large database of lipids
Kamil F Faridi1, Renato Quispe2, Seth S Martin2
1Division of Cardiovascular Disease, Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Ciccarone Center for Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Background:
Remnant lipoprotein cholesterol (RLP-C) is a risk factor for atherosclerotic cardiovascular disease, but there is no standard method for measurement. Some studies have used very low-density lipoprotein cholesterol estimated by the Friedewald equation to approximate RLP-C using a basic lipid panel, whereas others have attempted to measure RLP-C with ultracentrifugation.
Objective:
The aim of the study was to compare RLP-C levels estimated from basic lipid parameters to those measured by ultracentrifugation.
Methods:
We analyzed 1,350,908 individuals from the Very Large Database of Lipids, comparing one estimate of RLP-C using basic lipid parameters (RLP-Cestimated = non-high-density lipoprotein cholesterol - Friedewald-estimated low-density lipoprotein cholesterol for triglycerides <355 mg/dL [4 mmol/L], or non-high-density lipoprotein - directly measured low-density lipoprotein for triglycerides ≥355 mg/dL) to levels measured by vertical auto profile ultracentrifugation (RLP-Cmeasured = dense subfraction of very low-density lipoprotein cholesterol + intermediate-density lipoprotein cholesterol). We calculated correlations between RLP-Cestimated and RLP-Cmeasured along with median within-subject differences between RLP-Cestimated and RLP-Cmeasured across quintiles of RLP-Cestimated. We also assessed correlations with RLP-C estimated from basic lipid parameters using a novel method of calculating low-density lipoprotein cholesterol with a patient-specific conversion factor (RLP-Cestimated-N).
Results:
Our cohort was 48% male, and median (interquartile range) age was 59 (49-69) years. Median (interquartile range) RLP-Cestimated and RLP-Cmeasured were 23 (16.4-33.2) and 24 (19-32) mg/dL, respectively. The correlation between RLP-Cestimated and RLP-Cmeasured was 0.76. Based on the specified definition of RLP-Cestimated, the correlation between RLP-Cestimated and triglyceride/5 for triglyceride < 355 mg/dL was exactly 1.0. RLP-Cestimated was lower than RLP-Cmeasured in the first and second quintiles of RLP-Cestimated but greater in the highest quintile. The correlations with RLP-Cestimated-N were 0.98 and 0.81 for RLP-Cestimated and RLP-Cmeasured, respectively.
Conclusions:
A previously used estimate of RLP-C using basic lipid parameters correlates weakly with remnants measured by ultracentrifugation. Our findings emphasize the need to standardize definitions and measurements of RLP-C.
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