Comparing different assessments of remnant lipoprotein cholesterol: The very large database of lipids

Kamil F. Faridi, Renato Quispe, Seth S. Martin, Aditya D. Hendrani, Parag Joshi, Eliot A. Brinton, Daniel E. Cruz, Maciej Banach, Peter P. Toth, Krishnaji Kulkarni, Steven R. Jones

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
JournalJournal of Clinical Lipidology
DOIs
StatePublished - Jan 1 2019

Fingerprint

Databases
Lipids
Ultracentrifugation
VLDL Cholesterol
LDL Cholesterol
Triglycerides
lipoprotein cholesterol
Lipoproteins
Cardiovascular Diseases

Keywords

  • Cholesterol
  • Dyslipidemia
  • Lipids
  • Remnant lipoprotein
  • Triglycerides

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Nutrition and Dietetics
  • Cardiology and Cardiovascular Medicine

Cite this

Comparing different assessments of remnant lipoprotein cholesterol : The very large database of lipids. / Faridi, Kamil F.; Quispe, Renato; Martin, Seth S.; Hendrani, Aditya D.; Joshi, Parag; Brinton, Eliot A.; Cruz, Daniel E.; Banach, Maciej; Toth, Peter P.; Kulkarni, Krishnaji; Jones, Steven R.

In: Journal of Clinical Lipidology, 01.01.2019.

Research output: Contribution to journalArticle

Faridi, KF, Quispe, R, Martin, SS, Hendrani, AD, Joshi, P, Brinton, EA, Cruz, DE, Banach, M, Toth, PP, Kulkarni, K & Jones, SR 2019, 'Comparing different assessments of remnant lipoprotein cholesterol: The very large database of lipids', Journal of Clinical Lipidology. https://doi.org/10.1016/j.jacl.2019.06.001
Faridi, Kamil F. ; Quispe, Renato ; Martin, Seth S. ; Hendrani, Aditya D. ; Joshi, Parag ; Brinton, Eliot A. ; Cruz, Daniel E. ; Banach, Maciej ; Toth, Peter P. ; Kulkarni, Krishnaji ; Jones, Steven R. / Comparing different assessments of remnant lipoprotein cholesterol : The very large database of lipids. In: Journal of Clinical Lipidology. 2019.
@article{d28bd149459444b1a6a50461238935a9,
title = "Comparing different assessments of remnant lipoprotein cholesterol: The very large database of lipids",
abstract = "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.",
keywords = "Cholesterol, Dyslipidemia, Lipids, Remnant lipoprotein, Triglycerides",
author = "Faridi, {Kamil F.} and Renato Quispe and Martin, {Seth S.} and Hendrani, {Aditya D.} and Parag Joshi and Brinton, {Eliot A.} and Cruz, {Daniel E.} and Maciej Banach and Toth, {Peter P.} and Krishnaji Kulkarni and Jones, {Steven R.}",
year = "2019",
month = "1",
day = "1",
doi = "10.1016/j.jacl.2019.06.001",
language = "English (US)",
journal = "Journal of Clinical Lipidology",
issn = "1933-2874",
publisher = "Elsevier BV",

}

TY - JOUR

T1 - Comparing different assessments of remnant lipoprotein cholesterol

T2 - The very large database of lipids

AU - Faridi, Kamil F.

AU - Quispe, Renato

AU - Martin, Seth S.

AU - Hendrani, Aditya D.

AU - Joshi, Parag

AU - Brinton, Eliot A.

AU - Cruz, Daniel E.

AU - Banach, Maciej

AU - Toth, Peter P.

AU - Kulkarni, Krishnaji

AU - Jones, Steven R.

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Cholesterol

KW - Dyslipidemia

KW - Lipids

KW - Remnant lipoprotein

KW - Triglycerides

UR - http://www.scopus.com/inward/record.url?scp=85068865333&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068865333&partnerID=8YFLogxK

U2 - 10.1016/j.jacl.2019.06.001

DO - 10.1016/j.jacl.2019.06.001

M3 - Article

C2 - 31320236

AN - SCOPUS:85068865333

JO - Journal of Clinical Lipidology

JF - Journal of Clinical Lipidology

SN - 1933-2874

ER -