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Estimation of plasma apolipoprotein B concentration using routinely measured lipid biochemical tests in apparently

Dong-Sik Cho1, Sookyoung Woo, Seonwoo Kim

  • 1Division of Cardiology, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, #108, Pyung Dong, Seoul, Jongro-Ku 110-746, Republic of Korea.

Cardiovascular Diabetology
|May 22, 2012
PubMed

Insights

Apolipoprotein B (apo B) is a key cardiovascular risk marker. Researchers developed a formula using LDL and triglyceride levels to accurately estimate apo B, aiding in better risk assessment.

Area of Science:

  • Cardiovascular Medicine
  • Clinical Biochemistry
  • Lipid Metabolism

Background:

  • Elevated low-density lipoprotein cholesterol (LDL) increases coronary heart disease (CHD) risk.
  • Residual cardiovascular disease risk persists despite optimal LDL treatment.
  • Apolipoprotein B (apo B) is a superior marker for atherogenic lipoprotein risk assessment compared to LDL concentration.

Purpose of the Study:

  • To develop a predictive formula for apolipoprotein B (apo B) using routine lipid biochemistry measurements.
  • To enable accessible and precise apo B estimation in clinical practice.
  • To improve cardiovascular risk stratification in patient populations.

Main Methods:

  • Utilized clinical and laboratory data from 73,047 Korean individuals.
  • Randomly divided the dataset into training and validation sets.
  • Employed multivariable linear regression analysis to build and validate the apo B estimation model.

Main Results:

  • The optimal prediction equation for apo B incorporated LDL and triglyceride (TG) concentrations: ApoB = -33.12 + 0.675*LDL + 11.95*ln(TG).
  • The developed formula demonstrated high predictive accuracy, achieving a concordance correlation coefficient (CCC) of 0.936.
  • The model effectively estimated apo B using commonly available lipid parameters.

Conclusions:

  • A simple and precise method for estimating apo B concentrations was established using routine lipid analysis.
  • The derived equation facilitates the assessment of an important cardiovascular risk marker.
  • This approach enhances the clinical utility of standard lipid panels for cardiovascular risk evaluation.
Abstract

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