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Related Experiment Video

Updated: Jun 28, 2026

Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein

Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein

Published on: October 12, 2017

Evaluation of alternative calculation methods for determining LDL cholesterol.

B Vohnout¹, A Vachulová, P Blazícek

¹2nd Dept. of Internal Medicine, School of Medicine, Comenius University, Bratislava, Slovakia. branislav.vohnout@rm.unicatt.it

Vnitrni Lekarstvi

|November 18, 2008

Summary

The Friedewald formula, while underestimating low-density lipoprotein cholesterol (LDL-C), performed better than two alternative formulas in this study. These findings highlight the need for accurate LDL-C measurement methods.

Related Experiment Videos

Last Updated: Jun 28, 2026

Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein

Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein

Published on: October 12, 2017

Area of Science:

Clinical Chemistry
Cardiovascular Disease Biomarkers

Background:

The Friedewald formula is a widely used method for estimating low-density lipoprotein cholesterol (LDL-C).
Limitations of the Friedewald formula necessitate the exploration of alternative LDL-C calculation methods.
Accurate LDL-C measurement is crucial for cardiovascular risk assessment.

Purpose of the Study:

To evaluate the clinical utility of alternative formulas for calculating LDL-C.
To compare the accuracy of the Friedewald formula against alternative methods for LDL-C estimation.
To assess the performance of different LDL-C calculation methods across various triglyceride levels.

Main Methods:

Ninety-three subjects without coronary heart disease were included in the study.
LDL-C was measured directly using a homogeneous assay.
Calculated LDL-C values were obtained using the Friedewald formula (LDL1) and two alternative formulas (LDL2, LDL3).

Main Results:

All three formulas, including the Friedewald formula, underestimated the measured LDL-C.
The Friedewald formula (LDL1) exhibited the lowest assay bias across all investigated groups.
Mean absolute bias was 7.6% for LDL1, 18.3% for LDL2, and 13.6% for LDL3.
Correlation coefficients (r) between calculated and directly measured LDL-C ranged from 0.82 to 0.90.

Conclusions:

The Friedewald formula demonstrated superior performance compared to the two alternative formulas evaluated in this study.
Despite being a better estimator in this cohort, the Friedewald formula still underestimated LDL-C levels.
Further research may be needed to refine LDL-C calculation methods, especially for individuals with varying triglyceride levels.