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Related Experiment Video

Updated: Jun 15, 2026

Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein
07:29

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

Published on: October 12, 2017

Evaluation of different formulas for LDL-C calculation.

Ana Vujovic1, Jelena Kotur-Stevuljevic, Slavica Spasic

  • 1Institute of Medical Biochemistry, Faculty of Pharmacy, Belgrade, Serbia. avujovic@pharmacy.bg.ac.rs

Lipids in Health and Disease
|March 12, 2010
PubMed
Summary
This summary is machine-generated.

A new modified formula for low-density lipoprotein cholesterol (LDL-C) estimation is more accurate for the Serbian population. This formula improves upon Friedewald's and Anandaraja's existing LDL-C calculation methods.

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Last Updated: Jun 15, 2026

Cell-free Biochemical Fluorometric Enzymatic Assay for High-throughput Measurement of Lipid Peroxidation in High Density Lipoprotein
07:29

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:

  • Friedewald's formula is widely used for estimating low-density lipoprotein cholesterol (LDL-C).
  • Newer formulas, like Anandaraja's, require validation before widespread clinical adoption.
  • Accurate LDL-C measurement is crucial for cardiovascular risk assessment.

Purpose of the Study:

  • To validate existing LDL-C estimation formulas (Friedewald's and Anandaraja's).
  • To derive and validate a more accurate LDL-C estimation formula for the Serbian population.

Main Methods:

  • Compared Friedewald's and Anandaraja's formulas against a direct homogenous LDL-C assay in 1010 patients.
  • Modified Friedewald's formula using results from the initial patient cohort.
  • Validated the modified formula in a second group of patients.

Main Results:

  • Direct LDL-C measurements were significantly higher than those calculated by Friedewald's and Anandaraja's formulas (p < 0.001).
  • A modified Friedewald's formula (replacing 2.2 with 3) demonstrated no statistically significant difference from the direct assay.
  • The modified formula (S-LDL-C) showed a high correlation (r = 0.96) and low absolute bias (-0.06 +/- 0.37 mmol/L) compared to the direct method.

Conclusions:

  • The modified LDL-C estimation formula is more accurate for the Serbian population.
  • This new formula offers improved precision over Friedewald's and Anandaraja's methods.
  • Clinical application of the modified formula may enhance diagnostic accuracy for LDL-C levels.