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Updated: Jul 5, 2026

Differential Effects of Lipid-lowering Drugs in Modulating Morphology of Cholesterol Particles
Published on: November 10, 2017
The impact of low serum triglyceride on LDL-cholesterol estimation
Seyed-Ali Ahmadi1, Mohammad-Ali Boroumand, Katayoun Gohari-Moghaddam
1Department of Pathology, Sina Hospital, Medical Sciences/ University of Tehran, Tehran, Iran. ahmadise@tums.ac.ir
Abstract:
Most clinical laboratories directly measure serum triglyceride, total cholesterol, and high- density lipoprotein cholesterol. They indirectly calculate low-density lipoprotein cholesterol value using the Friedewald equation. Although high serum triglyceride (>400 mg/dL or 4.52 mmol/L) devaluates low-density lipoprotein cholesterol calculation by using this formula, effects of low serum triglyceride (<100 mg/dL or 1.13 mmol/L) on its accuracy is less defined.Two hundred thirty serum samples were assayed during a one-year period. In 115 samples, the triglyceride level was below 100 mg/dL and in 115 samples from age- and sex-matched patients the triglyceride level was 150 - 350 mg/dL (1.69 - 3.95 mmol/L). In both groups total cholesterol was above 250 mg/dL (6.46 mmol/L). On each sample, total cholesterol, high-density lipoprotein cholesterol, and triglyceride were directly measured in duplicate and low-density lipoprotein cholesterol measured directly and calculated with Friedewald equation as well. Statistical analysis showed that when triglyceride is <100 mg/dL, calculated low- density lipoprotein cholesterol is significantly overestimated (average :12.17 mg/dL or 0.31 mmol/L), where as when triglyceride is between 150 and 300 mg/dL no significant difference between calculated and measured low-density lipoprotein cholesterol is observed. In patients with low serum triglyceride and undesirably high total cholesterol levels, Friedewald equation may overestimate low-density lipoprotein cholesterol concentration and it should be either directly assayed or be calculated by a modified Friedewald equation. Using linear regression modeling, we propose a modified equation.
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