ArticleAnnals of laboratory medicine2023
Intuitive Modification of the Friedewald Formula for Calculation of LDL-Cholesterol.
Article in Annals of laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- When Direct LDL Cholesterol Assays Fail: A Case Series of Analytically Implausible Results.Annals of laboratory medicine · 2026Article
- Metabolomic and biochemical evaluation of linalool and methyl eugenol as natural alternatives to varenicline in nicotine-induced metabolic dysfunction.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Toward High-Quality Real-World Laboratory Data in the Era of Healthcare Big Data.Annals of laboratory medicine · 2025Review
- Lipid metabolism disorders and albuminuria risk: insights from National Health and Nutrition Examination Survey 2001-2018 and Mendelian randomization analyses.Renal failure · 2024Article
- Assessing Performance of Martins's and Sampson's Formulae for Calculation of LDL-C in Indian Population: A Single Center Retrospective Study.Indian journal of clinical biochemistry : IJCB · 2024Article
- A novel equation for the estimation of low-density lipoprotein cholesterol in the Saudi Arabian population: a derivation and validation study.Scientific reports · 2024Article
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7 authors.
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Abstract
Background: High LDL-cholesterol (LDL-C) is an established risk factor for cardiovascular disease and is considered an important therapeutic target. It can be measured directly or calculated from the results of other lipid tests. The Friedewald formula is the most widely used formula for calculating LDL-C. We modified the Friedewald formula for a more accurate and practical estimation of LDL-C. Methods: Datasets, including measured triglyceride, total cholesterol, HDL-cholesterol, and LDL-C concentrations were collected and assigned to derivation and validation sets. The datasets were further divided into five groups based on triglyceride concentrations. In the modified formula, LDL-C was defined as total cholesterol - HDL-cholesterol - (triglyceride/adjustment factor). For each group, the adjustment factor that minimized the difference between measured LDL-C and calculated LDL-C using modified formula was obtained. For validation, measured LDL-C and LDL-C calculated using the modified formula (LDL-CM), Friedewald formula (LDL-CF), Martin-Hopkins formula (LDL-CMa), and Sampson formula (LDL-CS) were compared. Results: In the derivation set, the adjustment factors were 4.7, 5.9, 6.3, and 6.4 for the groups with triglyceride concentrations <100, 101-200, 201-300, and >300 mg/dL, respectively. In the validation set, the coefficient of determination (R Conclusions: We proposed a practical, improved LDL-C calculation formula by applying different factors depending on the triglyceride concentration.
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