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Intuitive Modification of the Friedewald Formula for Calculation of LDL-Cholesterol.
Hong, Jinyoung; Gu, Hyunjung; Lee, Juhee; Lee, Woochang; Chun, Sail; Han, Ki Hoon; Min, Won-Ki.
Afiliação
  • Hong J; Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Gu H; Department of Laboratory Medicine, Hallym University Chuncheon Sacred Heart Hospital, Chuncheon, Korea.
  • Lee J; Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Lee W; University of Ulsan College of Medicine, Seoul, Korea.
  • Chun S; Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Han KH; Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Min WK; Department of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Ann Lab Med ; 43(1): 29-37, 2023 01 01.
Article em En | MEDLINE | ID: mdl-36045054
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 (R2) between measured and calculated LDL-C was higher for LDL-CM than for LDL-CF (R2=0.9330 vs. 0.9206). The agreement according to the National Cholesterol Education Program Adult Treatment Panel III classification of LDL-C was 86.36%, 86.08%, 86.82%, and 86.15% for LDL-CM, LDL-CF, LDL-CMa, and LDL-CS, respectively.

Conclusions:

We proposed a practical, improved LDL-C calculation formula by applying different factors depending on the triglyceride concentration.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Hipercolesterolemia / Hiperlipidemias Tipo de estudo: Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Ann Lab Med Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Cardiovasculares / Hipercolesterolemia / Hiperlipidemias Tipo de estudo: Risk_factors_studies Limite: Adult / Humans Idioma: En Revista: Ann Lab Med Ano de publicação: 2023 Tipo de documento: Article