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Published on: November 17, 2018

Comparative study of direct-measured and calculated LDL in clinical use

Surachai Rungtanapirom1, Boonsong Ongphiphadhanakul, Thanongsak Kiatbamrungpunt

  • 1Department of Internal Medicine, Bangkok Hospital Medical Center, Bangkok, Thailand. surachrr48@hotmail.com

Journal of the Medical Association of Thailand = Chotmaihet Thangphaet
|October 9, 2008
PubMed

Insights

Directly-measured LDL cholesterol (DLDL-C) is significantly higher than calculated LDL cholesterol (CLDL-C). New equations improve LDL-C calculation accuracy across a broader triglyceride range.

Area of Science:

  • Clinical Chemistry
  • Cardiovascular Diagnostics

Background:

  • Lipid profiles are crucial for cardiovascular risk assessment.
  • Directly-measured LDL cholesterol (DLDL-C) and calculated LDL cholesterol (CLDL-C) using the Friedewald equation are commonly used.
  • The Friedewald equation has limitations, particularly with elevated triglyceride levels.

Purpose of the Study:

  • To compare DLDL-C and CLDL-C values obtained during routine hospital laboratory service.
  • To evaluate the accuracy of CLDL-C compared to DLDL-C across different patient demographics and triglyceride levels.

Main Methods:

  • Analysis of 9,285 lipid profiles from Bangkok Hospital.
  • Included total cholesterol (TC), triglyceride (TG), HDL cholesterol (HDL-C), and DLDL-C (homogeneous method).
  • CLDL-C was calculated using the Friedewald equation; limitations for TG > 400 mg/dL were noted.

Main Results:

  • DLDL-C was found to be 13.4% ± 8.8% higher than CLDL-C.
  • Developed and presented two novel equations to calculate LDL-C, incorporating age, BMI, and sex, to achieve closer agreement with DLDL-C over a wider TG range.

Conclusions:

  • Diabetes Mellitus (DM) and lipid-lowering medication use did not impact the correlation between CLDL-C and DLDL-C.
  • The proposed equations offer improved accuracy for LDL-C estimation compared to the traditional Friedewald equation, especially in diverse patient populations.
Abstract

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