Teerakanchana's equation transcends over 12 other LDL-C quantification formulae in the North Indian population

Ghulam Mehdi Dar1, Manoswini Dash1, Bhawna Mahajan2

  • 1Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education and Research (GIPMER), Jawaharlal Nehru Marg, New Delhi 110002, India.

Insights

Teerakanchana and Vujovic formulas show high accuracy for estimating Low-Density Lipoprotein-cholesterol (LDL-C) levels. These formulas may offer a reliable alternative to the Friedewald formula in North Indian healthcare settings.

Area of Science:

  • Clinical Chemistry
  • Cardiovascular Disease Biomarkers
  • Epidemiology

Background:

  • Cardiovascular diseases (CVDs) mortality is rising globally.
  • Accurate Low-Density Lipoprotein-cholesterol (LDL-C) measurement is crucial for CVD risk assessment.
  • Friedewald's formula is widely used in India but its accuracy is debated.

Purpose of the Study:

  • To evaluate the accuracy of various formulas for LDL-C quantification.
  • To identify a formula that best agrees with direct LDL-C measurement methods.

Main Methods:

  • Lipid profiles were analyzed using a direct homogenous method (LDL-C_M).
  • LDL-C was calculated using 13 different formulas.
  • Statistical correlation and agreement analyses were performed against LDL-C_M.

Main Results:

  • Teerakanchana's formula demonstrated strong positive correlation (r=0.914) and agreement (Lin's CCC=0.929) with LDL-C_M.
  • Vujovic's formula also showed good correlation (r=0.903) and agreement (Lin's CCC=0.925).

Conclusions:

  • Teerakanchana and Vujovic formulas are highly accurate for LDL-C estimation.
  • These formulas may serve as effective replacements for Friedewald's formula in North Indian public healthcare.
Abstract

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