Comparison of Three Methods for LDLC Calculation for Cardiovascular Disease Risk Categorisation in Three Distinct

Cathy J Sun1, Christopher McCudden2, Diane Brisson3

  • 1Division of Endocrinology and Metabolism, Department of Medicine, University of Ottawa, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Insights

Newer equations for calculating low-density-lipoprotein cholesterol (LDLC) can reclassify cardiovascular disease (CVD) risk. The Martin-Hopkins (M-LDLC) and Sampson-NIH (S-LDLC) equations offer improved accuracy over the Friedewald equation (F-LDLC), especially in patients with high triglycerides.

Area of Science:

  • Clinical Chemistry
  • Cardiovascular Medicine
  • Biochemistry

Background:

  • The Friedewald equation for calculating low-density-lipoprotein cholesterol (F-LDLC) has limitations.
  • The Martin-Hopkins (M-LDLC) and Sampson-National Institutes of Health (S-LDLC) equations were developed as alternatives.
  • Accurate LDLC calculation is crucial for cardiovascular disease (CVD) risk stratification.

Purpose of the Study:

  • To compare the M-LDLC and S-LDLC equations against the F-LDLC equation.
  • To assess the impact of using M-LDLC and S-LDLC on CVD risk classification according to Canadian Cardiovascular Society (CCS) 2021 guidelines.
  • To evaluate the performance of these equations across different patient populations, including those with familial hypercholesterolemia (FH).

Main Methods:

  • Lipid profiles from three distinct populations were analyzed: a hospital laboratory, lipid clinic patients without monogenic dyslipidemias, and lipid clinic patients with FH.
  • Calculated LDLC values using F-LDLC, M-LDLC, and S-LDLC equations were compared.
  • Patient reclassification into CCS 2021 CVD risk categories based on each LDLC calculation method was determined.

Main Results:

  • All three LDLC calculation methods showed strong correlation.
  • M-LDLC and S-LDLC generally yielded higher values than F-LDLC as triglyceride levels increased (up to ~5 mmol/L) in non-FH populations.
  • S-LDLC yielded lower values than F-LDLC in FH patients.
  • Switching from F-LDLC to M-LDLC or S-LDLC resulted in reclassification of 3.9% to 7.2% of patients to a different CVD risk category, often to a higher risk category.

Conclusions:

  • M-LDLC and S-LDLC equations can significantly alter patient CVD risk stratification compared to F-LDLC.
  • The discrepancy between calculated LDLC values increases with higher triglyceride and lower LDLC levels.
  • Clinical laboratories should consider adopting M-LDLC or S-LDLC, with a caution against using S-LDLC in FH patients pending further research.
Abstract

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