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Performance of equations for calculated LDL-C in hypertriglyceridaemia: Which one correlates best with directly
Nicolene Steyn1, H Muller Rossouw1, Janine Martins1
1Department of Chemical Pathology, Faculty of Health Sciences and National Health Laboratory Service, Tshwane Academic Division, University of Pretoria, Pretoria, South Africa.
Insights
The Extended Martin-Hopkins (E-MH) equation better estimates low-density lipoprotein cholesterol (LDL-C) in hypertriglyceridaemia than the S-NIH2 equation. E-MH is less likely to underestimate LDL-C, improving diagnosis for patients needing treatment.
Area of Science:
- Clinical Chemistry
- Cardiovascular Diagnostics
- Lipid Metabolism
Background:
- Direct measurement of low-density lipoprotein cholesterol (LDL-C) is challenging.
- Traditional predictive equations for LDL-C have limitations, especially with elevated triglycerides (TG).
- Newer equations require validation for accuracy in hypertriglyceridaemia.
Purpose of the Study:
- To compare the accuracy of the Sampson-National Institutes of Health 2 (S-NIH2) and Extended Martin-Hopkins (E-MH) equations for LDL-C estimation.
- To evaluate these equations against direct LDL-C (dLDL-C) measurements in a large cohort, particularly in individuals with hypertriglyceridaemia.
- To determine which equation performs better on different laboratory platforms.
Main Methods:
- Utilized datasets from 64,765 individuals across two platforms (Abbott Architect and Roche Cobas).
- Compared LDL-C values calculated by S-NIH2 and E-MH equations with dLDL-C assay results.
- Analyzed performance across different TG levels, focusing on the range of 4.52–9.04 mmol/L.
Main Results:
- The S-NIH2 equation tended to underestimate LDL-C, while the E-MH equation tended to overestimate it within the 4.52–9.04 mmol/L TG range.
- Both equations showed better correlation with dLDL-C on the Abbott platform compared to Roche.
- The E-MH equation demonstrated superior concordance with dLDL-C across both platforms.
Conclusions:
- The E-MH equation provides a more accurate correlation with dLDL-C than the S-NIH2 equation, even with TG levels up to 9.04 mmol/L.
- In cases of hypertriglyceridaemia, the E-MH equation is less prone to underestimating LDL-C compared to S-NIH2.
- Utilizing the E-MH equation may reduce the underdiagnosis of patients requiring LDL-C-lowering treatment.
Background:
The gold standard for measuring LDL-C is impractical and direct measurements have numerous shortcomings. Older predictive equations are used only with triglycerides (TG's) below 4.52 mmol/L. We evaluated the newer equations validated for use in hypertriglyceridaemia by comparison with direct LDL-C.
Materials And Methods:
Datasets from two platforms (Abbott Architect and Roche Cobas) comprised of a large cohort of 64,765 individuals were used to compare the Sampson-National Institutes of Health 2 (S-NIH2) and Extended Martin-Hopkins (E-MH) equations for LDL-C with direct LDL-C (dLDL-C) assays.
Results:
With TG's of 4.52-9.04 mmol/L the S-NIH2 equation tended to calculate lower values than measured by dLDL-C and the E-MH equation calculated higher values. Both equations correlated better with the dLDL-C measured on Abbott than Roche with the E-MH equation having more values falling within acceptable concordance levels on both platforms.
Conclusion:
The E-MH equation correlates better with dLDL-C than the S-NIH2 on both platforms with TG levels up to 9.04 mmol/L. With hypertriglyceridaemia, the E-MH equation is less likely than the S-NIH2 equation to underestimate LDL-C when compared to the dLDL-C and will be less likely to underdiagnose patients with LDL-C levels requiring treatment according to current guidelines.
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