1. An improved method for estimating low LDL-C based on the enhanced Sampson-NIH equation
- Author
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Tatiana C. Coverdell, Maureen Sampson, Rafael Zubirán, Anna Wolska, Leslie J. Donato, Jeff W. Meeusen, Allan S. Jaffe, and Alan T. Remaley
- Subjects
Cholesterol ,Triglycerides ,Low-density lipoproteins ,Cardiovascular disease ,Biomarkers ,Nutritional diseases. Deficiency diseases ,RC620-627 - Abstract
Abstract Background The accurate measurement of Low-density lipoprotein cholesterol (LDL-C) is critical in the decision to utilize the new lipid-lowering therapies like PCSK9-inhibitors (PCSK9i) for high-risk cardiovascular disease patients that do not achieve sufficiently low LDL-C on statin therapy. Objective To improve the estimation of low LDL-C by developing a new equation that includes apolipoprotein B (apoB) as an independent variable, along with the standard lipid panel test results. Methods Using β-quantification (BQ) as the reference method, which was performed on a large dyslipidemic population (N = 24,406), the following enhanced Sampson-NIH equation (eS LDL-C) was developed by least-square regression analysis: $$eS\,LDL-C= \frac{TC}{1.15}-\frac{HDL-C}{1.25}-\frac{TG}{6.99}-\frac{\left(TG\times NonHDL-C\right)}{1120}+\frac{{TG}^{2}}{8910}+\frac{\left(TG\times ApoB\right)}{1240}+\frac{ApoB}{4.54}-4.73$$ e S L D L - C = TC 1.15 - H D L - C 1.25 - TG 6.99 - T G × N o n H D L - C 1120 + TG 2 8910 + T G × A p o B 1240 + ApoB 4.54 - 4.73 Results The eS LDL-C equation was the most accurate equation for a broad range of LDL-C values based on regression related parameters and the mean absolute difference (mg/dL) from the BQ reference method (eS LDL-C: 4.51, Sampson-NIH equation [S LDL-C]: 6.07; extended Martin equation [eM LDL-C]: 6.64; Friedewald equation [F LDL-C]: 8.3). It also had the best area-under-the-curve accuracy score by Regression Error Characteristic plots for LDL-C
- Published
- 2024
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