Sampson et al. developed a novel method to estimate very low-density lipoprotein cholesterol (VLDL-C) and low-density lipoprotein cholesterol (LDL-C) in the setting of hypertriglyceridemia. Familial Combined Hyperlipidemia (FCHL) is a common primary dyslipidemia in which lipoprotein composition interferes with LDL-C estimation. This study aimed to evaluate performance of LDL-C using this new method (LDL-S) compared with LDL-C estimated by Friedewald’s and Martin eq. (LDL-F, LDL-M) in FCHL. Data were collected from 340 subjects with confirmed FCHL. Concordance for VLDL-C measured by ultracentrifugation and LDL-C estimated using these measures compared to Sampson’s, Martin’s and Friedewald’s equations was performed using correlation coefficients, root mean squared error (RMSE) and bias. Also, concordance of misclassified metrics according to LDL-C (< 70 and < 100 mg/dL) and Apo B (< 80 and < 65 mg/dL) thresholds were assessed. Sampson’s equation was more accurate (RMSE 11.21 mg/dL; R2 = 0.88) compared to Martin’s (RMSE 13.15 mg/dL; R2 = 0.875) and the Friedewald’s equation (RMSE 13.7 mg/dL; R2 = 0.869). When assessing performance according to LDL-C, Sampson’s had highest correlation and lowest RMSE compared to other equations (RMSE 19.99 mg/dL; R2 = 0.840). Comparing performance strength across triglyceride levels, Sampson’s showed consistently improved correlations compared to Martin’s and Friedewald’s formulas for increasing triglycerides and for the FCHL phenotype of mixed dyslipidemia. Sampson’s also had improved concordance with treatment goals. In FCHL, VLDL-C and LDL-C estimation using Sampson’s formula showed higher concordance with lipid targets assessed using VLDL-C obtained by ultracentrifugation compared with Friedewald’s and Martin’s equations. Implementation of Sampson’s formula could improve treatment monitoring in FCHL.

中文翻译：

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使用 Sampson、Martin 和 Friedewald 方程对家族性合并高脂血症中 LDL-C 和 VLDL-C 估计的比较评估


桑普森等人。开发了一种新方法来估计高甘油三酯血症背景下的极低密度脂蛋白胆固醇（VLDL-C）和低密度脂蛋白胆固醇（LDL-C）。家族性混合性高脂血症 (FCHL) 是一种常见的原发性血脂异常，其中脂蛋白成分干扰 LDL-C 估计。本研究旨在评估使用这种新方法 (LDL-S) 的 LDL-C 性能，并将其与 Friedewald 和 Martin 方程估计的 LDL-C 进行比较。 FCHL 中的（LDL-F、LDL-M）。数据收集自 340 名确诊 FCHL 的受试者。使用相关系数、均方根误差 (RMSE) 和偏差，对超速离心测量的 VLDL-C 以及使用这些测量方法估计的 LDL-C 与 Sampson、Martin 和 Friedewald 方程进行比较的一致性。此外，还根据 LDL-C（< 70 和 < 100 mg/dL）和 Apo B（< 80 和 < 65 mg/dL）阈值评估了错误分类指标的一致性。与 Martin 方程（RMSE 13.15 mg/dL；R2 = 0.875）和 ​​Friedewald 方程（RMSE 13.7 mg/dL；R2 = 0.869）相比，Sampson 方程更准确（RMSE 11.21 mg/dL；R2 = 0.88）。根据 LDL-C 评估表现时，与其他方程相比，Sampson 方程具有最高的相关性和最低的 RMSE（RMSE 19.99 mg/dL；R2 = 0.840）。比较不同甘油三酯水平的表现强度，与马丁和弗里德瓦尔德的公式相比，桑普森的公式在增加甘油三酯和混合性血脂异常的 FCHL 表型方面显示出持续改善的相关性。桑普森的治疗目标的一致性也有所提高。在 FCHL 中，与 Friedewald 方程和 Martin 方程相比，使用 Sampson 公式估计的 VLDL-C 和 LDL-C 与使用超速离心获得的 VLDL-C 评估的脂质目标具有更高的一致性。 桑普森公式的实施可以改善 FCHL 的治疗监测。