Martin's Equation as the Most Suitable Method for Estimation of Low-Density Lipoprotein Cholesterol Levels in Korean Adults.
Martin's Equation as the Most Suitable Method for Estimation of Low-Density Lipoprotein Cholesterol Levels in Korean Adults.
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DOI：
10.4082/kjfm.2017.38.5.263
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发表时间：
2017-09
影响因子：
2.3
通讯作者：
Ki H
中科院分区：
文献类型：
--
作者：
Kang M;Kim J;Lee SY;Kim K;Yoon J;Ki H
弗里德瓦尔德方程是最广泛使用的估计低密度脂蛋白胆固醇（LDL-C）水平的方法。然而，由于潜在的高估或低估，许多研究使用了修改后的方程。本研究旨在比较4种不同方程的估计值与直接测量的LDL-C浓度，以提出韩国人群中LDL-C估计的最合适方法。我们研究了在首尔的一所大学医院测量的4,350名受试者的数据，包括总胆固醇、高密度脂蛋白胆固醇（HDL-C）、甘油三酯（TG）和LDL-C浓度。我们研究了4个方程：LDL-C由弗里德瓦尔德的原始方程（LDL-CF）和它的3个修改。进行皮尔逊相关分析，以比较这些估计值的直接测量。Pearson相关分析显示所有4个估计的LDL-C值与直接测量的LDL-C值之间具有良好的相关性。LDL-CF的Pearson系数为0.951，Hatta方程LDL-C的Pearson系数为0.917（LDL-CH），Puavilai方程LDL-C的Pearson系数为0.968（LDL-CP），Martin方程LDL-C的Pearson系数为0.983（LDL-CM）。Martin方程（LDL-CM）得出最佳近似值（与直接测量值的平均差异为5.5 mg/dL;与直接测量值的平均百分比差异为5.1%）和与直接测量值的最佳一致性（86.1%）。LDL-CP产生第二最佳近似值（平均差异，7.0 mg/dL;平均百分比差异，6.2%;一致性，82.5%）。发现LDL-CM受TG和HDL-C水平的影响小于LDL-CF。Martin方程的估计值与直接LDL-C浓度最一致，Martin和Puavilai方程均上级于估计韩国成人LDL-C浓度的弗里德瓦尔德方程。
Friedewald equation is the most widely used method for estimating low-density lipoprotein cholesterol (LDL-C) level. However, due to potential over- or underestimation, many studies have used a modified equation. This study aimed to compare estimates by 4 different equations to directly measured LDL-C concentrations in order to propose the most appropriate method for LDL-C estimation in the Korean population. We studied data of 4,350 subjects that included total cholesterol, high-density lipoprotein cholesterol (HDL-C), triglyceride (TG), and LDL-C concentrations that had been measured at one university hospital in Seoul. We investigated 4 equations: LDL-C by Friedewald's original equation (LDL-CF) and its 3 modifications. Pearson correlation analysis was performed to compare these estimates to the direct measurement. Pearson correlation analysis revealed a good correlation among all 4 estimated LDL-C values and the directly measured LDL-C value. The Pearson coefficients were 0.951 for LDL-CF, 0.917 for LDL-C by Hatta equation (LDL-CH), 0.968 for LDL-C by Puavilai equation (LDL-CP), and 0.983 for LDL-C by Martin equation (LDL-CM). Martin equation (LDL-CM) resulted in the best approximation (mean difference from the direct measurement, 5.5 mg/dL; mean percentage difference from the direct measurement, 5.1%) and the best agreement with the direct measurement (86.1%). LDL-CP resulted in the second-best approximation (mean difference, 7.0 mg/dL; mean percentage difference, 6.2%; concordance, 82.5%). LDL-CM was found to be less influenced by TG and HDL-C levels than by LDL-CF. Estimates by Martin equation had the best agreement with direct LDL-C concentrations and both Martin and Puavilai equations were superior to Friedewald equation for estimating LDL-C concentrations in Korean adults.