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开发改良的低密度脂蛋白(M-LDL-C)弗里德瓦尔德方程作为加纳人群中直接低密度脂蛋白胆固醇(LDL-C)测量的替代方法:一项比较研究。

Developing a Modified Low-Density Lipoprotein (M-LDL-C) Friedewald's Equation as a Substitute for Direct LDL-C Measure in a Ghanaian Population: A Comparative Study.

作者信息

Ephraim Richard K D, Acheampong Emmanuel, Swaray Swithin M, Odame Anto Enoch, Agbodzakey Hope, Adoba Prince, Oppong Afranie Bright, Nsenbah Batu Emmanuella, Adu Patrick, Ahenkorah Fondjo Linda, Sakyi Samuel Asamoah, Amoah Beatrice

机构信息

Department of Medical Laboratory Science, School of Allied Health Sciences, University of Cape Coast, Ghana.

Department of Molecular Medicine, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Ghana.

出版信息

J Lipids. 2018 Dec 31;2018:7078409. doi: 10.1155/2018/7078409. eCollection 2018.

Abstract

Despite the availability of several homogenous LDL-C assays, calculated Friedewald's LDL-C equation remains the widely used formula in clinical practice. Several novel formulas developed in different populations have been reported to outperform the Friedewald formula. This study validated the existing LDL-C formulas and derived a modified LDL-C formula specific to a Ghanaian population. In this comparative study, we recruited 1518 participants, derived a new modified Friedewald's LDL-C (M-LDL-C) equation, evaluated LDL-C by Friedewald's formula (F-LDL-C), Martin's formula (N-LDL-C), Anandaraja's formula (A-LDL-C), and compared them to direct measurement of LDL-C (D-LDL-C). The mean D-LDL-C (2.47±0.71 mmol/L) was significantly lower compared to F-LDL-C (2.76±1.05 mmol/L), N-LDL-C (2.74±1.04 mmol/L), A-LDL-C (2.99±1.02 mmol/L), and M-LDL-C (2.97±1.08 mmol/L) p < 0.001. There was a significantly positive correlation between D-LDL-C and A-LDL-C (r=0.658, p<0.0001), N-LDL-C (r=0.693, p<0.0001), and M-LDL-C (r=0.693, p<0.0001). M-LDL-c yielded a better diagnostic performance [(area under the curve (AUC)=0.81; sensitivity (SE) (60%) and specificity (SP) (88%)] followed by N-LDL-C [(AUC=0.81; SE (63%) and SP (85%)], F-LDL-C [(AUC=0.80; SE (63%) and SP (84%)], and A-LDL-C (AUC=0.77; SE (68%) and SP (78%)] using D-LDL-C as gold standard. Bland-Altman plots showed a definite agreement between means and differences of D-LDL-C and the calculated formulas with 95% of values lying within ±0.50 SD limits. The modified LDL-C (M-LDL-C) formula derived by this study yielded a better diagnostic accuracy compared to A-LDL-C and F-LDL-C equations and thus could serve as a substitute for D-LDL-C and F-LDL-C equations in the Ghanaian population.

摘要

尽管有几种同质化的低密度脂蛋白胆固醇(LDL-C)检测方法,但计算得出的弗里德瓦尔德LDL-C方程在临床实践中仍是广泛使用的公式。据报道,在不同人群中开发的几种新公式比弗里德瓦尔德公式表现更优。本研究验证了现有的LDL-C公式,并推导了适用于加纳人群的改良LDL-C公式。在这项对比研究中,我们招募了1518名参与者,推导了一个新的改良弗里德瓦尔德LDL-C(M-LDL-C)方程,用弗里德瓦尔德公式(F-LDL-C)、马丁公式(N-LDL-C)、阿南达拉贾公式(A-LDL-C)评估LDL-C,并将它们与直接测量的LDL-C(D-LDL-C)进行比较。与F-LDL-C(2.76±1.05 mmol/L)、N-LDL-C(2.74±1.04 mmol/L)、A-LDL-C(2.99±1.02 mmol/L)和M-LDL-C(2.97±1.08 mmol/L)相比,平均D-LDL-C(2.47±0.71 mmol/L)显著更低,p < 0.001。D-LDL-C与A-LDL-C(r = 0.658,p < 0.0001)、N-LDL-C(r = 0.693,p < 0.0001)和M-LDL-C(r = 0.693,p < 0.0001)之间存在显著正相关。以D-LDL-C作为金标准,M-LDL-c的诊断性能更好[曲线下面积(AUC)= 0.81;灵敏度(SE)(60%)和特异性(SP)(88%)],其次是N-LDL-C [(AUC = 0.81;SE(63%)和SP(85%)]、F-LDL-C [(AUC = 0.80;SE(63%)和SP(84%)]和A-LDL-C(AUC = 0.77;SE(68%)和SP(78%)]。布兰德-奥特曼图显示D-LDL-C与计算公式的均值和差值之间有明确的一致性,95%的值落在±0.50标准差范围内。本研究推导的改良LDL-C(M-LDL-C)公式与A-LDL-C和F-LDL-C方程相比,诊断准确性更高,因此在加纳人群中可替代D-LDL-C和F-LDL-C方程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce13/6332996/561a386e0b6d/JL2018-7078409.001.jpg

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