改进估算低密度脂蛋白胆固醇水平的Martin-Hopkins方法:中位数与最佳TG/VLDL-C比值。

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2025-07-03 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0327169
Jongseok Lee, Hyelim Lee, Hwajung Cha, Jun Seok, In Cheol Jeong
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引用次数: 0

摘要

背景:低密度脂蛋白胆固醇(LDL-C)是心血管疾病的主要可改变危险因素,当甘油三酯(TG)水平低于400mg /dL时,通常使用Friedewald公式计算。最近的研究表明,马丁-霍普金斯方法在不同人群中具有优越的准确性。虽然该方法使用层特异性TG/VLDL-C的中位数比率来估计极低密度脂蛋白胆固醇(VLDL-C),但其对中位数统计的依赖引发了这些比率是否真正最佳的问题。目的和方法:本研究评估了Martin-Hopkins方法与Friedewald公式的性能,重点关注其通过应用最佳TG/VLDL-C比率进行改进的潜力。利用韩国国家健康与营养调查(KNHANES)中18,322名个体的数据,我们根据临床指南定义的LDL-C类别,推导出了针对特定人群的最佳TG/VLDL-C比值,旨在最大限度地与直接测量的LDL-C值保持一致。我们比较了四种LDL-C估计模型的性能:弗里德瓦尔德公式(LDL-CF)、原始马丁-霍普金斯方法(LDL-CM-N)和两种应用从我们的数据中得出的TG/VLDL-C比率的替代模型——一种使用中位数(LDL-CKM-N),另一种使用适合每个地层的最优值(LDL-CKO-N)。结论:与中位数比值相比,在Martin-Hopkins方法中应用最佳TG/VLDL-C比值提高了准确性,特别是当分层同时包含TG和非高密度脂蛋白胆固醇(non-HDL-C)水平时。这种增强可以在不增加分层数量的情况下实现,提供了一种实用的途径来改进LDL-C估计,同时避免过度分层。我们的研究结果表明,虽然中位数统计数据可能足以用于仅TG分层,但它们并不能完全捕获TG和非hdl - c联合分层的最佳TG/VLDL-C比率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Refining the Martin-Hopkins method for estimating low-density lipoprotein cholesterol levels: Median versus optimal TG/VLDL-C ratio.

Background: Low-density lipoprotein cholesterol (LDL-C), a major modifiable risk factor for cardiovascular diseases, is typically calculated using the Friedewald formula when triglyceride (TG) levels are below 400 mg/dL. Recent studies have demonstrated the superior accuracy of the Martin-Hopkins method across diverse populations. While this method estimates very-low-density lipoprotein cholesterol (VLDL-C) using strata-specific median TG/VLDL-C ratios, its reliance on median statistics raises questions about whether these ratios are truly optimal.

Objectives and methods: This study evaluated the performance of the Martin-Hopkins method compared to the Friedewald formula, focusing on its potential for improvement by applying optimal TG/VLDL-C ratios. Using data from 18,322 individuals in the Korea National Health and Nutrition Examination Survey (KNHANES), we derived strata-specific optimal TG/VLDL-C ratios designed to maximize concordance with directly measured LDL-C values, based on LDL-C categories defined by clinical guidelines. We compared the performance of four LDL-C estimation models: the Friedewald formula (LDL-CF), the original Martin-Hopkins method (LDL-CM-N), and two alternative models that applied TG/VLDL-C ratios derived from our data-one using median values (LDL-CKM-N) and the other using optimal values tailored to each stratum (LDL-CKO-N).

Results: The Martin-Hopkins method showed significantly higher concordance than the Friedewald formula for TG levels < 400 mg/dL (79.6% for LDL-CF vs. 83.2% for LDL-CM-180, p < 0.001). Concordance improved by less than 2% for TG levels < 150 mg/dL (83.3% vs. 84.9%), but by approximately 10% for TG levels of 150-399 mg/dL (68.8% vs. 78.0%). The largest discrepancy was observed in classifying LDL-C levels < 70 mg/dL among individuals with TG levels of 150-399 mg/dL (47.5% for LDL-CF vs. 90.3% for LDL-CM-180). However, the overall concordance differed only modestly between the 10-cell and 180-cell Martin-Hopkins equations (82.8% for LDL-CM-10 vs. 83.2% for LDL-CM-180, a difference of 0.4%), indicating only a marginal benefit despite the substantial increase in the number of strata. Using optimal TG/VLDL-C ratios increased overall concordance compared to median ratios within the same stratification, with LDL-CKO-N estimates outperforming their LDL-CKM-N counterparts. However, this improvement was not statistically significant in LDL-C estimates derived from TG-only stratification.

Conclusions: Applying optimal TG/VLDL-C ratios within the Martin-Hopkins method improves accuracy compared to median ratios, particularly when stratifications incorporate both TG and non-high-density lipoprotein cholesterol (non-HDL-C) levels. This enhancement can be achieved without increasing the number of strata, offering a practical pathway to refine LDL-C estimation while avoiding excessive stratification. Our findings suggest that while median statistics may be sufficient for TG-only stratifications, they do not fully capture optimal TG/VLDL-C ratios for combined TG and non-HDL-C stratifications.

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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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