An equation for calculating small dense low-density lipoprotein cholesterol.

IF 3.9 2区医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Lipids in Health and Disease Pub Date : 2024-11-08 DOI:10.1186/s12944-024-02345-0

Tianjiao Han, Zhe Piao, Zhiguo Yu, Wanqi Xu, Xiaofeng Cui

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Abstract

Objective: Small dense low-density lipoprotein cholesterol (sdLDL-C), as an emerging atherogenic factor of cardiovascular diseases, requires additional tests. We aimed to establish a sdLDL-C equation using standard lipid profile and evaluate its capacity of identifying the residual cardiovascular risk beyond LDL-C and apolipoprotein B (ApoB).

Methods: This cross-sectional study included 25 435 participants from Health Management Cohort and 11 628 participants from China Health and Retirement Longitudinal Study (CHARLS) to construct and evaluate the sdLDL-C equation by least-squares regression model. The equation for sdLDL-C depended on low-density lipoprotein cholesterol (LDL-C) and an interaction term between LDL-C and the natural log of triglycerides (TG).

Results: The modified equation (sdLDL-C = 0.14*ln(TG)*LDL-C - 0.45*LDL-C + 10.88) was more accurate than the original equation in validation set (slope = 0.783 vs. 0.776, MAD = 5.228 vs. 5.396). Using the 80th percentile (50 mg/dL) as a risk-enhancer rule for sdLDL-C, accuracy of the modified equation was higher than the original equation in validation set (90.47% vs. 89.73%). The estimated sdLDL-C identified an additional proportion of high-risk individuals in BHMC (4.93%) and CHARLS (1.84%).

Conclusion: The newly developed equation in our study provided an accurate tool for estimating sdLDL-C level among the Chinese population as a potential cardiovascular risk-enhancer.

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计算小密度低密度脂蛋白胆固醇的方程。

目的：小密度低密度脂蛋白胆固醇（sdLDL-C）是一种新出现的心血管疾病致动脉粥样硬化因素，需要进行额外的检测。我们旨在利用标准血脂谱建立一个小密度低密度脂蛋白胆固醇方程，并评估其识别低密度脂蛋白胆固醇和载脂蛋白 B（ApoB）之外的残余心血管风险的能力：这项横断面研究纳入了25 435名健康管理队列参与者和11 628名中国健康与退休纵向研究（CHARLS）参与者，通过最小二乘回归模型构建并评估了sdLDL-C方程。sdLDL-C方程取决于低密度脂蛋白胆固醇（LDL-C）和LDL-C与甘油三酯（TG）自然对数之间的交互项：在验证集中，修正方程（sdLDL-C = 0.14*ln(TG)*LDL-C - 0.45*LDL-C + 10.88）比原始方程更准确（斜率 = 0.783 vs. 0.776，MAD = 5.228 vs. 5.396）。将第 80 百分位数（50 毫克/分升）作为 sdLDL-C 的风险增强规则，在验证集中，修正方程的准确性高于原始方程（90.47% 对 89.73%）。估计的 sdLDL-C 在 BHMC（4.93%）和 CHARLS（1.84%）中识别出了额外比例的高危人群：结论：我们研究中新开发的方程为估计中国人群中作为潜在心血管风险增加因素的 sdLDL-C 水平提供了一个准确的工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Lipids in Health and Disease 生物-生化与分子生物学

CiteScore

7.70

自引率

2.20%

发文量

122

审稿时长

3-8 weeks

期刊介绍： Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds. Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.