文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

载脂蛋白 B 正常或高甘油三酯血症患者计算低密度脂蛋白胆固醇的新方程。

A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia.

机构信息

Clinical Center, Department of Laboratory Medicine, National Institutes of Health, Bethesda, Maryland.

Prism Health Dx Inc, Austin, Texas.

出版信息

JAMA Cardiol. 2020 May 1;5(5):540-548. doi: 10.1001/jamacardio.2020.0013.


DOI:10.1001/jamacardio.2020.0013
PMID:32101259
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7240357/
Abstract

IMPORTANCE: Low-density lipoprotein cholesterol (LDL-C), a key cardiovascular disease marker, is often estimated by the Friedewald or Martin equation, but calculating LDL-C is less accurate in patients with a low LDL-C level or hypertriglyceridemia (triglyceride [TG] levels ≥400 mg/dL). OBJECTIVE: To design a more accurate LDL-C equation for patients with a low LDL-C level and/or hypertriglyceridemia. DESIGN, SETTING, AND PARTICIPANTS: Data on LDL-C levels and other lipid measures from 8656 patients seen at the National Institutes of Health Clinical Center between January 1, 1976, and June 2, 1999, were analyzed by the β-quantification reference method (18 715 LDL-C test results) and were randomly divided into equally sized training and validation data sets. Using TG and non-high-density lipoprotein cholesterol as independent variables, multiple least squares regression was used to develop an equation for very low-density lipoprotein cholesterol, which was then used in a second equation for LDL-C. Equations were tested against the internal validation data set and multiple external data sets of either β-quantification LDL-C results (n = 28 891) or direct LDL-C test results (n = 252 888). Statistical analysis was performed from August 7, 2018, to July 18, 2019. MAIN OUTCOMES AND MEASURES: Concordance between calculated and measured LDL-C levels by β-quantification, as assessed by various measures of test accuracy (correlation coefficient [R2], root mean square error [RMSE], mean absolute difference [MAD]), and percentage of patients misclassified at LDL-C treatment thresholds of 70, 100, and 190 mg/dL. RESULTS: Compared with β-quantification, the new equation was more accurate than other LDL-C equations (slope, 0.964; RMSE = 15.2 mg/dL; R2 = 0.9648; vs Friedewald equation: slope, 1.056; RMSE = 32 mg/dL; R2 = 0.8808; vs Martin equation: slope, 0.945; RMSE = 25.7 mg/dL; R2 = 0.9022), particularly for patients with hypertriglyceridemia (MAD = 24.9 mg/dL; vs Friedewald equation: MAD = 56.4 mg/dL; vs Martin equation: MAD = 44.8 mg/dL). The new equation calculates the LDL-C level in patients with TG levels up to 800 mg/dL as accurately as the Friedewald equation does for TG levels less than 400 mg/dL and was associated with 35% fewer misclassifications when patients with hypertriglyceridemia (TG levels, 400-800 mg/dL) were categorized into different LDL-C treatment groups. CONCLUSIONS AND RELEVANCE: The new equation can be readily implemented by clinical laboratories with no additional costs compared with the standard lipid panel. It will allow for more accurate calculation of LDL-C level in patients with low LDL-C levels and/or hypertriglyceridemia (TG levels, ≤800 mg/dL) and thus should improve the use of LDL-C level in cardiovascular disease risk management.

摘要

重要性:低密度脂蛋白胆固醇(LDL-C)是心血管疾病的一个关键标志物,通常通过 Friedewald 或 Martin 方程进行估算,但在 LDL-C 水平较低或高甘油三酯血症(甘油三酯[TG]水平≥400mg/dL)患者中,计算 LDL-C 的准确性较低。

目的:为 LDL-C 水平较低和/或高甘油三酯血症的患者设计更准确的 LDL-C 方程。

设计、设置和参与者:对 1976 年 1 月 1 日至 1999 年 6 月 2 日期间在国立卫生研究院临床中心就诊的 8656 名患者的 LDL-C 水平和其他脂质测量数据进行了分析,使用 β-量化参考方法(18715 个 LDL-C 测试结果)进行了分析,并将其随机分为大小相等的训练和验证数据集。使用 TG 和非高密度脂蛋白胆固醇作为自变量,采用多元最小二乘法回归法开发了极低密度脂蛋白胆固醇方程,然后将其用于 LDL-C 的第二个方程。使用内部验证数据集和多个外部数据集(β-量化 LDL-C 结果[ n=28715]或直接 LDL-C 测试结果[ n=252888])对方程进行了测试。统计分析于 2018 年 8 月 7 日至 2019 年 7 月 18 日进行。

主要结果和测量指标:通过各种准确性测量(相关系数[R2]、均方根误差[RMSE]、平均绝对差[MAD])评估计算的和通过β量化测量的 LDL-C 水平之间的一致性,并评估在 LDL-C 治疗阈值为 70、100 和 190mg/dL 时患者的错误分类百分比。

结果:与β量化相比,新方程比其他 LDL-C 方程更准确(斜率为 0.964;RMSE=15.2mg/dL;R2=0.9648;与 Friedewald 方程相比:斜率为 1.056;RMSE=32mg/dL;R2=0.8808;与 Martin 方程相比:斜率为 0.945;RMSE=25.7mg/dL;R2=0.9022),特别是对于高甘油三酯血症患者(MAD=24.9mg/dL;与 Friedewald 方程相比:MAD=56.4mg/dL;与 Martin 方程相比:MAD=44.8mg/dL)。新方程可以准确计算 TG 水平高达 800mg/dL 的患者的 LDL-C 水平,与 Friedewald 方程在 TG 水平低于 400mg/dL 时一样准确,并且当将高甘油三酯血症(TG 水平为 400-800mg/dL)患者分为不同的 LDL-C 治疗组时,错误分类的患者减少了 35%。

结论和相关性:与标准脂质组相比,新方程可以由临床实验室轻松实施,而且不会增加任何成本。它将能够更准确地计算 LDL-C 水平较低和/或高甘油三酯血症(TG 水平,≤800mg/dL)患者的 LDL-C 水平,从而应改善 LDL-C 水平在心血管疾病风险管理中的应用。

相似文献

[1]
A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia.

JAMA Cardiol. 2020-5-1

[2]
Correlation of extended Martin/Hopkins equation with a direct homogeneous assay in assessing low-density lipoprotein cholesterol in patients with hypertriglyceridemia.

J Clin Lab Anal. 2023-9

[3]
Comparison of Methods to Estimate Low-Density Lipoprotein Cholesterol in Patients With High Triglyceride Levels.

JAMA Netw Open. 2021-10-1

[4]
Comparing a novel equation for calculating low-density lipoprotein cholesterol with the Friedewald equation: A VOYAGER analysis.

Clin Biochem. 2019-2

[5]
Comparison of a novel method vs the Friedewald equation for estimating low-density lipoprotein cholesterol levels from the standard lipid profile.

JAMA. 2013-11-20

[6]
Discordance Between Standard Equations for Determination of LDL Cholesterol in Patients With Atherosclerosis.

J Am Coll Cardiol. 2022-2-15

[7]
Comparison of Low-Density Lipoprotein Cholesterol Assessment by Martin/Hopkins Estimation, Friedewald Estimation, and Preparative Ultracentrifugation: Insights From the FOURIER Trial.

JAMA Cardiol. 2018-8-1

[8]
Comparison of the effectiveness of Martin's equation, Friedewald's equation, and a Novel equation in low-density lipoprotein cholesterol estimation.

Sci Rep. 2021-6-29

[9]
Validation of the Friedewald formula for estimating low density lipoprotein cholesterol: the Korea National Health and Nutrition Examination Survey, 2009 to 2011.

Korean J Intern Med. 2020-1

[10]
Comparison of low-density lipoprotein cholesterol equations in patients with dyslipidaemia receiving cholesterol ester transfer protein inhibition.

Eur Heart J Cardiovasc Pharmacother. 2023-2-2

引用本文的文献

[1]
A Comparison of Novel Serum Markers of Liver Health in Adolescents With Metabolic Dysfunction-Associated Steatotic Liver Disease.

J Cell Mol Med. 2025-8

[2]
Metabolic challenges of glucose and lipid dysregulation in psoriatic arthritis: a narrative review from pathogenesis to clinical practice.

Acta Diabetol. 2025-8-14

[3]
Estimated Small, Dense LDL Cholesterol and Atherosclerotic Cardiovascular Risk in the UK Biobank.

Arterioscler Thromb Vasc Biol. 2025-8-14

[4]
Evaluation of a Simplified Upper Arm Device for Vacuum-Assisted Collection of Capillary Blood Specimens.

Diagnostics (Basel). 2025-7-31

[5]
Treatment with pemafibrate ameliorates fatty liver index and atherogenic lipid profiles in Japanese patients with type 2 diabetes mellitus.

Front Endocrinol (Lausanne). 2025-7-17

[6]
Goal Achievement in 3017 Patients at Very High Cardiovascular Risk Based on Different LDL Cholesterol Calculations and Non-HDL Cholesterol Levels-Shortcomings of the Use of Non-HDL Cholesterol as a Target Depending on Triglyceride Levels.

J Clin Med. 2025-7-15

[7]
Integrating New Technologies in Lipidology: A Comprehensive Review.

J Clin Med. 2025-7-14

[8]
Understanding the causes and consequences of low statin adherence: evidence from UK Biobank primary care data.

BMC Med. 2025-7-22

[9]
Remnant cholesterol in early pregnancy as a predictor of gestational diabetes mellitus beyond triglyceride levels: a retrospective cohort study.

BMC Pregnancy Childbirth. 2025-7-21

[10]
Lipoprotein profiles across a spectrum of insulin signaling.

J Clin Lipidol. 2025-6-24

本文引用的文献

[1]
Systematic Review for the 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Circulation. 2018-11-10

[2]
2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Circulation. 2019-6-18

[3]
Comparison of Low-Density Lipoprotein Cholesterol Assessment by Martin/Hopkins Estimation, Friedewald Estimation, and Preparative Ultracentrifugation: Insights From the FOURIER Trial.

JAMA Cardiol. 2018-8-1

[4]
Quantifying Atherogenic Lipoproteins: Current and Future Challenges in the Era of Personalized Medicine and Very Low Concentrations of LDL Cholesterol. A Consensus Statement from EAS and EFLM.

Clin Chem. 2018-5-14

[5]
Plasma lipid transfer proteins: The role of PLTP and CETP in atherogenesis.

Adv Clin Exp Med. 2018-3

[6]
Discordance between lipoprotein particle number and cholesterol content: an update.

Curr Opin Endocrinol Diabetes Obes. 2018-4

[7]
PCSK9 inhibitors: A new era of lipid lowering therapy.

World J Cardiol. 2017-2-26

[8]
Calculation of LDL-Cholesterol vs. Direct Homogenous Assay.

J Clin Lab Anal. 2017-5

[9]
Triglyceride-Rich Lipoproteins and Atherosclerotic Cardiovascular Disease: New Insights From Epidemiology, Genetics, and Biology.

Circ Res. 2016-2-19

[10]
Determining a new formula for calculating low-density lipoprotein cholesterol: data mining approach.

EXCLI J. 2015-3-26

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索