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核磁共振脂质谱的临床相关性

Clinical Relevance of Nuclear Magnetic Resonance LipoProfile.

作者信息

Emeasoba Emmanuel U, Ibeson Emeka, Nwosu Ifeanyi, Montemarano Nadine, Shani Jacob, Shetty Vijay S

机构信息

Department of Medicine, Maimonides Medical Center, New York, NY, United States.

Heart and Vascular Institute, Maimonides Medical Center, New York, NY, United States.

出版信息

Front Nucl Med. 2022 Jul 13;2:960522. doi: 10.3389/fnume.2022.960522. eCollection 2022.

DOI:10.3389/fnume.2022.960522
PMID:39354981
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11440956/
Abstract

Identifying risk factors for cardiovascular diseases in patients is key to reducing their resulting morbidity and mortality. Currently, risk factors are assessed using parameters that include and emphasize the role of the level of cholesterol carried by lipoproteins. Most providers focus on targeting cholesterol levels in patient management. However, recent research shows that lipoprotein particle number is more predictive of cardiovascular risk than cholesterol levels. The Nuclear Magnetic Resonance (NMR) LipoProfile test assesses the number of lipoprotein particles, sizes of lipoproteins, levels of cholesterol, and patient risk categories. Furthermore, it enables the identification of patients with underestimated cardiovascular risks-those with a discordant high number of low-density lipoprotein (LDL) particles (LDL-P) despite low cholesterol levels. While the NMR LipoProfile test requires a higher cost and longer waiting time for results in comparison to the lipid panel test, its advantages cannot be ignored. This review article focuses on exploring the routine use of NMR LipoProfile in clinical practice.

摘要

识别患者心血管疾病的风险因素是降低其发病率和死亡率的关键。目前,风险因素是使用包括并强调脂蛋白携带的胆固醇水平作用的参数来评估的。大多数医疗服务提供者在患者管理中专注于靶向胆固醇水平。然而,最近的研究表明,脂蛋白颗粒数量比胆固醇水平更能预测心血管风险。核磁共振(NMR)脂蛋白谱测试可评估脂蛋白颗粒数量、脂蛋白大小、胆固醇水平和患者风险类别。此外,它能够识别心血管风险被低估的患者,即那些尽管胆固醇水平低但低密度脂蛋白(LDL)颗粒数量高(LDL-P)不一致的患者。虽然与血脂检测相比,NMR脂蛋白谱测试成本更高且等待结果的时间更长,但其优势不容忽视。这篇综述文章重点探讨NMR脂蛋白谱在临床实践中的常规应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9b0/11440956/8bfe0f26e9d4/fnume-02-960522-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9b0/11440956/8bfe0f26e9d4/fnume-02-960522-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d9b0/11440956/8bfe0f26e9d4/fnume-02-960522-g0001.jpg

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