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降低低密度脂蛋白的策略:目标、最大化与人群百分位。

Low-density lipoprotein-lowering strategies: target versus maximalist versus population percentile.

机构信息

Mike Rosenbloom Laboratory for Cardiovascular Research, McGill University Health Centre, Montreal, Quebec, Canada.

出版信息

Curr Opin Cardiol. 2012 Jul;27(4):405-11. doi: 10.1097/HCO.0b013e328353fed5.

Abstract

PURPOSE OF REVIEW

Maximalist low-density lipoprotein (LDL)-lowering strategies such as lowering LDL as much as possible or, alternatively, using the most potent LDL-lowering regimens have become increasingly popular. Almost all attention has focused on the potential advantages of these approaches with little focus on their potential disadvantages. Moreover, it is increasingly assumed that the lower and lower is better and better approach is supported by unassailable evidence.

RECENT FINDINGS

This article will examine how strongly the findings of the statin clinical trials actually support the maximalist strategy. We will also introduce a new approach, the population percentile strategy, which is based on the fact that the amount of cholesterol in LDL can differ substantially. When cholesterol-depleted LDL particles are present, LDL cholesterol (LDL-C) underestimates apolipoprotein B (apoB) and LDL particle number. Statins lower LDL-C and nonhigh-density lipoprotein cholesterol (non-HDL-C) more than they lower apoB and LDL particle number. This means that, even if LDL-C, non-HDL-C and apoB are equal markers of on-treatment risk, apoB is a better marker of the adequacy of LDL-lowering therapy.

SUMMARY

Our analysis indicates that the LDL-lowering regimen should be tailored to the individual using a population percentile strategy to ensure the greatest number of patients receive the greatest overall benefit. With this approach, apoB is the best marker of the adequacy of LDL-lowering therapy.

摘要

目的综述

最大限度降低低密度脂蛋白(LDL)的策略,如尽可能降低 LDL,或者使用最有效的 LDL 降低方案,越来越受到关注。几乎所有的注意力都集中在这些方法的潜在优势上,而很少关注它们的潜在缺点。此外,人们越来越认为,越低越好的方法是有确凿证据支持的。

最近的发现

本文将探讨他汀类药物临床试验的结果实际上在多大程度上支持最大程度的策略。我们还将介绍一种新的方法,即人群百分位策略,该策略基于 LDL 中的胆固醇量可能有很大差异的事实。当胆固醇耗尽的 LDL 颗粒存在时,LDL 胆固醇(LDL-C)会低估载脂蛋白 B(apoB)和 LDL 颗粒数。他汀类药物降低 LDL-C 和非高密度脂蛋白胆固醇(非-HDL-C)的效果要大于降低 apoB 和 LDL 颗粒数。这意味着,即使 LDL-C、非-HDL-C 和 apoB 是治疗后风险的相等标志物,apoB 也是 LDL 降低治疗充分性的更好标志物。

总结

我们的分析表明,应根据个体情况采用人群百分位策略来调整 LDL 降低方案,以确保尽可能多的患者获得最大的整体获益。通过这种方法,apoB 是 LDL 降低治疗充分性的最佳标志物。

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