Superko Harold, Garrett Brenda
Cholesterol, Genetics, and Heart Disease Institute, Carmel, CA 93923, USA.
Biomedicines. 2022 Apr 1;10(4):829. doi: 10.3390/biomedicines10040829.
Residual cardiovascular disease event risk, following statin use and low-density lipoprotein cholesterol (LDL-C) reduction, remains an important and common medical conundrum. Identifying patients with significant residual risk, despite statin drug use, is an unmet clinical need. One pathophysiologic disorder that contributes to residual risk is abnormal distribution in lipoprotein size and density, which is referred to as lipoprotein heterogeneity. Differences in low density lipoprotein (LDL) composition and size have been linked to coronary heart disease (CHD) risk and arteriographic disease progression. The clinical relevance has been investigated in numerous trials since the 1950s. Despite this long history, controversy remains regarding the clinical utility of LDL heterogeneity measurement. Recent clinical trial evidence reinforces the relevance of LDL heterogeneity measurement and the impact on CHD risk prediction and outcomes. The determination of LDL subclass distribution improves CHD risk prediction and guides appropriate treatment.
在使用他汀类药物并降低低密度脂蛋白胆固醇(LDL-C)后,残留的心血管疾病事件风险仍然是一个重要且常见的医学难题。尽管使用了他汀类药物,但识别出具有显著残留风险的患者仍是一项未满足的临床需求。导致残留风险的一种病理生理紊乱是脂蛋白大小和密度的异常分布,即脂蛋白异质性。低密度脂蛋白(LDL)组成和大小的差异与冠心病(CHD)风险及动脉造影疾病进展有关。自20世纪50年代以来,已在众多试验中对其临床相关性进行了研究。尽管有这么长的历史,但关于LDL异质性测量的临床实用性仍存在争议。最近的临床试验证据强化了LDL异质性测量的相关性及其对CHD风险预测和结局的影响。LDL亚类分布的测定可改善CHD风险预测并指导适当的治疗。