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风险预测中的脂质与脂蛋白

Lipids and Lipoproteins in Risk Prediction.

作者信息

Hadjiphilippou Savvas, Ray Kausik K

机构信息

Department of Primary Care and Public Health, School of Public Health, Imperial College, Imperial Centre for Cardiovascular Disease Prevention, Reynolds Building, St. Dunstan's Road, London W6 8RP, UK.

Department of Primary Care and Public Health, School of Public Health, Imperial College, Imperial Centre for Cardiovascular Disease Prevention, Reynolds Building, St. Dunstan's Road, London W6 8RP, UK.

出版信息

Cardiol Clin. 2018 May;36(2):213-220. doi: 10.1016/j.ccl.2017.12.002.

Abstract

Ischemic heart disease remains the leading cause of death worldwide. Low-density lipoprotein cholesterol (LDL-C) has proved to have a causal relationship with atherosclerotic cardiovascular disease. Lowering LDL-C improves outcomes, although some patients continue to have residual risk of cardiovascular disease. Cardiovascular risk prediction calculators are routinely used in to identify patients most at risk. Research into other lipoprotein factors has suggested that they may have advantages over LDL-C and improve the ability to identify those most at risk. Although some technology is not widely available, there is potential for better risk prediction in specific groups.

摘要

缺血性心脏病仍然是全球主要的死亡原因。低密度脂蛋白胆固醇(LDL-C)已被证明与动脉粥样硬化性心血管疾病存在因果关系。降低LDL-C可改善预后,尽管一些患者仍有残留的心血管疾病风险。心血管疾病风险预测计算器通常用于识别风险最高的患者。对其他脂蛋白因素的研究表明,它们可能比LDL-C更具优势,并能提高识别高风险人群的能力。尽管一些技术尚未广泛应用,但在特定人群中进行更好的风险预测仍具有潜力。

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