Upfront lipid-lowering combination therapy in high cardiovascular risk patients: a route to effective atherosclerotic cardiovascular disease prevention

以兹提米比 医学 他汀类 疾病 动脉粥样硬化性心血管疾病 内科学 风险因素 重症监护医学 心脏病学
作者
Maciej Banach,Stanisław Surma,Tomasz J Guzik,Peter E. Penson,Michael J. Blaha,Fausto J. Pinto,Laurence Sperling
出处
期刊:Cardiovascular Research [Oxford University Press]
卷期号:121 (6): 851-859 被引量:20
标识
DOI:10.1093/cvr/cvaf045
摘要

Despite three decades of using statin therapy, 20 years of experience with ezetimbe, and availability of innovative non-statin lipid lowering therapies (LLT), there are still about 70% patients over the low-density lipoprotein cholesterol (LDL-C) goal, with every 5th to 6th being over the target from the group of very high and extremely high cardiovascular disease (CVD) risk patients. Adding another even every 5th patient at very high CVD risk without any LLT makes this situation highly frustrating, especially lipid disorders are the most common CVD risk factor with the prevalence of over 60%, with the worst awareness within all cardiovascular risk factors (only about 15% people knows their LDL-C level). To answer this since 2021, there is an approach to apply upfront (immediate) lipid-lowering combination therapy of statin and ezetimibe in very high and extremely high-risk patients to be on the LDL-C target as low as possible, but especially as early as possible, enabling to introduce the third line therapy (i.e. bempedoic acid and/or PCSK9 targeted therapy) already after 4-6 weeks. This review discusses the current stage of knowledge and recent data on the group of patients that might benefit the most from the upfront combination LLT, when it should be optimally implemented, and the recent data on its role on LDL-C reduction, cardiovascular and mortality outcomes as well as safety issues.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
一叶完成签到,获得积分10
1秒前
榴莲发布了新的文献求助20
2秒前
Lay完成签到,获得积分10
2秒前
123345发布了新的文献求助10
4秒前
科研通AI6.2应助toxin采纳,获得30
4秒前
不吃橘子完成签到,获得积分10
5秒前
哈哈哈完成签到 ,获得积分10
9秒前
爆米花应助二胖采纳,获得30
10秒前
oi完成签到,获得积分10
10秒前
edtaa发布了新的文献求助10
10秒前
ding5完成签到,获得积分10
11秒前
romarola完成签到,获得积分10
11秒前
11秒前
友好沛槐完成签到,获得积分10
12秒前
13秒前
CipherSage应助艾七七采纳,获得10
13秒前
YE完成签到,获得积分10
14秒前
火星上的芹菜完成签到,获得积分10
14秒前
oi发布了新的文献求助10
14秒前
14秒前
小二郎应助yangbo666采纳,获得10
15秒前
capx发布了新的文献求助10
17秒前
18秒前
科研通AI6.4应助白衣渡姜采纳,获得30
19秒前
小李发布了新的文献求助10
19秒前
情怀应助袁气奶豆采纳,获得10
20秒前
Eila完成签到,获得积分10
20秒前
21秒前
彭于晏应助123345采纳,获得10
22秒前
谢本手完成签到,获得积分10
22秒前
22秒前
清歌发布了新的文献求助10
22秒前
li074完成签到,获得积分10
23秒前
不安夏青发布了新的文献求助10
25秒前
25秒前
25秒前
大方寄风发布了新的文献求助10
25秒前
vivid发布了新的文献求助10
27秒前
科研通AI6.2应助toxin采纳,获得10
27秒前
27秒前
高分求助中
Les chinois de jakarta: temples et vie collective 1000
Autoparametric Resonance in Mechanical Systems 1000
Social Psychology 800
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7648847
求助须知:如何正确求助?哪些是违规求助? 9221405
关于积分的说明 19794737
捐赠科研通 7214455
什么是DOI,文献DOI怎么找? 3277947
关于科研通互助平台的介绍 2438950
邀请新用户注册赠送积分活动 2276263