Ideal cardiovascular health influences cardiovascular disease risk associated with high lipoprotein(a) levels and genotype: The EPIC-Norfolk prospective population study

医学 危险系数 心血管健康 体质指数 疾病 比例危险模型 内科学 血压 人口 糖尿病 前瞻性队列研究 史诗 置信区间 环境卫生 内分泌学 文学类 艺术
作者
Nicolas Perrot,Rutger Verbeek,Manjinder S. Sandhu,S. Matthijs Boekholdt,G. Kees Hovingh,Nicholas J. Wareham,Kay‐Tee Khaw,Benoît J. Arsenault
出处
期刊:Atherosclerosis [Elsevier BV]
卷期号:256: 47-52 被引量:84
标识
DOI:10.1016/j.atherosclerosis.2016.11.010
摘要

Lipoprotein(a) (Lp[a]) is a strong genetic risk factor for cardiovascular disease (CVD). The American Heart Association has prioritised seven cardiovascular health metrics to reduce the burden of CVD: body mass index, healthy diet, physical activity, smoking status, blood pressure, diabetes and cholesterol levels (together also known as ideal cardiovascular health). Our objective was to determine if individuals with high Lp(a) levels could derive cardiovascular benefits if characterized by ideal cardiovascular health.A total of 14,051 participants of the EPIC-Norfolk study were stratified according to the cardiovascular health score (based on the number of health metrics with an ideal, intermediate or poor status). Of them, 1732 had a CVD event during a mean follow-up of 11.5 years. Cox proportional hazards models were used to describe the association between the cardiovascular health score and Lp(a) level or genotype (as estimated by the rs10455872 variant) with the risk of CVD.We observed little or no differences in serum Lp(a) levels across the seven cardiovascular health metric categories. Among participants with high serum Lp(a) levels ≥50 mg/dl), those in the highest (i.e. healthiest) cardiovascular health score category (10-14) had an adjusted hazard ratio for cardiovascular disease of 0.33 (95% CI = 0.17-0.63, p = 0.001) compared to participants in the lowest (i.e. unhealthiest) cardiovascular health score category(0-4). Similar results were obtained when we replaced Lp(a) with rs10455872.Although Lp(a) levels are only slightly influenced by cardiovascular health metrics, an ideal cardiovascular health could substantially reduce CVD risk associated with high Lp(a) levels or genotype.

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
张琪发布了新的文献求助10
3秒前
xiao_198发布了新的文献求助10
4秒前
大模型应助kebao采纳,获得10
5秒前
5秒前
5秒前
AAAAL发布了新的文献求助10
6秒前
JamesPei应助shitou6采纳,获得10
7秒前
张延飞发布了新的文献求助10
9秒前
10秒前
852应助LuoYR@SZU采纳,获得10
10秒前
12秒前
热爱学习完成签到,获得积分10
13秒前
14秒前
14秒前
ZYBKYT发布了新的文献求助10
14秒前
Clemence应助梦梦采纳,获得10
17秒前
Lucas应助欣慰钻石采纳,获得10
17秒前
美蓝应助wwwww采纳,获得10
17秒前
无花果应助xyy采纳,获得10
17秒前
dde给fish的求助进行了留言
17秒前
666发布了新的文献求助10
19秒前
xzh完成签到,获得积分10
21秒前
lzy完成签到,获得积分10
21秒前
老h同志完成签到,获得积分10
21秒前
22秒前
22秒前
慕楠完成签到,获得积分10
23秒前
Chemis锌醛完成签到,获得积分10
24秒前
八号仓上半场完成签到,获得积分10
24秒前
wwww发布了新的文献求助10
25秒前
斯文败类应助高xl采纳,获得10
25秒前
老h同志发布了新的文献求助20
26秒前
26秒前
26秒前
俏皮访枫完成签到,获得积分10
26秒前
27秒前
27秒前
张延飞发布了新的文献求助10
29秒前
29秒前
29秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 1500
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 550
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 7510777
求助须知:如何正确求助?哪些是违规求助? 9099219
关于积分的说明 19420525
捐赠科研通 7117670
什么是DOI,文献DOI怎么找? 3252897
关于科研通互助平台的介绍 2421753
邀请新用户注册赠送积分活动 2239257