Prediction of 10-Year Cardiovascular Disease Risk, by Diabetes status and Lipoprotein-a levels; the HellenicSCORE II+

医学 置信区间 内科学 糖尿病 逻辑回归 人口 血压 优势比 体质指数 人口学 内分泌学 环境卫生 社会学
作者
Demosthenes B. Panagiotakos,Christina Chrysohoou,Christos Pitsavos,Konstantinos Tsioufis
出处
期刊:Hellenic Journal of Cardiology [Elsevier BV]
卷期号:79: 3-14 被引量:4
标识
DOI:10.1016/j.hjc.2023.10.001
摘要

The aim of this study was to develop an updated model to predict10-year cardiovascular disease (CVD) risk for Greek adults, i.e., the HellenicSCORE II+, based on smoking, systolic blood pressure (SBP), total and High-Density-Lipoprotein-(HDL) cholesterol levels, and stratified by age group, sex, history of diabetes, and Lipoprotein (Lp)-a levels. Individual CVD risk scores were calculated through logit-function models, using the beta-coefficients derived from SCORE2. The Attica Study data were used for the calibration (3,042 participants, aged 45(14) years; 49.1% men). Discrimination ability of the HellenicSCORE II+ was assessed using C-index (range 0-1), adjusted for competing risks. The mean HellenicSCORE II+ score was 6.3% (95% Confidence Interval (CI) 5.9% to 6.6%) for men and 3.7% (95% CI 3.5% to 4.0%) for women (p<0.001), and were higher compared to the relevant SCORE2; 23.5% of men were classified as low risk, 40.2% as moderate and 36.3% as high risk, whereas the corresponding percentages for women were 56.2%, 18.6% and 25.2%. C-statistic index was 0.88 for women and 0.79 for men, when the HellenicSCORE II+ was applied to the ATTICA Study data, suggesting very good accuracy. Stratified analysis by Lp(a) levels led to a 4% improvement in correct classification among participants with high Lp(a). HellenicSCORE II+ values were higher than SCORE2, confirming that the Greek population is at moderate-to-high CVD risk. Stratification by Lp(a) levels may assist to better identify individuals at high CVD risk.

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
小陈发布了新的文献求助10
刚刚
叶雪发布了新的文献求助10
1秒前
YKT完成签到,获得积分10
2秒前
3秒前
共享精神应助唠叨的轩轩采纳,获得10
3秒前
Clay完成签到,获得积分10
5秒前
6秒前
聪慧凡双完成签到,获得积分10
6秒前
AllRightReserved应助chutai采纳,获得10
9秒前
聪慧凡双发布了新的文献求助30
9秒前
10秒前
科研通AI6.1应助手抓饼啊采纳,获得30
12秒前
小马甲应助噜噜采纳,获得10
12秒前
12秒前
li完成签到,获得积分10
14秒前
杨武天一发布了新的文献求助20
15秒前
蓝天发布了新的文献求助10
17秒前
思源应助柔弱的老三采纳,获得10
17秒前
chutai完成签到,获得积分10
18秒前
带头大哥应助lianliyou采纳,获得50
25秒前
27秒前
molihuakai应助子星采纳,获得10
28秒前
30秒前
Hello应助小二采纳,获得30
33秒前
33秒前
molihuakai应助Chloeee_采纳,获得10
33秒前
33秒前
34秒前
wq发布了新的文献求助10
34秒前
omo关注了科研通微信公众号
36秒前
37秒前
常青完成签到,获得积分10
37秒前
39秒前
WALLE发布了新的文献求助10
40秒前
42秒前
Christyshan发布了新的文献求助10
43秒前
45秒前
子星发布了新的文献求助10
46秒前
46秒前
林初一完成签到 ,获得积分10
48秒前
高分求助中
Signals, Systems, and Signal Processing 610
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Circular Polar Constellations Providing Continuous Single or Multiple Coverage Above a Specified Latitude 400
Burger's Medicinal Chemistry and Drug Discovery 400
Probability and Stochastic Processes 333
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6746590
求助须知:如何正确求助?哪些是违规求助? 8476563
关于积分的说明 18079484
捐赠科研通 6019248
什么是DOI,文献DOI怎么找? 3005147
邀请新用户注册赠送积分活动 1981923
关于科研通互助平台的介绍 1948628