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
1秒前
Abhinesh发布了新的文献求助10
1秒前
李健的粉丝团团长应助Wqq采纳,获得10
1秒前
英姑应助fan采纳,获得10
2秒前
caihong1完成签到,获得积分10
3秒前
3秒前
所所应助morina9301采纳,获得10
3秒前
4秒前
qq发布了新的文献求助200
4秒前
周周发布了新的文献求助10
4秒前
4秒前
5秒前
xsm发布了新的文献求助10
6秒前
6秒前
drsquall发布了新的文献求助10
6秒前
47完成签到 ,获得积分10
7秒前
7秒前
8秒前
Xinxxx发布了新的文献求助30
8秒前
8秒前
SCL987654321发布了新的文献求助10
10秒前
斯文败类应助MM采纳,获得10
10秒前
11秒前
衾L完成签到,获得积分20
12秒前
12秒前
五条悟完成签到,获得积分10
12秒前
111wdy发布了新的文献求助10
12秒前
wangm发布了新的文献求助10
13秒前
Link发布了新的文献求助50
15秒前
科研通AI6.2应助臧广润采纳,获得10
15秒前
衾L发布了新的文献求助10
16秒前
morina9301发布了新的文献求助10
17秒前
HeT完成签到,获得积分10
17秒前
Wangjingxuan完成签到,获得积分10
17秒前
不忘初心完成签到,获得积分10
18秒前
18秒前
tiptip应助周周采纳,获得10
19秒前
19秒前
清爽的谷菱完成签到,获得积分10
19秒前
19秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 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
Tanning Chemistry: The Science of Leather (2nd Edition) 2000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
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 7261223
求助须知:如何正确求助?哪些是违规求助? 8883011
关于积分的说明 18771884
捐赠科研通 6940934
什么是DOI,文献DOI怎么找? 3202161
关于科研通互助平台的介绍 2375557
邀请新用户注册赠送积分活动 2177868