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
星星完成签到 ,获得积分10
1秒前
1秒前
yunsww完成签到,获得积分10
2秒前
2秒前
天真千凡发布了新的文献求助10
2秒前
bin发布了新的文献求助10
3秒前
小鱼完成签到,获得积分10
3秒前
byby完成签到,获得积分10
3秒前
车车完成签到,获得积分10
3秒前
飞翔的企鹅完成签到,获得积分10
3秒前
平常的雁凡完成签到,获得积分20
3秒前
Shan完成签到 ,获得积分10
4秒前
Faith完成签到,获得积分10
4秒前
朱洪帆发布了新的文献求助10
4秒前
5秒前
6秒前
怡然的岱周完成签到,获得积分10
6秒前
hj123完成签到,获得积分10
6秒前
Sandy完成签到 ,获得积分10
6秒前
雪雨夜心完成签到,获得积分10
6秒前
6秒前
6秒前
小蘑菇应助benny279采纳,获得10
7秒前
认真的可冥完成签到,获得积分10
7秒前
iitj发布了新的文献求助10
7秒前
张阳阳完成签到,获得积分10
8秒前
长颈鹿完成签到 ,获得积分10
8秒前
8秒前
9秒前
9秒前
9秒前
卷卷完成签到,获得积分10
9秒前
10秒前
Wuu完成签到,获得积分10
10秒前
高高从霜完成签到 ,获得积分10
10秒前
10秒前
11秒前
bqk发布了新的文献求助10
11秒前
浩天完成签到,获得积分10
11秒前
高分求助中
Malcolm Fraser : a biography 680
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Organic Reactions Volume 118 400
A Foreign Missionary on the Long March: The Unpublished Memoirs of Arnolis Hayman of the China Inland Mission 400
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 6459319
求助须知:如何正确求助?哪些是违规求助? 8268445
关于积分的说明 17622079
捐赠科研通 5528578
什么是DOI,文献DOI怎么找? 2905911
邀请新用户注册赠送积分活动 1882638
关于科研通互助平台的介绍 1727808