Predicting 1-, 3- and 5-year outcomes in patients with coronary artery disease: A comparison of available risk assessment scores

医学 内科学 冠状动脉疾病 心脏病学 弗雷明翰风险评分 风险评估 疾病 计算机科学 计算机安全
作者
Monika Zdanytė,Robin W. Wrazidlo,Sarah Kaltenbach,Patrick Groga‐Bada,Meinrad Gawaz,Tobias Geisler,Dominik Rath
出处
期刊:Atherosclerosis [Elsevier BV]
卷期号:318: 1-7 被引量:10
标识
DOI:10.1016/j.atherosclerosis.2020.12.007
摘要

Background and aims Thromboischemic and bleeding events are rare but life-threatening complications after percutaneous coronary intervention (PCI). Various risk assessment models have been established to predict short- and long-term adverse events in patients with chronic and acute coronary syndromes (CCS, ACS). The aim of the present study was to compare available risk assessment systems based on their performance in identifying high-risk patients with symptomatic coronary artery disease (CAD). Methods We enrolled 1565 consecutive patients with symptomatic CAD (n = 821 CCS, n = 744 ACS). CALIBER, DAPT, GRACE 2.0, PARIS-CTE, PARIS-MB, PRECISE-DAPT and PREDICT-STABLE scores were calculated in appropriate patient subgroups. All patients were followed-up for 1, 3 and 5 years for all-cause death (ACD), myocardial infarction (MI), ischemic stroke (IS) and bleeding. The primary combined ischemic endpoint (CE) consisted of ACD, MI and/or IS. Secondary endpoints were defined as single occurrence of either ACD, MI, IS, or bleeding. Results GRACE 2.0 score showed good discrimination performance (AUC>0.7) for CE in a 3- and 5-year follow-up. CALIBER, GRACE 2.0 and PARIS-CTE showed best performance (AUC>0.7) in predicting ACD throughout the follow-up, whereas IS was best predicted by PARIS-CTE and CALIBER scores. None of the scores performed well (AUC>0.7) in predicting MI or bleeding. Conclusions In a consecutive German CAD cohort, CALIBER, GRACE 2.0 and PARIS-CTE scores performed best in predicting CE, ACD and/or IS whereas none of the selected scores could predict MI and bleeding efficiently.

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
水风清处发布了新的文献求助10
刚刚
yc发布了新的文献求助10
2秒前
2秒前
cyll发布了新的文献求助10
2秒前
zhangpeng完成签到,获得积分10
2秒前
pxy发布了新的文献求助10
3秒前
小Q发布了新的文献求助10
4秒前
4秒前
在水一方应助不安问晴采纳,获得10
4秒前
研友_VZG7GZ应助清晨的小鹿采纳,获得10
4秒前
科研通AI6.4应助superyang采纳,获得10
5秒前
Owen应助Andrew采纳,获得10
6秒前
6秒前
6秒前
彭于晏应助憨憨采纳,获得10
7秒前
JamesPei应助小北采纳,获得10
7秒前
任性的友桃完成签到 ,获得积分10
8秒前
song完成签到,获得积分10
10秒前
11秒前
烟花应助MMMM采纳,获得10
13秒前
14秒前
Halo发布了新的文献求助30
14秒前
15秒前
鳗鱼元风应助复杂海采纳,获得10
15秒前
星辰大海应助小Q采纳,获得10
16秒前
yurihuang发布了新的文献求助10
16秒前
研友_VZG7GZ应助yc采纳,获得10
16秒前
16秒前
17秒前
xin11发布了新的文献求助10
18秒前
春见发布了新的文献求助30
19秒前
19秒前
哈哈哈哈发布了新的文献求助10
20秒前
rsd发布了新的文献求助10
21秒前
infinity发布了新的文献求助10
21秒前
深情安青应助pxy采纳,获得10
21秒前
21秒前
21秒前
从容的萤发布了新的文献求助30
24秒前
大个应助机智跳跳糖采纳,获得10
24秒前
高分求助中
(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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777229
求助须知:如何正确求助?哪些是违规求助? 9318314
关于积分的说明 20363610
捐赠科研通 7364312
什么是DOI,文献DOI怎么找? 3318873
关于科研通互助平台的介绍 2466526
邀请新用户注册赠送积分活动 2334092