Clinical value of a comprehensive clinical- and echocardiography-based risk score on predicting cardiovascular outcomes in ischemic heart failure patients with reduced ejection fraction

医学 射血分数 内科学 列线图 心脏病学 弗雷明翰风险评分 心力衰竭 比例危险模型 回顾性队列研究 疾病
作者
Dan Liu,Kai Hu,C. Shaun Wagner,Björn Lengenfelder,Georg Ertl,Stefan Frantz,Peter Nordbeck
出处
期刊:Clinical Research in Cardiology [Springer Nature]
标识
DOI:10.1007/s00392-024-02399-1
摘要

Abstract Aims The present study aimed to develop a comprehensive clinical- and echocardiography-based risk score for predicting cardiovascular (CV) adverse outcomes in patients with ischemic heart failure (IHF) and reduced left ventricular ejection fraction (LVEF). Methods This retrospective cohort study included 1341 hospitalized patients with IHF and LVEF < 50% at our hospital from 2009 to 2017. Cox regression models and nomogram were utilized to develop a comprehensive prediction model (C&E risk score) for CV mortality and CV-related events (hospitalization or death). Results Over a median 26-month follow-up, CV mortality and CV events rates were 17.4% and 40.9%, respectively. The C&E risk score, incorporating both clinical and echocardiographic factors, demonstrated superior predictive performance for CV outcomes compared to models using only clinical or echocardiographic factors. Internal validation confirmed the stable predictive ability of the C&E risk score, with an AUC of 0.740 (95% CI 0.709–0.775, P < 0.001) for CV mortality and an AUC of 0.678 (95% CI 0.642–0.696, P < 0.001) for CV events. Patients were categorized into low-, intermediate-, and high-risk based on the C&E risk score, with progressively increasing CV mortality (5.3% vs. 14.6% vs. 31.9%, P < 0.001) and CV events (28.8% vs. 38.2% vs. 55.0%, P < 0.001). External validation also confirmed the risk score’s prognostic efficacy within additional IHF patient datasets. Conclusion This study establishes and validates the novel C&E risk score as a reliable tool for predicting CV outcomes in IHF patients with reduced LVEF. The risk score holds potential for enhancing risk stratification and guiding clinical decision-making for high-risk patients. Graphical abstract
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
JamesPei应助TZ采纳,获得10
1秒前
1秒前
3秒前
传奇3应助WJH采纳,获得10
3秒前
Owen应助背后的果汁采纳,获得10
3秒前
朱一龙完成签到,获得积分10
4秒前
geoyuan完成签到,获得积分10
4秒前
时冬冬应助欣喜的新波采纳,获得20
4秒前
慕青应助dpy4462采纳,获得10
4秒前
5秒前
凝不凝完成签到,获得积分10
5秒前
桐桐应助热心市民余先生采纳,获得10
5秒前
5秒前
rain123发布了新的文献求助10
5秒前
Hello应助春曙为最采纳,获得10
6秒前
7秒前
7秒前
7秒前
9秒前
ding应助凝不凝采纳,获得10
10秒前
qq596发布了新的文献求助10
10秒前
YanDongXu完成签到 ,获得积分10
11秒前
11秒前
科研小陈完成签到,获得积分10
11秒前
斯文谷秋发布了新的文献求助50
11秒前
hhhhaasnajs应助工大机械采纳,获得10
12秒前
Maga发布了新的文献求助10
12秒前
Herrily完成签到,获得积分10
12秒前
FJ完成签到,获得积分10
12秒前
悦子完成签到,获得积分10
13秒前
Sylvia发布了新的文献求助10
13秒前
ziyue发布了新的文献求助10
14秒前
14秒前
14秒前
15秒前
蝉时雨完成签到,获得积分10
15秒前
笨蛋小章完成签到 ,获得积分10
16秒前
1111应助xubee采纳,获得10
16秒前
zhoull完成签到 ,获得积分10
17秒前
高分求助中
Handbook of Fuel Cells, 6 Volume Set 1666
求助这个网站里的问题集 1000
Floxuridine; Third Edition 1000
Tracking and Data Fusion: A Handbook of Algorithms 1000
La décision juridictionnelle 800
Rechtsphilosophie und Rechtstheorie 800
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 内科学 物理 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 冶金 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2865318
求助须知:如何正确求助?哪些是违规求助? 2471990
关于积分的说明 6701754
捐赠科研通 2161168
什么是DOI,文献DOI怎么找? 1148036
版权声明 585407
科研通“疑难数据库(出版商)”最低求助积分说明 564026