Predicting 1-year heart failure hospitalization and mortality post-discharge from the intensive cardiac care unit.

IF 3.2 2区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Andreas Bugge Tinggaard, Solenn Toupin, Jean Guillaume Dillinger, Clément Delmas, Antonin Trimaille, Claire Bouleti, Guillaume Schurtz, Charles Fauvel, Jean Claude Dib, Stéphane Andrieu, François Roubille, Thomas Levasseur, Guillaume Bonnet, Marouane Boukhris, Thomas Bochaton, Vincent Roule, Laura Delsarte, Albert Boccara, Franck Albert, Franck Boccara, Etienne Puymirat, Henrik Wiggers, Alexandre Mebazaa, Alain Cohen-Solal, Benjamin G Chousterman, Patrick Henry, Théo Pezel
{"title":"Predicting 1-year heart failure hospitalization and mortality post-discharge from the intensive cardiac care unit.","authors":"Andreas Bugge Tinggaard, Solenn Toupin, Jean Guillaume Dillinger, Clément Delmas, Antonin Trimaille, Claire Bouleti, Guillaume Schurtz, Charles Fauvel, Jean Claude Dib, Stéphane Andrieu, François Roubille, Thomas Levasseur, Guillaume Bonnet, Marouane Boukhris, Thomas Bochaton, Vincent Roule, Laura Delsarte, Albert Boccara, Franck Albert, Franck Boccara, Etienne Puymirat, Henrik Wiggers, Alexandre Mebazaa, Alain Cohen-Solal, Benjamin G Chousterman, Patrick Henry, Théo Pezel","doi":"10.1002/ehf2.15140","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Despite the high risk of rehospitalization for heart failure (HF) and death among patients admitted to the intensive cardiac care unit (ICCU), no accurate prediction score for these outcomes exists. We aimed to develop a risk score to predict unplanned HF hospitalization and death 1-year post-discharge in an unselected cohort of patients admitted to the ICCU.</p><p><strong>Methods: </strong>Based on a national, multicentre study, we included all consecutive patients admitted to the ICCUs in 39 French centres from 7 to 22 April 2021. We randomly selected a training cohort of 21 centres (n = 1008) to develop the ICCU-HF score and a validation cohort of eight other centres (n = 463). The primary composite outcome was unplanned hospitalization for HF and cardiovascular death at 1-year follow-up after discharge. Using the score, patients were stratified into three risk groups to evaluate the prognostic value.</p><p><strong>Results: </strong>Using a least absolute shrinkage and selection operator (LASSO) regression approach, we identified seven predictors: left ventricular ejection fraction, significant valvular disease grade 2+, Killip score >1, NT-proBNP, creatinine level, previous ventricular arrhythmia and use of inotropes during hospitalization. In 1471 patients (63 ± 15 years, 70% men), 99 (6.7%) experienced the primary outcome. The ICCU-HF score outperformed NT-proBNP, the strongest individual predictor (area under the curve [AUC] 0.77, 95% CI [0.71-0.83] vs. AUC 0.72, 95% CI [0.66-0.79], P = 0.008), demonstrating excellent performance with an AUC of 0.83 (95% CI: 0.77-0.89) to predict outcomes in the validation cohort. Compared with the low-risk group, the intermediate-risk and high-risk groups had significantly higher risks of the composite outcome (HR 4.09, 95% CI [2.23-7.50], P < 0.001 and 12.69, 95% CI [7.02-22.95], P < 0.001), proving strong risk stratification capability of the ICCU-HF score.</p><p><strong>Conclusions: </strong>The ICCU-HF score showed good performance in predicting the 1-year risk of unplanned HF hospitalization and death in a large cohort of unselected patients admitted to the ICCU, with excellent results in the validation cohort. This score effectively stratifies patients into risk groups, enhancing its utility in clinical decision-making.</p>","PeriodicalId":11864,"journal":{"name":"ESC Heart Failure","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESC Heart Failure","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ehf2.15140","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Aims: Despite the high risk of rehospitalization for heart failure (HF) and death among patients admitted to the intensive cardiac care unit (ICCU), no accurate prediction score for these outcomes exists. We aimed to develop a risk score to predict unplanned HF hospitalization and death 1-year post-discharge in an unselected cohort of patients admitted to the ICCU.

Methods: Based on a national, multicentre study, we included all consecutive patients admitted to the ICCUs in 39 French centres from 7 to 22 April 2021. We randomly selected a training cohort of 21 centres (n = 1008) to develop the ICCU-HF score and a validation cohort of eight other centres (n = 463). The primary composite outcome was unplanned hospitalization for HF and cardiovascular death at 1-year follow-up after discharge. Using the score, patients were stratified into three risk groups to evaluate the prognostic value.

Results: Using a least absolute shrinkage and selection operator (LASSO) regression approach, we identified seven predictors: left ventricular ejection fraction, significant valvular disease grade 2+, Killip score >1, NT-proBNP, creatinine level, previous ventricular arrhythmia and use of inotropes during hospitalization. In 1471 patients (63 ± 15 years, 70% men), 99 (6.7%) experienced the primary outcome. The ICCU-HF score outperformed NT-proBNP, the strongest individual predictor (area under the curve [AUC] 0.77, 95% CI [0.71-0.83] vs. AUC 0.72, 95% CI [0.66-0.79], P = 0.008), demonstrating excellent performance with an AUC of 0.83 (95% CI: 0.77-0.89) to predict outcomes in the validation cohort. Compared with the low-risk group, the intermediate-risk and high-risk groups had significantly higher risks of the composite outcome (HR 4.09, 95% CI [2.23-7.50], P < 0.001 and 12.69, 95% CI [7.02-22.95], P < 0.001), proving strong risk stratification capability of the ICCU-HF score.

Conclusions: The ICCU-HF score showed good performance in predicting the 1-year risk of unplanned HF hospitalization and death in a large cohort of unselected patients admitted to the ICCU, with excellent results in the validation cohort. This score effectively stratifies patients into risk groups, enhancing its utility in clinical decision-making.

预测心脏重症监护病房1年心力衰竭住院率和出院后死亡率。
目的:尽管入住心脏重症监护病房(ICCU)的患者因心力衰竭(HF)和死亡再次住院的风险很高,但目前还没有准确的预测评分。我们的目的是建立一个风险评分来预测非计划的心衰住院和出院后1年的死亡。方法:基于一项全国性的多中心研究,我们纳入了2021年4月7日至22日在法国39个中心连续入住重症监护病房的所有患者。我们随机选择了21个中心的培训队列(n = 1008)来制定ICCU-HF评分,并随机选择了8个其他中心的验证队列(n = 463)。主要综合结局为出院后1年随访时因心衰而非计划住院和心血管死亡。根据评分,将患者分为三个危险组,评估预后价值。结果:使用最小绝对收缩和选择算子(LASSO)回归方法,我们确定了七个预测因素:左室射血分数、显著瓣膜疾病2+级、Killip评分>.1、NT-proBNP、肌酐水平、既往室性心律失常和住院期间使用肌力药物。在1471例患者(63±15岁,70%男性)中,99例(6.7%)出现了主要结局。ICCU-HF评分优于NT-proBNP,后者是最强的个体预测因子(曲线下面积[AUC] 0.77, 95% CI [0.71-0.83] vs. AUC 0.72, 95% CI [0.66-0.79], P = 0.008),在预测验证队列结果方面表现出色,AUC为0.83 (95% CI: 0.77-0.89)。与低危组相比,中危组和高危组的综合结局风险显著高于低危组(HR 4.09, 95% CI [2.23-7.50], P)。结论:在大量未选择入住ICCU的患者中,ICCU-HF评分在预测1年非计划HF住院和死亡风险方面表现良好,在验证队列中效果良好。该评分有效地将患者划分为风险组,提高了其在临床决策中的效用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
ESC Heart Failure
ESC Heart Failure Medicine-Cardiology and Cardiovascular Medicine
CiteScore
7.00
自引率
7.90%
发文量
461
审稿时长
12 weeks
期刊介绍: ESC Heart Failure is the open access journal of the Heart Failure Association of the European Society of Cardiology dedicated to the advancement of knowledge in the field of heart failure. The journal aims to improve the understanding, prevention, investigation and treatment of heart failure. Molecular and cellular biology, pathology, physiology, electrophysiology, pharmacology, as well as the clinical, social and population sciences all form part of the discipline that is heart failure. Accordingly, submission of manuscripts on basic, translational, clinical and population sciences is invited. Original contributions on nursing, care of the elderly, primary care, health economics and other specialist fields related to heart failure are also welcome, as are case reports that highlight interesting aspects of heart failure care and treatment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信