• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

急性失代偿性心力衰竭患者不可逆性心脏功能恶化预测模型的开发与验证

Development and Validation of a Prediction Model for Irreversible Worsened Cardiac Function in Patients With Acute Decompensated Heart Failure.

作者信息

Wang Lei, Zhao Yun-Tao

机构信息

Department of Cardiology, Aerospace Center Hospital, Beijing, China.

出版信息

Front Cardiovasc Med. 2021 Dec 10;8:785587. doi: 10.3389/fcvm.2021.785587. eCollection 2021.

DOI:10.3389/fcvm.2021.785587
PMID:34957263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8702716/
Abstract

Irreversible worsening of cardiac function is an adverse event associated with significant morbidity among patients with acute decompensated heart failure (ADHF). We aimed to develop a parsimonious model which is simple to use in clinical settings for the prediction of the risk of irreversible worsening of cardiac function. A total of 871 ADHF patients were enrolled in this study. Data for each patient were collected from the medical records. Irreversible worsening of cardiac function included cardiac death within 30-days of patient hospitalization, implantation of a left ventricular assistance device, or emergency heart transplantation. We performed LASSO regression for variable selection to derive a multivariable logistic regression model. Five candidate predictors were selected to derive the final prediction model. The prediction model was verified using C-statistics, calibration curve, and decision curve. Irreversible worsening of cardiac function occurred in 7.8% of the patients. Advanced age, NYHA class, high blood urea nitrogen, hypoalbuminemia, and vasopressor use were its strongest predictors. The prediction model showed good discrimination C-statistic value, 0.866 (95% CI, 0.817-0.907), which indicated good identical calibration and clinical efficacy. In this study, we developed a prediction model and nomogram to estimate the risk of irreversible worsening of cardiac function among ADHF patients. The findings may provide a reference for clinical physicians for detection of irreversible worsening of cardiac function and enable its prompt management.

摘要

心脏功能的不可逆恶化是急性失代偿性心力衰竭(ADHF)患者中与显著发病率相关的不良事件。我们旨在开发一种简约模型,该模型在临床环境中易于使用,用于预测心脏功能不可逆恶化的风险。本研究共纳入871例ADHF患者。从病历中收集每位患者的数据。心脏功能的不可逆恶化包括患者住院30天内的心脏死亡、植入左心室辅助装置或紧急心脏移植。我们进行了LASSO回归以进行变量选择,从而得出多变量逻辑回归模型。选择五个候选预测因子以得出最终预测模型。使用C统计量、校准曲线和决策曲线对预测模型进行验证。7.8%的患者出现了心脏功能的不可逆恶化。高龄、纽约心脏协会(NYHA)分级、高血尿素氮、低白蛋白血症和使用血管升压药是其最强的预测因子。预测模型显示出良好的区分度C统计量值,为0.866(95%CI,0.817 - 0.907),这表明具有良好的校准一致性和临床疗效。在本研究中,我们开发了一种预测模型和列线图,以估计ADHF患者心脏功能不可逆恶化的风险。这些发现可能为临床医生检测心脏功能的不可逆恶化提供参考,并使其能够及时进行处理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecaf/8702716/a875a6060032/fcvm-08-785587-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecaf/8702716/e1e6308aae57/fcvm-08-785587-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecaf/8702716/b4076e7c984c/fcvm-08-785587-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecaf/8702716/a875a6060032/fcvm-08-785587-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecaf/8702716/e1e6308aae57/fcvm-08-785587-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecaf/8702716/b4076e7c984c/fcvm-08-785587-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecaf/8702716/a875a6060032/fcvm-08-785587-g0003.jpg

相似文献

1
Development and Validation of a Prediction Model for Irreversible Worsened Cardiac Function in Patients With Acute Decompensated Heart Failure.急性失代偿性心力衰竭患者不可逆性心脏功能恶化预测模型的开发与验证
Front Cardiovasc Med. 2021 Dec 10;8:785587. doi: 10.3389/fcvm.2021.785587. eCollection 2021.
2
Development and Validation of a Prediction Model for Acute Kidney Injury Among Patients With Acute Decompensated Heart Failure.急性失代偿性心力衰竭患者急性肾损伤预测模型的开发与验证
Front Cardiovasc Med. 2021 Nov 15;8:719307. doi: 10.3389/fcvm.2021.719307. eCollection 2021.
3
Construction of risk prediction model for hyponatremia in patients with acute decompensated heart failure.构建急性失代偿性心力衰竭患者低钠血症风险预测模型。
BMC Cardiovasc Disord. 2023 Oct 26;23(1):520. doi: 10.1186/s12872-023-03557-5.
4
Development and validation of a risk model for in-hospital worsening heart failure from the Acute Decompensated Heart Failure National Registry (ADHERE).基于急性失代偿性心力衰竭国家注册研究(ADHERE)的院内心力衰竭病情恶化风险模型的开发与验证
Am Heart J. 2016 Aug;178:198-205. doi: 10.1016/j.ahj.2016.04.021. Epub 2016 Jun 9.
5
Development and Validation of a Nomogram to Predict the 180-Day Readmission Risk for Chronic Heart Failure: A Multicenter Prospective Study.预测慢性心力衰竭180天再入院风险列线图的开发与验证:一项多中心前瞻性研究
Front Cardiovasc Med. 2021 Sep 7;8:731730. doi: 10.3389/fcvm.2021.731730. eCollection 2021.
6
The ADHF/NT-proBNP risk score to predict 1-year mortality in hospitalized patients with advanced decompensated heart failure.ADHF/NT-proBNP 风险评分预测晚期失代偿性心力衰竭住院患者 1 年死亡率。
J Heart Lung Transplant. 2014 Apr;33(4):404-11. doi: 10.1016/j.healun.2013.12.005. Epub 2013 Dec 16.
7
A novel discharge risk model for patients hospitalised for acute decompensated heart failure incorporating N-terminal pro-B-type natriuretic peptide levels: a European coLlaboration on Acute decompeNsated Heart Failure: ELAN-HF Score.纳入 N 末端脑利钠肽前体水平的急性失代偿性心力衰竭患者新型出院风险模型:急性失代偿性心力衰竭的欧洲合作:ELAN-HF 评分。
Heart. 2014 Jan;100(2):115-25. doi: 10.1136/heartjnl-2013-303632. Epub 2013 Oct 31.
8
Predicting short-term mortality in advanced decompensated heart failure - role of the updated acute decompensated heart failure/N-terminal pro-B-type natriuretic Peptide risk score.预测晚期失代偿性心力衰竭的短期死亡率——更新后的急性失代偿性心力衰竭/N末端B型利钠肽原风险评分的作用。
Circ J. 2015;79(5):1076-83. doi: 10.1253/circj.CJ-14-1219. Epub 2015 Mar 3.
9
Development and Validation of a Risk Score for Prediction of Acute Kidney Injury in Patients With Acute Decompensated Heart Failure: A Prospective Cohort Study in China.开发并验证中国急性失代偿性心力衰竭患者急性肾损伤预测风险评分:一项前瞻性队列研究。
J Am Heart Assoc. 2016 Nov 16;5(11):e004035. doi: 10.1161/JAHA.116.004035.
10
A prediction model for major adverse cardiovascular events in patients with heart failure based on high-throughput echocardiographic data.基于高通量超声心动图数据的心力衰竭患者主要不良心血管事件预测模型。
Front Cardiovasc Med. 2022 Oct 28;9:1022658. doi: 10.3389/fcvm.2022.1022658. eCollection 2022.

引用本文的文献

1
Atherogenic index of plasma: a new indicator for assessing the short-term mortality of patients with acute decompensated heart failure.血浆致动脉粥样硬化指数:评估急性失代偿性心力衰竭患者短期死亡率的新指标。
Front Endocrinol (Lausanne). 2024 Jun 10;15:1393644. doi: 10.3389/fendo.2024.1393644. eCollection 2024.
2
Construction of a web-based dynamic nomogram for predicting the prognosis in acute heart failure.构建基于网络的动态列线图预测急性心力衰竭预后。
ESC Heart Fail. 2023 Aug;10(4):2248-2261. doi: 10.1002/ehf2.14371. Epub 2023 Apr 19.
3
A prediction model for major adverse cardiovascular events in patients with heart failure based on high-throughput echocardiographic data.

本文引用的文献

1
Clinical and Social Risk Adjustment - Reconsidering Distinctions.临床与社会风险调整——重新审视差异
N Engl J Med. 2020 Apr 23;382(17):1581-1583. doi: 10.1056/NEJMp1913993.
2
Calculating the sample size required for developing a clinical prediction model.计算开发临床预测模型所需的样本量。
BMJ. 2020 Mar 18;368:m441. doi: 10.1136/bmj.m441.
3
In-depth mining of clinical data: the construction of clinical prediction model with R.临床数据的深度挖掘:使用R构建临床预测模型。
基于高通量超声心动图数据的心力衰竭患者主要不良心血管事件预测模型。
Front Cardiovasc Med. 2022 Oct 28;9:1022658. doi: 10.3389/fcvm.2022.1022658. eCollection 2022.
4
Development and Validation of a Novel Nomogram to Predict Improved Left Ventricular Ejection Fraction in Patients With Heart Failure After Successful Percutaneous Coronary Intervention for Chronic Total Occlusion.一种新型列线图的开发与验证,用于预测慢性完全闭塞性冠心病经皮冠状动脉介入治疗成功后心力衰竭患者左心室射血分数的改善情况。
Front Cardiovasc Med. 2022 Apr 14;9:864366. doi: 10.3389/fcvm.2022.864366. eCollection 2022.
Ann Transl Med. 2019 Dec;7(23):796. doi: 10.21037/atm.2019.08.63.
4
Sex Differences in New York Heart Association Functional Classification and Survival in Acute Heart Failure Patients With Preserved or Reduced Ejection Fraction.纽约心脏协会心功能分级与射血分数保留或降低的急性心力衰竭患者生存的性别差异。
Can J Cardiol. 2020 Jan;36(1):30-36. doi: 10.1016/j.cjca.2019.08.020. Epub 2019 Aug 21.
5
Incidence and implications of acute kidney injury in patients hospitalized with acute decompensated heart failure.急性失代偿性心力衰竭住院患者急性肾损伤的发生率及影响。
Intern Emerg Med. 2020 Apr;15(3):421-428. doi: 10.1007/s11739-019-02188-z. Epub 2019 Nov 4.
6
20-year trends in cause-specific heart failure outcomes by sex, socioeconomic status, and place of diagnosis: a population-based study.20 年来按性别、社会经济地位和诊断地点划分的特定病因心力衰竭结局的趋势:一项基于人群的研究。
Lancet Public Health. 2019 Aug;4(8):e406-e420. doi: 10.1016/S2468-2667(19)30108-2.
7
Heart Failure Association of the European Society of Cardiology practical guidance on the use of natriuretic peptide concentrations.欧洲心脏病学会心力衰竭协会关于利钠肽浓度检测的临床应用实践指南
Eur J Heart Fail. 2019 Jun;21(6):715-731. doi: 10.1002/ejhf.1494.
8
PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies.PROBAST:一种用于评估偏倚风险和预测模型研究适用性的工具。
Ann Intern Med. 2019 Jan 1;170(1):51-58. doi: 10.7326/M18-1376.
9
Validation of U.S. mortality prediction models for hospitalized heart failure in the United Kingdom and Japan.验证美国住院心力衰竭死亡率预测模型在英国和日本的适用性。
Eur J Heart Fail. 2018 Aug;20(8):1179-1190. doi: 10.1002/ejhf.1210. Epub 2018 May 30.
10
In-hospital worsening heart failure: a clinically relevant endpoint?院内恶化的心力衰竭:一个临床相关的终点吗?
ESC Heart Fail. 2018 Feb;5(1):9-18. doi: 10.1002/ehf2.12195. Epub 2017 Jul 18.