Establishment and validation of a prediction model for nonrecovery of left ventricular ejection fraction in acute myocardial infarction patients combined with decreased left ventricular ejection fraction

Author:

Yang Yang1ORCID,Dong You Zheng1ORCID,Hou An Xue1,Liu De Ping1,He Jin Wu1,Chen Jun Ye1,Jiang Xing Hua1

Affiliation:

1. Department of Cardiology The Second Affiliated Hospital of Nanchang University Nanchang Jiangxi China

Abstract

AbstractBackgroundThis study aimed to investigate the risk factors for nonrecovery of left ventricular ejection fraction (LVEF) during follow‐up in patients with acute myocardial infarction (AMI) who underwent percutaneous coronary intervention (PCI) combined with reduced LVEF, and establish and verify a risk prediction model based on these factors.MethodsIn this study, patients with AMI who underwent PCI in a high‐volume PCI center between December 2018 and December 2021 were consecutively enrolled, screened, and randomly assigned to the model establishment and validation cohorts. A predictive model method based on least absolute shrinkage and selection operator regression was used for establishment and validation.ResultsCardiac troponin I, myoglobin, left ventricular end‐diastolic dimension, multivessel disease, and no‐reflow were identified as potential predictors of LVEF recovery failure. The areas under the curve were 0.703 and 0.665 in the model establishment and validation cohorts, respectively, proving that the prediction model had some predictive ability. The calibration curves of the two cohorts showed good agreement with those of the nomogram model. In addition, the decision curve analysis showed that the model had a net clinical benefit.ConclusionThis prediction model can assess the risk of nonrecovery of LVEF in patients with AMI undergoing PCI combined with LVEF reduction during follow‐up, and conveniently screen high‐risk patients with nonrecoverable LVEF early.

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine,General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3