Global longitudinal active strain energy density (GLASED): a powerful prognostic marker in a community-based cohort.

IF 6.7 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS European Heart Journal - Cardiovascular Imaging Pub Date : 2024-09-30 DOI:10.1093/ehjci/jeae133
Nay Aung, David H MacIver, Henggui Zhang, Sucharitha Chadalavada, Steffen E Petersen
{"title":"Global longitudinal active strain energy density (GLASED): a powerful prognostic marker in a community-based cohort.","authors":"Nay Aung, David H MacIver, Henggui Zhang, Sucharitha Chadalavada, Steffen E Petersen","doi":"10.1093/ehjci/jeae133","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Identifying the imaging method that best predicts all-cause mortality, cardiovascular adverse events, and heart failure risk is crucial for tailoring optimal management. Potential prognostic markers include left ventricular (LV) myocardial mass, ejection fraction, myocardial strain, stroke work, contraction fraction, pressure-strain product, and a new measurement called global longitudinal active strain density (GLASED). This study sought to compare the utility of 23 potential LV prognostic markers of structure and contractile function in a community-based cohort.</p><p><strong>Methods and results: </strong>The impact of cardiovascular magnetic resonance image-derived markers extracted by machine learning algorithms was compared with the future risk of adverse events in a group of 44 957 UK Biobank participants. Most markers, including the LV ejection fraction, have limited prognostic value. GLASED was significantly associated with all-cause mortality and major adverse cardiovascular events, with the largest hazard ratio, highest ranking, and differentiated risk in all three tertiles (P ≤ 0.0003).</p><p><strong>Conclusion: </strong>GLASED predicted all-cause mortality and major cardiovascular adverse events better than conventional markers of risk and is recommended for assessing patient prognosis.</p>","PeriodicalId":12026,"journal":{"name":"European Heart Journal - Cardiovascular Imaging","volume":" ","pages":"1405-1414"},"PeriodicalIF":6.7000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11441035/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Heart Journal - Cardiovascular Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/ehjci/jeae133","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Aims: Identifying the imaging method that best predicts all-cause mortality, cardiovascular adverse events, and heart failure risk is crucial for tailoring optimal management. Potential prognostic markers include left ventricular (LV) myocardial mass, ejection fraction, myocardial strain, stroke work, contraction fraction, pressure-strain product, and a new measurement called global longitudinal active strain density (GLASED). This study sought to compare the utility of 23 potential LV prognostic markers of structure and contractile function in a community-based cohort.

Methods and results: The impact of cardiovascular magnetic resonance image-derived markers extracted by machine learning algorithms was compared with the future risk of adverse events in a group of 44 957 UK Biobank participants. Most markers, including the LV ejection fraction, have limited prognostic value. GLASED was significantly associated with all-cause mortality and major adverse cardiovascular events, with the largest hazard ratio, highest ranking, and differentiated risk in all three tertiles (P ≤ 0.0003).

Conclusion: GLASED predicted all-cause mortality and major cardiovascular adverse events better than conventional markers of risk and is recommended for assessing patient prognosis.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
全球纵向活性应变能量密度(GLASED):基于社区的队列中强有力的预后标记。
背景:确定最能预测全因死亡率、心血管不良事件和心力衰竭风险的成像方法对于制定最佳治疗方案至关重要。潜在的预后指标包括左心室心肌质量、射血分数、心肌应变、每搏功、收缩分数、压力-应变乘积和一种称为全球纵向主动应变密度(GLASED)的新测量方法:本研究试图在社区队列中比较 23 种潜在的左心室结构和收缩功能预后标志物的实用性:方法:比较了机器学习算法提取的心血管磁共振图像标记物对44957名英国生物库参与者未来不良事件风险的影响:包括左心室射血分数在内的大多数标记物的预后价值有限。GLASED与全因死亡率和主要不良心血管事件有明显相关性,在所有三个梯度中,其危险比最大、排名最高、风险有差异(P≤0.0003):GLASED对全因死亡率和主要心血管不良事件的预测优于传统的风险指标,建议用于评估患者的预后。
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 去求助
来源期刊
European Heart Journal - Cardiovascular Imaging
European Heart Journal - Cardiovascular Imaging CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
11.60
自引率
9.70%
发文量
708
审稿时长
4-8 weeks
期刊介绍: European Heart Journal – Cardiovascular Imaging is a monthly international peer reviewed journal dealing with Cardiovascular Imaging. It is an official publication of the European Association of Cardiovascular Imaging, a branch of the European Society of Cardiology. The journal aims to publish the highest quality material, both scientific and clinical from all areas of cardiovascular imaging including echocardiography, magnetic resonance, computed tomography, nuclear and invasive imaging. A range of article types will be considered, including original research, reviews, editorials, image focus, letters and recommendation papers from relevant groups of the European Society of Cardiology. In addition it provides a forum for the exchange of information on all aspects of cardiovascular imaging.
期刊最新文献
Coronary-pulmonary collateral as major pulmonary blood sources in Tetralogy of Fallot with absent left pulmonary artery. Multiple pseudoaneurysms caused by Brucella infection. Accuracy of left ventricular mechanical dyssynchrony indices for mechanical characteristics of left bundle branch block using cardiovascular magnetic resonance feature tracking. Alarming Complication: Chest Compression-induced Right Ventricular Lead Perforation. Accurate prediction of systolic peak-to-peak gradient in children with pulmonary valve stenosis.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1