A machine learning derived echocardiographic algorithm identifies people at risk of heart failure with distinct cardiac structure, function, and response to spironolactone: findings from the HOMAGE trial.

Masatake Kobayashi,Olivier Huttin,João Pedro Ferreira,Kevin Duarte,Arantxa González,Stephane Heymans,Job A J Verdonschot,Hans-Peter Brunner-La Rocca,Pierpaolo Pellicori,Andrew L Clark,Johannes Petutschnigg,Frank Edelmann,John G Cleland,Patrick Rossignol,Faiez Zannad,Nicolas Girerd

European journal of heart failure（2023）

引用 2|浏览35

暂无评分

摘要

In the HOMAGE trial, the e'VM algorithm identified echocardiographic phenotypes with distinct responses to spironolactone as assessed by changes in E/e' and BNP. This article is protected by copyright. All rights reserved.

查看译文

关键词

Heart failure,biomarkers,collagen,echocardiogram,spironolactone

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要