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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.

Authors :
Kobayashi M
Huttin O
Ferreira JP
Duarte K
González A
Heymans S
Verdonschot JAJ
Brunner-La Rocca HP
Pellicori P
Clark AL
Petutschnigg J
Edelmann F
Cleland JG
Rossignol P
Zannad F
Girerd N
Source :
European journal of heart failure [Eur J Heart Fail] 2023 Aug; Vol. 25 (8), pp. 1284-1289. Date of Electronic Publication: 2023 Apr 26.
Publication Year :
2023

Abstract

Aim: An echocardiographic algorithm derived by machine learning (e'VM) characterizes pre-clinical individuals with different cardiac structure and function, biomarkers, and long-term risk of heart failure (HF). Our aim was the external validation of the e'VM algorithm and to explore whether it may identify subgroups who benefit from spironolactone.<br />Methods and Results: The HOMAGE (Heart OMics in AGEing) trial enrolled participants at high risk of developing HF randomly assigned to spironolactone or placebo over 9 months. The e'VM algorithm was applied to 416 participants (mean age 74 ± 7 years, 25% women) with available echocardiographic variables (i.e. e' mean, left ventricular end-diastolic volume and mass indexed by body surface area [LVMi]). The effects of spironolactone on changes in echocardiographic and biomarker variables were assessed across e'VM phenotypes. A majority (>80%) had either a 'diastolic changes' (D), or 'diastolic changes with structural remodelling' (D/S) phenotype. The D/S phenotype had the highest LVMi, left atrial volume, E/e', natriuretic peptide and troponin levels (all p < 0.05). Spironolactone significantly reduced E/e' and B-type natriuretic peptide (BNP) levels in the D/S phenotype (p < 0.01), but not in other phenotypes (p > 0.10; p <subscript>interaction</subscript>  <0.05 for both). These interactions were not observed when considering guideline-recommended echocardiographic structural and functional abnormalities. The magnitude of effects of spironolactone on LVMi, left atrial volume and a type I collagen marker was numerically higher in the D/S phenotype than the D phenotype but the interaction test did not reach significance.<br />Conclusions: 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.<br /> (© 2023 The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)

Details

Language :
English
ISSN :
1879-0844
Volume :
25
Issue :
8
Database :
MEDLINE
Journal :
European journal of heart failure
Publication Type :
Academic Journal
Accession number :
37062878
Full Text :
https://doi.org/10.1002/ejhf.2859