29Apr 2023
Machine learning-based echocardiographic algorithm identifies cardiac subgroups responsive to spironolactone in HOMAGE trial

Machine learning-based echocardiographic algorithm identifies cardiac subgroups responsive to spironolactone in HOMAGE trial

The study aimed to validate an echocardiographic algorithm derived by machine learning (e′VM) and explore whether it can identify subgroups of individuals who benefit from spironolactone. Most participants had either a 'diastolic changes' or 'diastolic changes with structural remodelling' phenotype. Spironolactone significantly reduced certain biomarkers in the 'diastolic changes with structural remodelling' phenotype but not in other phenotypes. The e′VM algorithm may help identify individuals who will benefit from spironolactone.

  • #cardiology

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