Longitudinal phenomapping of echocardiograms in HFpEF identified distinct trajectories of cardiac structure and function with different clinical, laboratory, and survival characteristics.
Patients with Heart Failure With Preserved Ejection Fraction (HFpEF)
Deep learning longitudinal phenomapping of echocardiograms
Deep learning-based longitudinal phenomapping of echocardiograms can identify distinct structural and functional trajectories in HFpEF, highlighting its dynamic nature and potentially guiding treatment.
Longitudinal phenomapping resulted in echocardiographic trajectories of cardiac structure and function with different clinical, laboratory, and survival characteristics. HFpEF is a dynamic condition, and longitudinal phenomapping may improve trajectory characterization and guide treatment strategies.
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Erick Romero
Hitalo Oliveira da Silva
Padmini Sirish
JACC Advances
University of California, Davis
University of California Davis Medical Center
SBH Behavioral Health
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Romero et al. (Wed,) reported a other. Longitudinal phenomapping of echocardiograms in HFpEF identified distinct trajectories of cardiac structure and function with different clinical, laboratory, and survival characteristics.
www.synapsesocial.com/papers/69bf86ecf665edcd009e9128 — DOI: https://doi.org/10.1016/j.jacadv.2026.102659