Heart failure & cardiomyopathiesMechanistic study

Computational Modelling of Myocardial Metabolism in Patients with Advanced Heart Failure

Eur J Heart FailPublished

  • Mechanistic study
  • two independent cohorts
  • sex- and BMI-matched controls

Authors' conclusion

Computational modelling identified a subset of advanced HF patients with preserved myocardial metabolism despite a similar degree of systolic dysfunction.

Study context

Population
Patients with advanced HF, incl. Left ventricular assist device (LVAD) implantation, and non-failing controls136 cardiac biopsies
Comparison
Advanced HF vs non-failing controls
Outcome
Ability of personalised computational models of myocardial metabolism to assess individual bioenergetic phenotypes and their clinical implications

Main finding

As reported in the abstract

Fatty acid to glucose utilisation ratio associated with reverse cardiac remodelling after LVAD and predictive of LVEF improvement ≥10%: C-index

0.94 [0.81-1.00], p < 0.01

Further findings

System-level simulations

Fatty acid administration and carnitine supplementation (in those with low mitochondrial carnitine content) identified as potential interventions to restore substrate utilisation

Original publication

Computational Modelling of Myocardial Metabolism in Patients with Advanced Heart Failure. Eur J Heart Fail. Published 15 July 2025. doi:10.1002/ejhf.3746

Summarised from the published abstract; every number is checked against it