Patterns of left ventricular remodeling post-myocardial infarction, determinants, and outcome

Damien Logeart1,2,3, Yoann Taille4, Geneviève Derumeaux5

  • 1UMR-S 942 MASCOT, Université Paris Cité and Inserm, Paris, France. damien.logeart@aphp.fr.

Insights

Adverse left ventricular remodeling (LVR) after myocardial infarction (MI) is common and linked to poor outcomes. Early hemodynamic factors, not clinical ones, best predict LVR and subsequent risks of death or heart failure.

Area of Science:

  • Cardiology
  • Cardiovascular Research
  • Medical Imaging

Background:

  • Left ventricular remodeling (LVR) post-myocardial infarction (MI) is a significant predictor of adverse cardiac events, including heart failure, arrhythmia, and mortality.
  • Early identification of patients at risk for adverse LVR is crucial for timely intervention and improved patient outcomes.

Purpose of the Study:

  • To characterize adverse LVR patterns at 6 months following MI.
  • To investigate the association between these LVR patterns and subsequent long-term outcomes (death or heart failure).
  • To identify baseline predictors of adverse LVR, particularly using machine learning approaches.

Main Methods:

  • Analysis of a multicenter cohort of 410 patients with reperfused MI and significant left ventricular (LV) wall motion abnormalities.
  • Serial transthoracic echocardiography at 4 days and 6 months post-MI; a subset also underwent cardiac magnetic resonance imaging.
  • Application of machine learning (random forest) to identify predictors of LVR from a comprehensive set of baseline variables.

Main Results:

  • At 6 months post-MI, significant increases in LV end-diastolic volume (LVEDV) (≥15% in 49%, ≥20% in 42%) and LV dysfunction (LVEF <50% in 37%) were frequent.
  • Adverse LVR was best predicted by baseline hemodynamic variables including stroke volume, stroke work, necrosis size, LVEDV, LVEF, and LV afterload (Ea or Ea/Ees), not clinical or biological factors.
  • A >20% increase in LVEDV and LVEF <50% at 6 months were independently associated with increased risk of death and/or heart failure over 5 years (HR 2.12 and 2.68, respectively).

Conclusions:

  • Adverse LVR is a frequent complication after acute MI, even with modern therapies, and carries a substantial risk for death and heart failure.
  • Machine learning effectively identified early hemodynamic parameters as key predictors of adverse LVR.
  • These findings highlight the importance of early hemodynamic assessment for risk stratification and management of post-MI patients.
Abstract