Left ventricular geometry predicts ventricular tachyarrhythmia in patients with left ventricular systolic

Shiro Nakamori1, Haisam Ismail1, Long H Ngo1

  • 1Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA, 02215, USA.

Insights

Left ventricular (LV) sphericity index, measured by cardiovascular magnetic resonance (CMR), predicts ventricular arrhythmias in patients receiving an implantable cardioverter-defibrillator (ICD). Higher sphericity indicates increased risk for appropriate ICD therapy.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Many patients with implantable cardioverter-defibrillators (ICDs) do not utilize their devices, leading to increased healthcare costs and potential patient harm.
  • Predicting which patients will benefit from ICDs is crucial for optimizing their use in primary prevention of sudden cardiac death.

Purpose of the Study:

  • To investigate whether left ventricular (LV) spherical remodeling, assessed by volumetric cardiovascular magnetic resonance (CMR), can predict future ventricular arrhythmias in primary ICD patients with reduced LV ejection fraction (EF).

Main Methods:

  • Sixty-eight patients with LV ejection fraction (LVEF) <35% underwent CMR before ICD implantation.
  • LV sphericity index was calculated as the ratio of LV end-diastolic volume to the volume of a sphere based on LV end-diastolic length.
  • Multivariable Cox's proportional hazard modeling was used to identify predictors of appropriate ICD therapy.

Main Results:

  • Over a median follow-up of 55 months, 22% of patients received appropriate ICD therapy.
  • An increased CMR-derived sphericity index was the strongest independent predictor of appropriate ICD therapy (HR, 1.09; P=.007).
  • A sphericity index ≥0.57 indicated a 4-fold increased hazard risk for appropriate ICD therapy, independent of age and LVEF.

Conclusions:

  • Volumetric CMR-derived LV sphericity index is a significant predictor of ventricular arrhythmias requiring appropriate ICD therapy in primary prevention patients.
  • Combining LV sphericity index, LVEF, and mass index provides incremental prognostic information for these patients.
  • This approach may help refine patient selection for ICD implantation, improving device utilization and patient outcomes.
Abstract