Prognostic Implication of Right Ventricular Hypertrophy in Patients With Hypertrophic Cardiomyopathy

Sun Hwa Hong1, Eun-Ah Park2, Soon Gu Kwak3

  • 1Department of Radiology, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Republic of Korea.

PubMed

Insights

Right ventricular hypertrophy (RVH) detected by cardiac magnetic resonance imaging (CMR) independently predicts adverse events in hypertrophic cardiomyopathy (HCM) patients. Adding RVH to risk models may improve prediction of heart failure hospitalizations and composite events.

Area of Science:

  • Cardiology
  • Cardiovascular Imaging
  • Medical Diagnostics

Background:

  • Hypertrophic cardiomyopathy (HCM) is a genetic heart disease.
  • Risk stratification in HCM is crucial for preventing sudden cardiac death (SCD) and heart failure (HF).
  • The prognostic value of right ventricular hypertrophy (RVH) in HCM requires further evaluation.

Purpose of the Study:

  • To assess the prognostic significance of RVH in HCM patients using cardiac magnetic resonance imaging (CMR).
  • To determine if RVH improves the established 5-year sudden cardiac death (SCD) risk prediction model.

Main Methods:

  • Retrospective study of 320 HCM patients with CMR and echocardiography (2007-2019).
  • RVH defined as right ventricular wall thickness ≥5 mm.
  • Kaplan-Meier, Cox regression, and C-index analyses were used to evaluate RVH's prognostic role and model improvement for HF hospitalization and composite adverse events.

Main Results:

  • 20.1% of patients had RVH.
  • RVH was an independent predictor of HF hospitalization (HR=3.19) and composite adverse events (HR=2.38).
  • Incorporating RVH significantly improved Harrell's C-index for both HF hospitalization (0.606 to 0.688, P=0.033) and composite events (0.641 to 0.727, P=0.030).

Conclusions:

  • CMR-detected RVH is an independent predictor of adverse outcomes in HCM.
  • RVH assessment enhances the predictive performance of conventional risk models for HCM.
  • Routine biventricular assessment in HCM evaluation is recommended.
Abstract

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