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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.
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.
Objective:
To evaluate the prognostic significance of right ventricular hypertrophy (RVH) in patients with hypertrophic cardiomyopathy (HCM) using cardiac magnetic resonance imaging (CMR) and to assess its incremental value when incorporated into the established 5-year sudden cardiac death (SCD) risk prediction model.
Materials And Methods:
This retrospective study included 320 patients with HCM who underwent CMR and echocardiography between 2007 and 2019. RVH was defined as a right ventricular wall thickness of ≥5 mm. The primary event was heart failure (HF) hospitalization. The secondary events were a composite of HF hospitalization, cardiovascular death, and heart transplantation. The prognostic role of RVH was assessed using Kaplan-Meier survival analysis, Cox proportional hazards regression, and model performance metrics, including time-dependent receiver operating characteristic curve analysis for a 5-year follow-up and Harrell's C-index.
Results:
Among 320 patients (mean age 57.5 ± 12.8 years; 66.3% men), 65 (20.1%) had RVH. Over a median follow-up of 7.7 years, 28 (8.8%) patients experienced HF hospitalization, and 34 (10.6%) experienced composite adverse events. In multivariable Cox models, RVH was an independent predictor of both events: HF hospitalization (hazard ratio [HR] = 3.19, 95% confidence interval [CI] = 1.23-8.28, P = 0.017) and the composite events (HR = 2.38, 95% CI = 1.01-5.64, P = 0.048). Incorporating RVH into the 5-year SCD risk model increased the time-dependent area under the curve, though not significant, from 0.620 to 0.725 for HF hospitalization (P = 0.057) and from 0.712 to 0.848 for composite events (P = 0.062). Harrell's C-index improved significantly from 0.606 to 0.688 (P = 0.033) and from 0.641 to 0.727 (P = 0.030), respectively.
Conclusion:
CMR-detected RVH independently predicts adverse events in patients with HCM. Incorporating RVH into a conventional risk model may enhance its predictive performance, supporting the importance of routine biventricular assessments in HCM evaluation.
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