Abstract 4345914: Right Ventricular Role in Heart Failure of Mildly Symptomatic and Asymptomatic Patients with Obstructive Hypertrophic Cardiomyopathy

Background: Heart failure (HF) is the most common complication in patients with obstructive hypertrophic cardiomyopathy (oHCM), significantly impairing quality of life and prognosis. In asymptomatic or mildly symptomatic patients, reliable markers for HF progression are lacking. Early identification could improve counseling and support timely consideration of gradient-reducing therapies. Although potentially important, the role of the right ventricle (RV) in HF progression in oHCM remains poorly understood. This study evaluated RV parameters by cardiac magnetic resonance (CMR) as early predictors of HF risk beyond conventional metrics in oHCM. Methods: In a multi-center cohort of 3134 patients with HCM who underwent CMR between 2003 and 2023, we identified 771 mildly or asymptomatic (NYHA I/II) patients with oHCM, rest or provoked gradients ≥30 mmHg, LVEF ≥50%, and no prior septal reduction therapy (SRT). CMR-derived biventricular volumes were indexed to BSA, LGE was manually quantified. The primary outcome was a composite “HF Event”: progression to NYHA Class III/IV, SRT, new LVEF<50%, HF-related death, or heart transplantation. To further investigate predictors of newly emerging HF symptoms, a secondary analysis was performed in the subgroup of 347 asymptomatic patients (NYHA class I), using the composite endpoint “HF Progression”: new HF symptoms (NYHA class ≥II), SRT, new LVEF<50%, HF-related death, or heart transplantation. Uni and multivariable Cox regression analyses were performed, and Kaplan–Meier plots visualize the prognostic relevance of RV stroke volume index (SVI) at an optimal cutoff determined by Youden’s index. Results: Over a mean follow-up of 3.6±3.0 years, 216 (28%) patients experienced HF Events. These patients were older, more often female, had higher BMI and outflow gradients, more intense medical treatment, and smaller RV volumes and RVSVI ( Table 1 ). In regression analyses, lower RVSVI emerged as an independent predictor of HF Events ( Figure 1A ). Among asymptomatic patients, 98 (28%) experienced HF Progression over a mean follow-up of 4.0±3.0years. Female sex, atrial fibrillation, and lower RVSVI were independent predictors of HF progression in this subgroup ( Figure 1B ). Conclusion: In oHCM patients with no or mild symptoms, lower RVSVI emerged as an independent predictor of future HF symptoms and adverse HF events. These findings highlight the underrecognized prognostic relevance of the RV in oHCM.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4345914
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4345914: Right Ventricular Role in Heart Failure of Mildly Symptomatic and Asymptomatic Patients with Obstructive Hypertrophic Cardiomyopathy

Warren J. Manning, Amine Amyar, Ethan J. Rowin, Alexander Schulz et al.
Circulation
Cardiomyopathy and Myosin Studies
article

Abstract 4345914: Right Ventricular Role in Heart Failure of Mildly Symptomatic and Asymptomatic Patients with Obstructive Hypertrophic Cardiomyopathy

Warren J. Manning, Amine Amyar, Ethan J. Rowin, Alexander Schulz, Reza Nezafat, Martin S. Maron, Lily Peng
article en

Abstract

Background: Heart failure (HF) is the most common complication in patients with obstructive hypertrophic cardiomyopathy (oHCM), significantly impairing quality of life and prognosis. In asymptomatic or mildly symptomatic patients, reliable markers for HF progression are lacking. Early identification could improve counseling and support timely consideration of gradient-reducing therapies. Although potentially important, the role of the right ventricle (RV) in HF progression in oHCM remains poorly understood. This study evaluated RV parameters by cardiac magnetic resonance (CMR) as early predictors of HF risk beyond conventional metrics in oHCM. Methods: In a multi-center cohort of 3134 patients with HCM who underwent CMR between 2003 and 2023, we identified 771 mildly or asymptomatic (NYHA I/II) patients with oHCM, rest or provoked gradients ≥30 mmHg, LVEF ≥50%, and no prior septal reduction therapy (SRT). CMR-derived biventricular volumes were indexed to BSA, LGE was manually quantified. The primary outcome was a composite “HF Event”: progression to NYHA Class III/IV, SRT, new LVEF<50%, HF-related death, or heart transplantation. To further investigate predictors of newly emerging HF symptoms, a secondary analysis was performed in the subgroup of 347 asymptomatic patients (NYHA class I), using the composite endpoint “HF Progression”: new HF symptoms (NYHA class ≥II), SRT, new LVEF<50%, HF-related death, or heart transplantation. Uni and multivariable Cox regression analyses were performed, and Kaplan–Meier plots visualize the prognostic relevance of RV stroke volume index (SVI) at an optimal cutoff determined by Youden’s index. Results: Over a mean follow-up of 3.6±3.0 years, 216 (28%) patients experienced HF Events. These patients were older, more often female, had higher BMI and outflow gradients, more intense medical treatment, and smaller RV volumes and RVSVI ( Table 1 ). In regression analyses, lower RVSVI emerged as an independent predictor of HF Events ( Figure 1A ). Among asymptomatic patients, 98 (28%) experienced HF Progression over a mean follow-up of 4.0±3.0years. Female sex, atrial fibrillation, and lower RVSVI were independent predictors of HF progression in this subgroup ( Figure 1B ). Conclusion: In oHCM patients with no or mild symptoms, lower RVSVI emerged as an independent predictor of future HF symptoms and adverse HF events. These findings highlight the underrecognized prognostic relevance of the RV in oHCM.

CirculationVol. 152(Suppl_3)
Lahey Hospital and Medical Center (US), Harvard University (US)
Openalex Percentile: Top 51%
Cardiomyopathy and Myosin Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.