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2026-06-11 PubMed

Genotype Independently Predicts Heart Failure in Hypertrophic Cardiomyopathy Patients, Beyond LVEF and NT-proBNP

Genotype Predicts Heart Failure Independent of LVEF, Peak VO2, and NT-proBNP Levels in Hypertrophic Cardiomyopathy.

Background

Hypertrophic cardiomyopathy (HCM) is a prevalent genetic heart disorder characterized by left ventricular hypertrophy and a significant risk of progression to heart failure (HF). While approximately 40% of HCM cases are linked to variants in sarcomere protein genes, current clinical predictors like left ventricular ejection fraction (LVEF), peak VO2, and N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels don't fully capture individual HF risk. There's a critical need for more precise risk stratification tools to identify HCM patients most vulnerable to HF, enabling earlier and more targeted interventions.

Study Design

This observational, single-center cohort study enrolled 505 genotyped HCM patients (median age 52 years, 33% women). Patients were categorized into gene-positive (G+) and gene-elusive (G-) groups based on genetic testing for sarcomere variants. The primary endpoint was a composite of HF-related death or cardiac transplantation. Secondary endpoints included cardiac death, arrhythmic events, and all-cause mortality. Researchers utilized proportional hazards models to evaluate the independent predictive value of genetic status, log-transformed NT-proBNP levels, peak VO2, and LVEF for these outcomes.

Results

During a median follow-up of 10.6 years, 34 patients (6.7%) experienced the primary outcome (HF-related death: 22 [4.4%]; heart transplantation: 12 [2.4%]). The HF endpoint occurred in 12.8% (28 of 219) of the G+ group, significantly higher than the 2.1% (6 of 286) observed in the G- group. In multivariable Cox analysis, G+ status emerged as a powerful independent predictor of HF outcomes.

G+ status demonstrated a hazard ratio (HR) of 5.86 (95% CI: 2.26-15.25; P < 0.001) for HF-related death or cardiac transplantation. Other factors independently associated with HF outcomes included log NT-proBNP (HR: 2.46; 95% CI: 1.59-3.80; P < 0.001), peak VO2 (HR: 0.90; 95% CI: 0.82-0.98; P < 0.001), and LVEF (HR: 0.74 per 5% increment; 95% CI: 0.63-0.86; P < 0.001). For secondary endpoints, 60 patients (11.9%) died of cardiac causes, 34 (6.7%) experienced arrhythmic events, and 115 (22.8%) died of any cause.

Key Findings

  • Gene-positive (G+) status independently predicted HF outcomes in HCM patients (HR: 5.86, P < 0.001).
  • The HF endpoint occurred in 12.8% of the G+ group vs. 2.1% of the G- group.
  • Log NT-proBNP (HR: 2.46), peak VO2 (HR: 0.90), and LVEF (HR: 0.74 per 5% increment) also independently predicted HF outcomes.
  • Genetic status provides predictive power for HF outcomes in HCM beyond traditional clinical markers.

Why It Matters

Genotype offers a powerful, early risk stratification tool for HCM patients, complementing existing clinical markers. This finding suggests that genetic testing should be integrated into comprehensive risk assessments for HCM, moving beyond traditional indicators like LVEF and NT-proBNP. Identifying high-risk, gene-positive individuals earlier could enable personalized monitoring strategies, more aggressive medical management, or timely consideration for advanced therapies like cardiac transplantation, potentially delaying or preventing the progression to severe heart failure. This could significantly impact patient management protocols, shifting towards a more genetically informed approach in HCM care.


hypertrophic cardiomyopathy heart failure genetics risk stratification observational study cardiac health
Source: pubmed:42268168 · Ingested 2026-06-11 · Digest: gemini-2.5-flash