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Published on: August 8, 2022
Genotype Predicts Heart Failure Independent of LVEF, Peak VO2, and NT-proBNP Levels in Hypertrophic Cardiomyopathy
Athanasios Bakalakos1, Alexandros Protonotarios1, Menelaos Pavlou2
1Institute of Cardiovascular Science, University College London, London, United Kingdom; Barts Heart Centre, St Bartholomew's Hospital, London, United Kingdom.
Insights
Genetic status significantly impacts heart failure outcomes in hypertrophic cardiomyopathy (HCM). Gene-positive patients face higher risks, highlighting the need for combined genetic and clinical assessments for personalized care.
Area of Science:
- Cardiology
- Genetics
- Biomarkers
Background:
- Hypertrophic cardiomyopathy (HCM) is a genetic myocardial disorder leading to heart failure (HF).
- Genetic variants, particularly in sarcomere protein genes, account for about 40% of HCM cases.
- Understanding genotype-phenotype correlations is crucial for predicting HF progression.
Purpose of the Study:
- To investigate the association between genetic status and clinical predictors of HF outcomes in HCM patients.
- To identify key factors that independently predict adverse HF events in individuals with HCM.
- To explore the combined predictive value of genotype, biomarkers, and functional capacity for HF outcomes.
Main Methods:
- An observational, single-center cohort study of 505 genotyped HCM patients.
- Stratification into gene-positive (G+) and gene-elusive (G-) groups.
- Analysis using proportional hazards models for primary (HF-related death/transplant) and secondary endpoints, considering genetic status, NT-proBNP, peak VO2, and LVEF.
Main Results:
- Gene-positive (G+) HCM patients had a significantly higher incidence of HF-related death or transplantation (12.8%) compared to gene-elusive (G-) patients (2.1%).
- Independent predictors of HF outcomes included G+ status (HR: 5.86), elevated log NT-proBNP (HR: 2.46), reduced peak VO2 (HR: 0.90), and lower LVEF (HR: 0.74 per 5% increment).
- Secondary endpoints revealed significant cardiac mortality (11.9%), arrhythmic events (6.7%), and all-cause mortality (22.8%) over a median follow-up of 10.6 years.
Conclusions:
- Genetic status, peak VO2, log NT-proBNP, and LVEF are independent predictors of HF outcomes in HCM.
- Integrating genetic information with clinical biomarkers and functional assessments can identify high-risk HCM patients.
- This combined approach may guide targeted monitoring and patient selection for clinical trials investigating disease-modifying therapies.
Background:
Hypertrophic cardiomyopathy (HCM) is a myocardial disorder characterized by left ventricular hypertrophy and progression to heart failure (HF). Approximately 40% of cases are caused by variants in genes encoding sarcomere proteins.
Objectives:
This study sought to determine the relationship between genotype and other clinical predictors of HF outcomes in HCM patients.
Methods:
This observational, single-center cohort comprised 505 genotyped HCM patients (52 years of age [Q1-Q3: 41-62 years], 33% women). Patients were stratified into gene-positive (G+) and gene-elusive (G-) groups. The primary endpoint was HF-related death or cardiac transplantation. Secondary endpoints included cardiac death, arrhythmic events, and all-cause mortality. Proportional hazards models were used to evaluate predictors of outcomes, including genetic status, log-transformed N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels, peak VO2, and left ventricular ejection fraction (LVEF).
Results:
During a median follow-up of 10.6 years (Q1-Q3: 4.6-15.0 years), 34 patients (6.7%) experienced the primary outcome (HF-related death: 22 [4.4%] and heart transplantation: 12 [2.4%]). The HF endpoint occurred in 12.8% (28 of 219) of the G+ group compared with 2.1% (6 of 286) of the G- group. In multivariable Cox analysis, G+ status (HR: 5.86; 95% CI: 2.26-15.25; P < 0.001), 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) were independently associated with HF outcomes. 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.
Conclusions:
Genetic status, peak VO2, log NT-proBNP, and LVEF independently predict HF outcomes in HCM. Combining genotype with HF biomarkers and functional capacity measures identifies patients at increased risk of HF-related death or transplant and may support targeted monitoring and selection for disease-modifying trials.
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