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Family Screening in Relatives at Risk for Plakophilin-2-Associated Arrhythmogenic Right Ventricular Cardiomyopathy
Steven A Muller1,2,3, Babken Asatryan1, Alessio Gasperetti1
1Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (S.A.M., B.A., A.G., R.T.C., C.T., B.M., S.L.Z., H.C., C.A.J.).
Insights
A new genotype-specific screening algorithm for arrhythmogenic right ventricular cardiomyopathy (ARVC) using plakophilin-2 (PKP2) variants offers personalized care. This approach improves risk stratification and clinical resource allocation for families with ARVC.
Area of Science:
- Cardiology
- Genetics
- Clinical Medicine
Background:
- Arrhythmogenic right ventricular cardiomyopathy (ARVC) risk and ventricular arrhythmias (VAs) are genotype-dependent.
- Current ARVC screening lacks personalization, necessitating genotype-informed protocols.
- Plakophilin-2 (PKP2) gene variants are a common cause of ARVC, making PKP2-specific screening crucial.
Purpose of the Study:
- To develop a safe and evidence-based screening algorithm specific to PKP2 variants in ARVC.
- To enable personalized recommendations for family screening based on genetic and clinical data.
- To improve the efficiency of clinical resource allocation in ARVC management.
Main Methods:
- Included 295 relatives with pathogenic/likely pathogenic PKP2 variants from 145 families.
- Phenotype assessment using ECG, Holter monitoring, and cardiac imaging based on 2010 Task Force Criteria.
- Cox regression and multistate modeling to determine ARVC development predictors and VA occurrence.
Main Results:
- 12% of relatives experienced VAs, exclusively in those with a definite ARVC diagnosis.
- Relatives with borderline ARVC progressed 5x faster to definite ARVC compared to genotype-positive/phenotype-negative relatives.
- Younger relatives (20-40 years) had a 2.23-fold increased risk of developing ARVC.
Conclusions:
- Developed a 3-tiered, evidence-based longitudinal screening algorithm for PKP2-related ARVC.
- Algorithm integrates age, symptoms, and baseline phenotype for tailored screening.
- Personalized screening can enhance patient care and optimize clinical resource use.
Background:
Penetrance and risk of ventricular arrhythmias (VAs) in arrhythmogenic right ventricular cardiomyopathy (ARVC) are increasingly recognized as being genotype specific. Therefore, genotype-informed family screening protocols may lead to safer and more personalized recommendations than the current one-size-fits-all screening recommendations. We aimed to develop a safe, evidence-based plakophilin-2 (PKP2)-specific longitudinal screening algorithm.
Methods:
We included 295 relatives (41% male; age 30.9 years [18.0-47.7 years]) with a pathogenic or likely pathogenic PKP2 variant from 145 families. Phenotype was ascertained with ECG, Holter monitoring, and cardiac imaging and classified by the 2010 Task Force Criteria. VA was defined as a composite of sudden cardiac arrest or death, spontaneous sustained ventricular tachycardia, ventricular fibrillation, or appropriate implantable cardioverter defibrillator intervention. We performed Cox regression to determine predictors of ARVC development and multistate modeling to assess the probability of ARVC development and occurrence of VA.
Results:
At baseline, 110 relatives (37%) had definite ARVC. During 8.5 years (4.2-12.9 years) of follow-up, 62 of 185 relatives (34%) without definite ARVC at baseline progressed to definite ARVC diagnosis, and 35 of 295 of all relatives (12%) had VA. VAs occurred only in relatives who previously fulfilled definite ARVC diagnosis. Relatives with borderline ARVC (fulfillment of one minor criterion plus the major family history criterion) progressed 5 times faster in the multistate model to definite ARVC diagnosis and compared with genotype-positive/phenotype-negative (G+/P-) relatives (ie, major family history criterion alone). Relatives 20 to 40 years of age had increased risk for developing definite ARVC (hazard ratio, 2.23; P=0.012) compared with those ≥40 years of age. New Task Force Criteria fulfillment most commonly occurred first on ECGs, followed by Holter monitoring and cardiac imaging. Consequently, 3 risk profiles were identified, and appropriate screening protocols were derived: relatives with borderline ARVC (annual ECG and Holter monitoring; complete evaluation [ie, ECGs, Holter monitoring, and imaging] every 2 years), younger (<40 years of age) or symptomatic G+/P- relatives (every 2 years an ECG and Holter monitoring; complete evaluation every 4 years), and older (≥40 years of age) and asymptomatic G+/P- relatives (complete evaluation every 5 years).
Conclusions:
An evidence-based longitudinal screening algorithm that integrates age, symptoms, and baseline clinical phenotype may improve patient care and improve efficiency of clinical resource allocation.
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