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Risk stratification and subclinical phenotyping of dilated and/or arrhythmogenic cardiomyopathy mutation-positive
R W Roudijk1,2, K Taha1,2, M Bourfiss2
1Netherlands Heart Institute, Utrecht, The Netherlands.
Insights
Early detection of inherited cardiomyopathies like dilated and arrhythmogenic cardiomyopathy in relatives is crucial. The CVON-eDETECT study aims to personalize screening using integrated data for better risk stratification and outcomes.
Area of Science:
- Cardiology
- Genetics
- Preventive Medicine
Background:
- Dilated cardiomyopathy (DCM) and arrhythmogenic cardiomyopathy (ACM) pose risks for sudden cardiac death and heart failure.
- Early detection in relatives of affected individuals is vital but optimal screening strategies remain unclear.
- Incomplete and age-dependent penetrance complicates disease course prediction.
Purpose of the Study:
- To identify optimal screening intervals and diagnostic techniques for early detection of subclinical DCM and ACM in relatives.
- To develop a personalized risk stratification approach for heart failure and sudden cardiac death.
- To integrate diverse data sources for improved cascade screening strategies.
Main Methods:
- Review of non-invasive diagnostic techniques including biomarkers, ECG, echocardiographic deformation imaging, and cardiac MRI.
- Integration of electronic health records, diagnostic data, tissue, and plasma samples within a multidisciplinary biobank (CVON-eDETECT consortium).
- Focus on personalized risk stratification for tailored screening and treatment.
Main Results:
- Promising non-invasive techniques exist but require optimization and integration.
- A personalized approach to cascade screening intensity and timing is likely necessary.
- The CVON-eDETECT consortium aims to create a comprehensive data environment for risk stratification.
Conclusions:
- Optimizing non-invasive diagnostic techniques is key for detecting subclinical cardiomyopathy in relatives.
- Personalized risk stratification can guide screening, treatment, and device implantation timing.
- The CVON-eDETECT initiative seeks to improve outcomes for families with inherited cardiomyopathies.
Abstract:
In relatives of index patients with dilated cardiomyopathy and arrhythmogenic cardiomyopathy, early detection of disease onset is essential to prevent sudden cardiac death and facilitate early treatment of heart failure. However, the optimal screening interval and combination of diagnostic techniques are unknown. The clinical course of disease in index patients and their relatives is variable due to incomplete and age-dependent penetrance. Several biomarkers, electrocardiographic and imaging (echocardiographic deformation imaging and cardiac magnetic resonance imaging) techniques are promising non-invasive methods for detection of subclinical cardiomyopathy. However, these techniques need optimisation and integration into clinical practice. Furthermore, determining the optimal interval and intensity of cascade screening may require a personalised approach. To address this, the CVON-eDETECT (early detection of disease in cardiomyopathy mutation carriers) consortium aims to integrate electronic health record data from long-term follow-up, diagnostic data sets, tissue and plasma samples in a multidisciplinary biobank environment to provide personalised risk stratification for heart failure and sudden cardiac death. Adequate risk stratification may lead to personalised screening, treatment and optimal timing of implantable cardioverter defibrillator implantation. In this article, we describe non-invasive diagnostic techniques used for detection of subclinical disease in relatives of index patients with dilated cardiomyopathy and arrhythmogenic cardiomyopathy.
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