Research Topic

Comprehensive Risk Prediction in Cardiomyopathies. New Genetic and Imaging Markers of Risk

About this Research Topic

Hypertrophic, dilated and arrhythmogenic cardiomyopathies are a major cause of heart failure and sudden death. Current management guidelines recommend the use of risk stratification algorithms, to help with important decisions regarding medication initiation/uptitration and devices use, including implantable cardioverter-defibrillators or cardiac resynchronization therapy. These algorithms and scores are mainly comprised of symptomatic status and a few imaging and/or ambulatory ECG markers.

A significant proportion of heart muscle disease is genetically caused and a pathogenic/likely pathogenic variant can be found in around 40-50% of index cases. Advances in genetics have allowed for an increasing diagnostic certainty and optimized family screening processes. An influence of genetics in prognosis and outcomes has also been reported in the last few years but it is yet to be integrated in decision-making recommendations.

Great advances in cardiac imaging have also been described in the context of heart muscle disease, including myocardial deformation techniques, scar imaging, perfusion imaging, and tissue characterization. These have provided new insights regarding previously unknown phenotypes, including early disease, and already help with differential diagnosis dilemmas in the daily clinical practice. However, differently from old markers such as ejection fraction and wall thickness, these new imaging parameters have not yet been fully integrated in risk prediction algorithms, despite a number of publications describing associations with events.

The aim of this Research Topic is to gather contributions from Researchers working in the fields of cardiomyopathy genetics and/or cardiomyopathy imaging, who have interest in establishing a role of new genetics and imaging markers for comprehensive risk prediction in cardiomyopathies.

We welcome articles uncovering new insights in the form of Original Research, Methods, and Review articles.


Keywords: genetics, prognosis, risk, sudden death, cardiac magnetic resonance, echocardiography, cardiac imaging, cardiomyopathy


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

Hypertrophic, dilated and arrhythmogenic cardiomyopathies are a major cause of heart failure and sudden death. Current management guidelines recommend the use of risk stratification algorithms, to help with important decisions regarding medication initiation/uptitration and devices use, including implantable cardioverter-defibrillators or cardiac resynchronization therapy. These algorithms and scores are mainly comprised of symptomatic status and a few imaging and/or ambulatory ECG markers.

A significant proportion of heart muscle disease is genetically caused and a pathogenic/likely pathogenic variant can be found in around 40-50% of index cases. Advances in genetics have allowed for an increasing diagnostic certainty and optimized family screening processes. An influence of genetics in prognosis and outcomes has also been reported in the last few years but it is yet to be integrated in decision-making recommendations.

Great advances in cardiac imaging have also been described in the context of heart muscle disease, including myocardial deformation techniques, scar imaging, perfusion imaging, and tissue characterization. These have provided new insights regarding previously unknown phenotypes, including early disease, and already help with differential diagnosis dilemmas in the daily clinical practice. However, differently from old markers such as ejection fraction and wall thickness, these new imaging parameters have not yet been fully integrated in risk prediction algorithms, despite a number of publications describing associations with events.

The aim of this Research Topic is to gather contributions from Researchers working in the fields of cardiomyopathy genetics and/or cardiomyopathy imaging, who have interest in establishing a role of new genetics and imaging markers for comprehensive risk prediction in cardiomyopathies.

We welcome articles uncovering new insights in the form of Original Research, Methods, and Review articles.


Keywords: genetics, prognosis, risk, sudden death, cardiac magnetic resonance, echocardiography, cardiac imaging, cardiomyopathy


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

29 January 2021 Abstract
30 April 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

29 January 2021 Abstract
30 April 2021 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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