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Cardiac Adiposity and Arrhythmias: The Role of Imaging
Maria Bonou1, Sophie Mavrogeni2, Chris J Kapelios1
1Department of Cardiology, Laiko General Hospital, 11527 Athens, Greece.
Insights
Cardiac fat depots, known for inflammation, may drive atrial fibrillation and ventricular arrhythmias. Advanced imaging aids risk prediction, but more data is needed for routine clinical use in personalized risk stratification.
Area of Science:
- Cardiology
- Medical Imaging
- Metabolic Research
Background:
- Cardiac fat depots are metabolically active and pro-inflammatory.
- Growing evidence links cardiac adiposity to atrial fibrillation and ventricular arrhythmias.
- Obesity and traditional risk factors are insufficient for comprehensive risk assessment.
Purpose of the Study:
- To explore the role of cardiac adiposity in arrhythmogenesis.
- To evaluate the utility of cardiac imaging in understanding pathophysiology and improving risk prediction.
- To assess the need for advanced imaging biomarkers in patient risk stratification.
Main Methods:
- Review of current evidence linking cardiac adiposity to arrhythmias.
- Analysis of insights provided by echocardiography, computed tomography, and cardiac magnetic resonance.
- Consideration of multifactorial mechanisms including inflammation, fibrosis, and electrical remodeling.
Main Results:
- Cardiac adiposity is implicated as a determinant of arrhythmias.
- Imaging modalities offer valuable insights into cardiac adiposity and arrhythmogenesis.
- Mechanisms involve inflammation, fibrosis, autonomic modulation, and oxidative stress.
Conclusions:
- Cardiac adiposity plays a significant role in arrhythmia development.
- Imaging biomarkers show promise for personalized risk stratification and prognostication.
- Further research is needed to integrate imaging data into clinical risk algorithms.
Abstract:
Increased cardiac fat depots are metabolically active tissues that have a pronounced pro-inflammatory nature. Increasing evidence supports a potential role of cardiac adiposity as a determinant of the substrate of atrial fibrillation and ventricular arrhythmias. The underlying mechanism appears to be multifactorial with local inflammation, fibrosis, adipocyte infiltration, electrical remodeling, autonomic nervous system modulation, oxidative stress and gene expression playing interrelating roles. Current imaging modalities, such as echocardiography, computed tomography and cardiac magnetic resonance, have provided valuable insight into the relationship between cardiac adiposity and arrhythmogenesis, in order to better understand the pathophysiology and improve risk prediction of the patients, over the presence of obesity and traditional risk factors. However, at present, given the insufficient data for the additive value of imaging biomarkers on commonly used risk algorithms, the use of different screening modalities currently is indicated for personalized risk stratification and prognostication in this setting.
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