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Optimum Patient's Selection for Atrial Fibrillation Ablation Using Echocardiography
Matteo Cameli1, Maria Concetta Pastore1, Francesco Morrone1
1Department of Medical Biotechnologies, Division of Cardiology, University of Siena, Viale Bracci 16, 53100 Siena, Italy.
Catheter ablation (CA) for atrial fibrillation (AF) recurrence can be predicted by various factors. Optimizing patient selection using echocardiography and novel biomarkers can improve outcomes after CA for AF.
Area of Science:
- Cardiology
- Medical Technology
Background:
- Catheter ablation (CA) is a recommended treatment for symptomatic atrial fibrillation (AF).
- AF recurrence after CA affects 30-35% of patients, influenced by diverse clinical, genetic, and lifestyle factors.
- Optimizing patient selection is crucial to minimize AF recurrence post-CA.
Purpose of the Study:
- To review echocardiographic parameters, including myocardial deformation, for predicting AF recurrence after CA.
- To examine emerging clinical and biochemical predictors for comprehensive patient selection strategies.
Main Methods:
- Review of current literature on predictors of AF recurrence post-CA.
- Analysis of traditional and novel echocardiographic parameters (e.g., left atrial size, LV function, myocardial deformation via speckle tracking).
- Evaluation of emerging clinical factors (e.g., sleep apnea, renal failure) and novel biomarkers (e.g., MR-proANP, caspase-8).
Main Results:
- Echocardiographic parameters like left atrial size and LV function are known predictors, but no single factor is definitive.
- Myocardial deformation analysis shows promise in predicting AF recurrence.
- Emerging factors like obstructive sleep apnea and novel biomarkers may enhance risk prediction.
Conclusions:
- A multifactorial approach combining traditional and novel predictors is essential for accurate AF recurrence risk stratification post-CA.
- Further research into myocardial deformation and novel biomarkers can refine patient selection for CA.
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