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13th International Congress
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RT-103 |
Frequency domain analysis is useful to identify patients at risk of atrial fibrillation: a prospective study |
Mauro Villani, Sabrina Iannuzzi,
Gino Iannucci, Federico Caruso*, Cataldo Pisicchio, Daniela Imperiale, Giacinto
Baciarello.
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Introduction |
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Atrial fibrillation is a very common and potentially dangerous cardiac arrhythmia1. A significant amount of cerebro-vascular episodes are in fact due to thromboembolism in patients with fibrillating atria2. A 5 fold embolic risk in the non rheumatic atrial fibrillation and 18 fold risk in the rheumatic group has been ascertained2 and full anticoagulation is frequently recommended in patients with atrial fi-brillation in order to reduce the embolic risk3. This exposes particularly the elderly patients to an increased risk of haemorrhage. Furthermore the loss of atrial contraction can cause a significant haemodynamic trouble particularly in patients with diastolic impairment leading to congestive heart failure4. For these causes it can be useful to have the possibility to identify patients at risk of atrial fibrillation with a sample, reproducible and non invasive methodology. Several studies demonstrated that signal averaged ECG (SAECG) could be useful to detect patients at risk of atrial fibrillation. Moreover, prospective studies for clinical utilization of SAECG to study the P-wave are still necessary. The aim of this study was to investigate and evaluate if it is possible to identify, prospectively, patients at risk of relapse into atrial fibrillation, using SAECG in the time and frequency domain. On the other hand can the alterations or modification of time and/or frequency domain parameters predict the relapse into atrial fibrillation? |
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