Publications by authors named "A Suszko"

Article Synopsis
  • Epicardial adipose tissue (EAT) is linked to atrial fibrillation (AF) and atrial fibrosis, but many AF patients show no signs of left atrial (LA) fibrosis. This study compared EAT levels in AF patients without LA fibrosis to matched controls without AF.
  • AF patients without LA fibrosis had significantly higher total and regional volumes of EAT compared to controls, indicating that EAT may play a role in AF development even when LA fibrosis is absent.
  • The study found no differences in EAT volumes between AF patients with and without LA fibrosis and no significant link between EAT volume and AF recurrence after catheter ablation.
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Background: Heterogeneous ventricular activation can provide the substrate for ventricular arrhythmias (VA), but its manifestation on the electrocardiogram (ECG) as a risk stratifier is not well-defined.

Objective: To characterize the spatiotemporal features of QRS peaks that best predict VA in patients with cardiomyopathy (CM) using machine learning (ML).

Methods: Prospectively enrolled CM patients with prophylactic defibrillators (n=95) underwent digital, high-resolution ECG recordings during intrinsic rhythm and ventricular pacing at 100 to 120 beats/min.

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Article Synopsis
  • The study investigates the changes in ventricular activation during exercise in patients with Brugada syndrome (BrS) to enhance diagnosis and disease classification.
  • Researchers analyzed electrocardiograms of 53 BrS patients and 52 controls, finding that QRS duration (QRSd) changed differently between groups during exercise, with BrS patients experiencing prolonged QRSd.
  • The results suggest that monitoring exercise-induced QRSd changes in BrS could predict responses to procainamide, making it a potential noninvasive screening method for diagnosing the syndrome.
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Background: Atrial low-voltage areas (LVAs) in patients with atrial fibrillation increase the risk of atrial arrhythmia (AA) recurrence after pulmonary vein isolation (PVI). Contemporary LVA prediction scores (DR-FLASH, APPLE) do not include P-wave metrics. We aimed to evaluate the utility of P-wave duration/amplitude ratio (PWR) in quantifying LVA and predicting AA recurrence after PVI.

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