Publications by authors named "T S Tadros"
Electrocardiographic Changes in Pregnant Patients With Congenital Heart Disease For the STORCC Investigators.
Ann Noninvasive Electrocardiol
January 2025
Background: Electrocardiograms (EKGs) are routinely performed in pregnant patients with pre-existing cardiovascular disease. However, in pregnant patients with congenital heart disease (CHD), EKG changes during gestation have not been explored.
Methods: We performed a retrospective study of pregnant patients with CHD enrolled in the STORCC initiative.
Article Synopsis
- High-frequency low-tidal-volume (HFLTV) ventilation is more effective than standard ventilation (SV) during radiofrequency catheter ablation (RFCA) for treating paroxysmal atrial fibrillation (PAF), as it enhances procedural efficiency and patient outcomes.
- A study analyzed 70 patients who underwent pulmonary vein isolation with either HFLTV or SV, revealing that HFLTV led to shorter ablation durations, higher contact force, and better impedance reduction while maintaining the same ablation index.
- Overall, HFLTV ventilation resulted in significant reductions in total procedural time, ablation time, and RF time compared to SV, indicating its advantages in improving ablation parameters.
Background: Patients with congenital heart disease (CHD) have a higher incidence of arrhythmias during pregnancy, yet the utility of mobile cardiac telemetry (MCT) to predict adverse outcomes is unknown.
Objectives: The purpose of this study is to determine whether arrhythmias on screening MCT correlate with adverse pregnancy outcomes.
Methods: Patients with CHD prospectively enrolled in the Standardized Outcomes in Reproductive Cardiovascular Care initiative underwent 24-hour MCT (within 18 months prior to pregnancy).
Introduction: Training in clinical cardiac electrophysiology (CCEP) involves the development of catheter handling skills to safely deliver effective treatment. Objective data from analysis of ablation data for evaluating trainee of CCEP procedures has not previously been possible. Using the artificial intelligence cloud-based system (CARTONET), we assessed the impact of trainee progress through ablation procedural quality.
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