Publications by authors named "H Garan"
Background: Asthma is a known risk factor for atrial fibrillation (AF), the most common sustained arrhythmia. Whereas radiofrequency catheter ablation is effective in treating AF, the impact of asthma and its severity on ablation outcomes has not been previously explored.
Objective: The purpose of this study was to evaluate the impact of asthma and its severity on AF recurrence after ablation.
Article Synopsis
- Transthyretin cardiac amyloidosis (ATTR-CA) leads to a higher incidence of arrhythmias, prompting a study to monitor patients for 2 weeks.
- The study included 38 ATTR-CA patients and an age-matched control group, finding that 26.3% had atrial fibrillation/atrial flutter (AF/AFL) and a significant 81.6% had nonsustained ventricular tachycardia (NSVT).
- Although ATTR-CA patients showed increased rates of these arrhythmias, there was no link between their presence and negative clinical outcomes over a median follow-up of 45 weeks, suggesting noninvasive monitoring may help in assessing arrhythmia risk.
Article Synopsis
- Catheter ablation for ventricular tachycardia (VT) currently uses isochronal late activation mapping (ILAM), which helps identify isthmus regions by categorizing activation times into a limited number of isochrones.
- This study evaluates whether the methods used in ILAM are the most effective by testing various numbers of isochrones and exploring continuous metrics that improve isthmus detection.
- Results showed that increasing the number of isochrones or using continuous metrics significantly enhanced the identification precision of isthmus regions, indicating that current practices can be optimized for better outcomes in VT ablation.
Article Synopsis
- This study investigates the role of left ventricular (LV) wall thickness, assessed via contrast-enhanced CT, in identifying areas of functional conduction block in patients with postinfarction reentrant ventricular tachycardia (VT).
- The researchers analyzed data from 6 patients, finding that regions of significant change in wall thickness (ΔT) were closely associated with boundaries where electrical conduction block occurred during VT.
- The results suggest that measuring the curvature of activation wavefronts based on LV wall thickness can aid in precisely locating VT isthmus areas in patients following a heart attack.
Article Synopsis
- The study investigates using a graph convolutional network (GCN) to identify critical isthmus areas in patients with scar-related reentrant atrial tachycardia (SRRAT) for effective ablation.
- Researchers collected electroanatomic maps from 29 SRRAT cases to create an optimal GCN model for predicting isthmus points based on key electrogram features.
- Results indicated that the GCN successfully predicted isthmus areas with a median distance of approximately 8 mm from actual areas, suggesting potential for improved identification of critical ablation targets in clinical practice.