Publications by authors named "L P Zeldin"
Aims: Transthyretin cardiomyopathy (ATTR-CM) is characterized by episodes of worsening heart failure (WHF) which can include heart failure (HF) hospitalizations or urgent unplanned visits for administration of intravenous diuretics. WHF characterized by outpatient intensification of oral loop diuretics is common yet its prognostic implications for ATTR-CM patients relative to other WHF events remains unclear. We assessed how WHF characterized by outpatient diuretic intensification (ODI) relates to mortality in this population.
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- The study aimed to understand the mechanisms behind reentrant ventricular tachycardia (VT) and enhance the targeting of catheter ablation procedures in postinfarction patients.
- Researchers collected and analyzed electrogram data during both sinus rhythm and VT, finding distinct voltage gradients, with significantly lower mean voltage at the VT isthmus compared to its boundaries.
- The findings suggest that the isthmus has uniform slow conduction, which helps maintain the VT circuit, challenging previous assumptions about conducting channels.
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
- 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.