Objectives: The aim of this study was to evaluate changes in QRST integral maps in patients with ARVC.
Background: Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a progressive disorder of predominantly right ventricle characterized with arrhythmic events possibly leading to sudden cardiac death. QRST integral maps reflect local disparities of ventricular repolarization and resulting vulnerability to arrhythmias.
Methods: A group of 8 patients with ARVC and a control group of 8 patients with a concealed accessory pathway were studied. Body surface mapping was performed using a 63-lead Savard's system.
Results: Mean QRST integral map of patients with ARVC showed abnormal characteristics. The area of negativity was larger than normal and extended to lower border of thorax. Departure map of the mean QRST integral map of patients with ARVC showed areas with departure index < 2 and > 2 in lower part of chest and upper part of back. When statistically analyzed, areas with p < 0.05 covered nearly lower half of chest and upper half of back.
Conclusions: We consider body surface QRST integral mapping to be an adequate method for evaluation of dispersion of ventricular repolarization in ARVC patients (Tab. 1, Fig. 5, Ref. 17).
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JACC Adv
December 2024
Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, New York, USA.
Background: The Hispanic/Latino population is not uniform. Prevalence and clinical outcomes of cardiac arrhythmias in ethnic background subgroups are variable, but the reasons for differences are unclear. Vectorcardiographic Global Electrical Heterogeneity (GEH) has been shown to be associated with adverse cardiovascular outcomes.
View Article and Find Full Text PDFBioengineering (Basel)
October 2024
Cardiovascular Centre, Jichi Medical University, Shimotsuke 329-0498, Japan.
medRxiv
October 2024
Department of Cardiovascular Medicine, The University of Kansas Medical Center, Kansas City, Kansas.
Background: Traditional ECG criteria for left ventricular hypertrophy (LVH) have low diagnostic yield. Machine learning (ML) can improve ECG classification.
Methods: ECG summary features (rate, intervals, axis), R-wave, S-wave and overall-QRS amplitudes, and QRS/QRST voltage-time integrals (VTIs) were extracted from 12-lead, vectorcardiographic X-Y-Z-lead, and root-mean-square (3D) representative-beat ECGs.
Eur Heart J Digit Health
September 2024
Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, USA.
Aims: Despite the highest prevalence of stroke, obesity, and diabetes across races/ethnicities, paradoxically, Hispanic/Latino populations have the lowest prevalence of atrial fibrillation and major Minnesota code-defined ECG abnormalities. We aimed to use Latent Profile Analysis in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) population to obtain insight into epidemiological discrepancies.
Methods And Results: We conducted a cross-sectional analysis of baseline HCHS/SOL visit.
Rev Cardiovasc Med
December 2023
Department of Cardiology, University Medical Centre Ljubljana, 1000 Ljubljana, Slovenia.
Background: Treatment with a coronary sinus reducer (CSR) is a new therapeutic option for refractory angina patients. Preclinical studies have shown antiarrhythmic properties of coronary sinus narrowing. The possible antiarrhythmic effect of CSR implantation is unknown.
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