Aims: Brugada phenocopies (BrPs) are electrocardiogram (ECG) patterns that are identical to true Brugada syndrome (BrS) but are induced by various clinical conditions. The concept that both ECG patterns are visually identical has not been formally demonstrated. The aim of our study was to determine if experts on BrS were able to accurately distinguish between the BrS and BrP ECG patterns.
Methods And Results: Six ECGs from confirmed cases of BrS and six ECGs from previously published cases of BrP were included in the study. Surface 12-lead ECGs were scanned, saved in JPEG format, and sent to 10 international experts on BrS for evaluation (no clinical history provided). Evaluators were asked to label each case as a Brugada ECG pattern or non-Brugada ECG pattern by visual interpretation alone. The overall accuracy was 53 ± 33% for all cases. Within the BrS cases, the mean accuracy was 63 ± 34% and within the BrP cases, the mean accuracy was 43 ± 33%. Intra-observer repeatability was moderate (κ = 0.56) and inter-observer agreement was fair (κ = 0.36) while evaluator accuracy vs. the true diagnosis was only marginally better than chance (κ = 0.05). Similarly, diagnostic operating characteristics were poor (sensitivity 62%, specificity 43%, +LR 1.1, -LR 0.9).
Conclusion: Our results provide strong evidence that BrP and BrS ECG patterns are visually identical and indistinguishable. These findings support the use of systematic diagnostic criteria for differentiating BrP vs. BrS as an erroneous diagnosis may have a negative impact on patient morbidity and mortality.
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http://dx.doi.org/10.1093/europace/euv278 | DOI Listing |
Patterns (N Y)
December 2024
Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.
To achieve adequate trust in patient-critical medical tasks, artificial intelligence must be able to recognize instances where they cannot operate confidently. Ensemble methods are deployed to estimate uncertainty, but models in an ensemble often share the same vulnerabilities to adversarial attacks. We propose an ensemble approach based on feature decorrelation and Fourier partitioning for teaching networks diverse features, reducing the chance of perturbation-based fooling.
View Article and Find Full Text PDFJ Physiol
January 2025
Department of Biological Sciences, Southern Methodist University, Dallas, TX, USA.
Sudden unexpected death in epilepsy (SUDEP) is a devastating complication of epilepsy with possible sex-specific risk factors, although the exact relationship between sex and SUDEP remains unclear. To investigate this, we studied Kcna1 knockout (Kcna1) mice, which lack voltage-gated Kv1.1 channel subunits and are widely used as a SUDEP model that mirrors key features in humans.
View Article and Find Full Text PDFJ Interv Card Electrophysiol
January 2025
Department of Cardiology, Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, No.180, Feng-Lin Road, Shanghai, 200032, P.R. China.
Background: Ventricular arrhythmia (VA) originating from the left ventricular summit (LVS) poses particular challenges, with higher rates of ablation failure.
Objective: To further evaluate the anatomical ablation approach from the subaortic region for LVS VAs and their electrophysiological characteristics.
Method: The study enrolled 27 consecutive patients with sympatomatic VAs originating from LVS and who received an anatomical ablation approach from R-L ILT in our center.
Sensors (Basel)
December 2024
REMIT (Research on Economics, Management and Information Technologies), IJP (Instituto Jurídico Portucalense), Universidade Portucalense, Rua Dr. António Bernardino de Almeida, 541-619, 4200-072 Porto, Portugal.
Some previous studies have focused on using physiological signals to detect stress in individuals with ASD through wearable devices, yet few have focused on how to design such solutions. Wearable technology may be a valuable tool to aid parents and caregivers in monitoring the emotional states of individuals with ASD who are at high risk of experiencing very stressful situations. However, effective wearable devices for individuals with ASD may need to differ from solutions for those without ASD.
View Article and Find Full Text PDFInt J Cardiol
January 2025
Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Padova, Italy. Electronic address:
T wave inversion (TWI) on the electrocardiogram (ECG) is a relatively common finding in athletes. It poses a diagnostic challenge, as it can indicate either a benign physiological pattern or an early sign of serious cardiac pathology. This expert opinion statement provides a comprehensive review of the current understanding of TWI in athletes, emphasizing the importance of its localization, associated clinical features, and demographic factors in guiding its interpretation and management.
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