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Duodromic atrioventricular reentry tachycardia: a case report of a rare adenosine insensitive supraventricular tachycardia.
Eur Heart J Case Rep
January 2025
Arrhythmology, Pacing and Electrophysiology Unit, Cardiology Service, Santa Marta Hospital, Central Lisbon Hospital University Centre, R. de Santa Marta 50, Lisboa 1169-024, Portugal.
Background: Accessory pathways (AP) are associated with an increased risk of atrioventricular reentry tachycardia (AVRT), presenting as a wide QRS tachycardia if the mechanism is antidromic. Rarely, AVRT may not respond to adenosine, suggesting a duodromic mechanism if the patient has multiple APs. Herein, we present a case of a male patient with multiple APs, wide QRS complex tachycardia, and resistance to adenosine.
View Article and Find Full Text PDFDeep Neural Network Analysis of the 12-Lead Electrocardiogram Distinguishes Patients With Congenital Long QT Syndrome From Patients With Acquired QT Prolongation.
Mayo Clin Proc
January 2025
Division of Pediatric Cardiology, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN; Department of Molecular Pharmacology and Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Rochester, MN; Division of Heart Rhythm Services, Department of Cardiovascular Medicine, Windland Smith Rice Genetic Heart Rhythm Clinic, Mayo Clinic, Rochester, MN. Electronic address:
Objective: To test whether an artificial intelligence (AI) deep neural network (DNN)-derived analysis of the 12-lead electrocardiogram (ECG) can distinguish patients with long QT syndrome (LQTS) from those with acquired QT prolongation.
Methods: The study cohort included all patients with genetically confirmed LQTS evaluated in the Windland Smith Rice Genetic Heart Rhythm Clinic and controls from Mayo Clinic's ECG data vault comprising more than 2.5 million patients.
The Relationship Between the Kansas City Cardiomyopathy Questionnaire and Electrocardiographic Parameters in Predicting Outcomes After Cardiac Resynchronization Therapy.
Life (Basel)
November 2024
Department of Cardiology, Bagdasar-Arseni Emergency Hospital, Carol Davila University of Medicine and Pharmacy, 022328 Bucharest, Romania.
Background: Cardiac resynchronization therapy (CRT) is an essential treatment for patients with symptomatic heart failure and ventricular conduction abnormalities. Low-ejection-fraction (EF) cardiomyopathy often involves a wide QRS complex displaying a left bundle branch block (LBBB) morphology and markedly delayed activation of the LV lateral wall. Following CRT, patients with heart failure and LBBB have better outcomes and quality-of-life improvements.
View Article and Find Full Text PDFDataset and analysis of automated and manual methods to differentiate wide QRS complex tachycardias.
Data Brief
February 2025
Department of Medicine, Division of Cardiovascular Diseases, Washington University School of Medicine in St. Louis, St. Louis, MO, United States.
Article Synopsis
- Differentiating between ventricular tachycardia (VT) and supraventricular wide tachycardia (SWCT) using 12-lead ECG is challenging and has traditionally depended on manual interpretation, which can be limited by the user's expertise.
- Recent research has introduced automated algorithms that may offer improved accuracy over manual methods, but there has been little direct comparison between these two approaches.
- A study by LoCoco et al. (2024) evaluated the effectiveness of traditional manual ECG differentiation methods against five automated algorithms, analyzing 213 ECGs to assess their diagnostic performance.
Automated differentiation of wide QRS complex tachycardia using QRS complex polarity.
Commun Med (Lond)
December 2024
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Background: Wide QRS complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) remains challenging despite numerous 12-lead electrocardiogram (ECG) criteria and algorithms. Automated solutions leveraging computerized ECG interpretation (CEI) measurements and engineered features offer practical ways to improve diagnostic accuracy. We propose automated algorithms based on (i) WCT QRS polarity direction (WCT Polarity Code [WCT-PC]) and (ii) QRS polarity shifts between WCT and baseline ECGs (QRS Polarity Shift [QRS-PS]).
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