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A diagnosis of Brugada syndrome (BrS) is based on the presence of a type 1 electrocardiogram (ECG) pattern, either spontaneously or after a Sodium Channel Blocker Provocation Test (SCBPT). Several ECG criteria have been evaluated as predictors of a positive SCBPT, such as the β-angle, the α-angle, the duration of the base of the triangle at 5 mm from the r'-wave (DBT- 5 mm), the duration of the base of the triangle at the isoelectric line (DBT- iso), and the triangle base/height ratio. The aim of our study was to test all previously proposed ECG criteria in a large cohort study and to evaluate an r'-wave algorithm for predicting a BrS diagnosis after an SCBPT. We enrolled all patients who consecutively underwent SCBPT using flecainide from January 2010 to December 2015 in the test cohort and from January 2016 to December 2021 in the validation cohort. We included the ECG criteria with the best diagnostic accuracy in relation to the test cohort in the development of the r'-wave algorithm (β-angle, α-angle, DBT- 5 mm, and DBT- iso.) Of the total of 395 patients enrolled, 72.4% were male and the average age was 44.7 ± 13.5 years. Following the SCBPTs, 24.1% of patients (n = 95) were positive and 75.9% (n = 300) were negative. ROC analysis of the validation cohort showed that the AUC of the r'-wave algorithm (AUC: 0.92; CI 0.85-0.99) was significantly better than the AUC of the β-angle (AUC: 0.82; 95% CI 0.71-0.92), the α-angle (AUC: 0.77; 95% CI 0.66-0.90), the DBT- 5 mm (AUC: 0.75; 95% CI 0.64-0.87), the DBT- iso (AUC: 0.79; 95% CI 0.67-0.91), and the triangle base/height (AUC: 0.61; 95% CI 0.48-0.75) ( < 0.001), making it the best predictor of a BrS diagnosis after an SCBPT. The r'-wave algorithm with a cut-off value of ≥2 showed a sensitivity of 90% and a specificity of 83%. In our study, the r'-wave algorithm was proved to have the best diagnostic accuracy, compared with single electrocardiographic criteria, in predicting the diagnosis of BrS after provocative testing with flecainide.
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http://dx.doi.org/10.3390/s23063159 | DOI Listing |
Heart
August 2025
Division of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Campania, Italy
Background: False-positive (FP) alerts from implantable loop recorders increase clinical workload and may delay appropriate intervention. AccuRhythm AI, a cloud-based filtering algorithm, is designed to reduce these alerts in Reveal LINQ and LINQ II devices. This study assessed the algorithm's effect on FP and clinician burden reduction, with a focus on the influence of R-wave sensing amplitude.
View Article and Find Full Text PDFJ Electrocardiol
August 2025
Riojan Health Service, Piqueras 98, 26006 Logroño, La Rioja, Spain. Electronic address:
We applied a three-dimensional framework to the standard electrocardiogram and showed that conventional precordial deflections are discrete projections of a continuous spatial reference. Using only two leads and rotating this reference system, we tracked the morphological progression of QRS-T. In individuals without electrical abnormalities, spatial continuity was preserved with predominantly single, spheroidal loops, while right bundle branch block cases showed frequent disruptions.
View Article and Find Full Text PDFUltrasonics
November 2025
Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China; Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China; School of Automotive Engineering, Wuhan Univers
The effective detection and imaging of near-surface micro defects has been the key problem in the ultrasonic inspection field for a long time. Laser ultrasound has high resolution and sensitivity which is the effective technology to detect micro defects. In this paper, the time and frequency domain characteristics of the picosecond laser ultrasound and the interaction mechanism between micro defects and ultrasonic waves are studied by simulation and experiment.
View Article and Find Full Text PDFInt J Cardiol
October 2025
Clinical and Interventional Arrhythmology, "S. Maria" Hospital, Terni, Italy; Cardiology Department, "S. Maria" Hospital, Terni, Italy.
Introduction: Preoperatively distinguishing the origin of outflow tract ventricular arrhythmias (OTVAs) exhibiting a precordial transition around V3 is essential for effectively planning the ablation procedure; nonetheless, this proves challenging since neighboring anatomical structures exhibit similar VA morphologies. Several diagnostic criteria analyzing leads V1 and V2 have been proposed to overcome this limitation, whose accuracy has been reviewed; recently, interest has shifted to V3. We conducted a thorough analysis of leads V1 to V3 to evaluate the diagnostic accuracy of existing criteria and to develop a novel diagnostic algorithm.
View Article and Find Full Text PDFHeart Vessels
May 2025
Department of Cardiovascular Medicine, The Cardiovascular Institute, 3-2-19 Nishiazabu, Minato-Ku, Tokyo, 106-0031, Japan.
A convolutional neural network (CNN)-enhanced electrocardiogram (ECG) has been reported for detecting mitral regurgitation (MR). This tool may be particularly useful for identifying candidates for echocardiography in patients with chronic atrial fibrillation (AF) to detect atrial functional MR early. The data from a single-center, prospective cohort study (Shinken Database 2010-2017, n = 19,170) were combined with an ECG database.
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