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The r’-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test

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, t...

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Autores principales: Vetta, Giampaolo, Parlavecchio, Antonio, Pistelli, Lorenzo, Desalvo, Paolo, Lo Savio, Armando, Magnocavallo, Michele, Caminiti, Rodolfo, Tribuzio, Anna, Vairo, Alessandro, La Maestra, Diego, Vetta, Francesco, Dattilo, Giuseppe, Luzza, Francesco, Di Bella, Gianluca, Rossini, Roberta, Della Rocca, Domenico Giovanni, Crea, Pasquale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056571/
https://www.ncbi.nlm.nih.gov/pubmed/36991870
http://dx.doi.org/10.3390/s23063159
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author Vetta, Giampaolo
Parlavecchio, Antonio
Pistelli, Lorenzo
Desalvo, Paolo
Lo Savio, Armando
Magnocavallo, Michele
Caminiti, Rodolfo
Tribuzio, Anna
Vairo, Alessandro
La Maestra, Diego
Vetta, Francesco
Dattilo, Giuseppe
Luzza, Francesco
Di Bella, Gianluca
Rossini, Roberta
Della Rocca, Domenico Giovanni
Crea, Pasquale
author_facet Vetta, Giampaolo
Parlavecchio, Antonio
Pistelli, Lorenzo
Desalvo, Paolo
Lo Savio, Armando
Magnocavallo, Michele
Caminiti, Rodolfo
Tribuzio, Anna
Vairo, Alessandro
La Maestra, Diego
Vetta, Francesco
Dattilo, Giuseppe
Luzza, Francesco
Di Bella, Gianluca
Rossini, Roberta
Della Rocca, Domenico Giovanni
Crea, Pasquale
author_sort Vetta, Giampaolo
collection PubMed
description 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) (p < 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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spelling pubmed-100565712023-03-30 The r’-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test Vetta, Giampaolo Parlavecchio, Antonio Pistelli, Lorenzo Desalvo, Paolo Lo Savio, Armando Magnocavallo, Michele Caminiti, Rodolfo Tribuzio, Anna Vairo, Alessandro La Maestra, Diego Vetta, Francesco Dattilo, Giuseppe Luzza, Francesco Di Bella, Gianluca Rossini, Roberta Della Rocca, Domenico Giovanni Crea, Pasquale Sensors (Basel) Article 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) (p < 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. MDPI 2023-03-16 /pmc/articles/PMC10056571/ /pubmed/36991870 http://dx.doi.org/10.3390/s23063159 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vetta, Giampaolo
Parlavecchio, Antonio
Pistelli, Lorenzo
Desalvo, Paolo
Lo Savio, Armando
Magnocavallo, Michele
Caminiti, Rodolfo
Tribuzio, Anna
Vairo, Alessandro
La Maestra, Diego
Vetta, Francesco
Dattilo, Giuseppe
Luzza, Francesco
Di Bella, Gianluca
Rossini, Roberta
Della Rocca, Domenico Giovanni
Crea, Pasquale
The r’-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test
title The r’-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test
title_full The r’-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test
title_fullStr The r’-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test
title_full_unstemmed The r’-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test
title_short The r’-Wave Algorithm: A New Diagnostic Tool to Predict the Diagnosis of Brugada Syndrome after a Sodium Channel Blocker Provocation Test
title_sort r’-wave algorithm: a new diagnostic tool to predict the diagnosis of brugada syndrome after a sodium channel blocker provocation test
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056571/
https://www.ncbi.nlm.nih.gov/pubmed/36991870
http://dx.doi.org/10.3390/s23063159
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