scholarly journals B-PO03-167 PREDICTING ARRHYTHMIC EVENT FOR ICD THERAPY IN BRUGADA SYNDROME: A PREDICTIVE SCORE FROM WORLDWIDE POOLED ANALYSIS

Heart Rhythm ◽  
2021 ◽  
Vol 18 (8) ◽  
pp. S257
Author(s):  
Pattara Rattanawong ◽  
Jakrin Kewcharoen ◽  
Wasawat Vutthikraivit Prapaipan Putthapiban ◽  
Chanavuth Kanitsoraphan Narut Prasitlumkum ◽  
Patrick S. Hooke ◽  
...  
Keyword(s):  
Brugada Syndrome ◽  
Pooled Analysis ◽  
Predictive Score ◽  
Icd Therapy ◽  
Arrhythmic Event

Robustness and relevance of predictive score in sudden cardiac death for patients with Brugada syndrome

2020 ◽  
Author(s):  
Vincent Probst ◽  
Thomas Goronflot ◽  
Soraya Anys ◽  
Romain Tixier ◽  
Jean Briand ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Brugada Syndrome ◽  
Sudden Cardiac Arrest ◽  
Area Under The Curve ◽  
Risk Scores ◽  
Predictive Score ◽  
Intermediate Risk ◽  
Predictive Capacity ◽  
Main Challenge ◽  
Arrhythmic Event

Abstract Aims  Risk stratification of sudden cardiac arrest (SCA) in Brugada syndrome (Brs) remains the main challenge for physicians. Several scores have been suggested to improve risk stratification but never replicated. We aim to investigate the accuracy of the Brs risk scores. Methods and results  A total of 1613 patients [mean age 45 ± 15 years, 69% male, 323 (20%) symptomatic] were prospectively enrolled from 1993 to 2016 in a multicentric database. All data described in the risk score were double reviewed for the study. Among them, all patients were evaluated with Shanghai score and 461 (29%) with Sieira score. After a mean follow-up of 6.5 ± 4.7 years, an arrhythmic event occurred in 75 (5%) patients including 16 SCA, 11 symptomatic ventricular arrhythmia, and 48 appropriate therapies. Predictive capacity of the Shanghai score (n = 1613) and the Sieira (n = 461) score was, respectively, estimated by an area under the curve of 0.73 (0.67–0.79) and 0.71 (0.61–0.81). Considering Sieira score, the event rate at 10 years was significantly higher with a score of 5 (26.4%) than with a score of 0 (0.9%) or 1 (1.1%) (P < 0.01). No statistical difference was found in intermediate-risk patients (score 2–4). The Shanghai score does not allow to better stratify the risk of SCA. Conclusions  In the largest cohort of Brs patient ever described, risk scores do not allow stratifying the risk of arrhythmic event in intermediate-risk patient.

Tpeak-Tend interval as a new risk factor for arrhythmic event in patient with Brugada syndrome

2007 ◽  
Vol 21 (4) ◽  
pp. 213-217 ◽  
Author(s):  
Jinfeng Wang ◽  
Qijun Shan ◽  
Bing Yang ◽  
Minglong Chen ◽  
Jiangang Zou ◽  
...  
Keyword(s):  
Risk Factor ◽  
Brugada Syndrome ◽  
Arrhythmic Event

scholarly journals Profile of patients with Brugada syndrome presenting with their first documented arrhythmic event: Data from the Survey on Arrhythmic Events in BRUgada Syndrome (SABRUS)

Heart Rhythm ◽  
2018 ◽  
Vol 15 (5) ◽  
pp. 716-724 ◽  
Author(s):  
Anat Milman ◽  
Antoine Andorin ◽  
Jean-Baptiste Gourraud ◽  
Pieter G. Postema ◽  
Frederic Sacher ◽  
...  
Keyword(s):  
Brugada Syndrome ◽  
Event Data ◽  
Arrhythmic Event

scholarly journals Comparing the performance of risk stratification scores in Brugada syndrome: a multi-centre study

2021 ◽  
Author(s):  
Sharen Lee ◽  
Jiandong Zhou ◽  
George Bazoukis ◽  
Konstantinos P Letsas ◽  
Tong Liu ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Brugada Syndrome ◽  
Nearest Neighbor ◽  
Naive Bayes ◽  
Predictive Performance ◽  
Naïve Bayes ◽  
Risk Scores ◽  
Predictive Score ◽  
Intermediate Risk ◽  
Ventricular Tachyarrhythmias

Introduction: The management of Brugada Syndrome (BrS) patients at intermediate risk of arrhythmic events remains controversial. The present study evaluated the predictive performance of different risk scores in an Asian BrS population and its intermediate risk subgroup. Methods: This is a retrospective territory-wide cohort study of consecutive patients diagnosed with BrS from January 1st, 1997 to June 20th, 2020 in Hong Kong. The primary outcome is sustained ventricular tachyarrhythmias. A novel predictive score was developed. Machine learning-based nearest neighbor and Gaussian Naive Bayes models were also developed. The area under the receiver operator characteristic (ROC) curve (AUC) was compared between the different scores. Results: The cohort consists of 548 consecutive BrS patients (7% female, age at diagnosis: 50+/-16 years old, follow-up duration: 84+/-55 months). For risk stratification in the whole BrS cohort, the score developed by Sieira et al. showed the best performance with an AUC of 0.805, followed by the Shanghai score (0.698), and the scores by Okamura et al. (0.667), Delise et al. (0.661), Letsas et al. (0.656) and Honarbakhsh et al. (0.592). A novel risk score was developed based on variables and weighting from the best performing score (the Sieira score), with the inclusion of additional variables significant on univariable Cox regression (arrhythmias other than ventricular tachyarrhythmias, early repolarization pattern in the peripheral leads, aVR sign, S-wave in lead I and QTc ≥436 ms). This score has the highest AUC of 0.855 (95% CI: 0.808-0.901). The Gaussian Naive Bayes model demonstrated the best performance (AUC: 0.97) compared to logistic regression and nearest neighbor models. Conclusion: The inclusion of investigation results and more complex models are needed to improve the predictive performance of risk scores in the intermediate risk BrS population.

218 C-reactive protein: a new marker of arrhythmic event in Brugada syndrome?

2011 ◽  
Vol 3 (1) ◽  
pp. 70
Author(s):  
Aimé Bonny ◽  
Fabrice Larrazet ◽  
Ivo Ditah ◽  
Françoise Hidden-Lucet ◽  
Guy Fontaine ◽  
...  
Keyword(s):  
Brugada Syndrome ◽  
Protein A ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Arrhythmic Event

A Pooled Analysis of the Prognostic Significance of Brugada Syndrome with Atrial Fibrillation

2020 ◽  
Vol 26 (1) ◽  
pp. 129-137 ◽  
Author(s):  
Chao Tian ◽  
Na An ◽  
Mengchen Yuan ◽  
Liqin Wang ◽  
Hanlai Zhang ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Stratification ◽  
Brugada Syndrome ◽  
Meta Analysis ◽  
Prognostic Significance ◽  
Pooled Analysis ◽  
European Studies ◽  
Arrhythmic Death ◽  
Increased Risk ◽  
Japanese Studies

Background: Guidelines have previously suggested that atrial fibrillation (AF) is associated with an increased risk of arrhythmic death in Brugada syndrome (BrS) patients. However, only two articles consisting of 17 AF patients with BrS supported these views. The risk stratification of BrS patients with AF remains controversial. Thus, a meta-analysis is used to estimate the risk stratification of BrS patients with AF. Methods: We searched for relevant studies published from 2000 to December 30, 2018. A total of 1712 patients with BrS from five studies were included: 200 patients (12%) were reported with AF, among whom 37 patients (19%) had arrhythmic events. Results: BrS patients with AF in all studies (OR 1.92, 95% CI:0.91to 4.04, P =0.09; Heterogeneity: P = 0.03, I2=61%) and some European studies (OR 1.12, 95% CI: 0.18 to 6.94, P=0.91; Heterogeneity: P = 0.006, I2=80%) did not display a higher risk of arrhythmic events than those without AF, but BrS patients with AF in Japanese studies (OR 2.32, 95% CI: 1.37 to 3.93, P=0.002; Heterogeneity: P = 0.40, I2=0%) had a higher risk of arrhythmic events than those without AF. The proportion of BrS patients with AF was greater in Japanese studies than in some European studies (16% vs. 9%, P<0.001). Conclusions: On the whole, BrS patients with AF showed no higher risk of arrhythmic events than those without AF, but BrS patients with AF in Japan had a higher risk of arrhythmic events than those without AF.

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