Abstract

Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Ministère de la Santé Française Background Arrhythmic risk stratification remains a major challenge in asymptomatic Brugada patients. Many studies have evaluated risk stratification performance based on a single or a few ECG-derived parameters measured manually. We aimed to assess the predictive value of multi ECG parameters measured automatically in patients with Brugada syndrome. Materials and Methods We performed a prospective, multicenter cohort study including Brugada patients with at least one available type 1 ECG (either spontaneously or drug-induced) between January 2005 and November 2021. Paper ECG were first digitized and then automatically analyzed using the Glasgow and Bravo algorithms (included in the logiciel CalECG). Clinical data and Brugada related events at diagnosis and during follow-up were collected. Sudden cardiac death, aborted cardiac arrest and appropriate ICD therapy in the VF zone were considered as major events. The predictive value of clinical and ECG parameters for symptomatic status was assessed using uni- and multivariate Cox models. Results ECGs from 301 Brugada patients (77% male, mean age at diagnosis 43 years, follow-up 7±5.6 years) were analyzed. Brugada-related symptoms (cardiac syncope or major event) occurred in 23% of patients before diagnosis and 11% during follow-up (incidence: 1.57%/year). After multivariate Cox analysis, only 2 baseline ECG (without Ajmaline) parameters were significantly associated with major events: RR interval (HR=1.01 (95%CI [1-1.01]), p=0.002) and QRS duration in lead V1 (HR=1.04 (95%CI [1-1.07]), p=0.038). QRS prolongation in lead V1 >113 ms (AUROC 0.69 (95% CI [0.58-0.8])) was associated with a 3-fold increased risk of major event (HR =3.49 (95% CI [1.72-7.09]), p=0.001). Conclusion Many previously described ECG parameter were not associated with major event in Brugada patients after multi-parameter evaluation. Sinus rate and QRS duration on lead V1 were independent risk factor. These results need to be validated on an external cohort. The predictive value of ECG parameters in Brugada syndrome should be assessed using automated multiparametric quantification.

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