Please assess the completion status of the following clinical trial:

Trial Title: Epicardial Ablation in Brugada Syndrome

Study Design Characteristics:
- Allocation: None
- Intervention Model: SINGLE_GROUP
- Observational Model: None
- Primary Purpose: TREATMENT
- Time Perspective: None
- Masking: NONE
- Phase: None
- Number of Arms: 1.0

Eligibility Criteria:
Inclusion Criteria:~* Patients affected by Brugada Syndrome, profiled by genetic testing, with documented spontaneous or drug-induced type I BrS ECG pattern, with symptoms attributable to ventricular arrhythmias and presenting multiple documented arrhythmic episodes~* Patients with an ICD already implanted~* Patients referred to the center for an electrophysiological study and indication to a potential concomitant radio-frequency catheter ablation (RFA) of ventricular arrhythmia or ventricular fibrillation~* Age ≥ 18~* Willingness to attend follow-up examinations~* Written informed consent to the participation in the trial~Exclusion Criteria:~* Pregnancy or breast-feeding~* Patients with low arrhythmic risk (Brugada pattern III)~* Life expectancy \< 12 months.

- Gender: ALL
- Minimum Age: 18 Years
- Maximum Age: None
- Healthy Volunteers: f

Study Arms:
- mapping/ablation (Type: EXPERIMENTAL): Epicardial substrate identification consisted in mapping the entire RV epicardial surface under baseline conditions and after ajmaline infusion (1mg/kg in 5 minutes).We obtained 3 groups of RV epicardial maps using CARTO3 system: 1) bipolar/unipolar voltage map, 2) local activation time map (LAT), and 3) potential duration map (PDM), in which abnormal long-duration bipolar electrograms were defined as low-frequency (up to 100 Hz) prolonged duration (\> 200 ms) bipolar signals with delayed activity extending beyond the end of the QRS complex. Epicardial ablation was performed during sinus rhythm using a stepwise strategy in a descending order of abnormal potential duration as displayed on the map and beginning from the longest potentials.

Based on this trial design, predict the completion outcome and termination type (if applicable).