A Survival Tree analysis identified three distinct risk groups for patients undergoing VT ablation, with survival rates of 65.0%, 84.0%, and 97.2% in the high-, medium-, and low-risk groups.
Cohort (n=1,251)
Can a Survival Tree-based predictive score identify distinct risk profiles for mortality and recurrence in patients undergoing ventricular tachycardia ablation?
A novel Survival Tree-based decisional model effectively stratifies patients undergoing VT ablation into three distinct risk groups for mortality and arrhythmia recurrence based on factors like LVEF, prior ablation, and device presence.
BACKGROUND: Several distinct risk factors for arrhythmia recurrence and mortality following ventricular tachycardia (VT) ablation have been described. The effect of concurrent risk factors has not been assessed so far; thus, it is not yet possible to estimate these risks for a patient with several comorbidities. The aim of the study was to identify specific risk groups for mortality and VT recurrence using the Survival Tree (ST) analysis method. METHODS: In 1251 patients 16 demographic, clinical and procedure-related variables were evaluated as potential prognostic factors using ST analysis using a recursive partitioning algorithm that searches for relationships among variables. Survival time and time to VT recurrence in groups derived from ST analysis were compared by a log-rank test. A random forest analysis was then run to extract a variable importance index and internally validate the ST models. RESULTS: Left ventricular ejection fraction, implantable cardioverter defibrillator/cardiac resynchronization device, previous ablation were, in hierarchical order, identified by ST analysis as best predictors of VT recurrence, while left ventricular ejection fraction, previous ablation, Electrical storm were identified as best predictors of mortality. Three groups with significantly different survival rates were identified. Among the high-risk group, 65.0% patients were survived and 52.1% patients were free from VT recurrence; within the medium- and low-risk groups, 84.0% and 97.2% patients survived, 72.4% and 88.4% were free from VT recurrence, respectively. CONCLUSIONS: Our study is the first to derive and validate a decisional model that provides estimates of VT recurrence and mortality with an effective classification tree. Preprocedure risk stratification could help optimize periprocedural and postprocedural care.
Vergara et al. (Sat,) conducted a cohort in Ventricular tachycardia (n=1,251). Survival Tree (ST) analysis risk stratification was evaluated on Mortality and VT recurrence. A Survival Tree analysis identified three distinct risk groups for patients undergoing VT ablation, with survival rates of 65.0%, 84.0%, and 97.2% in the high-, medium-, and low-risk groups.
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