Key result
Survival tree analysis identifies distinct risk groups predicting ~65% survival for high-risk VT ablation patients.
Why the study?
The effect of concurrent risk factors for arrhythmia recurrence and mortality following VT ablation had not been assessed, precluding risk estimation in patients with multiple comorbidities.
Can a Survival Tree-based predictive score identify distinct risk profiles for mortality and recurrence in patients undergoing ventricular tachycardia ablation?
Population
1251 patients undergoing VT ablation
Comparison
16 demographic, clinical, and procedure-related variables evaluated via Survival Tree analysis
Design
Derivation and internal validation study using Survival Tree analysis
Authors
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May support risk stratification after VT ablation; hypothesis-generating and requires prospective validation before clinical use.
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.
Vergara et al. (2018) 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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