Mortality prediction using a modified Seattle Heart Failure Model may improve patient selection for ventricular...

Area of Science:

• Cardiology
• Medical Informatics

Background:

• Catheter ablation is a palliative treatment for ventricular tachycardia (VT).
• Accurate short-term survival prediction is crucial for patient selection in VT ablation.

Purpose of the Study:

• To evaluate the Seattle Heart Failure Model (SHFM) for predicting 6-month mortality in patients undergoing VT ablation.
• To assess the SHFM's calibration and discrimination for short-term mortality prediction in this cohort.

Main Methods:

• Retrospective analysis of 243 patients undergoing VT ablation at two tertiary institutions.
• Utilized the SHFM score, augmented with two VT-specific variables, to predict 6-month mortality.
• Assessed model calibration using predicted-to-observed death ratios and discrimination using K- and C-statistics.

Main Results:

• The SHFM demonstrated good calibration with a predicted-to-observed death ratio of 0.91.
• The model showed strong discrimination for 6-month mortality, with a C-statistic of 0.84.
• Patients with an SHFM score ≥4.0 had an 80% positive predictive value for 6-month mortality.

Conclusions:

• The SHFM is a well-calibrated and discriminatory tool for predicting short-term mortality in VT ablation patients.
• The SHFM can serve as a valuable prognostic instrument to optimize patient selection for VT ablation procedures.