MSA-VT Score for Assessment of Long-Term Prognosis after Electrical Storm Ablation

Author:

Vatasescu Radu12ORCID,Cojocaru Cosmin12ORCID,Gondos Viviana3,Iorgulescu Corneliu2,Bogdan Stefan14,Onciul Sebastian12ORCID,Berruezo Antonio5

Affiliation:

1. Department of Cardiothoracic Pathology, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 050474 Bucharest, Romania

2. Cardiology Department, Clinical Emergency Hospital of Bucharest, 014461 Bucharest, Romania

3. Department of Medical Electronics and Informatics, Polytechnic University, 060042 Bucharest, Romania

4. Cardiology Department, Elias University Emergency Hospital, 011461 Bucharest, Romania

5. Heart Institute, Teknon Medical Center, C/Vilana, 12, 08022 Barcelona, Spain

Abstract

Introduction: Prognosis after electrical storm (ES) ablation remains severe, especially in patients with recurrent sustained monomorphic ventricular tachycardia (SMVT) or progressive heart failure (HF). However, single-factor-based prediction is suboptimal and may be refined by more complex algorithms. We sought to evaluate if a novel score MSA-VT (M = moderate/severe mitral regurgitation, S = severe HF at admission, A = atrial fibrillation at admission, VT = inducible SMVT after ablation) may improve prediction of death and recurrences compared to single factors and previous scores (PAINESD, RIVA and I-VT). Methods: A total of 101 consecutive ES ablation patients were retrospectively analyzed over a 32.8-month (IQR 10-68) interval. The MSA-VT score was calculated as the sum of the previously mentioned factors’ coefficients based on hazard ratio values in Cox regression analysis. The AUC for death prediction by MSA-VT was 0.84 (p < 0.001), superior to PAINESD (AUC 0.63, p = 0.03), RIVA (AUC 0.69, p = 0.02) and I-VT (0.56, p = 0.3). MSA-VT ≥ 3 was associated with significantly higher mortality during follow-up (52.7%, p < 0.001). Conclusions: Prediction by single factors and previously published scores after ES ablation may be improved by the novel MSA-VT score; however, this requires further external validation in larger samples.

Funder

University of Medicine and Pharmacy Carol Davila

Publisher

MDPI AG

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