Competing risks of monomorphic vs. non-monomorphic ventricular arrhythmias in primary prevention implantable cardioverter–defibrillator recipients: Global Electrical Heterogeneity and Clinical Outcomes (GEHCO) study

EP Europace Journal

4 May 2024
Organised by: Logo
ESC Journals ARRHYTHMIAS AND DEVICE THERAPY Research Methodology HEART FAILURE Chronic Heart Failure Device Therapy

Abstract

AbstractAims

Ablation of monomorphic ventricular tachycardia (MMVT) has been shown to reduce shock frequency and improve survival. We aimed to compare cause-specific risk factors for MMVT and polymorphic ventricular tachycardia (PVT)/ventricular fibrillation (VF) and to develop predictive models.

Methods and results

The multicentre retrospective cohort study included 2668 patients (age 63.1 ± 13.0 years; 23% female; 78% white; 43% non-ischaemic cardiomyopathy; left ventricular ejection fraction 28.2 ± 11.1%). Cox models were adjusted for demographic characteristics, heart failure severity and treatment, device programming, and electrocardiogram metrics. Global electrical heterogeneity was measured by spatial QRS-T angle (QRSTa), spatial ventricular gradient elevation (SVGel), azimuth, magnitude (SVGmag), and sum absolute QRST integral (SAIQRST). We compared the out-of-sample performance of the lasso and elastic net for Cox proportional hazards and the Fine–Gray competing risk model. During a median follow-up of 4 years, 359 patients experienced their first sustained MMVT with appropriate implantable cardioverter–defibrillator (ICD) therapy, and 129 patients had their first PVT/VF with appropriate ICD shock. The risk of MMVT was associated with wider QRSTa [hazard ratio (HR) 1.16; 95% confidence interval (CI) 1.01–1.34], larger SVGel (HR 1.17; 95% CI 1.05–1.30), and smaller SVGmag (HR 0.74; 95% CI 0.63–0.86) and SAIQRST (HR 0.84; 95% CI 0.71–0.99). The best-performing 3-year competing risk Fine–Gray model for MMVT [time-dependent area under the receiver operating characteristic curve (ROC(t)AUC) 0.728; 95% CI 0.668–0.788] identified high-risk (> 50%) patients with 75% sensitivity and 65% specificity, and PVT/VF prediction model had ROC(t)AUC 0.915 (95% CI 0.868–0.962), both satisfactory calibration.

Conclusion

We developed and validated models to predict the competing risks of MMVT or PVT/VF that could inform procedural planning and future randomized controlled trials of prophylactic ventricular tachycardia ablation.

Clinical Trial Registration

URL:www.clinicaltrials.gov Unique identifier:NCT03210883.

Contributors

Larisa G Tereshchenko
Larisa G Tereshchenko

Author

Cleveland Clinic Cleveland , United States of America

Sanjiv M Narayan
Sanjiv M Narayan

Author

Stanford University School of Medicine Palo Alto , United States of America

Sumeet S Chugh
Sumeet S Chugh

Author

Cedars-Sinai Health System Los Angeles , United States of America

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