Gabriel Balaban1, Brian P Halliday2, Bradley Porter3, Wenjia Bai4, Ståle Nygåard5, Ruth Owen6, Suzan Hatipoglu7, Nuno Dias Ferreira7, Cemil Izgi7, Upasana Tayal7, Ben Corden8, James Ware8, Dudley J Pennell2, Daniel Rueckert4, Gernot Plank9, Christopher A Rinaldi3, Sanjay K Prasad2, Martin J Bishop10. 1. Department of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom; Department of Informatics, University of Oslo, Oslo, Norway. 2. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom; National Heart and Lung Institute, Imperial College London, London, United Kingdom. 3. Department of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom; Department of Cardiology, St Thomas' Hospital, London, United Kingdom. 4. Department of Computer Science, Imperial College London, United Kingdom. 5. Department of Informatics, University of Oslo, Oslo, Norway. 6. London School of Hygiene and Tropical Medicine, London, United Kingdom. 7. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, United Kingdom. 8. National Heart and Lung Institute, Imperial College London, London, United Kingdom. 9. Institute of Biophysics, Medical University of Graz, Graz, Austria. 10. Department of Biomedical Engineering, School of Biomedical & Imaging Sciences, King's College London, United Kingdom. Electronic address: martin.bishop@kcl.ac.uk.
Abstract
OBJECTIVES: This study sought to investigate whether shape-based late gadolinium enhancement (LGE) metrics and simulations of re-entrant electrical activity are associated with arrhythmic events in patients with nonischemic dilated cardiomyopathy (NIDCM). BACKGROUND: The presence of LGE predicts life-threatening ventricular arrhythmias in NIDCM; however, risk stratification remains imprecise. LGE shape and simulations of electrical activity may be able to provide additional prognostic information. METHODS: Cardiac magnetic resonance (CMR)-LGE shape metrics were computed for a cohort of 156 patients with NIDCM and visible LGE and tested retrospectively for an association with an arrhythmic composite endpoint of sudden cardiac death and ventricular tachycardia. Computational models were created from images and used in conjunction with simulated stimulation protocols to assess the potential for re-entry induction in each patient's scar morphology. A mechanistic analysis of the simulations was carried out to explain the associations. RESULTS: During a median follow-up of 1,611 (interquartile range: 881 to 2,341) days, 16 patients (10.3%) met the primary endpoint. In an inverse probability weighted Cox regression, the LGE-myocardial interface area (hazard ratio [HR]: 1.75; 95% confidence interval [CI]: 1.24 to 2.47; p = 0.001), number of simulated re-entries (HR: 1.40; 95% CI: 1.23 to 1.59; p < 0.01) and LGE volume (HR: 1.44; 95% CI: 1.07 to 1.94; p = 0.02) were associated with arrhythmic events. Computational modeling revealed repolarization heterogeneity and rate-dependent block of electrical wavefronts at the LGE-myocardial interface as putative arrhythmogenic mechanisms directly related to the LGE interface area. CONCLUSIONS: The area of interface between scar and surviving myocardium, as well as simulated re-entrant activity, are associated with an elevated risk of major arrhythmic events in patients with NIDCM and LGE and represent novel risk predictors.
OBJECTIVES: This study sought to investigate whether shape-based late gadolinium enhancement (LGE) metrics and simulations of re-entrant electrical activity are associated with arrhythmic events in patients with nonischemic dilated cardiomyopathy (NIDCM). BACKGROUND: The presence of LGE predicts life-threatening ventricular arrhythmias in NIDCM; however, risk stratification remains imprecise. LGE shape and simulations of electrical activity may be able to provide additional prognostic information. METHODS: Cardiac magnetic resonance (CMR)-LGE shape metrics were computed for a cohort of 156 patients with NIDCM and visible LGE and tested retrospectively for an association with an arrhythmic composite endpoint of sudden cardiac death and ventricular tachycardia. Computational models were created from images and used in conjunction with simulated stimulation protocols to assess the potential for re-entry induction in each patient's scar morphology. A mechanistic analysis of the simulations was carried out to explain the associations. RESULTS: During a median follow-up of 1,611 (interquartile range: 881 to 2,341) days, 16 patients (10.3%) met the primary endpoint. In an inverse probability weighted Cox regression, the LGE-myocardial interface area (hazard ratio [HR]: 1.75; 95% confidence interval [CI]: 1.24 to 2.47; p = 0.001), number of simulated re-entries (HR: 1.40; 95% CI: 1.23 to 1.59; p < 0.01) and LGE volume (HR: 1.44; 95% CI: 1.07 to 1.94; p = 0.02) were associated with arrhythmic events. Computational modeling revealed repolarization heterogeneity and rate-dependent block of electrical wavefronts at the LGE-myocardial interface as putative arrhythmogenic mechanisms directly related to the LGE interface area. CONCLUSIONS: The area of interface between scar and surviving myocardium, as well as simulated re-entrant activity, are associated with an elevated risk of major arrhythmic events in patients with NIDCM and LGE and represent novel risk predictors.
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