Three-Dimensional Late Gadolinium Enhancement Cardiovascular Magnetic Resonance Predicts Inducibility of Ventricular Tachycardia in Adults With Repaired Tetralogy of Fallot
Year: 2020
Type: article
Study design: Observational Study
Abstract: Background: Adults with repaired tetralogy of Fallot die prematurely from ventricular tachycardia (VT) and sudden cardiac death. Inducible VT predicts mortality. Ventricular scar, the key substrate for VT, can be noninvasively defined with late gadolinium enhancement (LGE) cardiovascular magnetic resonance but whether this relates to inducible VT is unknown. Methods: Sixty-nine consecutive repaired tetralogy of Fallot patients (43 male, mean 40±15 years) clinically scheduled for invasive programmed VT-stimulation were prospectively recruited for prior 3-dimensional LGE cardiovascular magnetic resonance. Ventricular LGE was segmented and merged with reconstructed cardiac chambers and LGE volume measured. Results: VT was induced in 22 (31%) patients. Univariable predictors of inducible VT included increased RV LGE (odds ratio [OR], 1.15; P =0.001 per cm 3 ), increased nonapical vent LV LGE (OR, 1.09; P =0.008 per cm 3 ), older age (OR, 1.6; P =0.01 per decile), QRS duration ≥180 ms (OR, 3.5; P =0.02), history of nonsustained VT (OR, 3.5; P =0.02), and previous clinical sustained VT (OR, 12.8; P =0.003); only prior sustained VT (OR, 8.02; P =0.02) remained independent in bivariable analyses after controlling for RV LGE volume (OR, 1.14; P =0.003). An RV LGE volume of 25 cm 3 had 72% sensitivity and 81% specificity for predicting inducible VT (area under the curve, 0.81; P <0.001). At the extreme cutoffs for ruling-out and ruling-in inducible VT, RV LGE >10 cm 3 was 100% sensitive and >36 cm 3 was 100% specific for predicting inducible VT. Conclusions: Three-dimensional LGE cardiovascular magnetic resonance-defined scar burden is independently associated with inducible VT and may help refine patient selection for programmed VT-stimulation when applied to an at least intermediate clinical risk cohort.
Authors: Sarah Ghonim, Sabine Ernst, Jenny Keegan, Archontis Giannakidis, Veronica Spadotto, Inga Voges, Gillian C. Smith, Maria Boutsikou, Claudia Montanaro, Tom Wong, Siew Yen Ho, Karen P. McCarthy, Darryl F. Shore, Konstantinos Dimopoulos, Anselm Uebing, Lorna Swan, Wei Li, Dudley J. Pennell, Michael A. Gatzoulis, Sonya V. Babu-Narayan
Institutions: Royal Brompton Hospital, Imperial College London
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Funder: British Heart Foundation
OpenAlex ID: W3092623943
