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SHR Neuro Cancer Cardio Lipid Metab Microb

Zachariah, D; Nakajima, K; Limite, LR; Zweiker, D; Spartalis, M; Zirolia, D; Musto, M; D'Angelo, G; Paglino, G; Baratto, F; Cireddu, M; Bisceglia, C; Radinovic, A; Marzi, A; Sala, S; Peretto, G; Vergara, P; Gulletta, S; Mazzone, P; Della, Bella, P; Frontera, A.
Significance of abnormal and late ventricular signals in ventricular tachycardia ablation of ischemic and nonischemic cardiomyopathies.
Heart Rhythm. 2022; 19(12):2075-2083 Doi: 10.1016/j.hrthm.2022.08.008
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Co-authors Med Uni Graz: Zweiker David
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Abstract:: BACKGROUND: Abnormal ventricular signals (AVS) are the cornerstone of substrate-based ventricular tachycardia (VT) ablation in sinus rhythm. Signal characterization of AVS in ischemic and nonischemic cardiomyopathies has never been performed. OBJECTIVE: The purpose of this study was to describe ventricular signal abnormalities in 3 different pathologies and examine their association with the diastolic component of VT circuits. METHODS: A total of 45 patients (15 ischemic cardiomyopathy [ICM], 15 arrhythmogenic cardiomyopathy [ACM], 15 dilated cardiomyopathy [DCM]) who had undergone VT ablation with >50% of the diastolic pathway of the VT circuit recorded were studied. AVS were classified into late potentials (LPs) and continuous fractionated ventricular signals (CFVS), and their characteristics and correlation with the diastolic pathway of VT circuits were analyzed. RESULTS: Seventy-five VT circuits were analyzed. Bipolar scars were greatest in ICM endocardially (53 cm² ICM vs 36 cm² ACM vs 25 cm² DCM; P = .010) and in ACM epicardially (98 cm² ACM vs 25 cm² ICM vs 24 cm² DCM; P = .005). Location of the VT diastolic interval coincided with AVS location in 54% of VTs in ICM, 89% in ACM, and 72% in DCM (P = .036). There was a trend toward a greater association of diastolic intervals coinciding with LPs than with CFVS (78% vs 57%; P = .052) (69% diastolic intervals in ICM coincided with LPs, 33% with CFVS; P = .063). All patients (100%) with CFVS in ACM had VT diastolic components arising from CFVS (33% ICM, 64% DCM; P = .049). Positive predictive value for LPs vs CFVS was 77.8% vs 56.7%, and sensitivity was 67.3% vs 32.7%, respectively. CONCLUSION: The nature of abnormal signals in different cardiomyopathies reflects underlying pathology. LPs rather than CFVS seem to be more linked to diastolic components of VT circuits, especially in ICM. LPs have greater sensitivity and specificity for VT; however, CFVS may be of more relevance in ACM.
Find related publications in this database (Keywords): Arrhythmogenic cardiomyopathy; Dilated cardiomyopathy; Electrograms; Ischemic cardiomyopathy; Ventricular tachycardia