Electrocardiographic predictors of left ventricular scar in athletes with right bundle branch block premature ventricular beats

Author:

Sciarra Luigi1ORCID,Golia Paolo2ORCID,Scarà Antonio13,Robles Antonio Gianluca1,De Maio Melissa2,Palamà Zefferino1,Borrelli Alessio3,Di Roma Mauro4,D’Arielli Alberto1,Calò Leonardo2ORCID,Gallina Sabina5ORCID,Ricci Fabrizio5ORCID,Delise Pietro6ORCID,Zorzi Alessandro7,Nesti Martina18ORCID,Romano Silvio1,Cavarretta Elena910ORCID

Affiliation:

1. Department of Clinical Medicine, Public Health, Life and Environmental Sciences, University of L’Aquila , piazzale Salvatore Tommasi 1, 67100 Coppito (AQ) , Italy

2. Department of Cardiology, Policlinico Casilino Hospital , Rome , Italy

3. Department of Cardiology, San Carlo di Nancy Hospital , Rome , Italy

4. Department of Radiology, Policlinico Casilino Hospital , Rome , Italy

5. Department of Neuroscience, Imaging and Clinical Sciences, Gabriele d’Annunzio University of Chieti-Pescara , Chieti , Italy

6. Division of Cardiology, Hospital ‘P. Pederzoli’ , Peschiera del Garda 37019 , Italy

7. Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova , Via Giustiniani, 2 , Padova 35121, Italy

8. Fondazione Toscana Gabriele Monasterio , Via Giuseppe Moruzzi, 1, 56124 Pisa , Italy

9. Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome , corso della Repubblica 79, 04100 Latina , Italy

10. Mediterranea Cardiocentro , Via Orazio, 2, 80122 Napoli , Italy

Abstract

Abstract Aims Right bundle branch block (RBBB) morphology non-sustained ventricular arrhythmias (VAs) have been associated with the presence of non-ischaemic left ventricular scar (NLVS) in athletes. The aim of this cross-sectional study was to identify clinical and electrocardiogram (ECG) predictors of the presence of NLVS in athletes with RBBB VAs. Methods and results Sixty-four athletes [median age 39 (24–53) years, 79% males] with non-sustained RBBB VAs underwent cardiac magnetic resonance (CMR) with late gadolinium enhancement in order to exclude the presence of a concealed structural heart disease. Thirty-six athletes (56%) showed NLVS at CMR and were assigned to the NLVS positive group, whereas 28 athletes (44%) to the NLVS negative group. Family history of cardiomyopathy and seven different ECG variables were statistically more prevalent in the NLVS positive group. At univariate analysis, seven ECG variables (low QRS voltages in limb leads, negative T waves in inferior leads, negative T waves in limb leads I–aVL, negative T waves in precordial leads V4–V6, presence of left posterior fascicular block, presence of pathologic Q waves, and poor R-wave progression in right precordial leads) proved to be statistically associated with the finding of NLVS; these were grouped together in a score. A score ≥2 was proved to be the optimal cut-off point, identifying NLVS athletes in 92% of cases and showing the best accuracy (86% sensitivity and 100% specificity, respectively). However, a cut-off ≥1 correctly identified all patients with NLVS (absence of false negatives). Conclusion In athletes with RBBB morphology non-sustained VAs, specific ECG abnormalities at 12-lead ECG can help in detecting subjects with NLVS at CMR.

Publisher

Oxford University Press (OUP)

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