Left bundle branch block characterization depending on the frontal and horizontal QRS axes, and global and individual leads QRS duration: Is it useful for cardiac resynchronization therapy patient stratification?

2013 ◽  
Vol 46 (2) ◽  
pp. 156-157
Author(s):  
John E. Madias
2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A M W Van Stipdonk ◽  
M Dural ◽  
F Salden ◽  
I A H Ter Horst ◽  
H J G M Crijns ◽  
...  

Abstract Background The effectiveness of cardiac resynchronization therapy (CRT) in patients without left bundle branch block (non-LBBB) QRS morphology is limited, compared to those with LBBB. Still, a substantial part of these patients can benefit from therapy and additional selection criteria are needed to identify these patients. Purpose To evaluate the association of additional baseline 12-lead ECG features; with clinical and echocardiographic outcomes in CRT-treated non-LBBB patients. Methods Pre-implantation 12-lead ECGs from 790 consecutive non-LBBB CRT patients from 3 implanting centres in the Netherlands were evaluated for the presence of predefined ECG parameters. QRS morphology (right bundle branch block and intraventricular conduction delay), QRS duration (≥/<150ms), QRS area (≥/<109μVs), left ventricular activation time ((≥/<125ms), and the presence of fragmented QRS (fQRS). The association with the primary endpoint, the combination of left ventricular assist device implantation, cardiac transplantation and all-cause mortality, was evaluated. Results There was a significantly lower occurrence of the primary endpoint in non-LBBB patients with QRS area ≥109 μVs (p<0.001) and in those without fQRS present (p=0.004) (figure 1). Figure 1 Conclusion A large QRS area and the absence of fQRS are positively associated to event free survival in non-LBBB patients treated with CRT. Whereas currently used patient selection cut-off QRS duration is not associated to outcome in these patients. These data may provide additional value for the non-LBBB patient selection for CRT and warrant prospective evaluation of these ECG features. Acknowledgement/Funding None


2017 ◽  
Vol 119 (11) ◽  
pp. 1803-1808 ◽  
Author(s):  
Biagio Sassone ◽  
Matteo Bertini ◽  
Matteo Beltrami ◽  
Michele Malagù ◽  
Giovanni Pasanisi ◽  
...  

2018 ◽  
Vol 269 ◽  
pp. 165-169 ◽  
Author(s):  
Maria Luce Caputo ◽  
Antonius van Stipdonk ◽  
Annekatrin Illner ◽  
Gabriele D'Ambrosio ◽  
François Regoli ◽  
...  

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