Literature DB >> 25230363

T-wave area predicts response to cardiac resynchronization therapy in patients with left bundle branch block.

Elien B Engels1, Eszter M Végh, Caroline J M Van Deursen, Kevin Vernooy, Jagmeet P Singh, Frits W Prinzen.   

Abstract

INTRODUCTION: Chronic heart failure patients with a left ventricular (LV) conduction delay, mostly due to left bundle branch block (LBBB), generally derive benefit from cardiac resynchronization therapy (CRT). However, 30-50% of patients do not show a clear response to CRT. We investigated whether T-wave analysis of the ECG can improve patient selection. METHODS AND
RESULTS: The study population comprised 244 CRT recipients with baseline 12-lead electrocardiogram recordings. Echocardiographic response after 6-month CRT was defined as a ≥5% increase in LV ejection fraction (LVEF). Vectorcardiograms (VCGs) were constructed from the measured 12-lead ECGs using an adapted Kors algorithm on digitized ECGs. Logistic regression models indicated repolarization variables as good predictors of CRT response. The VCG-derived T-wave area predicted CRT response (odds ratio [OR] per 10 μVs increase 1.172 [P < 0.001]) even better than QRS-wave area (OR = 1.116 [P = 0.001]). T-wave area had especially predictive value in the LBBB patient group (OR = 2.77 in LBBB vs. 1.09 in non-LBBB). This predictive value persisted after adjustment of multiple covariates, such as gender, ischemia, age, hypertension, coronary artery bypass graft, and the usage of diuretics and β-blockers. In LBBB patients, the increase in LVEF was 6.1 ± 9.7% and 11.3 ± 9.1% in patients with T-wave area below and above the median value, respectively (P < 0.01).
CONCLUSION: In patients with LBBB morphology of the QRS complex, a larger baseline T-wave area is an important independent predictor of LVEF increase following CRT.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  T wave; biventricular pacing; cardiac resynchronization therapy; electrocardiography; heart failure; left bundle branch block

Mesh:

Year:  2014        PMID: 25230363     DOI: 10.1111/jce.12549

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  6 in total

1.  Early prediction of cardiac resynchronization therapy response by non-invasive electrocardiogram markers.

Authors:  Nuria Ortigosa; Víctor Pérez-Roselló; Víctor Donoso; Joaquín Osca; Luis Martínez-Dolz; Carmen Fernández; Antonio Galbis
Journal:  Med Biol Eng Comput       Date:  2017-08-24       Impact factor: 2.602

2.  Lead one ratio: A new electrocardiogram marker for cardiac resynchronization therapy response.

Authors:  Ajay Raj; Ranjit Kumar Nath; Bhagya Narayan Pandit; Ajay Pratap Singh; Neeraj Pandit; Puneet Aggarwal
Journal:  ARYA Atheroscler       Date:  2021-09

Review 3.  Toward Sex-Specific Guidelines for Cardiac Resynchronization Therapy?

Authors:  Robbert Zusterzeel; Kimberly A Selzman; William E Sanders; Kathryn M O'Callaghan; Daniel A Caños; Kevin Vernooy; Frits W Prinzen; Anton P M Gorgels; David G Strauss
Journal:  J Cardiovasc Transl Res       Date:  2015-12-10       Impact factor: 4.132

4.  A single-centre prospective evaluation of left bundle branch area pacemaker implantation characteristics.

Authors:  L I B Heckman; J G L M Luermans; M Jastrzębski; B Weijs; A M W Van Stipdonk; S Westra; D den Uijl; D Linz; M Mafi-Rad; F W Prinzen; K Vernooy
Journal:  Neth Heart J       Date:  2022-04-05       Impact factor: 2.854

Review 5.  Why QRS Duration Should Be Replaced by Better Measures of Electrical Activation to Improve Patient Selection for Cardiac Resynchronization Therapy.

Authors:  Elien B Engels; Masih Mafi-Rad; Antonius M W van Stipdonk; Kevin Vernooy; Frits W Prinzen
Journal:  J Cardiovasc Transl Res       Date:  2016-05-26       Impact factor: 4.132

6.  A computational investigation into rate-dependant vectorcardiogram changes due to specific fibrosis patterns in non-ischæmic dilated cardiomyopathy.

Authors:  Philip M Gemmell; Karli Gillette; Gabriel Balaban; Ronak Rajani; Edward J Vigmond; Gernot Plank; Martin J Bishop
Journal:  Comput Biol Med       Date:  2020-07-04       Impact factor: 4.589

  6 in total

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