Literature DB >> 25453196

Vectorcardiographic QRS area as a novel predictor of response to cardiac resynchronization therapy.

Caroline J M van Deursen1, Kevin Vernooy2, Elton Dudink2, Lennart Bergfeldt3, Harry J G M Crijns2, Frits W Prinzen4, Liliane Wecke5.   

Abstract

BACKGROUND: QRS duration and left bundle branch block (LBBB) morphology are used to select patients for cardiac resynchronization therapy (CRT). We investigated whether the area of the QRS complex (QRSAREA) on the 3-dimensional vectorcardiogram (VCG) can improve patient selection.
METHODS: VCG (Frank orthogonal lead system) was recorded prior to CRT device implantation in 81 consecutive patients. VCG parameters, including QRSAREA, were assessed, and compared to QRS duration and morphology. Three LBBB definitions were used, differing in requirement of mid-QRS notching. Responders to CRT (CRT-R) were defined as patients with ≥15% reduction in left ventricular end systolic volume after 6months of CRT.
RESULTS: Fifty-seven patients (70%) were CRT-R. QRSAREA was larger in CRT-R than in CRT non-responders (140±42 vs 100±40 μVs, p<0.001) and predicted CRT response better than QRS duration (AUC 0.78 vs 0.62, p=0.030). With a 98μVs cutoff value, QRSAREA identified CRT-R with an odds ratio (OR) of 10.2 and a 95% confidence interval (CI) of 3.4 to 31.1. This OR was higher than that for QRS duration >156ms (OR=2.5; 95% CI 0.9 to 6.6), conventional LBBB classification (OR=5.5; 95% CI 0.9 to 32.4) or LBBB classification according to American guidelines (OR=4.5; 95% CI 1.6 to 12.6) or Strauss (OR=10.0; 95% CI 3.2 to 31.1).
CONCLUSION: QRSAREA is an objective electrophysiological predictor of CRT response that performs at least as good as the most refined definition of LBBB. CONDENSED ABSTRACT: In 81 candidates for cardiac resynchronization therapy (CRT) we measured the area of the QRS complex (QRSAREA) using 3-dimensional vectorcardiography. QRSAREA was larger in echocardiographic responders than in non-responders and predicted CRT response better than QRS duration and than simple LBBB criteria. QRSAREA is a promising electrophysiological predictor of CRT response.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiac resynchronization therapy; QRS area; Vectorcardiography

Mesh:

Year:  2014        PMID: 25453196     DOI: 10.1016/j.jelectrocard.2014.10.003

Source DB:  PubMed          Journal:  J Electrocardiol        ISSN: 0022-0736            Impact factor:   1.438


  24 in total

1.  Novel measure of electrical dyssynchrony predicts response in cardiac resynchronization therapy: Results from the SMART-AV Trial.

Authors:  Larisa G Tereshchenko; Alan Cheng; Jason Park; Nicholas Wold; Timothy E Meyer; Michael R Gold; Suneet Mittal; Jagmeet Singh; Kenneth M Stein; Kenneth A Ellenbogen
Journal:  Heart Rhythm       Date:  2015-08-10       Impact factor: 6.343

2.  Relationships between electrical and mechanical dyssynchrony in patients with left bundle branch block and healthy controls.

Authors:  Saara Sillanmäki; Jukka A Lipponen; Mika P Tarvainen; Tiina Laitinen; Marja Hedman; Antti Hedman; Antti Kivelä; Hanna Hämäläinen; Tomi Laitinen
Journal:  J Nucl Cardiol       Date:  2018-02-08       Impact factor: 5.952

3.  Non-invasively quantified changes in left ventricular activation predict outcomes in patients undergoing cardiac resynchronization therapy.

Authors:  Daniel J Friedman; Kasper Emerek; Steen Møller Hansen; Christoffer Polcwiartek; Peter L Sørensen; Zak Loring; Joanne Sutter; Peter Søgaard; Joseph Kisslo; Claus Graff; Brett D Atwater
Journal:  J Cardiovasc Electrophysiol       Date:  2019-10-08

4.  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

5.  Relation between electrical and mechanical dyssynchrony in patients with left bundle branch block: An electro- and vectorcardiographic study.

Authors:  Jan De Pooter; Milad El Haddad; Victor Kamoen; Thomas Tibin Kallupurackal; Roland Stroobandt; Marc De Buyzere; Frank Timmermans
Journal:  Ann Noninvasive Electrocardiol       Date:  2017-12-18       Impact factor: 1.468

6.  Vectorcardiographic QRS area is associated with long-term outcome after cardiac resynchronization therapy.

Authors:  Kasper Emerek; Daniel J Friedman; Peter Lyngø Sørensen; Steen Møller Hansen; Jacob Moesgaard Larsen; Niels Risum; Anna Margrethe Thøgersen; Claus Graff; Joseph Kisslo; Peter Søgaard; Brett D Atwater
Journal:  Heart Rhythm       Date:  2018-08-28       Impact factor: 6.343

Review 7.  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

8.  Usefulness of the Sum Absolute QRST Integral to Predict Outcomes in Patients Receiving Cardiac Resynchronization Therapy.

Authors:  Jonatan Jacobsson; Rasmus Borgquist; Christian Reitan; Elyar Ghafoori; Neal A Chatterjee; Muammar Kabir; Pyotr G Platonov; Jonas Carlson; Jagmeet P Singh; Larisa G Tereshchenko
Journal:  Am J Cardiol       Date:  2016-05-14       Impact factor: 2.778

9.  Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.

Authors:  Albert K Feeny; John Rickard; Kevin M Trulock; Divyang Patel; Saleem Toro; Laurie Ann Moennich; Niraj Varma; Mark J Niebauer; Eiran Z Gorodeski; Richard A Grimm; John Barnard; Anant Madabhushi; Mina K Chung
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-06-14

10.  Adjusting the QRS Duration by Body Mass Index for Prediction of Response to Cardiac Resynchronization Therapy: Does One QRS Size Fit All?

Authors:  Oguz Karaca; Mehmet O Omaygenc; Beytullah Cakal; Sinem D Cakal; Haci M Gunes; Erkam Olgun; Ersin Ibisoglu; Umeyir Savur; Tayyar Gokdeniz; Bilal Boztosun; Fethi Kilicaslan
Journal:  Ann Noninvasive Electrocardiol       Date:  2016-01-28       Impact factor: 1.468

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