Literature DB >> 23542361

Delayed intrinsicoid deflection onset in surface ECG lateral leads predicts left ventricular reverse remodeling after cardiac resynchronization therapy.

Freddy Del-Carpio Munoz1, Brian D Powell, Yong-Mei Cha, Heather J Wiste, Margaret M Redfield, Paul A Friedman, Samuel J Asirvatham.   

Abstract

BACKGROUND: Up to one-third of the patients who undergo cardiac resynchronization therapy (CRT) are not responders.
OBJECTIVE: To demonstrate that delayed lateral left ventricular activation time determined through time to intrinsicoid deflection onset (ID) predicts response after CRT.
METHODS: The ID in leads I, aVL, V₁ and V₂, and V₅ and V₆ were measured in 135 patients who underwent CRT. A CRT response was defined as a decrease in left ventricular end-systolic volume (LVESV) exceeding 15% at 6 months.
RESULTS: In patients with left bundle branch block or nonspecific intraventricular conduction delay, response was predicted by longer ID in lead I (odds ratio [OR] 3.23; 95% confidence interval (CI) 1.4-7.4; per 20-ms increase), in lead aVL (OR 3.0; 95% CI 1.2-7.3; per 20-ms increase), and in lead I minus lead V₁ (OR 2.4; 95% CI 1.2-4.7) adjusting for baseline QRS duration and LVESV. Results were similar after adjusting for postimplant or change in QRS duration. The ID parameters were better predictors of response than QRS duration parameters. ID in lead I/QRS duration ratio (OR 3.1; 95% CI 1.6-5.9) also increased the odds of response after adjusting for baseline LVESV. Cutoff values for ID in leads--I, 110 ms; aVL, 130 ms; I minus V₁, 90 ms--and ID in lead I/QRS duration ratio of 0.69 yielded a sensitivity and a specificity as high as 83% and 81%.
CONCLUSIONS: Measurement of ID on surface electrocardiography permits a preimplant, noninvasive means of determining left ventricle activation delay; is a good predictor of CRT response; and represents a promising alternative to QRS duration parameters. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2013        PMID: 23542361     DOI: 10.1016/j.hrthm.2013.03.045

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  13 in total

1.  Different Methods to Measure QRS Duration in CRT Patients: Impact on the Predictive Value of QRS Duration Parameters.

Authors:  Jan De Pooter; Milad El Haddad; Liesbeth Timmers; Frédéric Van Heuverswyn; Luc Jordaens; Mattias Duytschaever; Roland Stroobandt
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-09-22       Impact factor: 1.468

2.  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

3.  Electrocardiographic Time to Intrinsicoid Deflection and Heart Failure: The Multi-Ethnic Study of Atherosclerosis.

Authors:  Wesley T O'Neal; Waqas T Qureshi; Saman Nazarian; Nadine Kawel-Boehm; David A Bluemke; Joao A C Lima; Elsayed Z Soliman
Journal:  Clin Cardiol       Date:  2016-08-23       Impact factor: 2.882

Review 4.  R-Peak Time: An Electrocardiographic Parameter with Multiple Clinical Applications.

Authors:  Andrés Ricardo Pérez-Riera; Luiz Carlos de Abreu; Raimundo Barbosa-Barros; Kjell C Nikus; Adrian Baranchuk
Journal:  Ann Noninvasive Electrocardiol       Date:  2015-11-02       Impact factor: 1.468

5.  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

Review 6.  Ventricular pacing - Electromechanical consequences and valvular function.

Authors:  Elisa Ebrille; Christopher V DeSimone; Vaibhav R Vaidya; Anwar A Chahal; Vuyisile T Nkomo; Samuel J Asirvatham
Journal:  Indian Pacing Electrophysiol J       Date:  2016-03-04

7.  Paced QRS morphology predicts incident left ventricular systolic dysfunction and atrial fibrillation.

Authors:  Martin van Zyl; Chance M Witt; Subir Bhatia; Majd Khasawneh; Prakriti Gaba; Charles J Lenz; Andrew N Rosenbaum; Htin Aung; David O Hodge; Christopher J McLeod; Samuel J Asirvatham
Journal:  Indian Pacing Electrophysiol J       Date:  2019-03-08

8.  Electrocardiographic markers of cardiac resynchronization therapy response: delayed time to intrinsicoid deflection onset in lateral leads.

Authors:  Rubén Ka Tapia-Orihuela; S Michael Gharacholou; Samuel J Asirvatham; Freddy Del-Carpio Munoz
Journal:  J Geriatr Cardiol       Date:  2022-01-28       Impact factor: 3.327

9.  Novel electrocardiographic dyssynchrony criteria that may improve patient selection for cardiac resynchronization therapy.

Authors:  Gábor Katona; András Vereckei
Journal:  J Geriatr Cardiol       Date:  2022-01-28       Impact factor: 3.327

10.  Comparative effects of left bundle branch area pacing, His bundle pacing, biventricular pacing in patients requiring cardiac resynchronization therapy: A network meta-analysis.

Authors:  Juan Hua; Chenxi Wang; Qiling Kong; Yichu Zhang; Qijun Wang; Ziyi Xiong; Jinzhu Hu; Juxiang Li; Qi Chen; Kui Hong
Journal:  Clin Cardiol       Date:  2022-02-07       Impact factor: 2.882

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