Literature DB >> 31765805

Comparison of measures of ventricular delay on cardiac resynchronization therapy response.

Michael E Field1, Nancy Yu2, Nicholas Wold2, Michael R Gold3.   

Abstract

BACKGROUND: Left ventricular (LV) pacing at sites of prolonged LV delay (QLV) or at long interventricular delay (right ventricle [RV]-LV) is strongly associated with cardiac resynchronization therapy (CRT) response. QLV and RV-LV have been independently evaluated, but little is known regarding the interrelationship between these measures or of delay to the RV.
OBJECTIVE: The purpose of this study was to evaluate the relationship between measures of electrical delay on CRT response in the SMART-AV (SmartDelay Determined AV Optimization: A Comparison to Other AV Delay Methods Used in Cardiac Resynchronization Therapy) trial.
METHODS: In 419 patients, QLV and RV-LV were measured. CRT response was defined as a >15% reduction in LV end-systolic volume from implant to 6 months. The correlation between QLV and RV-LV and the clinical variables associated with the difference between QLV and RV-LV (QRV) were determined. Multivariable logistic regression was used to analyze the association between these measures on CRT response. A machine learning algorithm was used to construct a classification tree to predict response to CRT.
RESULTS: The cohort was 66% male (age 66 ± 11 years), 75% had left bundle branch block; and QRS was 150 ± 25 ms. QLV and RV-LV were highly correlated (R2 = 0.71). A longer QRV was observed among patients with right bundle branch block, ischemic cardiomyopathy, and increased QRS. In a multivariable model including QLV, RV-LV, and other known predictors of CRT response, RV-LV, but not QLV, remained associated with CRT response (odds ratio 1.13; 95% confidence interval 1.02-1.26; P = .017). Combining the 2 measures achieved better prediction of CRT response in the group with intermediate RV-LV.
CONCLUSION: RV-LV is a better predictor of CRT response than QLV. There is incremental value in using both measurements or QRV in certain subpopulations.
Copyright © 2019 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiac resynchronization therapy; Heart failure; Heart ventricles; Interventricular delay; Left ventricular reverse remodeling; Outcomes; Randomized clinical trials

Mesh:

Year:  2019        PMID: 31765805     DOI: 10.1016/j.hrthm.2019.11.023

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


  6 in total

1.  Using Machine-Learning for Prediction of the Response to Cardiac Resynchronization Therapy: The SMART-AV Study.

Authors:  Stacey J Howell; Tim Stivland; Kenneth Stein; Kenneth A Ellenbogen; Larisa G Tereshchenko
Journal:  JACC Clin Electrophysiol       Date:  2021-08-25

2.  Real-world outcomes in cardiac resynchronization therapy patients: design and baseline demographics of the SMART- Registry.

Authors:  Roy S Gardner; Antonio D'Onofrio; George Mark; Daniel Gras; Yan Hu; Sara Veraghtert; Ignacio Garcia-Bolao
Journal:  ESC Heart Fail       Date:  2021-01-19

3.  Intracardiac conduction time as a predictor of cardiac resynchronization therapy response: Results of the BIO|SELECT pilot study.

Authors:  Kyoko Soejima; Yusuke Kondo; Shingo Sasaki; Kazumasa Adachi; Ritsushi Kato; Nobuhisa Hagiwara; Tomoo Harada; Kengo Kusano; Fumiharu Miura; Itsuro Morishima; Kazuyasu Yoshitani; Akihiko Yotsukura; Manabu Fujimoto; Nobuhiro Nishii; Kenji Shimeno; Masatsugu Ohe; Hiroshi Tasaka; Hiroto Sasaki; Juergen Schrader; Kenji Ando
Journal:  Heart Rhythm O2       Date:  2021-09-28

4.  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

5.  Electrocardiographic and echocardiographic dyssynchrony parameters that might better predict the response to cardiac resynchronization therapy than QRS morphology and duration.

Authors:  András Vereckei
Journal:  J Geriatr Cardiol       Date:  2022-02-28       Impact factor: 3.327

6.  Overview of Current Strategies Aiming at Improving Response to Cardiac Resynchronization Therapy.

Authors:  Yakup Yunus Yamantürk; Başar Candemir; Emir Baskovski; Kerim Esenboğa
Journal:  Anatol J Cardiol       Date:  2022-05       Impact factor: 1.475

  6 in total

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