Literature DB >> 26338877

Differentiating Electromechanical From Non-Electrical Substrates of Mechanical Discoordination to Identify Responders to Cardiac Resynchronization Therapy.

Joost Lumens1, Bhupendar Tayal2, John Walmsley2, Antonia Delgado-Montero2, Peter R Huntjens2, David Schwartzman2, Andrew D Althouse2, Tammo Delhaas2, Frits W Prinzen2, John Gorcsan2.   

Abstract

BACKGROUND: Left ventricular (LV) mechanical discoordination, often referred to as dyssynchrony, is often observed in patients with heart failure regardless of QRS duration. We hypothesized that different myocardial substrates for LV mechanical discoordination exist from (1) electromechanical activation delay, (2) regional differences in contractility, or (3) regional scar and that we could differentiate electromechanical substrates responsive to cardiac resynchronization therapy (CRT) from unresponsive non-electrical substrates. METHODS AND
RESULTS: First, we used computer simulations to characterize mechanical discoordination patterns arising from electromechanical and non-electrical substrates and accordingly devise the novel systolic stretch index (SSI), as the sum of posterolateral systolic prestretch and septal systolic rebound stretch. Second, 191 patients with heart failure (QRS duration ≥120 ms; LV ejection fraction ≤35%) had baseline SSI quantified by automated echocardiographic radial strain analysis. Patients with SSI≥9.7% had significantly less heart failure hospitalizations or deaths 2 years after CRT (hazard ratio, 0.32; 95% confidence interval, 0.19-0.53; P<0.001) and less deaths, transplants, or LV assist devices (hazard ratio, 0.28; 95% confidence interval, 0.15-0.55; P<0.001). Furthermore, in a subgroup of 113 patients with intermediate electrocardiographic criteria (QRS duration of 120-149 ms or non-left bundle branch block), SSI≥9.7% was independently associated with significantly less heart failure hospitalizations or deaths (hazard ratio, 0.41; 95% confidence interval, 0.23-0.79; P=0.004) and less deaths, transplants, or LV assist devices (hazard ratio, 0.27; 95% confidence interval, 0.12-0.60; P=0.001).
CONCLUSIONS: Computer simulations differentiated patterns of LV mechanical discoordination caused by electromechanical substrates responsive to CRT from those related to regional hypocontractility or scar unresponsive to CRT. The novel SSI identified patients who benefited more favorably from CRT, including those with intermediate electrocardiographic criteria, where CRT response is less certain by ECG alone.
© 2015 American Heart Association, Inc.

Entities:  

Keywords:  CircAdapt; bundle branch block; dyssynchrony; echocardiography; heart failure; myocardial scar; strain

Mesh:

Year:  2015        PMID: 26338877     DOI: 10.1161/CIRCIMAGING.115.003744

Source DB:  PubMed          Journal:  Circ Cardiovasc Imaging        ISSN: 1941-9651            Impact factor:   7.792


  30 in total

1.  Cardiac resynchronization therapy responders can be better identified by specific signatures in myocardial function.

Authors:  Jens-Uwe Voigt
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-11-20       Impact factor: 6.875

Review 2.  Current role of echocardiography in cardiac resynchronization therapy.

Authors:  Donato Mele; Matteo Bertini; Michele Malagù; Marianna Nardozza; Roberto Ferrari
Journal:  Heart Fail Rev       Date:  2017-11       Impact factor: 4.214

3.  Teaching cardiovascular medicine to machines.

Authors:  Pablo Lamata
Journal:  Cardiovasc Res       Date:  2018-07-01       Impact factor: 10.787

Review 4.  Imaging the Propagation of the Electromechanical Wave in Heart Failure Patients with Cardiac Resynchronization Therapy.

Authors:  Ethan Bunting; Litsa Lambrakos; Paul Kemper; William Whang; Hasan Garan; Elisa Konofagou
Journal:  Pacing Clin Electrophysiol       Date:  2016-12-02       Impact factor: 1.976

5.  Cardiovascular magnetic resonance features of mechanical dyssynchrony in patients with left bundle branch block.

Authors:  Giselle Revah; Vincent Wu; Peter R Huntjens; Eve Piekarski; Janice Y Chyou; Leon Axel
Journal:  Int J Cardiovasc Imaging       Date:  2016-06-15       Impact factor: 2.357

Review 6.  Emerging clinical applications of strain imaging and three-dimensional echocardiography for the assessment of ventricular function in adult congenital heart disease.

Authors:  Michael Huntgeburth; Ingo Germund; Lianne M Geerdink; Narayanswami Sreeram; Floris E A Udink Ten Cate
Journal:  Cardiovasc Diagn Ther       Date:  2019-10

7.  Myocardial work is a predictor of exercise tolerance in patients with dilated cardiomyopathy and left ventricular dyssynchrony.

Authors:  Florian Schrub; Frédéric Schnell; Erwan Donal; Elena Galli
Journal:  Int J Cardiovasc Imaging       Date:  2019-09-12       Impact factor: 2.357

8.  Electromechanical wave imaging (EWI) validation in all four cardiac chambers with 3D electroanatomic mapping in canines in vivo.

Authors:  Alexandre Costet; Elaine Wan; Ethan Bunting; Julien Grondin; Hasan Garan; Elisa Konofagou
Journal:  Phys Med Biol       Date:  2016-10-26       Impact factor: 3.609

Review 9.  Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in-between?

Authors:  Steven A Niederer; Nic P Smith
Journal:  J Physiol       Date:  2016-07-03       Impact factor: 5.182

Review 10.  Clinical Applications of Patient-Specific Models: The Case for a Simple Approach.

Authors:  Jeffrey W Holmes; Joost Lumens
Journal:  J Cardiovasc Transl Res       Date:  2018-02-16       Impact factor: 4.132

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