Literature DB >> 16355025

The problem of non-response to cardiac resynchronization therapy.

David H Birnie1, Anthony Sl Tang.   

Abstract

PURPOSE OF REVIEW: Cardiac resynchronization therapy improves quality of life, exercise performance, left ventricular ejection fraction, and reduces heart failure hospitalizations and mortality in patients with New York Heart Association class III or IV congestive heart failure and intraventricular conduction delay. A number of key clinical research questions remain, perhaps most importantly the issue of why apparently suitable patients do not respond to cardiac resynchronization therapy. These issues are also relevant to patients who do respond to cardiac resynchronization therapy as potentially their response might be further increased. This article will review the data regarding the frequency of the problem of non-response to cardiac resynchronization therapy and then discuss the postulated reasons and potential solutions. RECENT
FINDINGS: Rates of non-response to cardiac resynchronization therapy are often quoted as 20-30%, but a critical analysis of the data would suggest the true non-responder rate can be estimated as perhaps 40-50%. The data indicate that on a population basis non-response is multi-factorial and the extent of mechanical dyssynchrony, left ventricular pacing site and cause of congestive heart failure are likely to be important. Ongoing research is exploring the utility of various techniques for quantifying mechanical dyssynchrony and the potential benefits of targeted left ventricular lead placement and post-implant optimization.
SUMMARY: Cardiac resynchronization therapy is a major breakthrough in treatment for advanced congestive heart failure patients. There is substantial rate of non-response to this therapy, however, and research is exploring various ways to increase the response to the technique.

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Mesh:

Year:  2006        PMID: 16355025     DOI: 10.1097/01.hco.0000198983.93755.99

Source DB:  PubMed          Journal:  Curr Opin Cardiol        ISSN: 0268-4705            Impact factor:   2.161


  72 in total

1.  Reduced septal glucose metabolism predicts response to cardiac resynchronization therapy.

Authors:  David Birnie; Rob A de Kemp; Anthony S Tang; Terence D Ruddy; Michael H Gollob; Ann Guo; Kathryn Williams; Kerry Thomson; Jean N DaSilva; Rob S Beanlands
Journal:  J Nucl Cardiol       Date:  2011-12-10       Impact factor: 5.952

2.  [The "Recommendations for the structure of cardiac pacemaker and defibrillator therapy"--what can they achieve?: Implementation of the concept paper for HSM/ICD therapy].

Authors:  K Rybak
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2010-09

3.  SPECT blood pool phase analysis can accurately and reproducibly quantify mechanical dyssynchrony.

Authors:  Michel Lalonde; David Birnie; Terrence D Ruddy; Robert A deKemp; Richard W Wassenaar
Journal:  J Nucl Cardiol       Date:  2010-04-29       Impact factor: 5.952

Review 4.  The vagus nerve and autonomic imbalance in heart failure: past, present, and future.

Authors:  Paul J Hauptman; Douglas L Mann
Journal:  Heart Fail Rev       Date:  2011-03       Impact factor: 4.214

5.  Measuring mechanical cardiac dyssynchrony in the 3-D era.

Authors:  Guido Germano; Serge D Van Kriekinge
Journal:  J Nucl Cardiol       Date:  2015-12-30       Impact factor: 5.952

6.  Periprocedural management of cardiac resynchronization therapy.

Authors:  John Rickard; Niraj Varma
Journal:  Curr Treat Options Cardiovasc Med       Date:  2014-04

Review 7.  Pressure Volume System for Management of Heart Failure and Valvular Heart Disease.

Authors:  Frederick G P Welt; James C Fang
Journal:  Curr Cardiol Rep       Date:  2019-11-25       Impact factor: 2.931

Review 8.  Pacing for drug-refractory or drug-intolerant hypertrophic cardiomyopathy.

Authors:  Mohammed Qintar; Abdulrahman Morad; Hazem Alhawasli; Khaled Shorbaji; Belal Firwana; Adib Essali; Waleed Kadro
Journal:  Cochrane Database Syst Rev       Date:  2012-05-16

9.  Validation of automated monitoring of cardiac output for biventricular pacing optimization.

Authors:  Erin M George; Santos E Cabreriza; T Alexander Quinn; Alexander Rusanov; Rabin Gerrah; Justin M Broyles; Alan D Weinberg; Henry M Spotnitz
Journal:  ASAIO J       Date:  2010 May-Jun       Impact factor: 2.872

10.  Coherent averaging improves the evaluation of left ventricular dyssynchrony by conductance catheter.

Authors:  Giovanni B Perego; Sergio Valsecchi; Federica Censi; Jan J Schreuder; Luigi Padeletti
Journal:  J Clin Monit Comput       Date:  2008-12-12       Impact factor: 2.502

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