Literature DB >> 22549295

A randomized pilot study of optimization of cardiac resynchronization therapy in sinus rhythm patients using a peak endocardial acceleration sensor vs. standard methods.

Philippe Ritter1, Peter Paul H M Delnoy, Luigi Padeletti, Maurizio Lunati, Herbert Naegele, Alberto Borri-Brunetto, Jorge Silvestre.   

Abstract

AIMS: Non-response rate to cardiac resynchronization therapy (CRT) might be decreased by optimizing device programming. The Clinical Evaluation on Advanced Resynchronization (CLEAR) study aimed to assess the effects of CRT with automatically optimized atrioventricular (AV) and interventricular (VV) delays, based on a Peak Endocardial Acceleration (PEA) signal system. METHODS AND
RESULTS: This multicentre, single-blind study randomized patients in a 1 : 1 ratio to CRT optimized either automatically by the PEA-based system, or according to centres' usual practices, mostly by echocardiography. Patients had heart failure (HF) New York Heart Association (NYHA) functional class III/IV, left ventricular ejection fraction (LVEF) <35%, QRS duration >150 or >120 ms with mechanical dyssynchrony. Follow-up was 1 year. The primary endpoint was the proportion of patients who improved their condition at 1 year, based on a composite of all-cause death, HF hospitalizations, NYHA class, and quality of life. In all, 268 patients in sinus rhythm (63% men; mean age: 73.1 ± 9.9 years; mean NYHA: 3.0 ± 0.3; mean LVEF: 27.1 ± 8.1%; and mean QRS duration: 160.1 ± 22.0 ms) were included and 238 patients were randomized, 123 to PEA and 115 to the control group. At 1 year, 76% of patients assigned to PEA were classified as improved, vs. 62% in the control group (P= 0.0285). The percentage of patients with improved NYHA class was significantly (P= 0.0020) higher in the PEA group than in controls. Fatal and non-fatal adverse events were evenly distributed between the groups.
CONCLUSION: PEA-based optimization of CRT in HF patients significantly increased the proportion of patients who improved with therapy, mainly through improved NYHA class, after 1 year of follow-up.

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Mesh:

Year:  2012        PMID: 22549295     DOI: 10.1093/europace/eus059

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  27 in total

Review 1.  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

2.  Effect of periodic pacemaker optimization on left atrial reverse remodeling in long-term cardiac resynchronization therapy.

Authors:  Guangwei Pan; Zhiqiang Liu; Pengyi He; Yuchun Yang; Yuming Mu; Wei Han; Muhuyati Wulasihan
Journal:  J Interv Card Electrophysiol       Date:  2013-10-23       Impact factor: 1.900

Review 3.  Cardiac resynchronization therapy: Dire need for targeted left ventricular lead placement and optimal device programming.

Authors:  Sokratis Pastromas; Antonis S Manolis
Journal:  World J Cardiol       Date:  2014-12-26

4.  Determinants of Response to Cardiac Resynchronization Therapy.

Authors:  John D Allison; Yitschak Biton; Theofanie Mela
Journal:  J Innov Card Rhythm Manag       Date:  2022-05-15

Review 5.  An Overview of Current Cardiac Resynchronization Therapy.

Authors:  Chien-Ming Cheng; Jin-Long Huang; Tsu-Juey Wu; Yu-Cheng Hsieh; Kuo-Yang Wang; Shih-Ann Chen
Journal:  Acta Cardiol Sin       Date:  2013-11       Impact factor: 2.672

Review 6.  Clinical Relevance Of Systematic CRT Device Optimization.

Authors:  Maurizio Lunati; Giovanni Magenta; Giuseppe Cattafi; Antonella Moreo; Giacomo Falaschi; Danilo Contardi; Emanuela Locati
Journal:  J Atr Fibrillation       Date:  2014-08-31

Review 7.  Strategies to improve cardiac resynchronization therapy.

Authors:  Kevin Vernooy; Caroline J M van Deursen; Marc Strik; Frits W Prinzen
Journal:  Nat Rev Cardiol       Date:  2014-05-20       Impact factor: 32.419

8.  Prevalence of E/A wave fusion and A wave truncation in DDD pacemaker patients with complete AV block under nominal AV intervals.

Authors:  Wolfram C Poller; Henryk Dreger; Marius Schwerg; Christoph Melzer
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

9.  The clinical benefit of cardiac resynchronization therapy optimization using a device-based hemodynamic sensor in a patient with dilated cardiomyopathy: a case report.

Authors:  Mario Volpicelli; Gregorio Covino; Paolo Capogrosso
Journal:  J Med Case Rep       Date:  2015-12-19

10.  Optimisation of cardiac resynchronisation therapy during exercise.

Authors:  A Ghani; A R Ramdat Misier; A Elvan; P P H M Delnoy
Journal:  Neth Heart J       Date:  2013-10       Impact factor: 2.380

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