Literature DB >> 26131207

Clinical observation of atrial threshold monitoring algorithm: a single center experience.

Jianqing She1, Jing Zhou2, Zhan Hu3, Yulong Xia2.   

Abstract

OBJECTIVE: To observe the atrial capture management in an atrial threshold monitoring algorithm. By calculating the enabling rate of the atrial threshold monitoring algorithm and comparing atrial thresholds measured automatically and manually, we evaluate its safety, reliability and applicability in clinical practice. METHODS AND
RESULTS: Data were collected at implant, start of atrial threshold monitoring, visits scheduled 1 month, 2 months and 4 months thereafter, and upon notification of adverse events. Atrial threshold monitoring algorithm was enabled in 94 patients, while in 38 not, indicating an enabling rate of 71.2%. Causes of the unsuccessful attempts to enable automatic atrial threshold include tachycardia (2, 5.3%), and atrial safety margin not met (36, 94.7%). A total of 88 pairs of atrial thresholds measured automatically and manually were gained. The auto threshold was 0.528 ± 0.270 V, and the manual threshold was 0.580 ± 0.223 V. There is a strict correlation between the automatic measurements and those conducted manually by the physician with a P < 0.05. No significant differences were observed during the 1-month, 2-month and 4-month follow-up.
CONCLUSION: Atrial threshold monitoring algorithm is safe, reliable and applicable over time. Atrial threshold monitoring tested atrial threshold was demonstrated to be clinically equivalent to the manual atrial threshold test. The addition of atrial threshold monitoring will benefit the patients by reducing energy cost and enhancing pacemaker safety.

Entities:  

Keywords:  ACapTMConfirm; Pacemaker; atrial capture management

Year:  2015        PMID: 26131207      PMCID: PMC4483861     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  10 in total

1.  Benefits in projected pacemaker longevity and in pacing related costs conferred by automatic threshold tracking.

Authors:  G Boriani; M Biffi; A Branzi; A Mininno; R Sigliano
Journal:  Pacing Clin Electrophysiol       Date:  2000-11       Impact factor: 1.976

2.  Automatic measurement of atrial pacing thresholds in dual-chamber pacemakers: clinical experience with atrial capture management.

Authors:  Johannes Sperzel; Goran Milasinovic; Timothy W Smith; Hardwin Mead; Johan Brandt; Wesley K Haisty; J Russell Bailey; Marc Roelke; Jay Simonson; Jennifer Englund; Eric Farges; Steven Compton
Journal:  Heart Rhythm       Date:  2005-11       Impact factor: 6.343

Review 3.  Understanding capture detection.

Authors:  Willem G de Voogt; Ben F M Vonk; Bert A Albers; Florian Hintringer
Journal:  Europace       Date:  2004-11       Impact factor: 5.214

4.  Acute performance evaluation of a new ventricular automatic capture algorithm.

Authors:  Johannes Sperzel; Bernd Nowak; Ewald Himmrich; Geng Zhang; Andreas König; Roger Willems; Craig Reister; Alok Sathaye; Gerd Fröhlig
Journal:  Europace       Date:  2006-01       Impact factor: 5.214

5.  The measurement of the paced depolarization integral using the braided endocardial lead.

Authors:  R M Lu; A K Dawson
Journal:  Pacing Clin Electrophysiol       Date:  1992-11       Impact factor: 1.976

6.  Actual pacemaker longevity: the benefit of stimulation by automatic capture verification.

Authors:  Mauro Biffi; Matteo Bertini; Davide Saporito; Matteo Ziacchi; Cristian Martignani; Igor Diemberger; Giuseppe Boriani
Journal:  Pacing Clin Electrophysiol       Date:  2010-03-06       Impact factor: 1.976

7.  Automatic assessment of atrial pacing threshold in current medical practice.

Authors:  Jean Luc Rey; Serge Quenum; Marc Hero
Journal:  Europace       Date:  2012-04-17       Impact factor: 5.214

8.  Clinical evaluation of pacemaker automatic capture management and atrioventricular interval extension algorithm.

Authors:  Ke-ping Chen; Geng Xu; Shulin Wu; Baopeng Tang; Li Wang; Shu Zhang
Journal:  Europace       Date:  2012-12-12       Impact factor: 5.214

9.  Atrial threshold variability: implications for automatic atrial stimulation algorithms.

Authors:  Mauro Biffi; Girolamo Spitali; Massimo Stefano Silvetti; Selina Argnani; Ida Rubino; Pierluigi Fontana; Gaetano Barbato; Elena Mazzini; Tiziana De Santo; Fabrizio Drago; Giuseppe Boriani
Journal:  Pacing Clin Electrophysiol       Date:  2007-12       Impact factor: 1.976

10.  Automatic verification of ventricular stimulation: fusion management algorithm.

Authors:  Matteo Bertini; Mauro Biffi; Matteo Ziacchi; Cinzia Valzania; Davide Saporito; Giuseppe Boriani
Journal:  Pacing Clin Electrophysiol       Date:  2008-01       Impact factor: 1.976

  10 in total

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