Literature DB >> 27871854

Rate adaptive pacing in an intracardiac pacemaker.

Michael Lloyd1, Dwight Reynolds2, Todd Sheldon3, Kurt Stromberg3, J Harrison Hudnall3, Wade M Demmer3, Razali Omar4, Philippe Ritter5, John Hummel6, Lluís Mont7, Clemens Steinwender8, Gabor Z Duray9.   

Abstract

BACKGROUND: The Micra transcatheter pacemaker was designed to have similar functionality to conventional transvenous VVIR pacing systems. It provides rate adaptive pacing using a programmable 3-axis accelerometer designed to detect patient activity in the presence of cardiac motion.
OBJECTIVE: The purpose of this study was to evaluate the system's performance during treadmill tests to maximum exertion in a subset of patients within the Micra Transcatheter Pacing Study.
METHODS: Patients underwent treadmill testing at 3 or 6 months postimplant with algorithm programming at physician discretion. Normalized sensor rate (SenR) relative to the programmed upper sensor rate was modeled as a function of normalized workload in metabolic equivalents (METS) relative to maximum METS achieved during the test. A normalized METS and SenR were determined at the end of each 1-minute treadmill stage. The proportionality of SenR to workload was evaluated by comparing the slope from this relationship to the prospectively defined tolerance margin (0.65-1.35).
RESULTS: A total of 69 treadmill tests were attempted by 42 patients at 3 and 6 months postimplant. Thirty tests from 20 patients who completed ≥4 stages with an average slope of 0.86 (90% confidence interval 0.77-0.96) confirmed proportionality to workload. On an individual test basis, 25 of 30 point estimates (83.3%) had a normalized slope within the defined tolerance range (range 0.46-1.08).
CONCLUSION: Accelerometer-based rate adaptive pacing was proportional to workload, thus confirming rate adaptive pacing commensurate to workload is achievable with an entirely intracardiac pacing system.
Copyright © 2016 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Accelerometer; Intracardiac pacemaker; Leadless pacemaker; Rate adaptive; Rate response

Mesh:

Year:  2016        PMID: 27871854     DOI: 10.1016/j.hrthm.2016.11.016

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


  6 in total

Review 1.  [Micra™ leadless pacemaker : Clinical experience and perspectives].

Authors:  Clemens Steinwender; Hermann Blessberger; Daniel Kiblböck; Karim Saleh; Jürgen Kammler
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2018-11-19

Review 2.  Next-generation pacemakers: from small devices to biological pacemakers.

Authors:  Eugenio Cingolani; Joshua I Goldhaber; Eduardo Marbán
Journal:  Nat Rev Cardiol       Date:  2017-11-16       Impact factor: 32.419

3.  Leadless pacemakers: a contemporary review.

Authors:  Neal Bhatia; Mikhael El-Chami
Journal:  J Geriatr Cardiol       Date:  2018-04       Impact factor: 3.327

4.  Adding wisdom to 'smart' bioelectronic systems: a design framework for physiologic control including practical examples.

Authors:  Aysegul Gunduz; Enrico Opri; Ro'ee Gilron; Vaclav Kremen; Gregory Worrell; Phil Starr; Kent Leyde; Timothy Denison
Journal:  Bioelectron Med (Lond)       Date:  2019-05-30

5.  NeuroDAC: an open-source arbitrary biosignal waveform generator.

Authors:  M P Powell; J Anso; R Gilron; N R Provenza; A B Allawala; D D Sliva; K R Bijanki; D Oswalt; J Adkinson; N Pouratian; S A Sheth; W K Goodman; S R Jones; P A Starr; D A Borton
Journal:  J Neural Eng       Date:  2021-02-05       Impact factor: 5.379

Review 6.  Embedding digital chronotherapy into bioelectronic medicines.

Authors:  John E Fleming; Vaclav Kremen; Ro'ee Gilron; Nicholas M Gregg; Mayela Zamora; Derk-Jan Dijk; Philip A Starr; Gregory A Worrell; Simon Little; Timothy J Denison
Journal:  iScience       Date:  2022-03-04
  6 in total

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