Literature DB >> 34855036

Effectiveness of SharpSense™ algorithms in reducing bradycardia and pause detection: real-world performance in Confirm Rx™ insertable cardiac monitor.

Rakesh Gopinathannair1, Dhanunjaya Lakkireddy2, Muhammad R Afzal3, Christopher Piorkowski4, Fujian Qu4, Fady Dawoud4, Kevin Davis4, Kyungmoo Ryu4, John Ip5.   

Abstract

PURPOSE: SharpSense™ technology is an upgradable software enhancement introduced to the Abbott Confirm Rx™ insertable cardiac monitor (ICM). This study aims to characterize the real-world performance of SharpSense algorithms by comparing device detected pause and bradycardia episodes before and after the SharpSense upgrade.
METHODS: Confirm Rx devices with at least 90 days monitoring each before and after SharpSense upgrade were included in the study. Bradycardia and pause detections and subcutaneous electrocardiograms (SECGs) within 90 days before and after the upgrade were extracted from Merlin.net™ patient care network for evaluation and adjudicated by expert adjudicators.
RESULTS: A total of 197 devices were included in the analysis. Devices were implanted for syncope (35.0%), atrial fibrillation (32.5%), cryptogenic stroke (16.8%), and other indications including palpitations (15.7%). The SharpSense upgrade significantly reduced the number of bradycardia detections by 86.8% and pause detections by 93.1%. In adjudicated SECGs, the upgrade significantly reduced false positive (FP) bradycardia episodes by 91.5% and FP pause episodes by 82.8%. The percentage of devices with at least one FP episode was reduced from 39 to 20% for bradycardia and from 52 to 35% for pause. The number of devices with FP rate greater than 1 episode per week was reduced from 23 to 8% for bradycardia and from 39 to 20% for pause.
CONCLUSIONS: In this real-world performance evaluation, the algorithms incorporated in SharpSense software upgrade in Confirm Rx ICMs substantially reduced false positive bradycardia and pause detections and the number of transmitted SECGs for clinic review.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bradycardia; Diagnosis; Insertable cardiac monitors; Pause

Mesh:

Year:  2021        PMID: 34855036     DOI: 10.1007/s10840-021-01099-4

Source DB:  PubMed          Journal:  J Interv Card Electrophysiol        ISSN: 1383-875X            Impact factor:   1.900


  7 in total

1.  Is a pacemaker implantation warranted in this patient?

Authors:  Roman Brenner; Rémy Chenevard; Peter Ammann
Journal:  Europace       Date:  2015-10-20       Impact factor: 5.214

Review 2.  Current and Future Use of Insertable Cardiac Monitors.

Authors:  Shaun Giancaterino; Florentino Lupercio; Marin Nishimura; Jonathan C Hsu
Journal:  JACC Clin Electrophysiol       Date:  2018-08-29

3.  Diagnostic accuracy of R-wave detection by insertable cardiac monitors.

Authors:  Margot De Coster; Anthony Demolder; Veerle De Meyer; Filiep Vandenbulcke; Frederic Van Heuverswyn; Jan De Pooter
Journal:  Pacing Clin Electrophysiol       Date:  2020-05-02       Impact factor: 1.976

4.  Development and validation of a dual sensing scheme to improve accuracy of bradycardia and pause detection in an insertable cardiac monitor.

Authors:  Rod S Passman; John D Rogers; Shantanu Sarkar; Jerry Reiland; Erin Reisfeld; Jodi Koehler; Suneet Mittal
Journal:  Heart Rhythm       Date:  2017-04-01       Impact factor: 6.343

5.  Implantable loop recorders for cardiac dysrhythmia monitoring.

Authors:  Krishna Akella; Ghulam Murtaza; Domenico G Della Rocca; Naresh Kodwani; Rakesh Gopinathannair; Andrea Natale; Dhanunjaya Lakkireddy
Journal:  Future Cardiol       Date:  2020-06-25

6.  Is surface ECG a useful surrogate for subcutaneous ECG?

Authors:  Carissa L Bellardine Black; Kurt Stromberg; Georgette Plemper van Balen; Raja N Ghanem; Robert W Breedveld; Robert G Tieleman
Journal:  Pacing Clin Electrophysiol       Date:  2009-11-18       Impact factor: 1.976

7.  Accuracy of arrhythmia detection in implantable cardiac monitors: A prospective randomized clinical trial comparing Reveal LINQ and Confirm Rx.

Authors:  John Ip; Brian Jaffe; Mark Castellani; Ali Sheikh; Carson Castellani; Randy Ip
Journal:  Pacing Clin Electrophysiol       Date:  2020-10-03       Impact factor: 1.976

  7 in total

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