Real-world performance of the atrial fibrillation monitor in patients with a subcutaneous ICD.

S-ICD algorithm atrial fibrillation remote monitoring subclinical atrial fibrillation subcutaneous implantable cardioverter-defibrillator

Journal

Pacing and clinical electrophysiology : PACE
ISSN: 1540-8159
Titre abrégé: Pacing Clin Electrophysiol
Pays: United States
ID NLM: 7803944

Informations de publication

Date de publication:
12 2020
Historique:
received: 13 06 2020
revised: 09 07 2020
accepted: 12 07 2020
pubmed: 15 7 2020
medline: 21 10 2021
entrez: 15 7 2020
Statut: ppublish

Résumé

The third-generation subcutaneous implantable cardioverter-defibrillator (S-ICD) (EMBLEM™ A219, Boston Scientific) contains a new diagnostic tool to detect atrial fibrillation (AF) in S-ICD patients, without the use of an intracardiac lead. This is the first study to evaluate the performance of the S-ICD AF monitor (AFM). The AFM algorithm analyzes a subcutaneous signal for the presence of AF, similar to the signals collected by implantable and wearable diagnostic devices. The AFM algorithm combines heart rate (HR) scatter analysis with an HR histogram. The algorithm was tested against publicly available electrocardiogram databases (simulated performance). Real-world performance of the algorithm was evaluated by using the S-ICD LATITUDE remote monitoring (RM) database. The simulated performance of the AFM algorithm resulted in a sensitivity of 95.0%, specificity of 100.0%, and positive predictive value (PPV) of 100.0%. To evaluate the real-world performance of the AFM, 7744 S-ICD devices were followed for up to 30 months by RM, whereof 99.5% had the AFM enabled. A total of 387 AF episodes were randomly chosen for adjudication, resulting in a PPV of 67.7%. The main cause of misclassification was atrial and ventricular ectopy. The AFM exhibited a very high sensitivity and specificity in a simulated setting, designed to maximize PPV in order to minimize the clinical burden of reviewing falsely detected AF events. The real-world performance of the AFM, enabled in 99.5% of S-ICD patients, is a PPV of 67.7%.

Identifiants

pubmed: 32662101
doi: 10.1111/pace.14010
pmc: PMC7754353
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1467-1475

Informations de copyright

© 2020 The Authors. Pacing and Clinical Electrophysiology published by Wiley Periodicals LLC.

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Auteurs

Sarah W E Baalman (SWE)

Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.

Suneet Mittal (S)

The Snyder Center for Comprehensive Atrial Fibrillation at the Valley Health System, Ridgewood, New Jersey.

Lucas V A Boersma (LVA)

Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.
St. Antonius Hospital, Nieuwegein, The Netherlands.

Dave Perschbacher (D)

Boston Scientific, Minneapolis, Minnesota.

Amy J Brisben (AJ)

Boston Scientific, Minneapolis, Minnesota.

Deepa Mahajan (D)

Boston Scientific, Minneapolis, Minnesota.

Joris R de Groot (JR)

Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.

Reinoud E Knops (RE)

Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands.

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Classifications MeSH