Relationship between activity and sleep, as measured through a wearable accelerometer, and appropriate cardioverter-defibrillator interventions: a prospective SafeHeart substudy.

Wearable technology behavioral patterns implantable cardioverter defibrillator prediction ventricular arrhythmia wearable activity tracker

Journal

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology
ISSN: 1532-2092
Titre abrégé: Europace
Pays: England
ID NLM: 100883649

Informations de publication

Date de publication:
20 Sep 2024
Historique:
received: 08 07 2024
revised: 23 08 2024
accepted: 18 09 2024
medline: 20 9 2024
pubmed: 20 9 2024
entrez: 20 9 2024
Statut: aheadofprint

Résumé

Physical activity has shown association with ventricular arrhythmia, however, the role of specific behavioral patterns over a 24-hour cycle remains unknown. Therefore, we aimed to explore associations between physical behavior and appropriate implantable cardioverter-defibrillator (ICD) therapy. We included patients with an ICD at two European sites, who wore wrist-based accelerometers capturing 24-hour movement and sleep behaviors for 28 days. Behavioral measures included activity volume, duration and intensity, sleep duration and efficiency. Patients were followed for 12 months for the outcome of appropriate ICD therapy. Cox proportional hazard models with restricted cubic splines were used for the analysis. Lastly, the predictive capacity was tested. : A total of 253 ICD patients were included (mean age 63.8 (±10.2), 50 (19.8%) female). During follow-up, 40 patients (15.8%) received appropriate ICD therapy; 32 ATP only (12.6%), 5 shock only (2.0%) and 3 combined ATP and shock (1.2%). In the adjusted model, high inactive duration (HR 1.40 (95% 1.10-1.78), peak walking cadence (HR 1.07 (95% 1.03-1.12) and total sleep duration (HR 1.50 (1.02-2.22) were associated with the outcome. The dose-response relationship was U-shaped for inactive duration with a cutoff at 16 hours, and linear for peak cadence and sleep. The prediction model reached an AUROC of 0.70 ±0.03, with highest accuracy in the first months. Wearable-derived 24-hour movement and sleep behaviors collected over 28 days were associated with later appropriate ICD therapy risk. Testing of the predictive value of digital biomarkers for enhanced risk stratification of ventricular arrhythmia warrants larger prospective studies. National Trial Registration (NL9218, http://onderzoekmetmensen.nl/).

Identifiants

pubmed: 39302692
pii: 7762762
doi: 10.1093/europace/euae241
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.

Auteurs

Diana M Frodi (DM)

Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.

Maarten Z H Kolk (MZH)

Department of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Søren Z Diederichsen (SZ)

Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.

Joss Langford (J)

Activinsights Ltd., Kimbolton, United Kingdom.
College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom.

Reinoud E Knops (RE)

Department of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Hanno L Tan (HL)

Department of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Netherlands Heart Institute, Utrecht, the Netherlands.

Tariq O Andersen (TO)

Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.

Peter Karl Jacobsen (PK)

Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.

Niels Risum (N)

Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.

Fleur V Y Tjong (FVY)

Department of Clinical and Experimental Cardiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.

Jesper Hastrup Svendsen (JH)

Department of Cardiology, Copenhagen University Hospital-Rigshospitalet, Copenhagen, Denmark.
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.

Classifications MeSH