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

IF 7.9 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Europace Pub Date : 2024-10-03 DOI:10.1093/europace/euae241
Diana M Frodi, Maarten Z H Kolk, Søren Z Diederichsen, Joss Langford, Reinoud E Knops, Hanno L Tan, Tariq O Andersen, Peter Karl Jacobsen, Niels Risum, Fleur V Y Tjong, Jesper Hastrup Svendsen
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引用次数: 0

Abstract

Aims: Physical activity has shown association with ventricular arrhythmia, however, the role of specific behavioral patterns over a 24 h cycle remains unknown. Therefore, we aimed to explore associations between physical behavior and appropriate implantable cardioverter defibrillator (ICD) therapy.

Methods and results: We included patients with an ICD at two European sites, who wore wrist-based accelerometers capturing 24 h movement and sleep behaviours for 28 days. Behavioural measures included activity volume, duration and intensity, sleep duration, and efficiency. Participants 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 63.5 (±10.2), 48 (19.0%) female). During follow-up, 40 participants (15.8%) received appropriate ICD therapy; 32 anti-tachycardia pacing (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 cut-off at 16 h, and linear for peak cadence and sleep. The prediction model reached an area under the receiver operating characteristic curve of 0.70 ± 0.03, with highest accuracy in the first months.

Conclusion: Wearable-derived 24 h movement and sleep behaviours 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.

Clinical trial registration: National Trial Registration (NL9218, http://onderzoekmetmensen.nl/).

通过可穿戴加速度计测量的活动和睡眠与适当的心脏转复除颤器干预之间的关系:前瞻性 SafeHeart 子研究。
简介:体力活动与室性心律失常有关,但 24 小时周期内特定行为模式的作用仍不清楚。因此,我们旨在探索体育行为与适当的植入式心律转复除颤器(ICD)治疗之间的关系:方法:我们纳入了欧洲两家医院的 ICD 患者,他们佩戴了腕式加速度计,记录了 28 天内的 24 小时运动和睡眠行为。行为测量包括活动量、持续时间和强度、睡眠时间和效率。对患者进行了为期 12 个月的随访,以了解患者是否接受了适当的 ICD 治疗。分析中使用了带有限制性三次样条的 Cox 比例危险模型。最后,对预测能力进行了测试:共纳入 253 名 ICD 患者(平均年龄 63.8(±10.2)岁,女性 50 人(19.8%))。随访期间,40 名患者(15.8%)接受了适当的 ICD 治疗;32 名仅接受 ATP(12.6%),5 名仅接受电击(2.0%),3 名联合 ATP 和电击(1.2%)。在调整后的模型中,不活动时间长(HR 1.40(95% 1.10-1.78))、行走速度峰值(HR 1.07(95% 1.03-1.12))和总睡眠时间长(HR 1.50(1.02-2.22))与结果相关。以16小时为分界点的非活动持续时间的剂量-反应关系呈U形,峰值步频和睡眠的剂量-反应关系呈线性。预测模型的AUROC为0.70 ±0.03,头几个月的准确性最高:结论:可穿戴设备在 28 天内收集的 24 小时运动和睡眠行为与日后适当的 ICD 治疗风险有关。测试数字生物标志物对增强室性心律失常风险分层的预测价值需要进行更大规模的前瞻性研究:国家试验注册(NL9218, http://onderzoekmetmensen.nl/)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Europace
Europace 医学-心血管系统
CiteScore
10.30
自引率
8.20%
发文量
851
审稿时长
3-6 weeks
期刊介绍: EP - Europace - European Journal of Pacing, Arrhythmias and Cardiac Electrophysiology of the European Heart Rhythm Association of the European Society of Cardiology. The journal aims to provide an avenue of communication of top quality European and international original scientific work and reviews in the fields of Arrhythmias, Pacing and Cellular Electrophysiology. The Journal offers the reader a collection of contemporary original peer-reviewed papers, invited papers and editorial comments together with book reviews and correspondence.
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