Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study

Article Article scientifique Article Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study eng 2022-06-08 2022-06-08 author Frodi Diana My 0000-0001-7074-5575 author Manea Vlad 0000-0002-1761-2850 895166 author Diederichsen Søren Zöga 0000-0002-9687-0857 author Svendsen Jesper Hastrup 0000-0001-8466-8515 author Wac Katarzyna 0000-0002-8060-399X 135759 author Andersen Tariq Osman 0000-0002-9342-5520 34 p. 10.3390/jpm12060942 2075-4426 https://www.mdpi.com/2075-4426/12/6/942 <p>Ventricular arrhythmia (VA) is a leading cause of sudden death and health deterioration. Recent advances in predictive analytics and wearable technology for behavior assessment show promise but require further investigation. Yet, previous studies have only assessed other health outcomes and monitored patients for short durations (7-14 days). This study explores how behaviors reported by a consumer wearable can assist VA risk prediction. An exploratory observational study was conducted with participants who had an implantable cardioverter-defibrillator (ICD) and wore a Fitbit Alta HR consumer wearable. Fitbit reported behavioral markers for physical activity (light, fair, vigorous), sleep, and heart rate. A case-crossover analysis using conditional logistic regression assessed the effects of time-adjusted behaviors over 1-8 weeks on VA incidence. Twenty-seven patients (25 males, median age 59 years) were included. Among the participants, ICDs recorded 262 VA events during 8093 days monitored by Fitbit (median follow-up period 960 days). Longer light to fair activity durations and a higher heart rate increased the odds of a VA event (p < 0.001). In contrast, lengthier fair to vigorous activity and sleep durations decreased the odds of a VA event (p < 0.001). Future studies using consumer wearables in a larger population should prioritize these outcomes to further assess VA risk.</p> Implantable cardioverter-defibrillator Ventricular arrhythmia Consumer-wearable activity tracker Wearable Physical activity Sleep Heart rate Co-calibration Risk assessment Early detection Dewey 025.06/650 European Commission Wellbeing and Health Virtual Coach 769765 WellCO EU H2020 118 Information Science Institute S6 false Journal of personalized medicine 12 6 35263282-7dd9-404a-afc9-9a69364b002f Article (Published version) Public Article-scientifique-from-unpaywall.pdf 5424800 application/pdf CC BY openAccess Faculté d'économie et de management / Information Science Institute

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Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study	Journal of personalized medicine			2022	145	227

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