Using Consumer‐Wearable Activity Trackers for Risk Prediction of Life‐Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter‐Defibrillator: An Exploratory Observational Study
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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. / Frodi, Diana My; Manea, Vlad; Diederichsen, Søren Zöga; Svendsen, Jesper Hastrup; Wac, Katarzyna; Andersen, Tariq Osman.
In: Journal of Personalized Medicine, Vol. 12, No. 6, 942, 2022, p. 1-34.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Using Consumer‐Wearable Activity Trackers for Risk Prediction of Life‐Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter‐Defibrillator
T2 - An Exploratory Observational Study
AU - Frodi, Diana My
AU - Manea, Vlad
AU - Diederichsen, Søren Zöga
AU - Svendsen, Jesper Hastrup
AU - Wac, Katarzyna
AU - Andersen, Tariq Osman
N1 - Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022
Y1 - 2022
N2 - 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. Twentyseven patients (25 males, median age 59 years) were included. Among the participants, ICDs recorded 262 VA events during 8,093 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.
AB - 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. Twentyseven patients (25 males, median age 59 years) were included. Among the participants, ICDs recorded 262 VA events during 8,093 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.
KW - consumer‐wearable activity tracker
KW - co‐calibration
KW - early detection
KW - heart rate
KW - implantable cardioverter‐defibrillator
KW - physical activity
KW - risk assessment
KW - sleep
KW - ventricular arrhythmia
KW - wearable
UR - http://www.scopus.com/inward/record.url?scp=85132142103&partnerID=8YFLogxK
U2 - 10.3390/jpm12060942
DO - 10.3390/jpm12060942
M3 - Journal article
C2 - 35743727
AN - SCOPUS:85132142103
VL - 12
SP - 1
EP - 34
JO - Journal of Personalized Medicine
JF - Journal of Personalized Medicine
SN - 2075-4426
IS - 6
M1 - 942
ER -
ID: 314299263