Key result
Longer light to fair activity and higher heart rate increased the odds of ventricular arrhythmia, while lengthier fair to vigorous activity and sleep decreased the odds (p<0.001).
Why the study?
Previous wearable studies assessed other health outcomes and monitored patients only for short durations (7-14 days), leaving the role of consumer wearables in predicting ventricular arrhythmia risk unexplored.
Do behavioral markers reported by a consumer wearable predict ventricular arrhythmia incidence in patients with an implantable cardioverter-defibrillator?
Observational (n=27)
Do behavioral markers reported by a consumer wearable predict ventricular arrhythmia incidence in patients with an implantable cardioverter-defibrillator?
p-value: p=<0.001
Behavioral markers such as physical activity intensity, sleep duration, and heart rate collected from consumer wearables can help predict the risk of ventricular arrhythmias in patients with ICDs.
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.
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Frodi et al. (2022) conducted an observational in Ventricular arrhythmia in patients with an implantable cardioverter-defibrillator (n=27). Physical activity, sleep, and heart rate monitored by Fitbit Alta HR was evaluated on Ventricular arrhythmia (VA) incidence (p=<0.001). Longer light to fair activity and higher heart rate increased the odds of ventricular arrhythmia, while lengthier fair to vigorous activity and sleep decreased the odds (p<0.001).
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