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Feasibility of using wearable sensors to monitor activity and sleep patterns in inpatients with delirium and Parkinson’s disease

G. Bate, S. Richardson, JP. Taylor, D. Burn, L. Allan, A. Yarnall, Y. Guan, S. Del-Din, R. Lawson (Newcastle-Upon-Tyne, United Kingdom)

Meeting: 2022 International Congress

Abstract Number: 804

Keywords: Multidisciplinary Approach, Parkinson’s, Sleep disorders. See also Restless legs syndrome: Clinical features

Category: Parkinson's Disease: Psychiatric Manifestations

Objective: To assess the feasibility of using wearable sensors in Parkinson’s disease (PD) inpatients with/without delirium and to quantify clinically relevant digital outcomes to facilitate understanding of sleep and activity patterns in this cohort

Background: Delirium is an acute neuropsychiatric syndrome associated with altered levels of consciousness, confusion and impaired attention. Sleep-wake cycle disruptions and motor activity alterations are core domains affected. People with PD may be at a higher risk of developing delirium[1]; however, a diagnosis may be missed due to an overlap in symptoms. Most tools only provide information for a snapshot of time which fails to show the fluctuating nature of delirium. Wearable sensors (WS) provide an objective, non-invasive opportunity to continuously monitor activity and sleep patterns in inpatients with PD

Method: The study is nested within DELIRIUM-PD, a prospective study of inpatients with PD, aiming to establish optimal criteria to identify delirium. In parallel to longitudinal delirium assessments, all eligible inpatients from DELIRIUM-PD, had the option to wear sensors on their lower back and wrist for 7 days to monitor movement and sleep patterns. The location/duration the sensor was worn and the reasons for removal was recorded. A participant compliance rating was collated representing 0–non-compliant to 10–fully compliant. Walking activity outcomes will be quantified using a validated analytical pipeline[2].Sleep metrics including sleep episodes/night awakenings will be derived using GGIR analytical package[3]

Results: Data analysis is ongoing. Forty-six patients (39%-female) were recruited comprising 68 separate admissions(figure 1). Delirium was identified during 69% of admissions. Mean age was 76.31±10.1 years. Mean duration for wearing the sensors was 3.7±2.2 days. 63.2% wore the wrist-sensor only, 1.5% lumbar-sensor only and 35.3% wore both. Participants with delirium had a higher compliance rating for the lumbar-sensor 9.0±2.2 with respect to the wrist-sensor 8.2±2.9. Participants without delirium had a mean compliance rating of 9.1 for both sensors

Conclusion: In inpatients with PD with/without delirium, wearable sensors are feasible to use and well-tolerated. Future work will determine if digital outcomes of activity and sleep may be useful as complementary tools for diagnosis of delirium in people with PD.

Gemma Bate - Figure 1 Recruitment

References: [1] Lawson RA et al, 2020, Int J Geriatr Psychiatry 35(5):547-52
[2] Del Din et al, 2016, IEEE SSP;1-5
[3] van Hees VT, 2015, PLOS ONE, 10(11), p. e0142533.

To cite this abstract in AMA style:

G. Bate, S. Richardson, JP. Taylor, D. Burn, L. Allan, A. Yarnall, Y. Guan, S. Del-Din, R. Lawson. Feasibility of using wearable sensors to monitor activity and sleep patterns in inpatients with delirium and Parkinson’s disease [abstract]. Mov Disord. 2022; 37 (suppl 2). https://www.mdsabstracts.org/abstract/feasibility-of-using-wearable-sensors-to-monitor-activity-and-sleep-patterns-in-inpatients-with-delirium-and-parkinsons-disease/. Accessed May 15, 2025.
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