Actigraphy in mechanically ventilated pediatric ICU patients: comparison to PSG and evaluation of behavioral circadian rhythmicity

Screen time and sleep duration in pediatric critical care: Secondary analysis of a pilot observational study

PURPOSE

Quantify and describe screen time (screen type, child engagement, adult co-viewing) in eight critically ill children and determine its association with sleep duration before (parent report) and during (actigraphy) a 24-h period in the PICU.

DESIGN AND METHODS

Exploratory secondary analysis of 24-h video and actigraphy recordings in eight children 1-4 years old in the PICU. Videos were coded for screen time using Noldus Observer XT® software. Screen time was compared to American Academy of Pediatrics recommendations (0 h/day <2 years, ≤1 h/day 2-5 years). Parents completed the Brief Infant Sleep Questionnaire-Revised-Short Form (BISQ-R-SF) to understand children's pre-hospital sleep. Actigraphy was used to measure PICU sleep duration. Associations between screen time and sleep were determined with bivariate analyses.

RESULTS

Average age was 23.1 months (SD = 9.7). Daily screen time was 10.7 h (SD = 7), ranging from 2.4 to 21.4 h. Children (15.1% of sampling intervals) and adults (16.3%) spent little time actively engaged with screen media. BISQ-R-SF scores ranged from 48.9 to 97.7. Children had an average of 7.9 (SD = 1.2) night shift (19:00-6:59) sleep hours. Screen time was associated with worse pre-hospital sleep quality and duration with large effect sizes (rs= -0.7 to -1) and fewer nighttime sleep hours with a medium effect size (rs= -0.5).

CONCLUSIONS

All children exceeded screen time recommendations. Screen time was associated with worse pre-hospital sleep quality and duration, and decreased PICU sleep duration. Large-scale studies are needed to explore PICU screen time and sleep disruption.

PRACTICE IMPLICATIONS

Clinicians should model developmentally appropriate screen media use in PICU.

Emerging methods for measuring physical activity using accelerometry in children and adolescents with neuromotor disorders: a narrative review

BACKGROUND

Children and adolescents with neuromotor disorders need regular physical activity to maintain optimal health and functional independence throughout their development. To this end, reliable measures of physical activity are integral to both assessing habitual physical activity and testing the efficacy of the many interventions designed to increase physical activity in these children. Wearable accelerometers have been used for children with neuromotor disorders for decades; however, studies most often use disorder-specific cut points to categorize physical activity intensity, which lack generalizability to a free-living environment. No reviews of accelerometer data processing methods have discussed the novel use of machine learning techniques for monitoring physical activity in children with neuromotor disorders.

METHODS

In this narrative review, we discuss traditional measures of physical activity (including questionnaires and objective accelerometry measures), the limitations of standard analysis for accelerometry in this unique population, and the potential benefits of applying machine learning approaches. We also provide recommendations for using machine learning approaches to monitor physical activity.

CONCLUSIONS

While wearable accelerometers provided a much-needed method to quantify physical activity, standard cut point analyses have limitations in children with neuromotor disorders. Machine learning models are a more robust method of analyzing accelerometer data in pediatric neuromotor disorders and using these methods over disorder-specific cut points is likely to improve accuracy of classifying both type and intensity of physical activity. Notably, there remains a critical need for further development of classifiers for children with more severe motor impairments, preschool aged children, and children in hospital settings.

Pediatric Intensive Care Unit related Sleep and Circadian Dysregulation: a focused review

The pediatric intensive care unit (PICU) is bright, loud, and disruptive to children. Strategies to improve the sleep of adults in the ICU have improved delirium and mortality rates. Children need more sleep than adults for active growth, healing, and development when well; this is likely true when they are critically ill. This review was performed to describe what we know in this area to date with the intent to identify future directions for research in this field. Since the 1990s, 16 articles on 14 observational trials have been published investigating the sleep on a total of 312 critically ill children and the melatonin levels of an additional 144. Sleep measurements occurred in 9 studies through bedside observation (n = 2), actigraphy (n = 2), electroencephalogram (n = 1) and polysomnography (n = 4), of which polysomnography is the most reliable. Children in the PICU sleep more during the day, have fragmented sleep and disturbed sleep architecture. Melatonin levels may be elevated and peak later in critically ill children. Early data suggest there are at-risk subgroups for sleep and circadian disruption in the PICU including those with sepsis, burns, traumatic brain injury and after cardiothoracic surgery. The available literature describing the sleep of critically ill children is limited to small single-center observational studies with varying measurements of sleep and inconsistent findings. Future studies should use validated measurements and standardized definitions to begin to harmonize this area of medicine to build toward pragmatic interventional trials that may shift the paradigm of care in the pediatric intensive care unit.

Sleep quantity and quality of critically ill children perceived by caregivers and bedside nursing staff: a pilot study

STUDY OBJECTIVES

Sleep is crucial for healing but often impaired in the pediatric intensive care unit due to environmental disruptions. Caregivers and bedside nursing staff are often most aware of these factors and the impact on patient sleep, but studies have not yet compared their perceptions.

METHODS

Caregivers and bedside nursing staff of pediatric patients staying a second night in the pediatric intensive care unit were asked to complete a survey regarding environmental factors (ie, temperature, light, sound, nursing staff room entries), sleep quality, and sleep quantity (ie, sleep duration, number of naps) of the pediatric patient. Caregivers were asked similar questions about their child's sleep at home.

RESULTS

The caregivers and nursing staff of 31 pediatric patients participated in this pilot study. There was no significant difference between caregiver and nursing staff ratings of sleep quality, sleep duration, number of naps, room temperature, sound, or light (P > .05 for all). Nursing staff did report significantly more room entries than caregivers (P = .01). Compared to sleep at home, caregivers reported sleep in the hospital to be of lower quality (P = .009) with more frequent room entries (P = .01).

CONCLUSIONS

Caregivers rate their child's sleep in the pediatric intensive care unit as lower quality than sleep at home. Caregivers and bedside nursing staff largely agree about pediatric patient sleep quality and quantity as well as environmental factors. This agreement may facilitate further research and interventions at improving sleep in the pediatric intensive care unit.

CITATION

Witte MA, Lloyd RM, McGree M, Kawai Y. Sleep quantity and quality of critically ill children perceived by caregivers and bedside nursing staff: a pilot study. J Clin Sleep Med. 2023;19(12):2027-2033.

An observational pilot study of sleep disruption and delirium in critically ill children

BACKGROUND

Sleep disruption is frequently observed in children with delirium in the pediatric intensive care unit (PICU).

OBJECTIVES

This observational pilot study explores relationships among modifiable characteristics of the PICU environment (i.e., light, sound, clinician caregiving patterns), sleep disruption, and delirium.

METHODS

Ten children, 1 to 4 years old, were recruited within 48 h of PICU admission and followed until discharge. A light meter, dosimeter, and video camera were placed at bedside to measure PICU environmental exposures. Sleep was measured via actigraphy. Twice daily delirium screening was conducted. Descriptive statistics were used to describe the PICU environment, sleep, and delirium experienced by children. Bivariate analyses were performed to determine relationships among variables.

RESULTS

Average participant age was 21 (SD = 9.6) months. Eight (80%) were admitted for respiratory failure. Median PICU length of stay was 36.7 (IQR[29.6, 51.5]) hours, which limited data collection duration. Delirium prevalence was 60% (n = 6). Children experienced low daytime light levels (x¯ = 112.8 lux, SD = 145.5) and frequent peaks (x¯ = 1.9/hr, SD = 0.5) of excessive sound (i.e., ≥ 45 A-weighted decibels). Clinician caregiving episodes were frequent (x¯ = 4.5/hr, SD = 2.6). Children experienced 7.3 (SD = 2.1) awakenings per hour of sleep and a median sleep episode duration of 1.4 (IQR[0.6, 2.3]) hours. On average, children with delirium experienced 1.1 more awakenings per sleep hour and 42 fewer minutes of sleep per sleep episode during the night shift. Increased clinician care frequency and duration were associated with worse sleep quality and delirium.

CONCLUSIONS

Study results will inform future, large-scale research and nurse-driven sleep promotion interventions.

Extended Reality Use in Paediatric Intensive Care: A Scoping Review

Background: Extended reality (XR) technology such as virtual and augmented reality is increasingly being utilised in paediatric medicine due to its role in medical education and reported positive impacts on outcomes including pain, anxiety, and sleep. To the author's knowledge, no previous reviews investigating the use of XR in paediatric intensive care have been undertaken. Objectives: To scope the use of XR in paediatric intensive care, and assess its barriers to adoption, including safety considerations, cleaning and infection control. Eligibility criteria: All articles of any methodological design discussing the use of XR within paediatric intensive and critical care were included. Sources of evidence: Four databases (EMBASE, CINAHL, PsychInfo, PubMed) and Google Scholar were searched without any limitations on publication year. Charting methods: Data was extracted into Microsoft Excel by two authors independently (AG & SF) and cross-checked for completeness. Results: One hundred and eighty-eight articles were originally identified. Following the application of eligibility criteria 16 articles utilising XR in clinical interventions (n = 7) and medical education (n = 9) were included. Articles utilised VR and AR for highly variable purposes within both medical education (eg disaster preparedness, intubation) and clinical interventions (eg decrease pain, nausea, anxiety and improve Glasgow Coma Scale). Conclusions: While research into the use of XR in paediatric intensive care is still in its infancy it has increased dramatically over the past 5 years within two key areas. Firstly, in healthcare education, to assist in the acquisition of PICU-specific knowledge and practice of skills such as intubation of difficult airways. Secondly, studies have evaluated and demonstrated that with appropriate use, VR appears to be a safe and feasible intervention to decrease pain and anxiety in PICU patients.

Sedation/agitation monitoring using a wearable device for ventilated children

BACKGROUND

Developing continuous and labor-saving sedation/agitation monitoring methods in ventilated children is important to avoid undesirable events such as unplanned extubation. The existing scales are often challenging to use. We therefore aimed to evaluate the feasibility of sedation/agitation monitoring using a wearable device with a built-in accelerometer for ventilated children.

METHODS

This prospective observational pilot study included children aged 15 years or less, admitted to the pediatric intensive care unit on mechanical ventilation after cardiac catheterization between December 2021 and April 2022. The wearable device with a built-in accelerometer was attached to either of the upper limbs, and accelerations due to upper limb movements were measured for 2 h after admission or until extubation, whichever was earliest. Accelerations were measured at 0.02 s intervals, with the mean acceleration calculated for each 1 min interval. The State Behavioral Scale (SBS) was completed at 1 min intervals, with the SBS score (-1, 0, 1, or 2) compared with the mean acceleration.

RESULTS

The study included 20 children with a median age of 12 months. The mean accelerations and SBS scores were positively correlated (Kendall's τ, 0.22; p < 0.001), with an increase in the median (interquartile range) acceleration from an SBS score of -1 through 2, as follows: SBS -1, 0.200 (0.151-0.232) m/s2 ; SBS 0, 0.202 (0.190-0.235) m/s2 ; SBS, 1, 0.312 (0.236-0.427) m/s2 ; SBS 2, 0.455 (0.332-0.517) m/s2 . No adverse events were observed.

CONCLUSIONS

This study showed that continuous, labor-saving sedation/agitation monitoring of ventilated children was feasible using a wearable device with a built-in accelerometer.

Sleep disruption and delirium in critically ill children: Study protocol feasibility

Delirium is a serious complication of pediatric critical illness. Sleep disruption is frequently observed in children with delirium, and circadian rhythm dysregulation is one proposed cause of delirium. Children admitted to the pediatric intensive care unit (PICU) experience multiple environmental exposures with the potential to disrupt sleep. Although researchers have measured PICU light and sound exposure, sleep, and delirium, these variables have not yet been fully explored in a single study. Furthermore, caregiving patterns have not often been included as a component of the PICU environment. Measuring the light and sound exposure, caregiving patterns, and sleep of critically ill children requires continuous PICU bedside data collection. This presents multiple methodological challenges. In this paper, we describe the protocol for an observational pilot study of the PICU environment, sleep, and delirium experienced by a sample of 10 critically ill children 1-4 years of age. We also evaluate and discuss the feasibility (i.e., acceptability, implementation, practicality) of the study protocol. Light and sound exposure were measured with bedside sensors. Caregiving was quantified through video recording. Sleep was measured via actigraphy and confirmed by video recording. Delirium screening with the Cornell Assessment of Pediatric Delirium was conducted twice daily, either in person or via video review. This study provides a refined measurement framework to inform future, large-scale studies and the development of nurse-driven sleep promotion interventions.