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Traumatic Brain Injury Characteristics Predictive of Subsequent Sleep-Wake Disturbances in Pediatric Patients
Brittany Gerald1,2, J Bryce Ortiz1,3, Tabitha R F Green1
1Department of Child Health, University of Arizona College of Medicine-Phoenix, Phoenix, AZ 85004, USA.
Insights
Sleep-wake disturbances (SWD) are common after pediatric traumatic brain injury (TBI). Older age and severe TBI increase the risk and speed of SWD development in children, highlighting the need for increased awareness.
Area of Science:
- Pediatric Neurology
- Sleep Medicine
- Neurotraumatology
Background:
- Sleep-wake disturbances (SWD) are a potential consequence of pediatric traumatic brain injury (TBI).
- Understanding the predictors of SWD after TBI is crucial for early intervention and management in children.
Purpose of the Study:
- To determine the prevalence of SWD following pediatric TBI.
- To identify TBI characteristics and patient demographics predictive of SWD development.
Main Methods:
- Retrospective study of 207 pediatric TBI patients diagnosed between 2008-2019 with subsequent SWD.
- Data collection via ICD-9/10 codes, including age, gender, TBI severity, prior TBIs, SWD type, and time to onset.
- Statistical analysis using multinomial logit and negative-binomial models.
Main Results:
- SWD prevalence varied by age, with insomnia risk increasing with age and peak 'difficulty sleeping' in 7-9 year olds.
- Older patients and those with severe TBI experienced shorter time to SWD onset.
- Gender did not significantly impact SWD distribution.
Conclusions:
- Pediatric TBI characteristics and patient demographics significantly predict subsequent SWD.
- Findings underscore the importance of educating healthcare providers, parents, and patients about TBI-related sleep risks.
Abstract:
The objective of this study was to determine the prevalence of sleep-wake disturbances (SWD) following pediatric traumatic brain injury (TBI), and to examine characteristics of TBI and patient demographics that might be predictive of subsequent SWD development. This single-institution retrospective study included patients diagnosed with a TBI during 2008-2019 who also had a subsequent diagnosis of an SWD. Data were collected using ICD-9/10 codes for 207 patients and included the following: age at initial TBI, gender, TBI severity, number of TBIs diagnosed prior to SWD diagnosis, type of SWD, and time from initial TBI to SWD diagnosis. Multinomial logit and negative-binomial models were fit to investigate whether the multiple types of SWD and the time to onset of SWD following TBI could be predicted by patient variables. Distributions of SWD diagnosed after TBI were similar between genders. The probability of insomnia increased with increasing patient age. The probability of 'difficulty sleeping' was highest in 7-9 year-old TBI patients. Older TBI patients had shorter time to SWD onset than younger patients. Patients with severe TBI had the shortest time to SWD onset, whereas patients with mild or moderate TBI had comparable times to SWD onset. Multiple TBI characteristics and patient demographics were predictive of a subsequent SWD diagnosis in the pediatric population. This is an important step toward increasing education among providers, parents, and patients about the risk of developing SWD following TBI.
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