The role of sleep deficiency in the trajectory of postconcussive symptoms in adolescents

Sleep quantity and quality during the first week postinjury and time to symptom resolution in youth with concussion

OBJECTIVE

To examine bidirectional associations between objective measures of sleep quantity and quality with postconcussion symptoms (PCS) scores in concussed youth during the first week postinjury and to explore the associations between sleep measures and time to symptom resolution.

STUDY DESIGN

We conducted a secondary analysis of a prospectively enrolled cohort of youth (11-17 years) with a physician diagnosed concussion within 72 hours of injury. During the first week postconcussion, sleep quantity (time in bed, total sleep time and daytime sleep) and sleep quality (sleep efficiency, WASO and number of awakenings) were measured using an ActiGraph. We evaluated bidirectional temporal associations between the sleep measures and PCS during the first week postinjury using cross-lagged panel models. We assessed the associations between sleep measures and time to symptom resolution using Cox proportional hazard models.

RESULTS

Participants included 78 concussed youth, 34.6% females, mean age of 14.2 years (SD=2.1). Significant bidirectional associations were observed between PCS and both total sleep time and daytime total sleep in the first week postinjury. Increased daytime sleep was also associated with a decreased likelihood of symptom resolution, adjusted HR (aHR)=0.88, 95% CI=0.78, 0.999. An optimal total sleep time of 418 min per day was associated with a 2.1-fold increased likelihood of symptom resolution (aHR=2.1, 95% CI=1.3, 3.2).

CONCLUSIONS

Clinicians should provide guidance on sleep hygiene, including limiting daytime sleep/naps and getting the appropriate amount of nighttime sleep acutely postconcussion to aid recovery in youth.

Sleep Disturbance and Postconcussive Symptoms in Pediatric Mild Traumatic Brain Injury and Orthopedic Injury

OBJECTIVE

Sleep disturbance (SD) is common after pediatric mild traumatic brain injury (mTBI) and may predict increased postconcussive symptoms (PCS) and prolonged recovery. Our objective was to investigate the relation of SD with PCS in children with mTBI and those with orthopedic injury (OI).

SETTING

Emergency departments (EDs) at 2 children's hospitals in the Midwestern United States.

PARTICIPANTS

Children and adolescents aged 8 to 16 years old diagnosed with either a mTBI ( n = 143) or OI ( n = 74) and recruited within 24 hours postinjury.

DESIGN

Observational, prospective, concurrent cohort study with longitudinal follow-up.

MAIN MEASURES

Parents rated children's preinjury sleep retrospectively shortly after injury, and postinjury sleep at 3 and 6 months postinjury, using the Sleep Disorders Inventory for Students. Parents rated children's preinjury symptoms retrospectively in the emergency department, and parents and children rated PCS at 3 and 6 months, using the Health and Behavior Inventory and the Postconcussive Symptom Interview. Weekly ratings on the Health and Behavior Inventory were also obtained remotely.

RESULTS

Postinjury SD was modestly but not significantly higher in the mTBI group compared to the OI group ( P = .060, d = 0.32). Children with mTBI who were symptomatic postacutely based on parent ratings had worse parent-rated sleep outcomes at 3 and 6 months postinjury compared to children who were not symptomatic. Greater preinjury SD also predicted more postinjury SD and more severe PCS regardless of injury type.

CONCLUSIONS

The results suggest potential bidirectional associations between SD and PCS after mTBI. Studies of treatments for SD following pediatric mTBI are needed.

Clinical Cut Point for the Pittsburgh Sleep Quality Index After Adolescent Concussion

Background

Concussions can have negative implications for sleep quality. Self-report measures, such as the Pittsburgh Sleep Quality Index (PSQI), have been used in clinical and research settings to identify individuals with sleep impairments. However, the accuracy/applicability of historically established PSQI scoring criteria for differentiating good versus poor sleep quality has not been critically examined in adolescents with concussion.

Purpose

To establish a relevant PSQI clinical cut point for adolescents with a recent concussion.

Study Design

Cross-sectional study; Level of evidence, 3.

Methods

Adolescents within 16 days of concussion and uninjured controls completed the PSQI, and a global score of 0 to 21 was calculated. Independent-samples t tests were used to compare PSQI global scores, and logistic regression was used to calculate odds ratios (outcome = group; predictors = PSQI, covariates). A receiver operating characteristic curve was used to evaluate the area under the curve (AUC) and determine the optimal cut point to distinguish between adolescents with and without a concussion.

Results

A total of 110 adolescents with a concussion (mean age, 14.9 ± 1.6 years; 53% female; 9.8 ± 3.6 days since injury) and 129 uninjured controls (mean age, 15.6 ± 1.1 years; 86% female) were included for analysis. The concussion group had significantly worse (higher) PSQI scores than controls (mean, 7.41 ± 3.62 vs 2.26 ± 1.97; P < .001; Cohen d = 1.8). Both the univariable model and multivariable model (controlling for age, sex, concussion history, history of anxiety and/or depression, and self-reported use of sleep medication) had excellent diagnostic accuracy (univariable AUC, 0.90; multivariable AUC, 0.99). Within the multivariable model, a cut point of 4 correctly classified 81% of participants as concussed or control (sensitivity, 87%; specificity, 74%).

Conclusion

Adolescents with a concussion demonstrated worse sleep quality than uninjured controls. The results suggest that sleep quality, as measured by the PSQI, can distinguish between adolescents with and without a concussion, using a cut point of 4.

Cross-Lagged Associations Among Sleep, Headache, and Pain in Pediatric Mild Traumatic Brain Injury: An A-CAP Study

OBJECTIVE

To test cross-lagged associations among sleep, headache, and pain in pediatric mild traumatic brain injury (mTBI).

SETTING, PARTICIPANTS, DESIGN

Children and adolescents aged 8.0 to 16.9 years who sustained a mTBI and presented to 1 of 5 pediatric emergency departments across Canada completed assessments at 1-week, 3 months, and 6 months post-injury as part of a larger prospective cohort study.

MAIN MEASURES

Sleep disturbance was measured using 7 sleep items from the Child Behaviour Checklist. Sleep duration was measured using average weekday and weekend sleep from the Healthy Lifestyle Behaviours Questionnaire. Pain intensity was measured using an 11-point numerical rating scale. Headache severity and associated functional impairment were measured using the Headache Impact Test and 1 item from the Health and Behaviour Inventory. Analyses included trivariate-indicator random-intercept cross-lagged panel models.

RESULTS

Of 633 recruited children, 563 were included in the current study. Headache showed significant within-person, bidirectional, cross-lagged associations with sleep disturbance and duration, as well as with pain intensity. More specifically, worse headache predicted greater sleep disturbance (1-week to 3 months and 3 months to 6 months: Bs = .47, Ps ≤ .013) and shorter sleep duration (1-week to 3 months: B = -.21, P = .006), while greater sleep disturbance predicted worse headache (1-week to 3 months: B = .08, P = .001). Worse headache also predicted higher pain intensity (1-week to 3 months & 3 months to 6 months: Bs ≥ 1.27, P s < .001), while higher pain intensity predicted worse headache (3 months to 6 months: Bs ≥ .03, Ps ≤ .042). No cross-lagged associations involving sleep disturbance or duration with pain intensity were significant.

CONCLUSIONS

Significant bi-directional, cross-lagged associations exist between headache and both sleep and pain. The findings suggest that early intervention for headaches may help prevent later sleep disturbance and pain after pediatric mTBI.

Feasibility of at-Home Sleep Monitoring in Adolescents with and without Concussion

Background

Poor sleep is associated with longer recovery following adolescent concussion, making the longitudinal assessment of sleep important for monitoring recovery and identifying sleep disruptions. An important consideration for successful monitoring of sleep following concussion is the feasibility and adherence of a given sleep monitoring tool when used in an at-home environment. Understanding the usability of different sleep monitoring tools is essential for determining their applicability for longitudinal assessment in an ecologically valid environment.

Purpose

The purpose of this study was to: (1) report on the adherence and feasibility of at-home sleep monitoring in adolescents following concussion, and (2) compare outcomes of subjective and wearable measures of sleep between adolescents with and without a concussion.

Patients and Methods

Participants included adolescents within 21 days of a concussion and uninjured controls that participated in four separate, prospective and longitudinal investigations of sleep following concussion. Sleep data was measured with: (1) Dreem Headband; (2) Philips Actiwatch; (3) Fitbit; and (4) subjective sleep diary. Sleep data was collected nightly, and adherence was defined as percentage of nights the participant used the sleep-monitoring tool over the study duration. Independent t-tests and effect sizes were calculated for the following sleep data outcomes as measured by each of the monitoring tools: duration, efficiency, latency, wake after sleep onset.

Results

Sleep data for a total of 183 adolescents (104 with concussion, 79 uninjured controls) was assessed. Adherence rates across all devices ranged from 53% to 98%, with the subjective sleep diary showing the highest adherence rate for both groups (concussion: 91%, control: 94%). Across the four different monitoring tools, adolescents with a concussion demonstrated longer duration, latency, wake after sleep onset, and lower (worse) efficiency, with medium to large effect sizes.

Conclusion

The results indicate that at-home sleep monitoring is a feasible approach for tracking sleep in adolescents following concussion.

Effect of Sleep Duration and Concussion History on Neurocognitive Testing Symptoms for Post-injury States

OBJECTIVE

Evaluate the influence of sleep duration and concussion history on postconcussion symptoms in adolescent athletes.

DESIGN

Observational retrospective study using the Immediate Post-Concussion Assessment and Cognitive Testing and Post-Concussion Symptom Scale (PCSS). Multivariable linear regression assessed sleep hours against 22 PCSS symptoms, controlling for demographic and health variables.

SETTING

Urban concussion centers in Colorado and Florida, 2009 to 2019.

PARTICIPANTS

11 564 student-athletes aged 12 to 22, categorized by concussion history.

INTERVENTIONS

Analysis of sleep duration and concussion history in relation to neurocognitive and psychiatric symptom severity.

MAIN OUTCOME MEASURES

Primary outcomes included neurocognitive, psychiatric, and total symptom scores. Secondary outcomes were specific PCSS symptoms.

RESULTS

Among 5349 student-athletes, 2671 (49.9%) had no prior concussions and 2678 (50.1%) had 1 or more. For those without prior concussions, sleep was negatively associated with age (β = -0.18, 95% confidence interval [CI], -0.22 to -0.13, P < 0.0001), vomiting (β = -0.22, 95% CI, -0.38 to -0.05, P = 0.012), and difficulty concentrating (β = -0.11, 95% CI, -0.19 to -0.35, P = 0.005). In athletes with a history of concussion, less sleep correlated with decreased age (β = -0.11, 95% CI, -0.14 to -0.07, P < 0.0001), headache (β = -0.065, 95% CI, -0.12 to -0.01, P = 0.031), irritability (β = -0.08, 95% CI, -0.15 to -0.01, P = 0.021), and difficulty concentrating (β = -0.08, 95% CI, -0.15 to -0.01, P = 0.031) but increased sensitivity to light (β = 0.10, 95% CI, 0.001-0.137, P = 0.048), numbness/tingling (β = 0.15, 95% CI, 0.04-0.26, P = 0.008), and feeling slowed down (β = 0.13, 95% CI, 0.05-0.21, P = 0.001).

CONCLUSION

Sleep duration and concussion history are associated with variations in postconcussion symptom severity among adolescent athletes. This data underscore the need for individualized management strategies based on sleep patterns and concussion history.

Sleep After Concussion: A Scoping Review of Sensor Technologies

Sleep disturbances following a concussion/mild traumatic brain injury are associated with longer recovery times and more comorbidities. Sensor technologies can directly monitor sleep-related physiology and provide objective sleep metrics. This scoping review determines how sensor technologies are currently used to monitor sleep following a concussion. We searched Ovid (Medline, Embase), Web of Science, CINAHL, Compendex Engineering Village, and PsycINFO from inception to June 20, 2022, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for scoping reviews. Included studies objectively monitored sleep in participants with concussion. We screened 1081 articles and included 37 in the review. A total of 17 studies implemented polysomnography (PSG) months to years after injury for a median of two nights and provided a wide range of sleep metrics, including sleep-wake times, sleep stages, arousal indices, and periodic limb movements. Twenty-two studies used actigraphy days to weeks after injury for a median of 10 days and nights and provided information limited to sleep-wake times. Sleep stages were most reported in PSG studies, and sleep efficiency was most reported in actigraphy studies. For both technologies there was high variability in reported outcome measures. Sleep sensing technologies may be used to identify how sleep affects concussion recovery. However, high variability in sensor deployment methodologies makes cross-study comparisons difficult and highlights the need for standardization. Consensus on how sleep sensing technologies are used post-concussion may lead to clinical integration with subjective methods for improved sleep monitoring during the recovery period.

Different trajectories of post-concussive symptom subscales after pediatric mild traumatic brain injury: Data from a prospective longitudinal study

PURPOSE

The aim of this study was to investigate the trajectory of parent-rated post-concussive symptoms (PCS), attentional performance and participation within 6 months in children after mild traumatic brain injury (mTBI).

METHODS

For this prospective longitudinal study, we included data on 64 children after mTBI and 57 healthy control children (age 8-16 years). Parents rated PCS using the Post-Concussion Symptom Inventory (PCSI) immediately (T0), 1 week (T1), and 3-6 months after injury (T2). Attentional performance (alertness, selective and divided attention) was measured using the Test of Attentional Performance (TAP) at T1 and T2 and participation was measured using the Child and Adolescent Scale of Participation (CASP) at T2.

RESULTS

Friedman tests showed different trajectories of PCS subscales over time: Compared to pre-injury level, the amount of somatic and cognitive PCS was still elevated at T1, while emotional PCS at T1 were already comparable to pre-injury level. The rating of sleep-related PCS at T2 was significantly elevated compared to the pre-injury rating. Quade ANCOVAs indicated group differences in PCS subscales between patients and controls at T1, but not at T2. Patients and controls showed a similar performance in tests of attention at T1 and T2, but parental rating of participation at school was significantly reduced. Although cognitive PCS and attention were not correlated, there were significantly negative Spearman correlations between participation at home and pre-injury and concurrent PCS at T2.

CONCLUSIONS

Our data imply that sleep-related PCS are still elevated weeks after injury and are thus a target for interventions after mTBI.

Concussion and the Sleeping Brain

BACKGROUND

Emerging research has suggested sleep to be a modifier of the trajectory of concussion recovery in adolescent and adult populations. Despite the growing recognition of the relationship between sleep and concussion, the mechanisms and physiological processes governing this association have yet to be established.

MAIN BODY

Following a concussion, a pathophysiologic cascade of events occurs, characterized by numerous factors including microglia activation, ionic imbalance, and release of excitatory neurotransmitters. Importantly, each of these factors plays a role in the regulation of the sleep-wake cycle. Therefore, dysregulation of sleep following injury may be a function of the diffuse disruption of cerebral functioning in the wake of both axonal damage and secondary physiological events. As the onset of sleep-related symptoms is highly variable following a concussion, clinicians should be aware of when and how these symptoms present. Post-injury changes in sleep have been reported in the acute, sub-acute, and chronic phases of recovery and can prolong symptom resolution, affect neurocognitive performance, and influence mood state. Though these changes support sleep as a modifier of recovery, limited guidance exists for clinicians or their patients in the management of sleep after concussion. This may be attributed to the fact that research has correlated sleep with concussion recovery but has failed to explain why the correlation exists. Sleep is a complex, multifactorial process and the changes seen in sleep that are seen following concussion are the result of interactions amongst numerous processes that regulate the sleep-wake cycle.

SHORT CONCLUSION

The assessment and management of sleep by identifying and considering the biological, sociological, and psychological interactions of this multifactorial process will allow for clinicians to address the dynamic nature of changes in sleep following concussion.

Influence of sleep symptoms on recovery from concussion in collegiate athletes: a LIMBIC MATARS consortium investigation

OBJECTIVE

Changes in sleep quality and quantity are commonly endorsed by individuals following a concussion. Limited data exists examining the role of sleep disturbances within 72 hours, and throughout recovery, from concussion. The objective of this study was to determine if the number of days to symptom resolution varied between collegiate athletes with or without sleep-related symptoms following a concussion.

DESIGN

Retrospective chart review.

METHODS

Collegiate athletes (n = 539) who were diagnosed with a concussion between the 2015-2020 sport seasons participated in this retrospective chart review. Participants were divided into groups based on the presence or absence of sleep symptoms within 72 hours of a diagnosed concussion. A Mann-Whitney U test was used to compare days to symptom resolution between groups with α = 0.05.

RESULTS

Of the 539 participants, 250 (46.3%) reported sleep-related symptoms. Participants with sleep-related symptoms took significantly longer (U = 30656, p = 0.002) to report symptom resolution at rest (median [full range] = 8.00[0-423]) as compared to participants who did not report sleep-related symptoms (6.00[0-243] days).

CONCLUSION

Collegiate athletes that report sleep-related symptoms immediately following concussion (<72 hours) were observed to take, on median, two days longer to achieve symptom resolution at rest when compared to athletes who did not endorse the same symptoms.

Does Sleep Quality Influence Recovery Outcomes After Postconcussive Injury in Children and Adolescents?

OBJECTIVE

To determine whether objective parameters of sleep quality differ throughout recovery between children and adolescents who experienced an early return to school (RTS) and those who had a delayed RTS or did not return at all during the study period.

SETTING

Sleep parameters reflective of sleep quality were evaluated in participants' natural sleeping habitat throughout 9 weeks postinjury.

PARTICIPANTS

Ninety-four children and adolescents (aged 5-18 years) with diagnosed concussion.

DESIGN

Prospective cohort. Participants followed RTS protocols.

MAIN MEASURES

Actigraphy-derived estimates of total sleep time (TST), sleep efficiency (SE), wake after sleep onset (WASO), average arousal length (AAL), and number of arousals (NOAs) per hour were assessed. The length of time from injury until RTS was determined for each participant. Participants were categorized into an early RTS or delayed RTS group based on their time to RTS.

RESULTS

Both TST and SE were significantly greater in the early RTS group. WASO duration, AAL, and NOAs were significantly greater in the delayed RTS group. Differences between RTS groups were most apparent during weeks 1 to 5 postinjury.

CONCLUSIONS AND CLINICAL IMPLICATIONS

Participants who returned to school earlier had significantly better objective sleep quality than participants who experienced a delayed RTS. This study provides evidence in support of a relationship between sleep quality and time to RTS in children and adolescents with concussion. Considering early monitoring of sleep, education regarding sleep hygiene, and access to age-appropriate sleep interventions may be helpful in pediatric concussion recovery.

Nanowired Delivery of Cerebrolysin Together with Antibodies to Amyloid Beta Peptide, Phosphorylated Tau, and Tumor Necrosis Factor Alpha Induces Superior Neuroprotection in Alzheimer's Disease Brain Pathology Exacerbated by Sleep Deprivation

Sleep deprivation induces amyloid beta peptide and phosphorylated tau deposits in the brain and cerebrospinal fluid together with altered serotonin metabolism. Thus, it is likely that sleep deprivation is one of the predisposing factors in precipitating Alzheimer's disease (AD) brain pathology. Our previous studies indicate significant brain pathology following sleep deprivation or AD. Keeping these views in consideration in this review, nanodelivery of monoclonal antibodies to amyloid beta peptide (AβP), phosphorylated tau (p-tau), and tumor necrosis factor alpha (TNF-α) in sleep deprivation-induced AD is discussed based on our own investigations. Our results suggest that nanowired delivery of monoclonal antibodies to AβP with p-tau and TNF-α induces superior neuroprotection in AD caused by sleep deprivation, not reported earlier.

Pediatric Sports-Related Concussion: An Approach to Care

Sports-related concussion (SRC) is a common sports injury in children and adolescents. With the vast amount of youth sports participation, an increase in awareness of concussion and evidence that the injury can lead to consequences for school, sports and overall quality of life, it has become increasingly important to properly diagnose and manage concussion. SRC in the student athlete is a unique and complex injury, and it is important to highlight the differences in the management of child and adolescent concussion compared with adults. This review focuses on the importance of developing a multimodal systematic approach to diagnosing and managing pediatric sports-related concussion, from the sidelines through recovery.

Examining the trajectory and predictors of post-concussion sleep quality in children and adolescents

OBJECTIVES

This study aimed to 1) determine if post-concussion sleep quality of children and adolescents differed from healthy sleep estimates; 2) describe the trajectory of parameters of sleep quality; 3) determine factors that predict sleep quality outcomes; and 4) compare sleep parameter outcomes between asymptomatic and symptomatic participants at 4 weeks post-concussion.

METHODS

Nightly actigraphy estimates of sleep in 79 children and adolescents were measured throughout 4 weeks post-concussion. Total sleep time (TST), sleep efficiency (SE), wake after sleep onset (WASO), number of arousals (NOA), and average arousal length (AAL) were measured.

RESULTS

Child and adolescent participants experienced significantly poorer SE and longer WASO duration throughout 4 weeks of recovery and adolescents experienced significantly longer TST. SE significantly improved with time post-injury (p = .047). Older age was associated with longer TST (p = .003) and female sex was associated with longer WASO (p = .025) and AAL duration (p = .044). Week 4 sleep parameter outcomes were not significantly different between asymptomatic and symptomatic participants.

CONCLUSIONS

The sleep quality of youth is adversely affected by concussion, particularly in females. Sleep quality appears to improve with time but may require more than 4 weeks to return to normal.

From Provider to Advocate: The Complexities of Traumatic Brain Injury Prompt the Evolution of Provider Engagement

Treating a patient with traumatic brain injury requires an interdisciplinary approach because of the pervasive, profound and protean manifestations of this condition. In this review, key aspects of the medical history and review of systems will be described in order to highlight how the role of any provider must evolve to become a better patient advocate. Although this review is written from the vantage point of a vision care provider, it is hoped that patients, caregivers and providers will recognize the need for a team approach.

Assessment and Treatment of Concussion in the Pediatric Population

Traumatic brain injury (TBI) is common in children. The evaluation and management of children with TBI is based on the research performed in adults. There is a relative paucity of research in the literature involving children and many of the practice recommendations for this age are based on expert opinion in the absence of good research studies in both sports and non-sports-related injuries. The pediatric population is heterogeneous and the approach might be specific for infants, preschoolers, school age children, and adolescents. Children may also suffer from neurodevelopmental disabilities, making their evaluation even more challenging. Adult neurologists are often asked to see children due to increasing demands. This review will focus on specific issues related to TBI in children that might be useful to adult neurologists. Science, however, is evolving rapidly and physicians should make sure to remain up to date to offer evidence-based services to their patients.

Efficacy of Melatonin for Sleep Disturbance in Children with Persistent Post-Concussion Symptoms: Secondary Analysis of a Randomized Controlled Trial

Sleep disturbances are commonly reported in children with persistent post-concussion symptoms (PPCS). Melatonin treatment is often recommended, yet supporting evidence is scarce. We aimed to evaluate the efficacy of treatment with melatonin for sleep disturbance in youth with PPCS following mild traumatic brain injury (mTBI). This article is a secondary analysis of a clinical trial of melatonin compared with placebo to treat PPCS. Youth (8-18 years of age) with PPCS and significant sleep-related problems (SRPs) at 4-6 weeks post-injury were eligible. Exclusion criteria: significant medical/psychiatric history; previous concussion/mTBI within 3 months. Treatment groups were: placebo, melatonin 3 mg, or melatonin 10 mg. Primary outcome was change in SRPs measured using the Post-Concussion Symptom Inventory (PCSI) after 2 weeks of treatment. Secondary outcomes included change in actigraphy sleep efficiency, duration, onset latency, and wake-after-sleep-onset. Behavior was measured using Behaviour Assessment for Children (2nd edition). Seventy-two participants (mean age 14.0, standard deviation [SD] = 2.6) years; 60% female) with PPCS and significant sleep disturbance were included in the secondary analysis: placebo (n = 22); melatonin 3 mg (n = 25); melatonin 10 mg (n = 25). Sixty-four participants had actigraphy data. SRPs decreased across all groups over time with a significant effect of melatonin 3 mg (3.7; 95% confidence interval [CI]: 2.1, 5.4) compared with placebo (7.4; 95% CI: 4.2, 10.6) and melatonin 10 mg (6.4; 95% CI: 3.6, 9.2). Sleep duration increased in the melatonin 3 mg (43 min; 95% CI: 6, 93) and melatonin 10 mg groups (55 min; 95% CI: 5, 104) compared with placebo. A per protocol analysis demonstrated improved sleep efficiency in the melatonin 10 mg group (p = 0.029). No serious adverse events were reported. Depressive symptoms significantly decreased with melatonin 3 mg (-4.7; 95% CI: -9.2, -.2) but not with melatonin 10 mg (-1.4, 95% CI: -5.9, 3.2) treatment compared with placebo. Changes in cognition or behavior were otherwise not significantly different between treatment groups. Short-term melatonin is a well-tolerated treatment for sleep disturbance in youth with PPCS following mTBI. In this context, it may also be associated with a reduction in depressive symptoms.

Sleep Parameters and Overnight Urinary Melatonin Production in Children With Persistent Post-concussion Symptoms

BACKGROUND

Sleep disturbance is common after a mild traumatic brain injury (mTBI) in children, yet its biology is poorly understood. We aimed to explore sleep-related problems (SRPs), sleep-activity patterns, and endogenous melatonin production in children with different recovery trajectories following mTBI. We hypothesized that children with delayed recovery would have more SRPs and abnormal sleep-activity patterns, which would correlate with lower overnight melatonin production.

METHODS

In this prospective controlled cohort study, we enrolled 83 children with persistent symptoms, 26 children who had clinically recovered following mTBI, and 25 healthy controls. SRPs were evaluated using the sleep subscale of the Post-Concussion Symptom Inventory. Sleep actigraphy was performed for five to seven days at 37 (S.D. 7) days post-injury. Health-related quality of life and mood disturbance was assessed using the Child Health Questionnaire and the Behavior Assessment System for Children, respectively. Endogenous melatonin production was assessed using overnight urine collection.

RESULTS

The groups were similar in age (13.9 [S.D. 2.6] years) and sex (52% female). Regression analysis demonstrated increased SRP in the symptomatic group (9.0; 95% confidence interval: 7.6, 11.1) compared with the recovered group (1.6; 95% confidence interval: 1.0, 2.4) and controls (2.0; 95% confidence intervals: 1.2, 3.2). Actigraphy parameters and urinary melatonin levels were not significantly different between groups. Neither SRPs nor actigraphy parameters correlated with anxiety and depression scores.

CONCLUSIONS

Although children with persistent post-concussion symptoms reported more SRPs, this was not related to actigraphy sleep parameters or melatonin production. Further research is warranted to understand the pathophysiology of post-traumatic sleep disturbance.

Sleep Moderating the Relationship Between Pain and Health Care Use in Youth With Sickle Cell Disease

OBJECTIVES

The purpose of the current study was to investigate the influence of sleep on the relationship between pain and health care use (HCU) in youth with sickle cell disease (SCD). It was hypothesized that poor sleep would be related to higher HCU and would strengthen the relationship between high pain frequency and more HCU among youth with SCD.

MATERIALS AND METHODS

Ninety-six youth with SCD (aged 8 to 17 y) and their guardians were recruited from 3 regional pediatric SCD clinics. Guardians reported on the youth's pain frequency and HCU using the Structured Pain Interview for parents, and youth wore a sleep actigraph for up to 2 weeks to assess sleep duration and sleep efficiency. A series of regression models were calculated with the following outcomes: emergency department visits, hospitalizations, and health care provider contacts.

RESULTS

Inconsistent with hypotheses, poor sleep was not directly related to HCU. Also, higher sleep duration appeared to strengthen the relationship between high pain frequency and more emergency department visits.

CONCLUSIONS

Findings suggest that good sleep may serve as a protective factor for better matching pain to HCU. Results should be interpreted in the context of study limitations. Research is needed to investigate possible mechanisms linking sleep duration to HCU in response to pain and to ascertain if sleep patterns influence the relationship between pain and other functional outcomes in youth with SCD. Clinically, these findings support the need to acknowledge and address the role that sleep plays in responding to SCD pain in pediatric populations.