Sleep problems among children with Fetal Alcohol Spectrum Disorders (FASD)- an explorative study

Sleep Disturbance in Children with Fetal Alcohol Spectrum Disorder and the Relationship to the Neurodevelopmental Profile

OBJECTIVE

Sleep disturbance is an important feature of fetal alcohol spectrum disorder (FASD). We sought to describe sleep patterns in school-aged children with FASD, in comparison with a typically developing community group, and investigate the relationship between sleep and neurodevelopmental profiles.

METHOD

The FASD cohort (N = 36) was recruited from a tertiary Australian FASD diagnostic center, and the typically developing group (N = 36) was previously recruited as a control cohort for a separate study. Sleep disturbance was assessed with the caregiver-completed Sleep Disturbance Scale for Children (SDSC) questionnaire. Neurodevelopmental assessment results for the 10 domains impaired in FASD were used for correlations with sleep disturbance.

RESULTS

In the FASD group, 80% of children scored above the SDSC cutoff, compared with 22% of the control group ( p < 0.001). Statistically significant group differences were seen for all 6 subscales of the SDSC ( p < 0.05). The most frequently affected domains in the FASD group related to difficulties with initiating and maintaining sleep (58%), sleep-wake transition disorders (44%), and disorders of arousal (42%). A statistically significant relationship was not found between sleep and the severity of neurodevelopmental impairment or impairment of a particular domain, acknowledging the limitations of our small sample size. Half of the FASD sample (52%) were taking a pharmaceutical agent to support sleep, which was not associated with lower SDSC scores.

CONCLUSION

In this small study, sleep disturbances were frequently reported by carers of children with FASD, independent of the severity of their neurodevelopmental impairments. Persistent sleep disturbance despite the use of sleep medications highlights the need for prospective studies exploring sleep interventions in this population. Integration of behavioral sleep medicine into management is recommended for all children with FASD.

Reduction of APOE accounts for neurobehavioral deficits in fetal alcohol spectrum disorders

A hallmark of fetal alcohol spectrum disorders (FASD) is neurobehavioral deficits that still do not have effective treatment. Here, we present that reduction of Apolipoprotein E (APOE) is critically involved in neurobehavioral deficits in FASD. We show that prenatal alcohol exposure (PAE) changes chromatin accessibility of Apoe locus, and causes reduction of APOE levels in both the brain and peripheral blood in postnatal mice. Of note, postnatal administration of an APOE receptor agonist (APOE-RA) mitigates motor learning deficits and anxiety in those mice. Several molecular and electrophysiological properties essential for learning, which are altered by PAE, are restored by APOE-RA. Our human genome-wide association study further reveals that the interaction of PAE and a single nucleotide polymorphism in the APOE enhancer which chromatin is closed by PAE in mice is associated with lower scores in the delayed matching-to-sample task in children. APOE in the plasma is also reduced in PAE children, and the reduced level is associated with their lower cognitive performance. These findings suggest that controlling the APOE level can serve as an effective treatment for neurobehavioral deficits in FASD.

Characteristics of sleep in children with heavy prenatal alcohol exposure

BACKGROUND

Sleep plays an important role in neurodevelopment. However, the effects of prenatal alcohol exposure on sleep quality have been understudied, despite reports of sleep disturbance in infants prenatally exposed to alcohol and elevated levels of sleep problems reported by caregivers of children with fetal alcohol spectrum disorders. The current study characterizes sleep in children with prenatal alcohol exposure using both objective (actigraphy) and subjective (questionnaires, sleep diaries) methods.

METHODS

Participants aged 6-10 years, with and without prenatal alcohol exposure, were included in the study (alcohol-exposed [AE]: n = 35; control [CON]: n = 39). Objective sleep was measured via 24-h actigraphy for 2 weeks. Parents completed sleep diaries and sleep questionnaires (Children's Sleep Habits Questionnaire, Pediatric Sleep Questionnaire). Multivariate analysis of variance was used to characterize the sleep profile (objective, subjective) and examine group differences.

RESULTS

There were no group differences on actigraphy metrics averaged across 2 weeks. However, the AE group showed significantly greater intraindividual variability on most actigraphy measures, particularly total sleep time, percent sleep, wake after sleep onset, and number of wake bouts. Parents reported significantly more sleep problems in the AE group than in the CON group, primarily driven by night wakings, parasomnias (e.g., sleepwalking), snoring, and daytime sleepiness. These effects were more severe in children >8.5 years of age.

CONCLUSIONS

Despite similar 2-week average sleep outcomes, children with prenatal alcohol exposure showed greater intraindividual sleep variability and parents reported more sleep problems related to sleep behavior and snoring. These difficulties with sleep may be related to other cognitive and behavioral outcomes. Importantly, sleep is a modifiable behavior, and interventions that focus on variability in sleep, particularly in sleep duration, can impact the quality of life in children with prenatal alcohol exposure and their families.

Carer-reported sleep disturbance and carer- and teacher-rated executive functioning in children with prenatal alcohol exposure and Fetal Alcohol Spectrum Disorder

Children with prenatal alcohol exposure (PAE) and Fetal Alcohol Spectrum Disorder (FASD) have high rates of sleep disturbance and marked difficulties with executive functioning (EF). Sleep disturbance has been associated with poorer EF across development in typically developing children. The contribution of insomnia symptoms and nightmares to EF difficulties in children with PAE and FASD is unclear. The current study examined whether caregiver-reported insomnia symptoms and nightmares predicted difficulties with EF in children with PAE who were assessed at FASD diagnostic clinics. Archival data on 116 children with PAE assessed at FASD diagnostic clinics were extracted from databases. Children were assigned to a preschool-age group (3.1 to 5.9 years, n = 40) and a school-age group (5.9 to 10.9 years, n = 76). Insomnia symptoms and nightmares were measured using items extracted from the Child Behavior Checklist (CBCL) while EF was measured using the caregiver and teacher Behavior Rating Inventory of Executive Function (BRIEF) rating forms. Bootstrapped regression models were used examine the effects of insomnia symptoms and nightmares on domains of EF in each group while adjusting for potential confounds. For preschool children, insomnia symptoms were associated with greater daytime tiredness while nightmares were associated with greater difficulties with Emergent Metacognition according to their teachers. For school-age children, insomnia symptoms predicted greater EF difficulties across most domains according to their caregivers but not teachers. Sleep disturbance may compound EF impairments in children with PAE and should be screened for as part of FASD diagnostic assessment.

Factors to be considered as part of a holistic assessment for fetal alcohol spectrum disorder: A scoping review

We undertook a scoping review to identify the factors outside of current fetal alcohol spectrum disorder (FASD) diagnostic criteria to be considered as part of a holistic assessment process. This included physical, social, cultural, mental health and wellbeing factors to inform targeted recommendations and supports to improve outcomes for individuals with FASD. Evidence from this review will be used to inform the revision of the Australian Guide to the Diagnosis of FASD. Six electronic databases were searched. Studies were eligible if they included factors outside of the diagnostic criteria that cover dysmorphology, growth restriction, neurodevelopmental impairments. Data charting and content analysis were performed to synthesize the results. One hundred twenty-one studies were included that spanned 12 key areas These included physical health, sleep, adverse postnatal experiences, substance use/other risk-taking behaviors, contact with the criminal justice system, mental health, First Nations cultural considerations, transition to adult roles, involvement with the out-of-home care system, feeding and eating, strengths/interests/external resources and incontinence. Areas to be considered as part of a holistic assessment and diagnostic process spanned individual, family, and system level factors. Results provide guidance for clinicians on the wide range of factors that could influence long-term health, development, and wellbeing for individuals with prenatal alcohol exposure and FASD. In practice, this guidance can be used to inform an individualized assessment process to facilitate tailored recommendations and supports to best meet the complex needs of individuals living with FASD and their families.

FASDetect as a machine learning-based screening app for FASD in youth with ADHD

Fetal alcohol-spectrum disorder (FASD) is underdiagnosed and often misdiagnosed as attention-deficit/hyperactivity disorder (ADHD). Here, we develop a screening tool for FASD in youth with ADHD symptoms. To develop the prediction model, medical record data from a German University outpatient unit are assessed including 275 patients aged 0-19 years old with FASD with or without ADHD and 170 patients with ADHD without FASD aged 0-19 years old. We train 6 machine learning models based on 13 selected variables and evaluate their performance. Random forest models yield the best prediction models with a cross-validated AUC of 0.92 (95% confidence interval [0.84, 0.99]). Follow-up analyses indicate that a random forest model with 6 variables - body length and head circumference at birth, IQ, socially intrusive behaviour, poor memory and sleep disturbance - yields equivalent predictive accuracy. We implement the prediction model in a web-based app called FASDetect - a user-friendly, clinically scalable FASD risk calculator that is freely available at https://fasdetect.dhc-lab.hpi.de .

New insights in pediatrics in 2021: choices in allergy and immunology, critical care, endocrinology, gastroenterology, genetics, haematology, infectious diseases, neonatology, neurology, nutrition, palliative care, respiratory tract illnesses and telemedicine

In this review, we report the developments across pediatric subspecialties that have been published in the Italian Journal of Pediatrics in 2021. We highlight advances in allergy and immunology, critical care, endocrinology, gastroenterology, genetics, hematology, infectious diseases, neonatology, neurology, nutrition, palliative care, respiratory tract illnesses and telemedicine.