The Pediatric Sleep Clinical Global Impressions Scale-A New Tool to Measure Pediatric Insomnia in Autism Spectrum Disorders

Cannabidiol for treatment of Irritability and Aggressive Behavior in Children and Adolescents with ASD: Background and Methods of the CAnnabidiol Study in Children with Autism Spectrum DisordEr (CASCADE) Study

Introduction

Autism spectrum disorder (ASD) is a neurodevelopmental disorder commonly associated with behavioral challenges. There are few evidence based pharmacological interventions available for the treatment of behavioral symptoms associated with ASD. Cannabidiol (CBD), the non-psychoactive component of cannabis, has potential neuroprotective, antiepileptic, anxiolytic, and antipsychotic effects and may be useful in treating the behavioral symptoms of ASD.

Methods

We describe the research methods of a 27-week double-blind placebo-controlled cross-over trial of cannabidiol for the treatment of irritability and aggression associated with ASD, utilizing the irritability subscale of the Aberrant Behavior Checklist-2nd edition (ABC-2) as the primary outcome measure. Adverse effects and safety monitoring protocols are included. Several secondary and exploratory outcomes measures also include anxiety, communication, repetitive behaviors, attention, hyperactivity, autism family experience, and telehealth functional behavior assessment.

Conclusion

There is a significant need for clinical research exploring alternative medications for the treatment of behavioral symptoms of ASD. Cannabidiol (CBD) is being studied for the management of irritability, aggression, and other problem behaviors associated with ASD.

Autism Spectrum Disorder and Sleep

Children and adolescents with autism spectrum disorder (ASD) experience sleep disturbances, particularly insomnia, at rates much higher than the general population. Daytime behavioral problems and parental stress are associated with the resultant sleep deprivation. Behavioral interventions, parental education, and melatonin are effective treatments. The epidemiology of sleep disturbances in youth with ASD is reviewed in this article as well as the latest in treatments.

Insomnia in Children with Autism Spectrum Disorder: A Cross-Sectional Study on Clinical Correlates and Parental Stress

Insomnia is one of the most common co-occurring disorders in children with autism spectrum disorder (ASD). The purpose of this cross-sectional cohort study of 270 children with ASD was to assess the prevalence of insomnia using the Pediatric Sleep Clinical Global Impression Scale and to correlate sleep problems with cognitive level, adaptive behavior, parental stress, behavioral and emotional problems, and severity of core symptoms. Our findings revealed that one-third of children had insomnia and were related to reduced adaptive behaviors and higher levels of parental stress and behavioral and emotional problems. Insomnia must be evaluated in children with ASD to define an appropriate intervention to potentially alleviate the severity of clinical correlates and parental burden.

Characterizing sleep disorders in an autism-specific collection of electronic health records

OBJECTIVE/BACKGROUND

Sleep problems are common in people on the autism spectrum. This study reviews one detailed approach to querying the electronic health record (EHR) in a large tertiary care center.

PATIENTS/METHODS

We developed methods for identifying people on the autism spectrum and defined their sleep problems using the key words, "sleep" or "melatonin", or International Classification of Diseases (ICD) codes. We examined treatment responses of these individuals to melatonin supplementation.

RESULTS

Sleep problems were documented in 86% of patients with ages ranging from 6 to 30 years old. Our specific keyword search yielded more patients with sleep diagnoses than ICD codes alone. About two-thirds of patients who received melatonin supplementation reported benefit from its use.

CONCLUSIONS

Our study provides a framework for using deidentified medical records to characterize sleep, a common co-occurring condition, in people on the autism spectrum. Using specific keywords could be helpful in future work that queries the EHR.

Actigraphy in sleep research with infants and young children: Current practices and future benefits of standardized reporting

Actigraphy is a cost-efficient method to estimate sleep-wake patterns over long periods in natural settings. However, the lack of methodological standards in actigraphy research complicates the generalization of outcomes. A rapidly growing methodological diversity is visible in the field, which increasingly necessitates the detailed reporting of methodology. We address this problem and evaluate the current state of the art and recent methodological developments in actigraphy reporting with a special focus on infants and young children. Through a systematic literature search on PubMed (keywords: sleep, actigraphy, child *, preschool, children, infant), we identified 126 recent articles (published since 2012), which were classified and evaluated for reporting of actigraphy. Results show that all studies report on the number of days/nights the actigraph was worn. Reporting was good with respect to device model, placement and sleep diary, whereas reporting was worse for epoch length, algorithm, artefact identification, data loss and definition of variables. In the studies with infants only (n = 58), the majority of articles (62.1%) reported a recording of actigraphy that was continuous across 24 hr. Of these, 23 articles (63.9%) analysed the continuous 24-hr data and merely a fifth used actigraphy to quantify daytime sleep. In comparison with an evaluation in 2012, we observed small improvements in reporting of actigraphy methodology. We propose stricter adherence to standards in reporting methodology in order to streamline actigraphy research with infants and young children, to improve comparability and to facilitate big data ventures in the sleep community.

Autism Spectrum Disorder and Sleep

Children and adolescents with autism spectrum disorder (ASD) experience sleep disturbances, particularly insomnia, at rates much higher than the general population. Daytime behavioral problems and parental stress are associated with the resultant sleep deprivation. Behavioral interventions, parental education, and melatonin are effective treatments. The epidemiology of sleep disturbances in youth with ASD is reviewed in this article as well as the latest in treatments.

Trends in (not) using scales in major depression: A categorization and clinical orientation

Background

Standard depression rating scales like the Hamilton Depression Rating Scale and the Montgomery–Åsberg Depression Rating Scale were developed more than 40 years ago. They are mandatory in clinical trials but are for a variety of reasons seldom used in clinical practice. Moreover, most clinicians are less familiar with more recent trends or with some dilemmas in assessment tools for major depression.

Methods

Narrative review.

Results

Asssessment tools can be observer-rating or self-rating scales, disease-specific or non–disease-specific scales, subjective scales or objective lab assessments, standard questionnaires or experience sampling methods. An overarching question is to what degree current assessment methods really address the individual patient’s needs and treatment expectations.

Conclusions

The present paper aims to offer a framework for understanding the current trends in assessment tools that can orientate and guide the clinician.

Pediatric Sleep Tools: An Updated Literature Review

Since a thorough review in 2011 by Spruyt, into the integral pitfalls of pediatric questionnaires in sleep, sleep researchers worldwide have further evaluated many existing tools. This systematic review aims to comprehensively evaluate and summarize the tools currently in circulation and provide recommendations for potential evolving avenues of pediatric sleep interest. 144 "tool"-studies (70 tools) have been published aiming at investigating sleep in primarily 6-18 years old per parental report. Although 27 new tools were discovered, most of the studies translated or evaluated the psychometric properties of existing tools. Some form of normative values has been established in 18 studies. More than half of the tools queried general sleep problems. Extra efforts in tool development are still needed for tools that assess children outside the 6-to-12-year-old age range, as well as for tools examining sleep-related aspects beyond sleep problems/disorders. Especially assessing the validity of tools has been pursued vis-à-vis fulfillment of psychometric criteria. While the Spruyt et al. review provided a rigorous step-by-step guide into the development and validation of such tools, a pattern of steps continue to be overlooked. As these instruments are potentially valuable in assisting in the development of a clinical diagnosis into pediatric sleep pathologies, it is required that while they are primary subjective measures, they behave as objective measures. More tools for specific populations (e.g., in terms of ages, developmental disabilities, and sleep pathologies) are still needed.

Caregiver Daily Reporting of Symptoms in Autism Spectrum Disorder: Observational Study Using Web and Mobile Apps

BACKGROUND

Currently, no medications are approved to treat core symptoms of autism spectrum disorder (ASD). One barrier to ASD medication development is the lack of validated outcome measures able to detect symptom change. Current ASD interventions are often evaluated using retrospective caregiver reports that describe general clinical presentation but often require recall of specific behaviors weeks after they occur, potentially reducing accuracy of the ratings. My JAKE, a mobile and Web-based mobile health (mHealth) app that is part of the Janssen Autism Knowledge Engine-a dynamically updated clinical research system-was designed to help caregivers of individuals with ASD to continuously log symptoms, record treatments, and track progress, to mitigate difficulties associated with retrospective reporting.

OBJECTIVE

My JAKE was deployed in an exploratory, noninterventional clinical trial to evaluate its utility and acceptability to monitor clinical outcomes in ASD. Hypotheses regarding relationships among daily tracking of symptoms, behavior, and retrospective caregiver reports were tested.

METHODS

Caregivers of individuals with ASD aged 6 years to adults (N=144) used the My JAKE app to make daily reports on their child's sleep quality, affect, and other self-selected specific behaviors across the 8- to 10-week observational study. The results were compared with commonly used paper-and-pencil scales acquired over a concurrent period at regular 4-week intervals.

RESULTS

Caregiver reporting of behaviors in real time was successfully captured by My JAKE. On average, caregivers made reports 2-3 days per week across the study period. Caregivers were positive about their use of the system, with over 50% indicating that they would like to use My JAKE to track behavior outside of a clinical trial. More positive average daily reporting of overall type of day was correlated with 4 weekly reports of lower caregiver burden made at 4-week intervals (r=-0.27, P=.006, n=88) and with ASD symptoms (r=-0.42, P<.001, n=112).

CONCLUSIONS

My JAKE reporting aligned with retrospective Web-based or paper-and-pencil scales. Use of mHealth apps, such as My JAKE, has the potential to increase the validity and accuracy of caregiver-reported outcomes and could be a useful way of identifying early changes in response to intervention. Such systems may also assist caregivers in tracking symptoms and behavior outside of a clinical trial, help with personalized goal setting, and monitoring of progress, which could collectively improve understanding of and quality of life for individuals with ASD and their families.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02668991; https://clinicaltrials.gov/ct2/show/NCT02668991.

Psychometric Properties of the Simons Simplex Collection Sleep Interview

BACKGROUND AND PURPOSE

An estimated 40%-80% of children with autism spectrum disorders (ASD) have sleep problems. The Simons Simplex Collection Sleep Interview (SSCSI) is a parent-report questionnaire assessing bedtime and nighttime sleep problems and daytime function. The present study evaluated the factorial model of the SSCSI that best characterizes children aged 4-18 years with ASD.

METHODS

Exploratory factor analysis was performed using principal component analysis and promax rotation, beginning with 16 items and ending with 10 items.

RESULTS

Exploratory factor analysis concluded with ten dichotomous items, plus ageand regular sleep duration, in three factors: nighttime problems, daytime problems, andsleep duration problems. The analysis was performed on the full sample, and onprepubertal (4-8-years), pubertal (9-13-years), and postpubertal (14-18-years) subgroups.

CONCLUSION

Further refinement, including confirmatory factor analysis, test-retest reliability, and convergent validity testing, is needed.

Transdiagnostic Clinical Global Impression Scoring for Routine Clinical Settings

Although there is great interest in the improving the ability to track patients' change over time in routine clinical care settings, no standardized transdiagnostic measure is currently available for busy clinicians to apply. The Clinical Global Impression (CGI) scales are simple measures widely used as outcomes in psychiatric clinical trials. However, the CGI suffers from poorly defined scoring anchors. Efforts to improve the anchors by enhancing the anchor descriptions have proven useful but are limited by being disease-specific, thereby acting as a barrier to the routine clinical adoption of the CGI. To inform the development of more broadly applicable CGI scoring anchors, we surveyed 24 clinical trial investigators, asking them to rank-order seven elements that inform their CGI-Severity (CGI-S) scoring. Symptom severity emerged as the most important element in determining CGI-S scores; the functional status of the patient emerged as a second element. Less importance was given to self-report symptom scores, staff observations, or side effects. Relative rankings of the elements' importance did not differ by investigators' experience nor time usually spent with patients. We integrated these results with published illness-specific CGI anchors to develop the Transdiagnostic CGI (T-CGI), which employs standardized scoring anchors applicable across psychiatric illnesses. Pending validity and reliability evaluations, the T-CGI may prove well-suited for inclusion in routine clinical settings and for incorporation into electronic medical records as a simple and useful measure of treatment efficacy.