Defining the patterns of PAP adherence in pediatric obstructive sleep apnea: a clustering analysis using real-world data

Identification of obstructive sleep apnea in children with obesity: A cluster analysis approach

BACKGROUND

Obstructive sleep apnea (OSA) is a heterogeneous disorder with a prevalence of 25%-60% in children with obesity. There is a lack of diagnostic tools to identify those at high risk for OSA.

METHOD

Children with obesity, aged 8-19 years old, were enrolled into an ongoing multicenter, prospective cohort study related to OSA. We performed k-means cluster analysis to identify clinical variables which could help identify obesity related OSA.

RESULTS

In this study, 118 participants were included in the analysis; 40.7% were diagnosed with OSA, 46.6% were female and the mean (SD) body mass index (BMI) and age were 39.7 (9.6) Kg/m², and 14.4 (2.6) years, respectively. The mean (SD) obstructive apnea-hypopnea index (OAHI) was 11.0 (21.1) events/h. We identified two distinct clusters based on three clustering variables (age, BMI z-score, and neck-height ratio [NHR]). The prevalence of OSA in clusters 1 and 2, were 22.4% and 58.3% (p = 0.001), respectively. Children in cluster 2, in comparison to cluster 1, had higher BMI z-score (4.7 (1.1) versus 3.2 (0.7), p < 0.001), higher NHR (0.3 (0.02) versus 0.2 (0.01), p < 0.001) and were older (15.0 (2.2) versus 13.7 (2.9) years, p = 0.09), respectively. However, there were no significant differences in sex and OSA symptoms between the clusters. The results from hierarchical clustering were similar to k-means analysis suggesting that the resulting OSA clusters were stable to different analysis approaches.

INTERPRETATION

BMI, NHR, and age are easily obtained in a clinical setting and can be utilized to identify children at high risk for OSA.

Developmental changes in obstructive sleep apnea and sleep architecture in Down syndrome

BACKGROUND

Down syndrome (DS, also known as Trisomy 21) is a condition associated with abnormal neurodevelopment and a higher risk for sleep apnea. Our study sought to better understand and characterize the age-related developmental differences in sleep architecture and obstructive sleep apnea (OSA) severity in children with DS compared to euploid individuals.

METHODS

Retrospective review of polysomnograms in over 4151 infants, children, and adolescents in the pediatric sleep center at Children's National Hospital in Washington D.C. (0-18 years) including 218 individuals with DS.

RESULTS

The primary findings of our study are that: (1) severe OSA (obstructive apnea-hypopnea index ≥ 10/h) was more prevalent in the DS group (euploid 18% vs. DS 34%, p < 0.001) with the highest OSA severity being present in young children (<3 years old) and adolescents (>10 years old), (2) abnormalities in sleep architecture in children with DS were characterized by a prolonged rapid-eye movement (REM) sleep onset latency (SOL) (euploid 119 min vs. DS 144 min, p < 0.001) and greater arousal indexes (euploid 10.7/h vs. DS 12.2/h, p < 0.001), (3) developmental changes in the amount of REM sleep or slow wave sleep were not different in DS individuals relative to euploid children, (4) multivariate analyses showed that OSA and REM sleep latency differences between DS and euploid individuals were still present after adjusting by age, biological sex, and body mass index.

CONCLUSION

Severe OSA is highly prevalent in children with DS and follows an age-dependent "U" distribution with peaks in newborns/infants and children >10 years of age. Children with DS also have disturbances in sleep architecture characterized by a longer REM SOL and elevated arousal indexes. As sleep cycle generation and continuity play crucial roles in neuroplasticity and cognitive development, these findings offer clinically relevant insights to guide anticipatory guidance for infants, children, and adolescents with DS.

Real-world data evaluation of PAP responsiveness in pediatric obstructive sleep apnea

STUDY OBJECTIVES

The use of positive airway pressure (PAP) in children is a complex process determined by multiple factors. There are limited data on the response of the pediatric population to PAP therapy at home. The goal of the study was to examine real-world responses using PAP home monitoring in children with obstructive sleep apnea.

METHODS

The study included PAP therapy data for 195 children aged between 1 month and 18 years with obstructive sleep apnea and polysomnogram baseline study. We collected demographics, clinical variables, and polysomnogram parameters in all study participants. The individual response to PAP therapy was calculated comparing the apnea-hypopnea index (AHI) in the initial polysomnogram with the mean AHI provided by the download of PAP devices. Multivariate models (logistic regression) were used to examine the predictors of positive PAP response defined as a reduction in AHI ≥ 75%.

RESULTS

We found excellent responses to PAP therapy in children (median 85% AHI reduction). However, there was substantial heterogeneity in AHI reductions while on PAP therapy. The best PAP responses were linked to more severe obstructive sleep apnea and higher PAP levels. We also identified that the response to PAP was higher in obese children and lower in males. The best predictive model for individual PAP response was biological sex, obesity, and obstructive AHI ≥ 20 events/h (area under the receiver operating characteristic curve of 0.791).

CONCLUSIONS

Real-world data show that PAP is overall an effective therapy in children but the response is heterogeneous. Obstructive sleep apnea parameters and individual factors can be used to predict individual AHI reductions while on PAP and optimize PAP responses at home.

CITATION

Aguilar H, Kahanowitch R, Weiss M, et al. Real-world data evaluation of PAP responsiveness in pediatric obstructive sleep apnea. J Clin Sleep Med. 2023;19(7):1313-1319.

Pleiotropic effects of a high confidence Autism Spectrum Disorder gene, arid1b, on zebrafish sleep

Sleep fulfills critical functions in neurodevelopment, such as promoting synaptic plasticity, neuronal wiring, and brain connectivity which are critical phenomena in Autism Spectrum Disorder (ASD) pathophysiology. Sleep disturbance, specifically insomnia, accompanies ASD and is associated with more severe core symptoms (e.g., social impairment). It is possible that focusing on identifying effective ways to treat sleep problems can help alleviate other ASD-related symptoms. A body of evidence indicates shared mechanisms and neurobiological substrates between sleep and ASD and investigation of these may inform therapeutic effects of improving sleep at both behavioral and molecular levels. In this study, we tested if sleep and social behavior were different in a zebrafish model with the arid1b gene mutated compared to controls. This gene was selected for study as expert curations conducted for the Simons Foundation for Autism Research Institute (SFARI) Gene database define it is as a 'high confidence' ASD gene (i.e., clearly implicated) encoding a chromatin remodeling protein. Homozygous arid1b mutants displayed increased arousability and light sleep compared to their heterozygous and wild type counterparts, based on testing a mechano-acoustic stimulus presenting different vibration frequencies of increasing intensity to detect sleep depth. In addition, decreased social preference was observed in arid1b heterozygous and homozygous mutant zebrafish. The behavioral phenotypes reported in our study are in line with findings from mouse models and human studies and demonstrate the utility of zebrafish as a vertebrate model system with high throughput phenotyping in the investigation of changes in sleep in models relevant to ASD. Furthermore, we demonstrate the importance of including assessments of arousal threshold when studying sleep using in vivo models.

What’s New in Pediatric Obstructive Sleep Apnea?

Obstructive sleep apnea (OSA) is common children. There is a demand for more family-focused evaluation and novel diagnostic approaches. Drug-induced sleep endoscopy is increasingly being used clinically in children with Down syndrome and other comorbidities. Several studies have examined the association between OSA and other comorbidities during childhood. Therapeutic options for OSA in children remain limited. Recent studies have examined the utility of hypoglossal nerve stimulation in children with Down syndrome. Positive airway pressure has been a mainstay of OSA treatment. Several recent studies have assessed factors associated with adherence. Infants are challenging to treat for OSA.

Patterns of Change in the Severity of Airway Obstruction with Robin Sequence in Early Infancy

Previous studies suggest that infants with Robin sequence show a pattern of steady improvement in the severity of airway obstruction, and of their treatment requirements, during infancy.

Methods

Three infants with Robin sequence and severe obstructive sleep apnea were managed with nasal continuous positive airways pressure (CPAP). Multiple measures of airway obstruction were made during infancy, including CPAP pressure evaluations and sleep studies (screening and polysomnography studies). Parameters reported include obstructive apnea-hypopnea index, oxygen desaturation parameters, and CPAP pressures required for effective airway management.

Results

CPAP pressure requirements increased in all three infants during their first weeks of life. Apnea indices on polysomnography did not track with the CPAP pressure requirements. Peak pressure requirements were at 5 and 7 weeks for two patients, with subsequent gradual decline and cessation of therapy CPAP at 39 and 74 weeks, respectively. The third patient had a complicated course, jaw distraction at 17 weeks, and biphasic CPAP pressure requirement (first peak at 3 weeks, but maximum pressure at 74 weeks), with cessation of CPAP at 75 weeks.

Conclusions

The observed pattern of early increases in CPAP pressure requirements for infants with Robin sequence adds to the complexities of managing this disorder. Factors that may lead to this pattern of change in airway obstruction are discussed.

Adherence to Continuous Positive Airway Pressure Therapy in Pediatric Patients with Obstructive Sleep Apnea: A Meta-Analysis

Introduction

Obstructive sleep apnea (OSA) is a public health problem that affects children. Although continuous positive airway pressure (CPAP) therapy is effective, the CPAP adherence rate in children is varied. This study aimed to evaluate the CPAP adherence rate and factors associated with CPAP adherence in children with OSA using a systematic review.

Methods

The inclusion criteria were observational studies conducted in children with OSA and assessed adherence of CPAP using objective evaluation. The literature search was performed in four databases. Meta-analysis using fixed-effect model was conducted to combine results among included studies.

Results

In all, 34 studies that evaluated adherence rate and predictors of CPAP adherence in children with OSA were included, representing 21,737 patients with an average adherence rate of 46.56%. There were 11 calculations of factors predictive of CPAP adherence: age, sex, ethnicity, body mass index, obesity, income, sleep efficiency, the apnea-hypopnea index (AHI), severity of OSA, residual AHI, and lowest oxygen saturation level. Three different factors were linked to children with adherence and non-adherence to CPAP: age, body mass index, and AHI.

Conclusion

The CPAP adherence rate in children with OSA was 46.56%. Young age, low body mass index, and high AHI were associated with acceptable CPAP adherence in children with OSA.

Factors affecting pediatric adherence to positive airway pressure: Patient- and caregiver-reported treatment barriers and sleep difficulties

OBJECTIVE/BACKGROUND

Adherence to positive airway pressure (PAP) treatment among children and adolescents is often suboptimal. Little is understood about modifiable determinants of PAP adherence. We evaluated whether patient and caregiver-perceived treatment barriers (across behavioral, environmental, emotional, and physical domains), as well as insomnia severity, were associated with PAP adherence among youth with sleep disordered breathing (SDB).

PATIENTS/METHODS

We conducted a retrospective review of 188 patients prescribed PAP, ages 2-19 years. At the clinical visit, PAP adherence was assessed via objective download/smartcard and patients and their caregivers completed validated standardized questionnaires on barriers to PAP adherence and sleep onset and maintenance difficulties. We tested predictors of PAP adherence using linear regression.

RESULTS

On average, patients wore their PAP 2/3 of nights for 5.3 ± 3.4 h. Patients reported more barriers overall compared to caregivers, and specifically more behavioral and emotional barriers (e.g., over a third of patients reported they just want to forget about sleep apnea). After controlling for demographic/treatment characteristics, patient-reported barriers accounted for a significant proportion of the variance in percent nights used (51%) and average nightly use (42%). Greater difficulties with sleep maintenance predicted poorer PAP adherence (percent nights and nightly duration).

CONCLUSIONS

Study findings suggest that assessment of both patient and caregiver-perceived barriers to PAP adherence, as well as evaluating for sleep maintenance concerns, may provide important treatment targets for promoting PAP adherence among youth. Results also support the potential benefit of a multi-disciplinary team-based approach to managing SDB and promoting PAP adherence.

Pediatric pulmonary year in review 2021: Sleep medicine

Pediatric pulmonology publishes original research, review articles, and case reports on a wide variety of pediatric respiratory disorders. In this article, we summarized the past year's publications in sleep medicine and reviewed selected literature from other journals in this field. We focused on original research articles exploring aspects of sleep-disordered breathing in patients with underlying conditions such as cystic fibrosis, asthma, and sickle cell disease. We also explored sleep-disordered breathing risk factors, monitoring, diagnosis, and treatment; and included recent recommendations for drug-induced sleep endoscopy and ways to monitor and improve PAP adherence remotely.

Recent advances in paediatric sleep disordered breathing

This article reviews the latest evidence pertaining to childhood sleep disordered breathing (SDB), which is associated with negative neurobehavioural, cardiovascular and growth outcomes. Polysomnography is the accepted gold standard for diagnosing SDB but is expensive and limited to specialist centres. Simpler tests such as cardiorespiratory polygraphy and pulse oximetry are probably sufficient for diagnosing obstructive sleep apnoea (OSA) in typically developing children, and new data-processing techniques may improve their accuracy. Adenotonsillectomy is the first-line treatment for OSA, with recent evidence showing that intracapsular tonsillectomy results in lower rates of adverse events than traditional techniques. Anti-inflammatory medication and positive airway pressure respiratory support are not always suitable or successful, although weight loss and hypoglossal nerve stimulation may help in select comorbid conditions.

Educational aims

To understand the clinical impact of childhood sleep disordered breathing (SDB).To understand that, while sleep laboratory polysomnography has been the gold standard for diagnosis of SDB, other diagnostic techniques exist with their own benefits and limitations.To recognise that adenotonsillectomy and positive pressure respiratory support are the mainstays of treating childhood SDB, but different approaches may be indicated in certain patient groups.

Cluster analysis of upper airway stimulation adherence patterns and implications on clinical care

Study Objectives

Upper airway stimulation (UAS) therapy is effective for a subset of obstructive sleep apnea (OSA) patients with continuous positive airway pressure (CPAP) intolerance. While overall adherence is high, some patients have suboptimal adherence, which limits efficacy. Our goal was to identify therapy usage patterns during the first 3 months of therapy to enable targeted strategies for improved adherence.

Methods

Therapy data was retrieved from 2098 patients for three months after device activation. Data included mean and standard deviation (SD) of hours of use, therapy pauses, hours from midnight the therapy was turned ON and OFF, percentage of missing days, and stimulation amplitude. Cluster analysis was performed using Gaussian mixture models that categorized patients into six main groups.

Results

The six groups and their prevalence can be summarized as Cluster 1A: Excellent Use (34%); Cluster 1B: Excellent Use with variable timing (23%); Cluster 2A: Good Use with missing days and late therapy ON (16%), Cluster 2B: Good Use with missing days, late therapy ON, and early therapy OFF (12%); Cluster 3A: Variable Use with frequent missing days (8%); Cluster 3B: Variable Use with frequent pauses (7%). Most patients (85%) are excellent or good users with mean therapy use &gt;6 hours per night.

Conclusions

Cluster analysis of early UAS usage patterns identified six distinct groups that may enable personalized interventions for improved long-term management. Differentiation of the patient clusters may have clinical implications with regard to sleep hygiene education, therapy discomfort, comorbid insomnia, and other conditions that impact adherence.