Treatment and persistence/recurrence of sleep-disordered breathing in children with Down syndrome.

OBJECTIVE: Sleep-disordered breathing (SDB) is common in children with Down syndrome, but the trajectory and long-term outcomes are not well-described. In a retrospective longitudinal cohort of children with Down syndrome, study objectives were to (1) characterize polysomnography (PSG), treatments received, and persistence/recurrence of SDB and (2) explore predictors of SDB persistence/recurrence. METHODS: A retrospective cohort study was conducted of children who underwent PSGs between 2004 and 2014. SDB was defined as obstructive sleep apnea (OSA)-mixed (apnea-hypopnea index [AHI] >5 events/hour), central sleep apnea or hypoventilation. PSGs, interventions, and trajectory of SDB were described. Age, body mass index (BMI) Z-score and AHI at first SDB diagnosis were evaluated as predictors of persistent/recurrent SDB. RESULTS: Of 506 children, 120 had ≥1 PSG; 54 had subsequent PSGs. Children with ≥2 PSGs were more likely to have higher total AHI (P = .02) and obstructive-mixed AHI (P = .01). Thirty-five of fifty-four (65%) were initially diagnosed with OSA-mixed SDB. After first PSG, 67 of 120 had OSA-mixed SDB, of whom 25 (37.3%) underwent adenotonsillectomy (T&A), 13 (19.4%) received positive airway pressure (PAP). Those who underwent T&A after PSG were significantly younger than those who received PAP (median age 6.2 vs 12.5 years; P = .005). OSA-mixed SDB persisted/recurred in 33 of 54 (73.3%) with ≥2 PSGs. Persistence/recurrence was not associated with age, AHI or BMI Z-score at first SDB. CONCLUSION: Children with Down syndrome undergoing T&A for SDB were significantly younger than those treated with PAP. SDB persisted/recurred in three of four and was not predicted by age, SDB severity or BMI Z-score. Longitudinal PSG assessment for persistence/recurrence of SDB is required in this population.

The scope of sleep problems in Canadian children and adolescents with obesity.

OBJECTIVE: To determine the scope of sleep concerns, clinical features, and polysomnography (PSG) results and to identify factors that predict obstructive sleep apnea (OSA) in a cohort of children with obesity. METHODS: The study was a multicenter retrospective chart review. Data were collected from three pediatric sleep laboratories over a two year period for all children of age 8-16 years with a body mass index [BMI] ≥95th centile who were undergoing PSG. Data sources included clinical charts and PSG results. Clinical and PSG factors were examined as predictors of OSA. RESULTS: A total of 210 children met inclusion criteria, and 205 had sufficient data for analysis. The mean age was 12.5 ± 2.7 years; and 65% were male. Multiple sleep concerns and comorbidities were reported in most children (90% and 91%, respectively). OSA was identified by PSG in 44% of children; and 28% of children demonstrated moderate/severe OSA. Mouth breathing/nasal congestion (odds ratio [OR] = 0.33, 95% confidence interval [CI] = 0.18-0.61), syndrome/multiple anomalies (OR = 2.4, 95% CI = 1.22-4.93), and family history of OSA (OR = 2.7, 95% CI = 1.2-5.8) or sleep problems (OR = 12.4, 95% CI = 1.5, 99.6) were the only factors predictive of OSA. Oxygen desaturation index <6 events/h measured by PSG showed an OR of 4.96 (95% CI = 2.27-10.86) for the absence of OSA. CONCLUSIONS: Children with obesity who undergo PSG are medically complex with multiple sleep concerns including a high burden of daytime symptoms; slightly less than half of children demonstrate polysomnographic features of OSA. Earlier identification of OSA, recognition of non-OSA sleep concerns, and treatment strategies to improve sleep may contribute to overall health outcomes for children with obesity.

Prevalence of obstructive sleep apnea among obese toddlers and preschool children.

BACKGROUND: Obstructive sleep apnea (OSA) is a common disorder estimated at 1-5% in the school-aged children. With the obesity prevalence reaching staggering rates globally, OSA in obese adolescents is estimated to be 4-5-folds higher than their lean peers. There is a paucity of data regarding obesity-related OSA in children 6 years and less. This is particularly relevant as OSA is associated with neurocognitive deficits. The aim of this study is to evaluate the prevalence of OSA among obese toddlers and preschool children and further to determine what other factors may be associated with the presence of OSA. METHODS: A retrospective study involving children ≤6 years, identified from two Canadian pediatric tertiary care centers who had an in-lab polysomnography (PSG). Obesity was defined by a BMI of > 95th percentile for age and gender or a z-score of > 2. OSA was diagnosed if the obstructive apnea-hypopnea index (OAHI) was greater than 2 events per hour. RESULTS: There were 60 participants included; the mean age was 4.4 years (standard deviation [SD] ± 1.7), mean BMI z-score was 3.0 (SD ± 1.2). Of these, 22/60 (36.6%) had OSA. Compared with the non-OSA group, the OSA group had a higher Epworth sleepiness score (p = 0.03) and were more likely to snore (p = 0.01). CONCLUSION: Young obese children should be assessed for OSA. A history of snoring and daytime sleepiness may be useful indicators to facilitate triage for a PSG, especially in resource-limited settings.

Predicting the presence of sleep-disordered breathing in children with Down syndrome.

OBJECTIVE: Sleep-disordered breathing (SDB) is highly prevalent in children with Down syndrome. Given the scarcity of resources and the presence of risk factors for SDB in this population, the objective of this study is to identify the clinical predictors of SDB, which would assist prioritization of children with Down syndrome for SDB evaluation. METHODS: A retrospective cohort study was conducted on children enrolled in the Down syndrome clinic at CHEO who underwent polysomnography in 2004-2014. Total apnea-hypopnea index (AHI) or obstructive AHI (OAHI) > 5 events/hour was considered clinically significant. Associations between SDB and concurrent diagnoses, referral reasons, and sleep symptoms assessed by questionnaire were examined using Pearson's chi-square test or Fisher's exact test as appropriate. Univariate and multivariate logistic regression analyses were used to examine the predictors of SDB. RESULTS: SDB was present in 42.9% of 119 children, with its highest prevalence at age 8 years. Symptoms were not significantly associated with AHI > 5 events/hour or OAHI > 5 events/hour. Gastroesophageal reflux was associated with lower odds of OAHI > 5 events/hour on univariate testing (odds ratio 0.16, 95% CI 0.04-0.72; p = 0.02) and multivariate analysis (odds ratio 0.05, 95% CI 0.0006-0.50; p = 0.002). CONCLUSIONS: SDB is highly prevalent at all ages in children with Down syndrome. Symptoms did not predict SDB in this population, although gastroesophageal reflux may mimic SDB, which indicates that clinicians should continue to perform ongoing surveillance for SDB throughout the lifespan of children with Down syndrome.