Obstructive sleep apnea risk factors and symptoms in children with a known parental obstructive sleep apnea diagnosis

Analysis of the Clinical Course of Children With Initial Negative Polysomnography

OBJECTIVES

To determine the clinical course of children with initial negative polysomnography (PSG) tests.

METHODS

A retrospective chart review was performed on pediatric patients seen by an otolaryngologist who underwent a PSG between October 2012 and March 2019 for obstructive sleep apnea at a single, academic, tertiary-care center. Data including demographics, follow-up PSG tests, and surgeries were collected.

RESULTS

A total of 2018 pediatric patients underwent PSG during the timeframe. About 535/2018 (26.5%) patients were negative for obstructive sleep apnea by PSG and had no prior adenotonsillectomy. About 408/535 (76.3%) did not obtain follow-up testing or surgeries; 69/535 (12.9%) underwent subsequent adenotonsillectomy for worsening symptoms without repeat PSG; and 58/535 (10.8%) obtained 1 or multiple follow-up PSG tests. Of the 58 who obtained repeat PSG, 25 (43.1%) were subsequently positive, with 17 of those 25 (29.3% of 58) undergoing adenotonsillectomy. Taken together, 94/535 (17.6%) of patients with initial negative PSG had worsening sleep disordered breathing.

CONCLUSION

A significant minority of children who initially tested negative for pediatric obstructive sleep apnea met criteria for diagnosis on follow up PSG. Additionally, other children with initial negative PSG underwent adenotonsillectomy for worsening symptoms in lieu of repeat testing. Patients should be educated that snoring in children could persist or worsen over time, even in the setting of a initial negative PSG.

Anthropometric measures and obstructive sleep apnea in children and adolescents: a systematic review of the literature and meta-analysis

BACKGROUND

Anthropometric measurements can be used to identify children at risk of developing obstructive sleep apnea (OSA). The study aimed to assess which anthropometric measurements (AMs) are most associated with an increased predisposition to develop OSA in healthy children and adolescents.

METHODS

We performed a systematic review (PROSPERO #CRD42022310572) that searched eight databases and gray literature.

RESULTS

In eight studies with low-to-high risk of bias, investigators reported the following AMs: body mass index (BMI), neck circumference, hip circumference, waist-to-hip ratio, neck-to-waist ratio, waist circumference, waist-to-height ratio, and facial AMs. The meta-analysis showed that the OSA group had an average of 1.00 cm greater for the neck circumference (p < 0.001; Cohen's d = 2.26 [0.72, 5.23]), 3.07 cm greater for the waist circumference (p = 0.030; Cohen's d = 0.28 [0.02, 0.53]), 3.96 cm greater for the hip circumference (p = 0.040; Cohen's d = 0.28 [0.02, 0.55]), 5.21° greater for the cervicomental angle (p = 0.020; Cohen's d = 0.31 [0.03, 0.59]), and 1.23° greater for maxillary-mandibular relationship angle (p < 0.001; Cohen's d = 0.47 [0.22, 0.72]) than the control group. The mandibular depth angle had a reduction of 1.86° (p = 0.001; Cohen's d = -0.36° [-0.65, -0.08]) in control than in patients with OSA. The BMI (p = 0.180), waist-to-hip ratio (p = 0.280), neck-to-waist ratio (p = 0.070), maxillary depth angle (p = 0.250), and upper/lower face height ratio (p = 0.070) showed no significant differences between groups.

CONCLUSIONS

Compared to the control group, the OSA group exhibited a greater mean difference in neck circumference, the only anthropometric measurement with high certainty of evidence.

Variations and Patterns in Sleep: A Feasibility Study of Young Carers in Families with ALS

Introduction: Children and youth under the age of 19 provide daily care for family members living with illness, including Amyotrophic Lateral Sclerosis (ALS). Caregiving affects school performance, social support, stress, and anxiety. Yet, little is known about potential disruptions in sleep. Methods: A quasi-experimental matched comparison of age- and gender-matched young carers (n = 8) and non-carers (n = 12) was used in this study. Participants completed a pre/post survey, wore an actigraphy device, and journaled sleep/wake times for 5 days. Results: Young carers had shorter sleep duration (t = 51.19 (11.99)), efficiency (t = 55.49 (14.00)), sleep quality (t = 51.32 (12.26)), and higher rates of utilizing sleep medications (t = 50.81 (11.49)). The case study sleep data showed that carers had lower total sleep time (CG = 6.75 ± 1.47, NCG = 7.08 ± 1.36) and sleep efficiency than non-caregivers (0.80 ± 0.23). Case examples were reported across groups. Conclusions: The study results demonstrate feasibility, while providing crucial initial case data on sleep quality in young carers. The findings underscore the need to better document the impact of caregiving on young carer’s well-being across several areas, including sleep. This data has implications for larger scale studies examining how sleep disruption impacts well-being more broadly and in providing support and respite interventions for young carers across disorders.