The Asian Paediatric Pulmonology Society (APPS) position statement on childhood obstructive sleep apnea syndrome

Sanjad Sakati syndrome and sleep-disordered breathing: an undisclosed association

BACKGROUND

Sanjad Sakati syndrome (SSS) is a rare autosomal recessive genetic disorder caused by mutation in TBCE (tubulin folding cofactor E) gene. Reported cases were almost exclusively of Middle-Eastern and Arabian children of consanguineous parents. We report the clinical manifestations, outcome, and an observed new association of sleep-disordered breathing (SDB) among children with Sanjad Sakati syndrome.

METHODS

Clinical and routine laboratory data of SSS cases attending Sultan Qaboos University Hospital, Oman, were collected from the electronic patient records or through direct clinic interviews. In-lab polysomnography (PSG) and echocardiography were carried out for all the cases. SDB diagnosis was based on the guidelines of the American Academy of Sleep Medicine.

RESULTS

Of 12 patients with SSS, 5 males (42%), all of them (100%) had obstructive sleep apnea (OSA) and 4 of them (33%) had additional significant central apnea and sleep-related hypoventilation. Eight patients (67%) had severe SDB with mean apnea-hypopnea index (AHI) of 26.5 events/h. Age at time of diagnosis with SDB ranged from 2 to 17 years with mean of 8.9 [Formula: see text] Two patients had severe pulmonary hypertension as a complication of severe SDB and died from type 2 respiratory failure.

CONCLUSIONS

Sleep-disordered breathing is prevalent among children with SSS, especially OSA. This is the first study to report SDB in a large cohort of patients with this extremely rare syndrome. The study results encourage the importance of screening affected patients with SSS for sleep-disordered breathing early before developing severe morbidities such as pulmonary hypertension that further compromise their quality of life.

Approach to the snoring child

Sleep is an important component in a child's growth and development. Snoring is common in children and often perceived as benign, but habitual snoring may be an indication of obstructive sleep apnoea (OSA). OSA can have health, developmental and cognitive consequences. The three common risk factors for paediatric OSA are tonsillar and/or adenoidal hypertrophy, obesity and allergic rhinitis. Primary care providers are well-placed to identify children at risk by screening for habitual snoring and associated OSA risk factors during routine consultations. Physician awareness of OSA symptoms/signs facilitates diagnosis, management and referral decisions. A trial of medical treatment may be considered for habitual snoring with mild symptoms/signs before referral. Overnight polysomnography is the gold standard investigation utilised by paediatric sleep specialists to diagnose OSA. Adenotonsillectomy is the first-line management for OSA with adenotonsillar hypertrophy, but residual/recurrent OSA may occur, so follow-up by primary care providers is important after surgery.

Risk factors of obstructive sleep apnea syndrome in children

Background

The known risk factors of childhood OSAS include tonsillar and adenoidhypertrophy, obesity, craniofacial anomalies, neuromuscular disorders and African-American (AA) ancestry. Whether other factors such as allergic rhinitis (AR), premature, environmental tobacco smoking (ETS) are associated with OSAS are inconsistent in different studies. Our study enrolled children of a broad age range and included potential risk factors of OSAS derived from previous studies and our own experience. Our objective is to identify risk factors of OSAS in children in a clinical setting.

Methods

Children between 2 and 15 years of age exhibiting snoring symptoms who visited the sleep center for polysomnography (PSG) were enrolled. All children completed a questionnaire, physical examination and PSG. The questionnaire included demographic data and information related to potential risk factors for sleep disorders. A physical examination included measurements of height, weight, neck circumference, waist and hip ratio, visual evaluation of the tonsils and the degree of adenoid obstruction. Children with obstructive apnea-hypopnea index (OAHI) ≥ 1 were defined as OSAS.

Results

A total of 1578 children were enrolled and1009 children exhibited OSAS. Univariate analyses showed that snoring occurring for ≥ 3 months, male gender, preterm birth, breastfeeding, obesity, neck circumference ≥ 30 cm, waist/hip ratio ≥ 0.95, tonsillar hypertrophy, and adenoid hypertrophy were associated with OSAS. The proportion of low educational level was higher in parents who breastfed their babies than those who didn’t. Multivariate analysis showed that snoring for ≥ 3 months, male gender, obesity, breastfeeding, tonsillar hypertrophy, and adenoid hypertrophy were associated with OSAS. Confounders such as socioeconomic status, parental occupation, and health-related behaviors should be explored further to investigate the relationship between breastfeeding and OSAS.

Conclusion

The independent risk factors for OSAS in children included snoring ≥ 3 months, male gender, obesity, breastfeeding, tonsillar and adenoid hypertrophy.

The study was registered on Clinical Trials government (NCT02447614). The name of the trial is “Follow-up Studies of Primary Snoring (PS) and Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) in Chinese Children” and the URL is https://clinicaltrials.gov/.

Can standard deviation of overnight pulse oximetry be used to screen childhood obstructive sleep apnea

OBJECTIVES

Pulse oximetry (PO) has been frequently used as an alternative test to polysomnography (PSG) in children. We conducted this study to determine which statistical parameters obtained from overnight PO monitoring would be most suitable and to evaluate its diagnostic performance.

METHODS

We prospectively recruited children with snoring referred for PSG. Subjects were monitored with PO while performing PSG. Eight statistical parameters of SpO₂ data were analyzed to identify which had the best diagnostic performance as assessed by the area under the receiver-operating characteristic curve (AUC). To validate this parameter (which was found to be the standard deviation, SD) in a larger population, we retrospectively extracted raw data of SpO₂ from our previous PSG records, calculated the SD of each patient, and assessed its AUC.

RESULTS

A total of 166 children were recruited in the first phase. SD of SpO₂ was found to have the largest AUC. In the second phase, raw data of 457 patients were extracted. SD of SpO₂ correlated well with the apnea/hypopnea index (AHI) (r = 0.6, P < 0.001). For diagnosis of moderate to severe obstructive sleep apnea (OSA) (AHI ≥5 events/h), AUC was 0.74. SD of SpO₂ ≥1.06 representing mean + 2SD of normal to mild OSA (AHI <5) provided 97% specificity and 92% positive predictive value. The positive likelihood ratio was 11.

CONCLUSION

Calculating the SD of SpO₂, which quantifies the amount of dispersion of SpO₂ values, is a useful initial investigation in childhood OSA. An SD ≥ 1.06 can predict moderate to severe OSA with confidence. This parameter is simple, practical, and readily accessible.