Effect of a 1-week intense myofunctional training on obstructive sleep apnoea in children with Down syndrome.

BACKGROUND: Obstructive sleep apnoea (OSA) is common in children with Down syndrome (DS), yet difficult to treat. As muscular hypotonia of the upper airway may cause OSA and is also common in DS, we tested whether intense myofunctional therapy improves OSA in children with DS. PATIENTS AND METHODS: Forty-two children underwent cardiorespiratory sleep studies immediately before and after a 1-week intensive training camp consisting of three daily 45 min sessions of myofunctional exercises according to Padovan. Primary outcome was the mixed-obstructive-apnoea/hypopnoea index (MOAHI), secondary outcomes the ≤3% oxygen desaturation index (DI3), the ≤90% desaturation index (DI90) and the lowest pulse oximeter saturation (SpO2nadir). RESULTS: Eighteen recordings had ≥3 hours of artefact-free recording in both the pretreatment and post-treatment sleep study and were therefore included in the analysis. Mean age was 6.3 years (SD 2.5); 83% had OSA prior to intervention. Mean MOAHI was 6.4 (SD 8.6) before and 6.4 (SD 10.8) after the intervention (p>0.05); the DI3 and SpO2nadir also did not change. Only the DI90 decreased significantly from 2.7 (SD 4.5) to 2.1 (SD 3.7) (p<0.05). CONCLUSION: The 1-week intense myofunctional training camp evaluated here in children with DS had only a marginal effect on OSA. Whether a longer follow-up period or duration of intervention would yield stronger effects remains to be determined.

Nocturnal Oximetry-based Evaluation of Habitually Snoring Children.

RATIONALE: The vast majority of children around the world undergoing adenotonsillectomy for obstructive sleep apnea-hypopnea syndrome (OSA) are not objectively diagnosed by nocturnal polysomnography because of access availability and cost issues. Automated analysis of nocturnal oximetry (nSpO2), which is readily and globally available, could potentially provide a reliable and convenient diagnostic approach for pediatric OSA. METHODS: Deidentified nSpO2 recordings from a total of 4,191 children originating from 13 pediatric sleep laboratories around the world were prospectively evaluated after developing and validating an automated neural network algorithm using an initial set of single-channel nSpO2 recordings from 589 patients referred for suspected OSA. MEASUREMENTS AND MAIN RESULTS: The automatically estimated apnea-hypopnea index (AHI) showed high agreement with AHI from conventional polysomnography (intraclass correlation coefficient, 0.785) when tested in 3,602 additional subjects. Further assessment on the widely used AHI cutoff points of 1, 5, and 10 events/h revealed an incremental diagnostic ability (75.2, 81.7, and 90.2% accuracy; 0.788, 0.854, and 0.913 area under the receiver operating characteristic curve, respectively). CONCLUSIONS: Neural network-based automated analyses of nSpO2 recordings provide accurate identification of OSA severity among habitually snoring children with a high pretest probability of OSA. Thus, nocturnal oximetry may enable a simple and effective diagnostic alternative to nocturnal polysomnography, leading to more timely interventions and potentially improved outcomes.