Analysis of mandibular jaw movements to assess ventilatory support management of children with obstructive sleep apnea syndrome treated with positive airway pressure therapies

Abstract

AbstractBackgroundThe polysomnography (PSG) is the gold‐standard for obstructive sleep apnea (OSA) syndrome diagnosis and assessment under positive airway pressure (PAP) therapies in children. Recently, an innovative digital medicine solution, including a mandibular jaw movement (MJM) sensor coupled with automated analysis, has been validated as an alternative to PSG for pediatric application.ObjectiveThis study aimed to assess the reliability of MJM automated analysis for the assessment of residual apnea/hypopnea events during sleep in children with OSA treated with noninvasive ventilation (NIV) or continuous PAP (CPAP).MethodsIn this open‐label prospective non‐randomized multicentric trial, we included children aged from 5 to 18 years with a diagnosis of severe OSA. The children underwent in‐laboratory PSG with simultaneous MJM monitoring and at‐home recording with MJM monitoring 3 months later. Agreement between PSG and MJM analysis in measuring the residual apnea‐hypopnea index (AHI) was evaluated by the Bland−Altman method. The treatment effect on residual AHI was estimated for both PSG and MJM analysis.ResultsFifteen (60% males) children were included with a median age of 12 years [interquartile range 8−15]. Two (17%) were ventilated with NIV and 13 (83%) with CPAP. There was a good agreement between MJM‐AHI and PSG‐AHI with a median bias of −0.25 (95% CI: −3.40 to +2.04) events/h. The reduction in AHI under treatment was consistently significant across the three measurement methods: in‐laboratory PSG and MJM recordings in the laboratory and at home.ConclusionAutomated analysis of MJM is a highly reliable alternative method to assess residual events in a small population treated with PAP therapies.