P050 SleepImage® in children at high risk of co-morbid sleep disorders.

Abstract Background The SleepImage software (MyCardio LLC, USA) collects physiological data via a ring and uses cardiopulmonary coupling analysis to assess sleep architecture, breathing and, uniquely, sleep quality. SleepImage has potential for differentiating respiratory and non-respiratory impacts on sleep. Children with neurodevelopmental disorders such as attention deficit hyperactivity disorder, autism spectrum disorder, and Down syndrome are at increased risk of a variety of sleep disorders, not limited to obstructive sleep apnoea (OSA). This population is more likely to have difficulty tolerating polysomnography (PSG). We aim to investigate the usefulness of SleepImage for sleep assessment in children with neurodevelopmental disability. Methods 25 children aged 3 to 18 years with neurodevelopmental disorders will be recruited prospectively and wear the SleepImage ring during simultaneous diagnostic attended PSG. Sleep Disorders Scale for Children (SDSC) questionnaires will be completed to assess a range of sleep problems. SleepImage-generated measures, including total sleep time, apnoea-hypopnoea Index and desaturation indices as well as the novel “sleep quality index” metric will be compared to PSG and SDSC scores to assess SleepImage’s ability to differentiate OSA and other causes of impaired sleep quality. Progress to Date 14 children recruited across 7 weeks. Recruitment anticipated to be complete mid-July, allowing for analysis and study completion by September. Intended outcome and impact This study will evaluate the accuracy of SleepImage for OSA in children with neurodevelopmental disorders. It will also explore the utility of SleepImage in examining sleep quality, which may be of benefit to clinicians in distinguishing respiratory from non-respiratory sleep disorders.