Nocturnal Oximetry-based Evaluation of Habitually Snoring Children.
Roberto HorneroLeila Kheirandish-GozalGonzalo C Gutiérrez-TobalMona F PhilbyMaría Luz Alonso-ÁlvarezDaniel ÁlvarezEhab A DayyatZhifei XuYu-Shu HuangMaximiliano Tamae KakazuAlbert M LiAnnelies Van EyckPablo E BrockmannZarmina EhsanNarong SimakajornboonAthanasios G KaditisFernando Vaquerizo-VillarAndrea Crespo SedanoOscar Sans CapdevilaMagnus von LukowiczJoaquín Terán-SantosFélix Del CampoChristian F PoetsRosario FerreiraKatalina BertranYamei ZhangJohn SchuenStijn VerhulstDavid GozalPublished in: American journal of respiratory and critical care medicine (2017)
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.