Nocturnal Oximetry-based Evaluation of Habitually Snoring Children.

CONCLUSIONS: Neural network-based automated analyses of nSpO2 recordings provide accurate identification of OSA severity among habitually snoring children with a high pre-test probability of OSA. Thus, nocturnal oximetry may enable a simple and effective diagnostic alternative to NPSG leading to more timely interventions and potentially improved outcomes.
PMID: 28759260 [PubMed - as supplied by publisher]

Source: American Journal of Respiratory and Critical Care Medicine - July 31, 2017 Category: Respiratory Medicine Authors: Hornero R, Kheirandish-Gozal L, Gutiérrez-Tobal GC, Philby MF, Alonso-Álvarez ML, Álvarez D, Dayyat EA, Xu Z, Huang YS, Tamae Kakazu M, Li AM, Van Eyck A, Brockmann PE, Ehsan Z, Simakajornboon N, Kaditis AG, Vaquerizo-Villar F, Crespo Sedano A, Sans Ca Tags: Am J Respir Crit Care Med Source Type: research