Nocturnal oximetry-based evaluation of habitually snoring children

• Published in: American journal of respiratory and critical care medicine Vol. 196; no. 12; pp. 1591 - 1598
• Main Authors: Hornero, Roberto, Kheirandish-Gozal, Leila, Gutiérrez-Tobal, Gonzalo C., Philby, Mona F., Alonso-Álvarez, María Luz, Álvarez, Daniel, Dayyat, Ehab A., Xu, Zhifei, Huang, Yu-Shu, Tamae Kakazu, Maximiliano, Li, Albert M., Van Eyck, Annelies, Brockmann, Pablo E., Ehsan, Zarmina, Simakajornboon, Narong, Kaditis, Athanasios G., Vaquerizo-Villar, Fernando, Crespo Sedano, Andrea, Sans Capdevila, Oscar, von Lukowicz, Magnus, Terán-Santos, Joaquín, Del Campo, Félix, Poets, Christian F., Ferreira, Rosario, Bertran, Katalina, Zhang, Yamei, Schuen, John, Verhulst, Stijn, Gozal, David
• Format: Journal Article
• Language: English
• Published: United States ATS Journals 15.12.2017; American Thoracic Society
• Subjects: Adolescent; Algorithms; Automated pattern recognition; Blood oxygen saturation; Child; Child, Preschool; Female; Humans; Male; Neural network; Nocturnal oximetry; Original; Oximetry - methods; Prospective Studies; Reproducibility of Results; Severity of Illness Index; Sleep Apnea, Obstructive - complications; Sleep Apnea, Obstructive - diagnosis; Snoring - complications; Snoring - diagnosis; Surveys and Questionnaires; nocturnal oximetry; blood oxygen saturation; automated pattern recognition; neural network; childhood obstructive sleep apnea–hypopnea syndrome

Copyright © 2017 by the American Thoracic Society 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. Aut...