RT info:eu-repo/semantics/article
T1 Nocturnal Oximetry-based Evaluation of Habitually Snoring Children
A1 Hornero Sánchez, Roberto
A1 Kheirandish Gozal, Leila
A1 Gutiérrez Tobal, Gonzalo César
A1 Philby, Mona F.
A1 Alonso Álvarez, María Luz
A1 Álvarez González, Daniel
A1 Dayyat, Ehab A
A1 Xu, Zhifei
A1 Huang, Yu-Shu
A1 Kakazu, Maximiliano
A1 Li, Albert M
A1 Van Eyck, Annelies
A1 Brockmann, Pablo E
A1 Ehsan, Zarmina
A1 Simakajornboon, Narong
A1 Kaditis, Athanasios G
A1 Vaquerizo Villar, Fernando
A1 Crespo Senado, Andrea
A1 Sans-Capdevila, Oscar
A1 von Lukowicz, Magnus
A1 Terán Santos, Joaquín
A1 Campo Matias, Félix del
A1 Poets, Christian F
A1 Ferreira, Rosario
A1 Bertran, Katalina
A1 Zhang, Yamei
A1 Schuen, John
A1 Verhulst, Stijn
A1 Gozal, David
AB Rationale: The vast majority of children around the worldundergoing adenotonsillectomy for obstructive sleepapnea–hypopnea syndrome (OSA) are not objectively diagnosed bynocturnal polysomnography because of access availability and costissues. Automated analysis of nocturnal oximetry (nSpO2), which isreadily and globally available, could potentially provide a reliable andconvenient diagnostic approach for pediatric OSA.Methods: DeidentifiednSpO2 recordings froma total of 4,191 childrenoriginating from13 pediatric sleep laboratories around the worldwereprospectively evaluated after developing and validating an automatedneural network algorithm using an initial set of single-channel nSpO2recordings from 589 patients referred for suspected OSA.Measurements and Main Results: The automaticallyestimated apnea–hypopnea index (AHI) showed highagreement with AHI from conventional polysomnography(intraclass correlation coefficient, 0.785) when tested in 3,602additional subjects. Further assessment on the widely used AHIcutoff points of 1, 5, and 10 events/h revealed an incrementaldiagnostic ability (75.2, 81.7, and 90.2% accuracy; 0.788, 0.854, and0.913 area under the receiver operating characteristic curve,respectively).Conclusions: Neural network–based automated analyses ofnSpO2 recordings provide accurate identification of OSAseverity among habitually snoring children with a high pretestprobability of OSA. Thus, nocturnal oximetry may enable asimple and effective diagnostic alternative to nocturnalpolysomnography, leading to more timely interventions andpotentially improved outcomes.
PB ATS Journals
YR 2017
FD 2017
LK http://uvadoc.uva.es/handle/10324/31337
UL http://uvadoc.uva.es/handle/10324/31337
LA eng
NO American Journal of Respiratory and Critical Care Medicine, vol. 196 (12), pp. 1591-1598, 2017
DS UVaDOC
RD 24-nov-2024