Prediction of the obstruction sites in the upper airway in sleep-disordered breathing based on snoring sound parameters: a systematic review

Autor: Frank Lobbezoo, Ning Zhou, Ghizlane Aarab, Nico de Vries, Chantal den Haan, Pien F. N. Bosschieter, Maurits K.A. van Selms, Madeline J. L. Ravesloot, Zhengfei Huang, Antonius A.J. Hilgevoord
Rok vydání: 2021
Předmět:
Zdroj: Huang, Z, Aarab, G, Ravesloot, M J L, Zhou, N, Bosschieter, P F N, van Selms, M K A, den Haan, C, de Vries, N, Lobbezoo, F & Hilgevoord, A A J 2021, ' Prediction of the obstruction sites in the upper airway in sleep-disordered breathing based on snoring sound parameters : a systematic review ', Sleep Medicine, vol. 88, pp. 116-133 . https://doi.org/10.1016/j.sleep.2021.10.015
Sleep medicine
ISSN: 1878-5506
1389-9457
DOI: 10.1016/j.sleep.2021.10.015
Popis: Background: Identification of the obstruction site in the upper airway may help in treatment selection for patients with sleep-disordered breathing. Because of limitations of existing techniques, there is a continuous search for more feasible methods. Snoring sound parameters were hypothesized to be po-tential predictors of the obstruction site. Therefore, this review aims to i) investigate the association between snoring sound parameters and the obstruction sites; and ii) analyze the methodology of re-ported prediction models of the obstruction sites. Methods: The literature search was conducted in PubMed, Embase.com, CENTRAL, Web of Science, and Scopus in collaboration with a medical librarian. Studies were eligible if they investigated the associa-tions between snoring sound parameters and the obstruction sites, and/or reported prediction models of the obstruction sites based on snoring sound. Results: Of the 1016 retrieved references, 28 eligible studies were included. It was found that the characteristic frequency components generated from lower-level obstructions of the upper airway were higher than those generated from upper-level obstructions. Prediction models were built mainly based on snoring sound parameters in frequency domain. The reported accuracies ranged from 60.4% to 92.2%. Conclusions: Available evidence points toward associations between the snoring sound parameters in the frequency domain and the obstruction sites in the upper airway. It is promising to build a prediction model of the obstruction sites based on snoring sound parameters and participant characteristics, but so far snoring sound analysis does not seem to be a viable diagnostic modality for treatment selection. (c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Databáze: OpenAIRE
Externí odkaz: