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Lookup NU author(s): Dr Zhichao Ma, Dr Michael DrinnanORCiD, Dr Philip Hyde, Dr Javier Munguia ValenzuelaORCiD
This is the final published version of a review published in its final definitive form in 2018. For re-use rights please refer to the publishers terms and conditions.
Continuous Positive-Airway-Pressure (CPAP) therapy is a clinical treatment for moderate or severe Obstructive Sleep Apnea (OSA). Commercial CPAP mask designs normally come in standard sizes and the configuration is not commonly tailored to the patients' characteristics such as face topology, skin sensitivity and severity of OSA syndrome; however, an optimal mask/interface selection is a key factor influencing the compliance and effectiveness of CPAP treatment Areas covered: This review investigates the conventional CPAP mask design, its effect on OSA treatment and the related risk factors that can lead to skin damage after long term repeated use. Through a literature search on common databases: SCOPUS, PubMed, Google Scholar, we identified reported facts on the influence of the mask interface, and current trends towards customized devices. Expert Commentary: There is potential for optimizing the CPAP mask fit by adapting the interface to the patients' individual characteristics. This holds particularly true for users with abnormal features or simply outside conventional industry sizing standards. Enabling technologies for undertaking this adaptation include: Reverse engineering, Computational Modelling and Additive Manufacturing. There is to date, no integrated system that integrates those elements into a standard solution, but several studies have shown its effectiveness for specific cohorts.
Author(s): Ma Z, Drinnan M, Hyde P, Munguia J
Publication type: Review
Publication status: Published
Journal: Expert Review of Medical Devices
Year: 2018
Volume: 15
Issue: 10
Pages: 725-733
Online publication date: 19/09/2018
Acceptance date: 14/09/2018
ISSN (print): 1743-4440
ISSN (electronic): 1745-2422
URL: https://doi.org/10.1080/17434440.2018.1525291
DOI: 10.1080/17434440.2018.1525291
PubMed id: 30227754
