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PMID: 39826680 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

A computational fluid dynamics analysis of BiPAP pressure settings on airway biomechanics using a CT-based respiratory tract model.

Respiratory physiology & neurobiology ·Vol. 333 ·2025-00-00 ·页码 104397

Huang X, Saha G, Paul AR, Tahan A, Saha SC

Abstract

Central and Obstructive Sleep Apnea (CSA and OSA), Chronic Obstructive Pulmonary Disease (COPD), and Obesity Hypoventilation Syndrome (OHS) disrupt breathing patterns, posing significant health risks and reducing the quality of life. Bilevel Positive Airway Pressure (BiPAP) therapy offers adjustable inhalation and exhalation pressures, potentially enhancing treatment adaptability for the above diseases. This is the first-ever study that employs Computational Fluid Dynamics (CFD) to examine the biomechanical impacts of BiPAP under four settings: Inspiratory Positive Airway Pressure (IPAP)/Expiratory Positive Airway Pressure (EPAP) of 12/8, 16/6, and 18/8 cmH2O, compared to a without-BiPAP scenario of zero-gauge pressure. Utilizing a computed-tomography-based respiratory tract model from the nasal cavity extending to the 13th generation, we analyzed parameters such as static pressure, shear stress, and airway wall normal force across different airway regions. Our results indicate that BiPAP, particularly at higher IPAP settings, effectively increases static pressure, thereby improving airway patency and potentially reducing the risk of airway collapse in both CSA and OSA. Lower EPAP, on the other hand, helps reduce the work of breathing during exhalation, which is particularly useful for patients who have difficulty exhaling against higher pressures or need to exhale CO2 more effectively. This comparative analysis confirms that BiPAP not only maintains open airways but does so with an adjustable approach that can be used for the specific needs of patients with various respiratory dysfunctions, thereby offering a versatile and effective treatment option.

Keywords
Bilevel positive air pressure Chronic obstructive pulmonary disease Health Human respiratory tract Obesity hypoventilation syndrome Sleep apnea
MeSH 主题词
Humans Hydrodynamics Biomechanical Phenomena/physiology Tomography, X-Ray Computed Respiratory System/diagnostic imaging Computer Simulation Positive-Pressure Respiration/methods
作者与单位
共 5 位作者,点击展开单位 / ORCID
Huang Xinlei
School of Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia.
Saha Goutam
School of Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia.
Paul Akshoy Ranjan
Motilal Nehru National Institute of Technology Allahabad, Prayagraj 211004, India.
Tahan Adele
Adore Pharmacy, Community Pharmacy, 671 Darling St, Rozelle, NSW 2039, Australia.
Saha Suvash C
School of Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia. Electronic address: [email protected].
Article Info
Journal
Respiratory physiology & neurobiology
Abbr.
Respir Physiol Neurobiol
ISSN
1878-1519
Corresponding email
Published
2025-00-00
电子出版
2025-00-16
页码
104397
Language
English
Country/Region
Netherlands
NLM ID
101140022
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