Effects of Hypoglossal Nerve Stimulation on Upper Airway Structure and Function Using Moving Wall Computational Fluid Dynamics Simulations: A Pilot Study

ABSTRACT Hypoglossal nerve stimulation (HGNS) is an innovative alternative treatment option for obstructive sleep apnoea (OSA) in patients unable to tolerate continuous positive airway pressure. However, the success rate of HGNS is variable, but the reasons underlying variation in treatment efficacy...

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Veröffentlicht in:Journal of sleep research Jg. 34; H. 5; S. e70040 - n/a
Hauptverfasser: Xiao, Qiwei, Ignatiuk, Daniel, Gunatilaka, Chamindu, McConnell, Keith, Schuler, Christine, Romaker, Ann, Ishman, Stacey, Fleck, Robert, Amin, Raouf, Bates, Alister
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England 01.10.2025
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ISSN:0962-1105, 1365-2869, 1365-2869
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Abstract ABSTRACT Hypoglossal nerve stimulation (HGNS) is an innovative alternative treatment option for obstructive sleep apnoea (OSA) in patients unable to tolerate continuous positive airway pressure. However, the success rate of HGNS is variable, but the reasons underlying variation in treatment efficacy are not well understood. In this pilot study of three male subjects, we propose an innovative, non‐invasive method to quantify the structural and functional changes to the upper airway that occur with HGNS. We used four‐dimensional computed tomography (4DCT) and computational fluid dynamics (CFD) simulations of respiratory airflow to quantify how HGNS changes: (1) airway cross‐sectional area (CSA), (2) work done by muscles and air pressure in dilating and collapsing the airway and (3) airway resistance. Subjects underwent 4DCT under natural stage non‐REM 2 (N2) sleep with and without HGNS. Each patient had concurrent electroencephalograms and airflow measurements. CFD simulations were performed based on anatomy and airway motion from 4DCT images and airflow data. HGNS was associated with an increase in neuromuscular work done in dilating the airway (up to 490%); airway CSA increased by up to 300%. Most motion with HGNS occurred in the oropharynx; changes in the nasopharynx and hypopharynx varied between subjects. Minute ventilation increased in all subjects (15%–36%). Airway resistance decreased across the three subjects (73%–97%). Quantifying the parameters measured in this study may help explain variable responses to HGNS as a treatment for OSA. These procedures may, in future, help predict non‐responders to HGNS, isolate reasons for poor responses, or inform device titration.
AbstractList Hypoglossal nerve stimulation (HGNS) is an innovative alternative treatment option for obstructive sleep apnoea (OSA) in patients unable to tolerate continuous positive airway pressure. However, the success rate of HGNS is variable, but the reasons underlying variation in treatment efficacy are not well understood. In this pilot study of three male subjects, we propose an innovative, non-invasive method to quantify the structural and functional changes to the upper airway that occur with HGNS. We used four-dimensional computed tomography (4DCT) and computational fluid dynamics (CFD) simulations of respiratory airflow to quantify how HGNS changes: (1) airway cross-sectional area (CSA), (2) work done by muscles and air pressure in dilating and collapsing the airway and (3) airway resistance. Subjects underwent 4DCT under natural stage non-REM 2 (N2) sleep with and without HGNS. Each patient had concurrent electroencephalograms and airflow measurements. CFD simulations were performed based on anatomy and airway motion from 4DCT images and airflow data. HGNS was associated with an increase in neuromuscular work done in dilating the airway (up to 490%); airway CSA increased by up to 300%. Most motion with HGNS occurred in the oropharynx; changes in the nasopharynx and hypopharynx varied between subjects. Minute ventilation increased in all subjects (15%-36%). Airway resistance decreased across the three subjects (73%-97%). Quantifying the parameters measured in this study may help explain variable responses to HGNS as a treatment for OSA. These procedures may, in future, help predict non-responders to HGNS, isolate reasons for poor responses, or inform device titration.
ABSTRACT Hypoglossal nerve stimulation (HGNS) is an innovative alternative treatment option for obstructive sleep apnoea (OSA) in patients unable to tolerate continuous positive airway pressure. However, the success rate of HGNS is variable, but the reasons underlying variation in treatment efficacy are not well understood. In this pilot study of three male subjects, we propose an innovative, non‐invasive method to quantify the structural and functional changes to the upper airway that occur with HGNS. We used four‐dimensional computed tomography (4DCT) and computational fluid dynamics (CFD) simulations of respiratory airflow to quantify how HGNS changes: (1) airway cross‐sectional area (CSA), (2) work done by muscles and air pressure in dilating and collapsing the airway and (3) airway resistance. Subjects underwent 4DCT under natural stage non‐REM 2 (N2) sleep with and without HGNS. Each patient had concurrent electroencephalograms and airflow measurements. CFD simulations were performed based on anatomy and airway motion from 4DCT images and airflow data. HGNS was associated with an increase in neuromuscular work done in dilating the airway (up to 490%); airway CSA increased by up to 300%. Most motion with HGNS occurred in the oropharynx; changes in the nasopharynx and hypopharynx varied between subjects. Minute ventilation increased in all subjects (15%–36%). Airway resistance decreased across the three subjects (73%–97%). Quantifying the parameters measured in this study may help explain variable responses to HGNS as a treatment for OSA. These procedures may, in future, help predict non‐responders to HGNS, isolate reasons for poor responses, or inform device titration.
Hypoglossal nerve stimulation (HGNS) is an innovative alternative treatment option for obstructive sleep apnoea (OSA) in patients unable to tolerate continuous positive airway pressure. However, the success rate of HGNS is variable, but the reasons underlying variation in treatment efficacy are not well understood. In this pilot study of three male subjects, we propose an innovative, non-invasive method to quantify the structural and functional changes to the upper airway that occur with HGNS. We used four-dimensional computed tomography (4DCT) and computational fluid dynamics (CFD) simulations of respiratory airflow to quantify how HGNS changes: (1) airway cross-sectional area (CSA), (2) work done by muscles and air pressure in dilating and collapsing the airway and (3) airway resistance. Subjects underwent 4DCT under natural stage non-REM 2 (N2) sleep with and without HGNS. Each patient had concurrent electroencephalograms and airflow measurements. CFD simulations were performed based on anatomy and airway motion from 4DCT images and airflow data. HGNS was associated with an increase in neuromuscular work done in dilating the airway (up to 490%); airway CSA increased by up to 300%. Most motion with HGNS occurred in the oropharynx; changes in the nasopharynx and hypopharynx varied between subjects. Minute ventilation increased in all subjects (15%-36%). Airway resistance decreased across the three subjects (73%-97%). Quantifying the parameters measured in this study may help explain variable responses to HGNS as a treatment for OSA. These procedures may, in future, help predict non-responders to HGNS, isolate reasons for poor responses, or inform device titration.Hypoglossal nerve stimulation (HGNS) is an innovative alternative treatment option for obstructive sleep apnoea (OSA) in patients unable to tolerate continuous positive airway pressure. However, the success rate of HGNS is variable, but the reasons underlying variation in treatment efficacy are not well understood. In this pilot study of three male subjects, we propose an innovative, non-invasive method to quantify the structural and functional changes to the upper airway that occur with HGNS. We used four-dimensional computed tomography (4DCT) and computational fluid dynamics (CFD) simulations of respiratory airflow to quantify how HGNS changes: (1) airway cross-sectional area (CSA), (2) work done by muscles and air pressure in dilating and collapsing the airway and (3) airway resistance. Subjects underwent 4DCT under natural stage non-REM 2 (N2) sleep with and without HGNS. Each patient had concurrent electroencephalograms and airflow measurements. CFD simulations were performed based on anatomy and airway motion from 4DCT images and airflow data. HGNS was associated with an increase in neuromuscular work done in dilating the airway (up to 490%); airway CSA increased by up to 300%. Most motion with HGNS occurred in the oropharynx; changes in the nasopharynx and hypopharynx varied between subjects. Minute ventilation increased in all subjects (15%-36%). Airway resistance decreased across the three subjects (73%-97%). Quantifying the parameters measured in this study may help explain variable responses to HGNS as a treatment for OSA. These procedures may, in future, help predict non-responders to HGNS, isolate reasons for poor responses, or inform device titration.
Author Schuler, Christine
Xiao, Qiwei
Gunatilaka, Chamindu
Bates, Alister
Ignatiuk, Daniel
McConnell, Keith
Ishman, Stacey
Amin, Raouf
Romaker, Ann
Fleck, Robert
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  fullname: Bates, Alister
  email: alister.bates@cchmc.org
  organization: University of Cincinnati
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This research was funded by Inspire Medical Systems Inc. However, the research was conducted independently by the authors without input or interference from the funding company.
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Snippet ABSTRACT Hypoglossal nerve stimulation (HGNS) is an innovative alternative treatment option for obstructive sleep apnoea (OSA) in patients unable to tolerate...
Hypoglossal nerve stimulation (HGNS) is an innovative alternative treatment option for obstructive sleep apnoea (OSA) in patients unable to tolerate continuous...
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pubmed
crossref
wiley
SourceType Aggregation Database
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Publisher
StartPage e70040
SubjectTerms Adult
Airway Resistance - physiology
CFD
Computer Simulation
Electric Stimulation Therapy - methods
Four-Dimensional Computed Tomography
HGNS
Humans
Hydrodynamics
Hypoglossal Nerve - physiology
Inspire
Male
Middle Aged
Pilot Projects
Sleep Apnea, Obstructive - diagnostic imaging
Sleep Apnea, Obstructive - physiopathology
Sleep Apnea, Obstructive - therapy
Title Effects of Hypoglossal Nerve Stimulation on Upper Airway Structure and Function Using Moving Wall Computational Fluid Dynamics Simulations: A Pilot Study
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fjsr.70040
https://www.ncbi.nlm.nih.gov/pubmed/40099325
https://www.proquest.com/docview/3178299007
Volume 34
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