Literature DB >> 34257360

The effect of decongestion on nasal airway patency and airflow.

Qiwei Xiao1,2, Alister J Bates1,2,3, Raul Cetto4, Denis J Doorly5.   

Abstract

Nasal decongestant reduces blood flow to the nasal turbinates, reducing tissue volume and increasing nasal airway patency. This study maps the changes in nasal anatomy and measures how these changes affect nasal resistance, flow partitioning between superior and inferior cavity, flow patterns and wall shear stress. High-resolution MRI was applied to capture nasal anatomy in 10 healthy subjects before and after application of a topical decongestant. Computational fluid dynamics simulated nasal airflow at steady inspiratory flow rates of 15 L.min[Formula: see text] and 30 L.min[Formula: see text]. The results show decongestion mainly increases the cross-sectional area in the turbinate region and SAVR is reduced (median approximately 40[Formula: see text] reduction) in middle and lower parts of the cavity. Decongestion reduces nasal resistance by 50[Formula: see text] on average, while in the posterior cavity, nasal resistance decreases by a median factor of approximately 3 after decongestion. We also find decongestant regularises nasal airflow and alters the partitioning of flow, significantly decreasing flow through the superior portions of the nasal cavity. By comparing nasal anatomies and airflow in their normal state with that when pharmacologically decongested, this study provides data for a broad range of anatomy and airflow conditions, which may help characterize the extent of nasal variability.
© 2021. The Author(s).

Entities:  

Year:  2021        PMID: 34257360     DOI: 10.1038/s41598-021-93769-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  25 in total

Review 1.  A review of the implications of computational fluid dynamic studies on nasal airflow and physiology.

Authors:  S C Leong; X B Chen; H P Lee; D Y Wang
Journal:  Rhinology       Date:  2010-06       Impact factor: 3.681

2.  Computed nasal resistance compared with patient-reported symptoms in surgically treated nasal airway passages: a preliminary report.

Authors:  Julia S Kimbell; Guilherme J M Garcia; Dennis O Frank; Daniel E Cannon; Sachin S Pawar; John S Rhee
Journal:  Am J Rhinol Allergy       Date:  2012 May-Jun       Impact factor: 2.467

Review 3.  Review of computational fluid dynamics in the assessment of nasal air flow and analysis of its limitations.

Authors:  Maurizio Quadrio; Carlotta Pipolo; Stefano Corti; Riccardo Lenzi; Francesco Messina; Chiara Pesci; Giovanni Felisati
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-10-08       Impact factor: 2.503

Review 4.  Rebound congestion and rhinitis medicamentosa: nasal decongestants in clinical practice. Critical review of the literature by a medical panel.

Authors:  G Mortuaire; L de Gabory; M François; G Massé; F Bloch; N Brion; R Jankowski; E Serrano
Journal:  Eur Ann Otorhinolaryngol Head Neck Dis       Date:  2013-02-01       Impact factor: 2.080

5.  Role of virtual surgery in preoperative planning: assessing the individual components of functional nasal airway surgery.

Authors:  John S Rhee; Daniel E Cannon; Dennis O Frank; Julia S Kimbell
Journal:  Arch Facial Plast Surg       Date:  2012 Sep-Oct

6.  Impact of Middle Turbinectomy on Airflow to the Olfactory Cleft: A Computational Fluid Dynamics Study.

Authors:  Suhyla Alam; Chengyu Li; Kathryn H Bradburn; Kai Zhao; Thomas S Lee
Journal:  Am J Rhinol Allergy       Date:  2018-12-13       Impact factor: 2.467

7.  Pathophysiology of nasal congestion.

Authors:  Robert M Naclerio; Claus Bachert; James N Baraniuk
Journal:  Int J Gen Med       Date:  2010-04-08

8.  Revision septoplasty: review of sources of persistent nasal obstruction.

Authors:  Samuel S Becker; Eric J Dobratz; Nicolas Stowell; Daniel Barker; Stephen S Park
Journal:  Am J Rhinol       Date:  2008 Jul-Aug

9.  Rhinomanometry Versus Computational Fluid Dynamics: Correlated, but Different Techniques.

Authors:  Giancarlo B Cherobin; Richard L Voegels; Fábio R Pinna; Eloisa M M S Gebrim; Ryan S Bailey; Guilherme J M Garcia
Journal:  Am J Rhinol Allergy       Date:  2020-08-17       Impact factor: 2.467

10.  A novel imaging technique to evaluate airflow characteristics in the upper airway of an obstructive sleep apnea patient.

Authors:  Hui Chen; Ghizlane Aarab; Jian-Wei Liu; Yong-Liang Yu; Jing Guo; Paul F van der Stelt; Frank Lobbezoo
Journal:  Clin Case Rep       Date:  2017-05-19
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  1 in total

Review 1.  Biomedical and biophysical limits to mathematical modeling of pulmonary system mechanics: a scoping review on aerosol and drug delivery.

Authors:  Hamidreza Mortazavy Beni; Hamed Mortazavi; Mohammad Saidul Islam
Journal:  Biomech Model Mechanobiol       Date:  2021-11-01
  1 in total

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