Literature DB >> 23775640

Regional peak mucosal cooling predicts the perception of nasal patency.

Kai Zhao1, Jianbo Jiang, Kara Blacker, Brian Lyman, Pamela Dalton, Beverly J Cowart, Edmund A Pribitkin.   

Abstract

OBJECTIVES/HYPOTHESIS: Nasal obstruction is the principal symptom that drives patients with rhinosinus disease to seek medical treatment. However, patient perception of obstruction often bears little relationship to actual measured physical obstruction of airflow. This lack of an objective clinical tool hinders effective diagnosis and treatment. Previous work has suggested that the perception of nasal patency may involve nasal trigeminal activation by cool inspiratory airflow; we attempt to derive clinically relevant variables following this phenomenon. STUDY
DESIGN: Prospective healthy cohort.
METHODS: Twenty-two healthy subjects rated unilateral nasal patency in controlled room air using a visual analog scale, followed by rhinomanometry, acoustic rhinometry, and butanol lateralization thresholds (BLTs). Each subject then immediately underwent a computed tomography scan, enabling the construction of a real-time computational fluid dynamics (CFD) nasal airway model, which was used to simulate nasal mucosa heat loss during steady resting breathing.
RESULTS: Among all measured and computed variables, only CFD-simulated peak heat loss posterior to the nasal vestibule significantly correlated with patency ratings (r = -0.46, P < .01). Linear discriminant analysis predicted patency categories with 89% success rate, with BLT and rhinomanometric nasal resistance being two additional significant variables. As validation, CFD simulated nasal resistance significantly correlated with rhinomanometrically measured resistance (r = 0.41, P < .01).
CONCLUSIONS: These results reveal that our noses are sensing patency via a mechanism involving localized peak nasal mucosal cooling. The analysis provides a strong rationale for combining the individualized CFD with other objective and neurologic measures to create a novel clinical tool to diagnose nasal obstruction and to predict and evaluate treatment outcomes.
© 2013 The American Laryngological, Rhinological and Otological Society, Inc.

Entities:  

Keywords:  Nasal congestion; TRPM8; cool perception; nasal cooling; nasal obstruction; nasal trigeminal sensitivity

Mesh:

Year:  2013        PMID: 23775640      PMCID: PMC3841240          DOI: 10.1002/lary.24265

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  29 in total

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Authors:  R Eccles
Journal:  Acta Otolaryngol       Date:  2000-08       Impact factor: 1.494

2.  Identification of a cold receptor reveals a general role for TRP channels in thermosensation.

Authors:  David D McKemy; Werner M Neuhausser; David Julius
Journal:  Nature       Date:  2002-02-10       Impact factor: 49.962

3.  Nasal trigeminal chemosensitivity across the adult life span.

Authors:  Charles J Wysocki; Beverly J Cowart; Tomas Radil
Journal:  Percept Psychophys       Date:  2003-01

4.  A numerical simulation of intranasal air temperature during inspiration.

Authors:  Joerg Lindemann; Tilman Keck; Kerstin Wiesmiller; Bjoern Sander; Hans-Juergen Brambs; Gerhard Rettinger; Daniela Pless
Journal:  Laryngoscope       Date:  2004-06       Impact factor: 3.325

Review 5.  Air-conditioning characteristics of the human nose.

Authors:  Michael Wolf; Sara Naftali; Robert C Schroter; David Elad
Journal:  J Laryngol Otol       Date:  2004-02       Impact factor: 1.469

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Authors:  Kai Zhao; Peter W Scherer; Shoreh A Hajiloo; Pamela Dalton
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Authors:  R Eccles; A S Jones
Journal:  J Laryngol Otol       Date:  1983-08       Impact factor: 1.469

9.  Differences in nasal irritant sensitivity by age, gender, and allergic rhinitis status.

Authors:  Dennis Shusterman; Mary Alice Murphy; John Balmes
Journal:  Int Arch Occup Environ Health       Date:  2003-08-12       Impact factor: 3.015

10.  Extended follow-up of total inferior turbinate resection for relief of chronic nasal obstruction.

Authors:  G F Moore; T J Freeman; F P Ogren; A J Yonkers
Journal:  Laryngoscope       Date:  1985-09       Impact factor: 3.325

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  29 in total

1.  Estimates of nasal airflow at the nasal cycle mid-point improve the correlation between objective and subjective measures of nasal patency.

Authors:  Courtney Gaberino; John S Rhee; Guilherme J M Garcia
Journal:  Respir Physiol Neurobiol       Date:  2017-01-09       Impact factor: 1.931

2.  Normative ranges of nasal airflow variables in healthy adults.

Authors:  Azadeh A T Borojeni; Guilherme J M Garcia; Masoud Gh Moghaddam; Dennis O Frank-Ito; Julia S Kimbell; Purushottam W Laud; Lisa J Koenig; John S Rhee
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-02       Impact factor: 2.924

Review 3.  Empty nose syndrome.

Authors:  Edward C Kuan; Jeffrey D Suh; Marilene B Wang
Journal:  Curr Allergy Asthma Rep       Date:  2015-01       Impact factor: 4.806

4.  Computational fluid dynamics after endoscopic endonasal skull base surgery-possible empty nose syndrome in the context of middle turbinate resection.

Authors:  Guillermo Maza; Chengyu Li; Jillian P Krebs; Bradley A Otto; Alexander A Farag; Ricardo L Carrau; Kai Zhao
Journal:  Int Forum Allergy Rhinol       Date:  2018-11-29       Impact factor: 3.858

5.  Computational fluid dynamics as surgical planning tool: a pilot study on middle turbinate resection.

Authors:  Kai Zhao; Prashant Malhotra; David Rosen; Pamela Dalton; Edmund A Pribitkin
Journal:  Anat Rec (Hoboken)       Date:  2014-11       Impact factor: 2.064

6.  In reference to Regional peak mucosal cooling predicts the perception of nasal patency.

Authors:  Guilherme J M Garcia; Julia S Kimbell; Dennis O Frank-Ito
Journal:  Laryngoscope       Date:  2014-02-20       Impact factor: 3.325

7.  Computational fluid dynamics and trigeminal sensory examinations of empty nose syndrome patients.

Authors:  Chengyu Li; Alexander A Farag; James Leach; Bhakthi Deshpande; Adam Jacobowitz; Kanghyun Kim; Bradley A Otto; Kai Zhao
Journal:  Laryngoscope       Date:  2017-03-09       Impact factor: 3.325

8.  Investigation of the abnormal nasal aerodynamics and trigeminal functions among empty nose syndrome patients.

Authors:  Chengyu Li; Alexander A Farag; Guillermo Maza; Sam McGhee; Michael A Ciccone; Bhakthi Deshpande; Edmund A Pribitkin; Bradley A Otto; Kai Zhao
Journal:  Int Forum Allergy Rhinol       Date:  2017-11-22       Impact factor: 3.858

9.  International Consensus Statement on Allergy and Rhinology: Allergic Rhinitis.

Authors:  Sarah K Wise; Sandra Y Lin; Elina Toskala; Richard R Orlandi; Cezmi A Akdis; Jeremiah A Alt; Antoine Azar; Fuad M Baroody; Claus Bachert; G Walter Canonica; Thomas Chacko; Cemal Cingi; Giorgio Ciprandi; Jacquelynne Corey; Linda S Cox; Peter Socrates Creticos; Adnan Custovic; Cecelia Damask; Adam DeConde; John M DelGaudio; Charles S Ebert; Jean Anderson Eloy; Carrie E Flanagan; Wytske J Fokkens; Christine Franzese; Jan Gosepath; Ashleigh Halderman; Robert G Hamilton; Hans Jürgen Hoffman; Jens M Hohlfeld; Steven M Houser; Peter H Hwang; Cristoforo Incorvaia; Deborah Jarvis; Ayesha N Khalid; Maritta Kilpeläinen; Todd T Kingdom; Helene Krouse; Desiree Larenas-Linnemann; Adrienne M Laury; Stella E Lee; Joshua M Levy; Amber U Luong; Bradley F Marple; Edward D McCoul; K Christopher McMains; Erik Melén; James W Mims; Gianna Moscato; Joaquim Mullol; Harold S Nelson; Monica Patadia; Ruby Pawankar; Oliver Pfaar; Michael P Platt; William Reisacher; Carmen Rondón; Luke Rudmik; Matthew Ryan; Joaquin Sastre; Rodney J Schlosser; Russell A Settipane; Hemant P Sharma; Aziz Sheikh; Timothy L Smith; Pongsakorn Tantilipikorn; Jody R Tversky; Maria C Veling; De Yun Wang; Marit Westman; Magnus Wickman; Mark Zacharek
Journal:  Int Forum Allergy Rhinol       Date:  2018-02       Impact factor: 3.858

10.  Numerical simulation of nasal airflows and thermal air modification in newborns.

Authors:  Eric Moreddu; Lionel Meister; Alexia Dabadie; Jean-Michel Triglia; Marc Médale; Richard Nicollas
Journal:  Med Biol Eng Comput       Date:  2019-12-17       Impact factor: 2.602

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