Literature DB >> 27918749

Correlation of Nasal Mucosal Temperature With Subjective Nasal Patency in Healthy Individuals.

Ryan S Bailey1, Kevin P Casey2, Sachin S Pawar2, Guilherme J M Garcia1.   

Abstract

IMPORTANCE: Historically, otolaryngologists have focused on nasal resistance to airflow and minimum airspace cross-sectional area as objective measures of nasal obstruction using methods such as rhinomanometry and acoustic rhinometry. However, subjective sensation of nasal patency may be more associated with activation of cold receptors by inspired air than with respiratory effort.
OBJECTIVE: To investigate whether subjective nasal patency correlates with nasal mucosal temperature in healthy individuals. DESIGN, SETTING, AND PARTICIPANTS: Healthy adult volunteers first completed the Nasal Obstruction Symptom Evaluation (NOSE) and a unilateral visual analog scale to quantify subjective nasal patency. A miniaturized thermocouple sensor was then used to record nasal mucosal temperature bilaterally in 2 locations along the nasal septum: at the vestibule and across from the inferior turbinate head. MAIN OUTCOMES AND MEASURES: Nasal mucosal temperature and subjective patency scores in healthy individuals.
RESULTS: The 22 healthy adult volunteers (12 [55%] male; mean [SD] age, 28.3 [7.0] years) had a mean (SD) NOSE score of 5.9 (8.4) (range, 0-30) and unilateral VAS score of 1.2 (1.4) (range, 0-5). The range of temperature oscillations during the breathing cycle, defined as the difference between end-expiratory and end-inspiratory temperatures, was greater during deep breaths (mean [SD] change in temperature, 6.2°C [2.6°C]) than during resting breathing (mean [SD] change in temperature, 4.2°C [2.3°C]) in both locations (P < .001). Mucosal temperature measured at the right vestibule had a statistically significant correlation with both right-side visual analog scale score (Pearson r = -0.55; 95% CI, -0.79 to -0.17; P = .008) and NOSE score (Pearson r = -0.47; 95% CI, -0.74 to -0.06; P = .03). No other statistically significant correlations were found between mucosal temperature and subjective nasal patency scores. Nasal mucosal temperature was lower (mean of 1.5°C lower) in the first cavity to be measured, which was the right cavity in all participants. CONCLUSIONS AND RELEVANCE: The greater mucosal temperature oscillations during deep breathing are consistent with the common experience that airflow sensation is enhanced during deep breaths, thus supporting the hypothesis that mucosal cooling plays a central role in nasal airflow sensation. A possible correlation was found between subjective nasal patency scores and nasal mucosal temperature, but our results were inconsistent. The higher temperature in the left cavity suggests that the sensor irritated the nasal mucosa, affecting the correlation between patency scores and mucosal temperature. Future studies should consider noncontact temperature sensors to prevent mucosa irritation. LEVEL OF EVIDENCE: NA.

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Year:  2017        PMID: 27918749      PMCID: PMC5247324          DOI: 10.1001/jamafacial.2016.1445

Source DB:  PubMed          Journal:  JAMA Facial Plast Surg        ISSN: 2168-6076            Impact factor:   4.611


  39 in total

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2.  Development and validation of the Nasal Obstruction Symptom Evaluation (NOSE) scale.

Authors:  Michael G Stewart; David L Witsell; Timothy L Smith; Edward M Weaver; Bevan Yueh; Maureen T Hannley
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Authors:  R F André; H D Vuyk; A Ahmed; K Graamans; G J Nolst Trenité
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5.  Influence of awareness of the recording of breathing on respiratory pattern in healthy humans.

Authors:  J N Han; K Stegen; M Cauberghs; K P Van de Woestijne
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7.  The relationship between nasal resistance to airflow and the airspace minimal cross-sectional area.

Authors:  Guilherme J M Garcia; Benjamin M Hariri; Ruchin G Patel; John S Rhee
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2.  Correlation between Subjective Nasal Patency and Intranasal Airflow Distribution.

Authors:  Kevin P Casey; Azadeh A T Borojeni; Lisa J Koenig; John S Rhee; Guilherme J M Garcia
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4.  Virtual Surgery for the Nasal Airway: A Preliminary Report on Decision Support and Technology Acceptance.

Authors:  Derek L Vanhille; Guilherme J M Garcia; Onur Asan; Azadeh A T Borojeni; Dennis O Frank-Ito; Julia S Kimbell; Sachin S Pawar; John S Rhee
Journal:  JAMA Facial Plast Surg       Date:  2018-01-01       Impact factor: 4.611

5.  Possible effects of air temperature on COVID-19 disease severity and transmission rates.

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7.  Comparison of ciliary beat frequencies at different temperatures in young adults.

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8.  The Use of Infrared Thermal Imaging to Determine Functional Nasal Adequacy: A Pilot Study.

Authors:  Sydney Jiang; Jason Chan; Howard D Stupak
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  8 in total

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