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Characterizing human nasal airflow physiologic variables by nasal index.

Publication ,  Journal Article
Patki, A; Frank-Ito, DO
Published in: Respir Physiol Neurobiol
October 2016

Although variations in nasal index (NI) have been reported to represent adaptation to climatic conditions, assessments of NI with airflow variables have not been rigorously investigated. This study uses computational fluid dynamics modeling to investigate the relationship between NI and airflow variables in 16 subjects with normal nasal anatomy. Airflow simulations were conducted under constant inspiratory pressure. Nasal resistance (NR) against NI showed weak association from nostrils to anterior inferior turbinate (R(2)=0.26) and nostril to choanae (R(2)=0.12). NI accounted for 38% and 41% of the respective variation in wall shear stress (WSS) and heat flux (HF) at the nasal vestibule, and 52% and 49% of variability in WSS and HF across the entire nose. HF and WSS had strong correlation with NI<80, and weakly correlated with NI>80; these differences in HF and WSS for NI<80 and NI>80 were not statistically significant. Results suggest strong relationship between NI and both WSS and HF but not NR, particularly in subjects with NI<80.

Duke Scholars

Published In

Respir Physiol Neurobiol

DOI

EISSN

1878-1519

Publication Date

October 2016

Volume

232

Start / End Page

66 / 74

Location

Netherlands

Related Subject Headings

  • Tomography, X-Ray Computed
  • Respiration
  • Physiology
  • Nose
  • Nasal Cavity
  • Models, Biological
  • Male
  • Hydrodynamics
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Patki, A., & Frank-Ito, D. O. (2016). Characterizing human nasal airflow physiologic variables by nasal index. Respir Physiol Neurobiol, 232, 66–74. https://doi.org/10.1016/j.resp.2016.07.004
Patki, Aniruddha, and Dennis O. Frank-Ito. “Characterizing human nasal airflow physiologic variables by nasal index.Respir Physiol Neurobiol 232 (October 2016): 66–74. https://doi.org/10.1016/j.resp.2016.07.004.
Patki A, Frank-Ito DO. Characterizing human nasal airflow physiologic variables by nasal index. Respir Physiol Neurobiol. 2016 Oct;232:66–74.
Patki, Aniruddha, and Dennis O. Frank-Ito. “Characterizing human nasal airflow physiologic variables by nasal index.Respir Physiol Neurobiol, vol. 232, Oct. 2016, pp. 66–74. Pubmed, doi:10.1016/j.resp.2016.07.004.
Patki A, Frank-Ito DO. Characterizing human nasal airflow physiologic variables by nasal index. Respir Physiol Neurobiol. 2016 Oct;232:66–74.
Journal cover image

Published In

Respir Physiol Neurobiol

DOI

EISSN

1878-1519

Publication Date

October 2016

Volume

232

Start / End Page

66 / 74

Location

Netherlands

Related Subject Headings

  • Tomography, X-Ray Computed
  • Respiration
  • Physiology
  • Nose
  • Nasal Cavity
  • Models, Biological
  • Male
  • Hydrodynamics
  • Humans
  • Female