Computational fluid dynamics endpoints to characterize obstructive sleep apnea syndrome in children

David M. Wootton, Haiyan Luo, Steven C. Persak, Sanghun Sin, Joseph M. McDonough, Carmen R. Isasi, Raanan Arens

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

Computational fluid dynamics (CFD) analysis may quantify the severity of anatomical airway restriction in obstructive sleep apnea syndrome (OSAS) better than anatomical measurements alone. However, optimal CFD model endpoints to characterize or assess OSAS have not been determined. To model upper airway fluid dynamics using CFD and investigate the strength of correlation between various CFD endpoints, anatomical endpoints, and OSAS severity, in obese children with OSAS and controls. CFD models derived from magnetic resonance images were solved at subject-specific peak tidal inspiratory flow; pressure at the choanae was set by nasal resistance. Model endpoints included airway wall minimum pressure (Pmin), flow resistance in the pharynx (R pharynx), and pressure drop from choanae to a minimum cross section where tonsils and adenoids constrict the pharynx (dPTAmax). Significance of endpoints was analyzed using paired comparisons (t-test or Wilcoxon signed rank test) and Spearman correlation. Fifteen subject pairs were analyzed. Rpharynx and dPTAmax were higher in OSAS than control and most significantly correlated to obstructive apnea-hypopnea index (oAHI), r = 0.48 and r = 0.49, respectively (P < 0.01). Airway minimum cross-sectional correlation to oAHI was weaker (r = -0.39); Pmin was not significantly correlated. CFD model endpoints based on pressure drops in the pharynx were more closely associated with the presence and severity of OSAS than pressures including nasal resistance, or anatomical endpoints. This study supports the usefulness of CFD to characterize anatomical restriction of the pharynx and as an additional tool to evaluate subjects with OSAS.

Original languageEnglish (US)
Pages (from-to)104-112
Number of pages9
JournalJournal of Applied Physiology
Volume116
Issue number1
DOIs
StatePublished - Jan 1 2014

Fingerprint

Obstructive Sleep Apnea
Hydrodynamics
Pharynx
Pressure
Nasopharynx
Apnea
Nose
Adenoids
Matched-Pair Analysis
Palatine Tonsil
Nonparametric Statistics
Magnetic Resonance Spectroscopy

Keywords

  • Airway
  • Human
  • Nasal resistance
  • Pharynx
  • Pressure

ASJC Scopus subject areas

  • Physiology
  • Physiology (medical)

Cite this

Computational fluid dynamics endpoints to characterize obstructive sleep apnea syndrome in children. / Wootton, David M.; Luo, Haiyan; Persak, Steven C.; Sin, Sanghun; McDonough, Joseph M.; Isasi, Carmen R.; Arens, Raanan.

In: Journal of Applied Physiology, Vol. 116, No. 1, 01.01.2014, p. 104-112.

Research output: Contribution to journalArticle

Wootton, David M. ; Luo, Haiyan ; Persak, Steven C. ; Sin, Sanghun ; McDonough, Joseph M. ; Isasi, Carmen R. ; Arens, Raanan. / Computational fluid dynamics endpoints to characterize obstructive sleep apnea syndrome in children. In: Journal of Applied Physiology. 2014 ; Vol. 116, No. 1. pp. 104-112.
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