Use of different exhaled nitric oxide multiple flow rate models in COPD

K. Roy, Z. L. Borrill, C. Starkey, A. L. Hazel, J. Morris, J. Vestbo, D. Singh

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Multiple flow rates of exhaled nitric oxide (eNO) fraction (Fe,NO) data can be modelled to estimate airway wall concentration of nitric oxide (Caw,NO), diffusing capacity of nitric oxide (Daw,NO), alveolar nitric oxide concentration (Calv,NO) and total maximal flux of nitric oxide in the airway compartment (J'aw,NO). Fe,NO at 10, 30, 50, 100 and 200 mL.s-1 from 50 chronic obstructive pulmonary disease (COPD) patients and 35 healthy controls (smokers and nonsmokers) modelled using five different methods was compared and the effect of the number of flow rates was investigated. All methods showed that current smoking reduced Caw,NO in COPD patients, with some methods showing that smoking reduced J'aw,NO. Smoking did not affect Calv,NO or Daw,NO. The methods gave similar results for Caw,NO but there was variability between methods for J'aw,NO, Calv,NO and Daw,NO. The median error by least squares fitting between modelled and actual data was significantly lower for the nonlinear method (1.96) compared with the mixed methods (3.31 and 3.62). Parameters calculated using the nonlinear method using five and four flow rates were significantly different. The ratio (95% confidence interval) of Caw,NO was 2.02 (1.45-2.83). Nitric oxide models give different results, although airway conductance of nitric oxide is relatively model independent. Nonlinear modelling has the least error, suggesting it is the best method. The number of flow rates should be standardised. Copyright © ERS Journals Ltd 2007.
    Original languageEnglish
    Pages (from-to)651-659
    Number of pages8
    JournalEuropean Respiratory Journal
    Volume29
    Issue number4
    DOIs
    Publication statusPublished - Apr 2007

    Keywords

    • Chronic obstructive pulmonary disease
    • Nitric oxide
    • Two-compartment model

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