Roy K, Borrill Z L, Starkey C, Hazel A L, Morris J, Vestbo J, Singh D
Medicines Evaluation Unit, North West Lung Centre, Wythenshawe Hospital, Manchester, M23 9QZ, UK.
Eur Respir J. 2007 Apr;29(4):651-9. doi: 10.1183/09031936.00149706. Epub 2007 Feb 14.
Multiple flow rates of exhaled nitric oxide (eNO) fraction (F(e,NO)) data can be modelled to estimate airway wall concentration of nitric oxide (C(aw,NO)), diffusing capacity of nitric oxide (D(aw,NO)), alveolar nitric oxide concentration (C(alv,NO)) and total maximal flux of nitric oxide in the airway compartment (J'(aw,NO)). F(e,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 C(aw,NO) in COPD patients, with some methods showing that smoking reduced J'(aw,NO). Smoking did not affect C(alv,NO) or D(aw,NO). The methods gave similar results for C(aw,NO) but there was variability between methods for J'(aw,NO), C(alv,NO) and D(aw,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 C(aw,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.
可以对呼出一氧化氮(eNO)分数(F(e,NO))的多个流速数据进行建模,以估计气道壁一氧化氮浓度(C(aw,NO))、一氧化氮扩散容量(D(aw,NO))、肺泡一氧化氮浓度(C(alv,NO))以及气道腔室中一氧化氮的总最大通量(J'(aw,NO))。比较了使用五种不同方法对50例慢性阻塞性肺疾病(COPD)患者和35名健康对照者(吸烟者和非吸烟者)在10、30、50、100和200 mL·s(-1)时的F(e,NO)进行建模的情况,并研究了流速数量的影响。所有方法均显示,当前吸烟会降低COPD患者的C(aw,NO),一些方法表明吸烟会降低J'(aw,NO)。吸烟不影响C(alv,NO)或D(aw,NO)。这些方法对C(aw,NO)得出了相似的结果,但对于J'(aw,NO)、C(alv,NO)和D(aw,NO),不同方法之间存在差异。与混合方法(3.31和3.62)相比,非线性方法在建模数据与实际数据之间通过最小二乘法拟合的中位数误差显著更低(1.96)。使用五种和四种流速的非线性方法计算出的参数存在显著差异。C(aw,NO)的比值(95%置信区间)为2.02(1.45 - 2.83)。一氧化氮模型给出了不同的结果,尽管一氧化氮气道传导率相对独立于模型。非线性建模的误差最小,表明它是最佳方法。流速数量应标准化。