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MULTIPLE FLOW RATE MODELLING OF NITRIC OXSDE iN CQPD - METHODOLOGICAL CONCERNS

机译:CQPD中一氧化氮的多重流速建模-方法论上的考虑

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摘要

Multiple flow rates Fe_(NO) data two-compartment mathematical modelling can estimate NO airway wall concentration (Caw_(NO)). airway wall diffusing capacity (Daw_(NO)), alveolar concentration (Calv_(NO)) and maximal NO flux (Jaw_(NO)). To compare modelling based on linear, non linear and mixed linear and non linear analyses in COPD. Fe_(NO) was measured using the Niox analyser (Aerocrine) at flow rates: 10. 30, 50,100 and 200ml,s in 50 COPD patients and the data applied to 4 different methods. All methods showed that current smoking reduced Caw_(NO). Jaw_(NO) data differed between methods (Table 1). All the methods showed that current smoking did not affect Calv_(NO) or Daw_(NO)- Comparison of the methods showed that CalvN0 and Daw_(NO) data were significantly different between all methods. Jaw_(NO) was different for most between method comparisons, while there was agreement between all the methods for Caw_(NO). Smoking in COPD reduces Caw_(NO). but not CalvN0 and Daw_(NO). Jaw_(NO), Calv_(NO) and Daw_(NO) data are model dependent parameters. Caw_(NO) findings were model independent, and hence the most robust modelled parameter.
机译:多流速Fe_(NO)数据两室数学建模可以估算NO气道壁浓度(Caw_(NO))。气道壁扩散能力(Daw_(NO)),肺泡浓度(Calv_(NO))和最大NO通量(Jaw_(NO))。比较COPD中基于线性,非线性以及混合线性和非线性分析的建模。使用Niox分析仪(Aerocrine)在50例COPD患者中以10:30、50,100和200ml.s的流速测量Fe_(NO),并将数据应用于4种不同方法。所有方法均显示当前吸烟降低了Caw_(NO)。方法之间的Jaw_(NO)数据有所不同(表1)。所有方法均显示当前吸烟不会影响Calv_(NO)或Daw_(NO)-方法的比较表明,所有方法之间的CalvN0和Daw_(NO)数据均存在显着差异。在方法比较之间,大多数情况下Jaw_(NO)不同,而在Caw_(NO)的所有方法之间都存在一致性。在COPD中吸烟可降低Caw_(NO)。但不是CalvN0和Daw_(NO)。 Jaw_(NO),Calv_(NO)和Daw_(NO)数据是模型相关的参数。 Caw_(NO)的发现与模型无关,因此是最可靠的建模参数。

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