Extended NO analysis applied to @entity1 with XXXX , @entity56 and @entity2023 .

@entity1 @entity8639 @entity2023 @entity565 @entity2490 @entity56 @entity842 @entity1576 @entity1030
The recommended method to measure exhaled @entity842 (NO) cannot reveal the source of NO production. We applied a model based on the classical Fick's first law of diffusion to partition NO in the lungs. The aim was to develop a simple and robust solution algorithm with a data quality control feature, and apply it to @entity1 with known alterations in exhaled NO. Subjects with @entity2023 , @entity56 , @entity1030 and controls were investigated. NO was measured at three expiratory flow rates. An iteration method was developed to partition NO. The airway tissue content of NO was increased in @entity565 , 144 +/- 80 ppb (P = 0.04) and decreased in smokers, 56 +/- 36 ppb (P = 0.02). There was no difference between subjects with @entity2490 , 98 +/- 40 ppb and controls, 98 +/- 44 ppb. The airway transfer rate was increased in @entity56 and @entity2023 , 12 +/- 4 vs. 12 +/- 5 ml @entity8639 ), compared to controls, 8 +/- 2 ml @entity8639 (P < 0.001). The alveolar levels were no different from controls, 2 +/- 1 ppb. In @entity1030 the alveolar levels were increased, 4 +/- 2 ppb (P < 0.001). Extended NO analysis reveals from where in the respiratory system NO is generated. Hence, this new test can be added to the tools the physician has for the diagnosis and treatment of @entity1 with @entity1576 .
