Robinson Risa J, Doolittle Richard L, Diflorio John N
Department of Mechanical Engineering, Kate Gleason College of Engineering, Rochester Institute of Technology, 76 Lomb Memorial Drive, Rochester, NY 14623, USA.
J Aerosol Med. 2007 Summer;20(2):141-62. doi: 10.1089/jam.2007.0582.
Asthma is a complex disease that alters both breathing patterns and airway morphology. Lack of experimental data or model simulations utilizing realistic in vivo breathing conditions severely limit the ability to assess the relative risk of inhaled pathogens for asthmatics. In this study, a one-dimensional Eulerian modeling approach was used to simulate particle deposition in both asthmatic and healthy subjects. The model was based on the hypothesis that the component reactions of bronchial smooth muscle spasms, submucosal connective tissue swelling, and exudation into the airway lumen manifest themselves as altered lung function, which can be quantified by the parameters measured in subject pulmonary function tests. The asthmatic airway morphology was simulated by altering two parameters, functional residual capacity (FRC) and airway resistance (Raw), which are increased in asthmatic subjects. The amounts in excess of the healthy case were uniquely distributed in the airway generations based on knowledge of the changes in the anatomy and physiology of the airway walls during an asthmatic episode. Specifically, increased Raw was distributed preferentially in the bronchioles and excess FRC was distributed in the pulmonary region. Lung volumes, Raw, and breathing conditions of healthy and asthmatic subjects were compiled from 18 clinical studies. Significant differences were found between healthy and asthmatic Raw, FRC, and tidal volume (TV). In vivo flow fields were simulated using population average TV, breathing frequency, and cycle time fractions. Results showed that using asthmatic conditions in the simulation increased particle deposition over the healthy case by an average of 54% for the range of particles tested. This deposition increase was large compared to the difference due to intersubject variability of the healthy case. Comparisons to experimental data were limited by the number of unreported parameters. This study showed that using asthmatic breathing conditions resulted in significantly different particle deposition compared to using the controlled breathing patterns reported in experimental studies. Therefore, caution should be taken when using experimental data to assess particle deposition in vivo if realistic subject breathing is not used.
哮喘是一种复杂的疾病,它会改变呼吸模式和气道形态。由于缺乏利用真实体内呼吸条件的实验数据或模型模拟,严重限制了评估哮喘患者吸入病原体相对风险的能力。在本研究中,采用一维欧拉建模方法模拟哮喘患者和健康受试者体内的颗粒沉积。该模型基于这样的假设:支气管平滑肌痉挛、粘膜下结缔组织肿胀以及气道腔内渗出的组成反应表现为肺功能改变,这可以通过受试者肺功能测试中测量的参数进行量化。通过改变两个参数,即功能残气量(FRC)和气道阻力(Raw)来模拟哮喘气道形态,这两个参数在哮喘患者中会增加。基于哮喘发作期间气道壁解剖和生理变化的知识,将超过健康病例的量独特地分布在气道各级。具体而言,增加的Raw优先分布在细支气管中,而过量的FRC分布在肺部区域。从18项临床研究中收集了健康和哮喘受试者的肺容积、Raw和呼吸条件。发现健康和哮喘患者的Raw、FRC和潮气量(TV)之间存在显著差异。使用群体平均TV、呼吸频率和周期时间分数模拟体内流场。结果表明,在模拟中使用哮喘条件时,在所测试的颗粒范围内,颗粒沉积比健康病例平均增加了54%。与健康病例受试者间变异性导致的差异相比,这种沉积增加幅度很大。与实验数据的比较受到未报告参数数量的限制。本研究表明,与使用实验研究中报告的受控呼吸模式相比,使用哮喘呼吸条件会导致颗粒沉积显著不同。因此,如果不使用真实的受试者呼吸情况,在使用实验数据评估体内颗粒沉积时应谨慎。