使用哮喘肺功能测试数据预测肺沉积。

Risa J Robinson, Richard L Doolittle, John N Diflorio
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引用次数: 10

摘要

哮喘是一种复杂的疾病,会改变呼吸模式和气道形态。缺乏实验数据或利用真实的体内呼吸条件的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。在这项研究中,采用一维欧拉模型方法来模拟哮喘和健康受试者的颗粒沉积。该模型基于支气管平滑肌痉挛、粘膜下结缔组织肿胀和渗出物进入气道管腔的成分反应表现为肺功能的改变,可以通过受试者肺功能测试中测量的参数来量化。通过改变哮喘患者气道功能残余容量(FRC)和气道阻力(Raw)两个参数来模拟哮喘气道形态。根据哮喘发作期间气道壁解剖和生理变化的知识,健康病例中过量的量在气道世代中具有独特的分布。具体而言,增加的Raw优先分布在细支气管,而过量的FRC分布在肺区。从18项临床研究中收集健康和哮喘受试者的肺容量、原始数据和呼吸条件。健康人与哮喘患者之间的Raw、FRC和潮气量(TV)存在显著差异。体内流场模拟使用人口平均电视,呼吸频率和循环时间分数。结果表明,在模拟中使用哮喘条件,在测试的颗粒范围内,比健康情况平均增加了54%的颗粒沉积。与健康病例的受试者间差异相比,这种沉积增加很大。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,与实验研究中报道的控制呼吸模式相比,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,在使用实验数据评估体内颗粒沉积时应谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of asthmatic pulmonary function test data to predict lung deposition.

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.

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