Department of Biomedical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
Department of Pediatrics, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
PLoS One. 2018 Nov 20;13(11):e0207711. doi: 10.1371/journal.pone.0207711. eCollection 2018.
Despite the prevalence of inhalation therapy in the treatment of pediatric respiratory disorders, most prominently asthma, the fraction of inhaled drugs reaching the lungs for maximal efficacy remains adversely low. By and large drug delivery devices and their inhalation guidelines are typically derived from adult studies with child dosages adapted according to body weight. While it has long been recognized that physiological (e.g. airway sizes, breathing maneuvers) and physical transport (e.g. aerosol dynamics) characteristics are critical in governing deposition outcomes, such knowledge has yet to be extensively adapted to younger populations. Motivated by such shortcomings, the present work leverages in a first step in silico computational fluid dynamics (CFD) to explore opportunities for augmenting aerosol deposition in children based on respiratory physiological and physical transport determinants. Using an idealized, anatomically-faithful upper airway geometry, airflow and aerosol motion are simulated as a function of age, spanning a five year old to an adult. Breathing conditions mimic realistic age-specific inhalation maneuvers representative of Dry Powder Inhalers (DPI) and nebulizer inhalation. Our findings point to the existence of a single dimensionless curve governing deposition in the conductive airways via the dimensionless Stokes number (Stk). Most significantly, we uncover the existence of a distinct deposition peak irrespective of age. For the DPI simulations, this peak (∼ 80%) occurs at Stk ≈ 0.06 whereas for nebulizer simulations, the corresponding peak (∼ 45%) occurs in the range of Stk between 0.03-0.04. Such dimensionless findings hence translate to an optimal window of micron-sized aerosols that evolves with age and varies with inhalation device. The existence of such deposition optima advocates revisiting design guidelines for optimizing deposition outcomes in pediatric inhalation therapy.
尽管吸入疗法在治疗儿科呼吸系统疾病(尤其是哮喘)中较为普遍,但为达到最大疗效而到达肺部的吸入药物比例仍然较低。通常,药物输送装置及其吸入指南主要来自成人研究,儿童剂量根据体重进行调整。虽然人们早就认识到生理(例如气道大小、呼吸动作)和物理输送(例如气溶胶动力学)特征对于控制沉积结果至关重要,但这些知识尚未广泛应用于年轻人群。鉴于这些缺点,本工作首先利用计算机流体动力学(CFD)进行了模拟,以探索基于呼吸生理和物理输送决定因素来增加儿童气溶胶沉积的机会。使用理想化的、解剖学上真实的上呼吸道几何形状,模拟气流和气溶胶运动随年龄的变化,年龄范围从 5 岁到成年。呼吸条件模拟了代表干粉吸入器(DPI)和雾化器吸入的特定年龄的真实吸入动作。我们的研究结果表明,存在一个单一的无量纲曲线通过无量纲斯托克斯数(Stk)来控制传导气道中的沉积。最重要的是,我们发现无论年龄大小,都存在一个明显的沉积峰。对于 DPI 模拟,该峰(约 80%)出现在 Stk≈0.06,而对于雾化器模拟,相应的峰(约 45%)出现在 Stk 为 0.03-0.04 之间。因此,这些无量纲的发现转化为一个与年龄相关且随吸入装置变化的优化微米级气溶胶的最佳窗口。这种沉积最优性的存在提倡重新审视儿科吸入疗法中优化沉积效果的设计指南。