1 Department of Respiratory Medicine, Medical School, University of Thessaly , Larissa, Greece .
2 R&D, ELPEN Pharm. Co. Inc. , Athens, Greece .
J Aerosol Med Pulm Drug Deliv. 2017 Dec;30(6):435-443. doi: 10.1089/jamp.2016.1363. Epub 2017 Jul 6.
Accurate prediction of the regional deposition of inhaled dry powders as a function of powder properties and breathing pattern is a long-term research goal for pulmonary drug delivery. In the present work, deposition along the respiratory tract of dry powders of Fluticasone propionate and Salmeterol is predicted.
A one-dimensional particle transport and deposition model is used, whose novelty is in the treatment of the alveolar space of each airway generation as an efficient mixing chamber. This assumption has been supported by simulations and measurements during the last 20 years. The model is applied to two popular pulmonary tree geometries, to investigate the effect of particle size on localized deposition and to estimate the uncertainty due to variations in airway size.
Application of the model for the specific particle size distribution measured by a cascade impactor in the marketed product ELPENhaler, predicts the whole lung deposition (WLD), as well as the split between pulmonary (PU) and tracheobronchial (TB) deposition. Introduction in the model of modified particle size distributions with increased fractions of fine particles, indicates that the fine-particle dose is a satisfactory predictor of WLD but not of the PU/TB ratio.
准确预测吸入干粉作为粉末特性和呼吸模式的函数的区域性沉积是肺部药物输送的长期研究目标。在目前的工作中，预测了丙酸氟替卡松和沙美特罗干粉在呼吸道中的沉积。
使用一维颗粒输运和沉积模型，其新颖之处在于将每个气道代的肺泡空间视为有效的混合室。这一假设在过去 20 年的模拟和测量中得到了支持。该模型应用于两种流行的肺树几何形状，以研究粒径对局部沉积的影响，并估计由于气道尺寸变化引起的不确定性。
应用于市场产品 ELPENhaler 中级联撞击器测量的特定粒度分布的模型，预测了全肺沉积（WLD），以及肺部（PU）和气管支气管（TB）沉积之间的分割。在模型中引入具有增加的细颗粒分数的改性颗粒粒度分布表明，细颗粒剂量是 WLD 的一个满意的预测因子，但不是 PU/TB 比的预测因子。
