首页> 美国卫生研究院文献>Journal of Aerosol Medicine and Pulmonary Drug Delivery >In Vitro Determination of Respimat® Dose Delivery in Children: An Evaluation Based on Inhalation Flow Profiles and Mouth–Throat Models
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In Vitro Determination of Respimat® Dose Delivery in Children: An Evaluation Based on Inhalation Flow Profiles and Mouth–Throat Models

机译:体外确定儿童的Respimat®剂量输送:基于吸入流量曲线和口咽模型的评估

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摘要

>Background: Aerosol therapy in young children can be difficult. A realistic model based on handling studies and in vitro investigations can complement clinical deposition studies and be used to enable dose-to-the-lung (DTL) predictions.>Methods: Predictions on dose delivery to the lung were based on (1) representative inhalation flow profiles from children enrolled in a Respimat® handling study, (2) in vitro measurement of the fine-particle DTL using mouth–throat models derived from nuclear magnetic resonance/computed tomography (NMR/CT) scans of children, and (3) a mathematical model to predict the tiotropium DTL. Accuracy of the prediction was confirmed using pharmacokinetic (PK) data from children with cystic fibrosis enrolled in a phase 3 clinical trial of tiotropium Respimat with valved holding chamber (VHC).>Results: Representative inhalation flow profiles for each age group were obtained from 56 children who successfully inhaled a volume >0.15 L from the Respimat with VHC. Average dimensions of the mouth–throat region for 38 children aged 1–<2 years, 2–<3 years, 3–<4 years, and 4–<5 years were determined from NMR/CT scans. The DTL from the Respimat plus VHC were determined by in vitro measurement and were 5.1±1.1%, 15.6%±1.4%, 17.9%±1.5%, and 37.1%±1.8% of the delivered dose for child models 0–<2 years, 2–<3 years, 3–<4 years, and 4–<5 years, respectively. This provides a possible explanation for the age dependence of clinical PK data obtained from the phase 3 tiotropium trial. Calculated in vitro DTL per body mass (μg/kg [±SD]) were 0.031±0.014, 0.066±0.031, 0.058±0.024, and 0.059±0.029, respectively, compared to 0.046 in adults. Therefore, efficacy of the treatment was not negatively impacted in spite of the seemingly low percentages of the DTL.>Conclusions: We conclude that the combination of real-life inhalation profiles with respective mouth–throat models and in vitro determination of delivered DTL is a good predictor of the drug delivery to children via the Respimat with VHC. The data provided can be used to support data from appropriate clinical trials.
机译:>背景:对年幼的儿童进行气雾剂治疗可能很困难。一个基于处理研究和体外研究的现实模型可以补充临床沉积研究,并可以用来进行肺部剂量(DTL)预测。>方法:基于(1)参加Respimat ®处理研究的儿童的代表性吸入血流曲线,(2)使用核磁共振/计算得出的口咽模型体外测量细颗粒DTL儿童的断层扫描(NMR / CT)扫描,以及(3)预测噻托溴铵DTL的数学模型。这项预测的准确性已通过参加噻托溴铵Respimat带有瓣膜固定腔(VHC)的3期临床试验的囊性纤维化患儿的药代动力学(PK)数据进行了确认。>结果:每种药物的代表性吸入流量曲线年龄组是从56名儿童中获得的,这些儿童成功地从Respimat吸入VHC的量大于0.15 µL。通过NMR / CT扫描确定了38名1至<2岁,2至<3岁,3至4岁和4至5岁儿童的口咽区域平均尺寸。 Respimat加上VHC的DTL是通过体外测量确定的,0至<2岁儿童模型的DTL分别为分娩剂量的5.1±1.1%,15.6%±1.4%,17.9%±1.5%和37.1%±1.8% ,2– <3年,3– <4年和4– <5年。这为从3期噻托溴铵试验获得的临床PK数据的年龄依赖性提供了可能的解释。与成人的0.046相比,每体重的体外DTL计算值(μg/ kg [±SD])分别为0.031±0.014、0.066±0.031、0.058±0.024和0.059±0.029。因此,尽管DTL的百分比似乎很低,但治疗效果并未受到负面影响。>结论:我们得出的结论是,真实的吸入曲线与各自的喉咙模型和体外组合确定递送的DTL是通过带有VHC的Respimat将药物递送给儿童的良好预测。提供的数据可用于支持来自适当临床试验的数据。

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