Predicting Inhaled Drug Dose Generated by Mesh Nebulizers.

IF 2 4区 医学 Q3 RESPIRATORY SYSTEM
Yu-Chung Hsu, Hsin-Hsien Li, Li-Chung Chiu, Wen-Chieh Chiang, Tien-Pei Fang, Hui-Ling Lin
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引用次数: 0

Abstract

Background: The lung dose of nebulized drugs for spontaneous breathing is influenced by breathing patterns and nebulizer performance. This study aimed to develop a system for measuring breath patterns and a formula for estimating inhaled drugs, and then to validate the hypothesized prediction formula. Methods: An in vitro model was first used to determine correlations among the delivered dose, breath patterns, and doses deposited on the accessories and reservoirs testing with a breathing simulator to generate 12 adult breathing patterns (n = 5). A pressure sensor was developed to measure breathing parameters and used along with a prediction formula that accounted for the initial charge dose, respiratory pattern, and dose on the accessory and reservoir of a nebulizer. Three brands of nebulizers were tested by placing salbutamol (5.0 mg/2.5 mL) in the drug holding chamber. Ten healthy individuals participated in the ex vivo study to validate the prediction formula. The agreement between the predicted and inhaled doses was analyzed using the Bland-Altman plot. Results: The in vitro model showed that the inspiratory time to total respiratory cycle time (Ti/Ttotal; %) was significantly directly correlated with the delivered dose among the respiratory factors, followed by inspiratory flow, respiratory rate, and tidal volume. The ex vivo model showed that Ti/Ttotal was significantly directly correlated with the delivered dose among the respiratory factors, in addition to the nebulization time and accessory dose. The Bland-Altman plots for the ex vivo model showed similar results between the two methods. Large differences in inhaled dose measured at the mouth were observed among the subjects, ranging from 12.68% to 21.68%; however, the difference between the predicted dose and inhaled dose was lower, at 3.98%-5.02%. Conclusions: The inhaled drug dose could be predicted with the hypothesized estimation formula, which was validated by the agreement between the inhaled and predicted doses of breathing patterns of healthy individuals.

网状雾化器吸入药物剂量预测。
背景:自动呼吸雾化药物的肺剂量受呼吸方式和雾化器性能的影响。本研究旨在开发一套测量呼吸模式的系统和估算吸入药物的公式,然后验证假设的预测公式。方法:首先采用体外模型确定给药剂量、呼吸模式和沉积在附件和储液器上的剂量之间的相关性,用呼吸模拟器测试产生12种成人呼吸模式(n = 5)。开发了一种用于测量呼吸参数的压力传感器,并与用于雾化器附件和储罐的初始电荷剂量、呼吸模式和剂量的预测公式一起使用。将沙丁胺醇(5.0 mg/2.5 mL)置于药箱中,对三种品牌的雾化器进行测试。10名健康个体参与了离体研究,以验证预测公式。使用Bland-Altman图分析预测剂量与吸入剂量之间的一致性。结果:体外模型显示,吸气时间/总呼吸周期时间(Ti/Ttotal;呼吸因子中,呼吸流量、呼吸频率、潮气量与给药剂量有显著直接关系。离体模型显示,除雾化时间和辅助剂量外,呼吸因子中Ti/Ttotal与给药剂量有显著的直接相关。离体模型的Bland-Altman图显示了两种方法之间相似的结果。口腔吸入剂量差异较大,从12.68%到21.68%不等;但预测剂量与吸入剂量的差异较小,为3.98% ~ 5.02%。结论:可以用假设的估计公式预测吸入的药物剂量,并通过健康个体呼吸方式的吸入剂量与预测剂量之间的一致性来验证。
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来源期刊
CiteScore
6.70
自引率
2.90%
发文量
34
审稿时长
>12 weeks
期刊介绍: Journal of Aerosol Medicine and Pulmonary Drug Delivery is the only peer-reviewed journal delivering innovative, authoritative coverage of the health effects of inhaled aerosols and delivery of drugs through the pulmonary system. The Journal is a forum for leading experts, addressing novel topics such as aerosolized chemotherapy, aerosolized vaccines, methods to determine toxicities, and delivery of aerosolized drugs in the intubated patient. Journal of Aerosol Medicine and Pulmonary Drug Delivery coverage includes: Pulmonary drug delivery Airway reactivity and asthma treatment Inhalation of particles and gases in the respiratory tract Toxic effects of inhaled agents Aerosols as tools for studying basic physiologic phenomena.
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