2016
DOI: 10.1016/j.ejps.2016.03.008
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Computer modeling of airway deposition distribution of Foster ® NEXThaler ® and Seretide ® Diskus ® dry powder combination drugs

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Cited by 12 publications
(11 citation statements)
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“…Carefully validated numerical models proved to be a powerful tool in the quantification of total respiratory tract, regional and local deposition distributions of different drugs (e.g. Jókay et al, 2016;Horváth et al,2017). However, most of the numerical models do not consider the growth of the inhaled particles due to the humid environment within the airways.…”
Section: Introductionmentioning
confidence: 99%
“…Carefully validated numerical models proved to be a powerful tool in the quantification of total respiratory tract, regional and local deposition distributions of different drugs (e.g. Jókay et al, 2016;Horváth et al,2017). However, most of the numerical models do not consider the growth of the inhaled particles due to the humid environment within the airways.…”
Section: Introductionmentioning
confidence: 99%
“…As the action of inhaled medication is highly dependent on proper lung deposition of the drugs, intraindividual variability in inhalation maneuvers can lead to inconsistent pulmonary drug delivery and consequently to varying degrees of bronchodilation. (12,17) FIG. 2.…”
Section: Discussionmentioning
confidence: 99%
“…(12,30) The most important breath profile parameters influencing pulmonary drug deposition include IVC d , PIF d , and t in . (17,31) Inhalation parameters have an impact on fine-particle fraction, mass median aerodynamic diameter (MMAD), as well as on emitted dose, especially in DPIs. (17,31) MMAD can be determined by measurements with a cascade impactor at different flow rates and is highly influenced by PIF.…”
Section: Discussionmentioning
confidence: 99%
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“…As mentioned before, the outputs of the in silico model is the fractions of drug doses deposited in the whole respiratory tract and in distinct regions of the airways (extrathoracic, lung and exhaled value)(Kerekes et al, 2013). Airway deposition of several commercially available DPIs and pMDIs were simulated by the Stochastic Lung Deposition Model(Jókay et al, 2015;Jókay et al, 2016;Farkas et al, 2015), which was previously validated against in vivo deposition data available in the open literature.…”
mentioning
confidence: 99%