Abstract
Inhalation therapy has been successfully applied to treat respiratory diseases like asthma and chronic obstructive pulmonary disease (COPD) with the primary goal of lung targeting, i.e., maximizing the beneficial local effects while keeping the systemic side effects to a minimum. However, inhalation drug delivery remains challenging because of the plethora of factors that can impact the fate of an inhaled drug. These factors can be related to (1) anatomy/physiology of the lung (e.g., differences in the cellular profile and the anatomical features between the central and the peripheral lung; mucociliary escalator in the central lung region), (2) physicochemical properties of the drug (influence of particle size distribution on the degree and site of lung deposition; particle dissolution rate), and (3) patient characteristics (differences in breathing patterns and airway caliber between a healthy and a diseased lung, and its impact on the variability between and within subjects). Hence, it is imperative to incorporate the impact of these factors while developing models to accurately predict the pulmonary and systemic side effects and optimize inhalation therapy. PK/PD models describing the factors important for enhancing the benefit to risk ratio, models quantifying the systemic side effects of inhalation therapy, mechanistic/physiological PK models accurately predicting the systemic PK of inhalation drugs, and focusing on corticosteroids and β-2 agonists are described in this chapter.
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Kandala, B., Hochhaus, G. (2014). Pharmacometrics in Pulmonary Diseases. In: Schmidt, S., Derendorf, H. (eds) Applied Pharmacometrics. AAPS Advances in the Pharmaceutical Sciences Series, vol 14. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1304-6_12
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