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1.
COPD ; 16(2): 196-205, 2019 04.
Article in English | MEDLINE | ID: mdl-31264482

ABSTRACT

This article reviews the latest data pertaining to the Genuair®/Pressair® device, a breath-actuated, multi-dose dry-powder inhaler with a two-step inhalation process, which is marketed for the delivery of aclidinium alone or in combination with formoterol for long-term maintenance bronchodilation treatment in chronic obstructive pulmonary disease. It contains multiple feedback mechanisms to guide effective use, and safety features to avoid double-dosing or attempted use when empty. In addition to describing the design of Genuair®, the article will provide an update on inhaler operability and performance, focusing on recent patient preference and satisfaction studies. The evidence suggests that patients find Genuair® easy to use, with patients requiring less training and making fewer inhalation errors than with other inhalers, and that patient satisfaction with the device is high.


Subject(s)
Bronchodilator Agents/administration & dosage , Dry Powder Inhalers , Formoterol Fumarate/administration & dosage , Patient Satisfaction/statistics & numerical data , Pulmonary Disease, Chronic Obstructive/drug therapy , Tropanes/administration & dosage , Administration, Inhalation , Bronchodilator Agents/therapeutic use , Drug Combinations , Formoterol Fumarate/therapeutic use , Humans , Tropanes/therapeutic use
2.
Int J Pharm ; 563: 304-313, 2019 May 30.
Article in English | MEDLINE | ID: mdl-30959239

ABSTRACT

Acoustic Emission (AE) measurement technology has gained wide appreciation in material sciences and process monitoring. In inhalation research, AE has been used for adherence indicating applications in clinical studies. Promising results from feasibility studies using AE combined with multivariate data analysis (AE-MVDA) in the analysis of devices for inhalation have prompted a broader study reported in this paper. This work presents the novel application of AE-MVDA for assessment of the combined inhalation device and formulation performance. The purpose is to evaluate the benefits that this technology can provide to inhalation product development programs. The work was carried out using two different dry powder inhaler device model systems while investigating different performance features. The devices were filled with dry powder formulations with both placebo and with active pharmaceutical ingredient (API). The acquired AE data was analyzed using multivariate data analysis tools such as Principal component analysis (PCA) and orthogonal projections to latent structures (OPLS). The AE profiles were indicative for device and formulation performance. Normal and deviating performances were readily picked up in the AE data. Moreover, performance trends between doses withdrawn from the inhalers were also observable. Lastly, differences in the AE profile between the formulations could be detected. The overall conclusion from the AE-MVDA measurement approach evaluation is that it has the potential to add value as a cost-effective, non-invasive quality and performance monitoring technology both in development and in production of inhaled medicines.


Subject(s)
Acoustics , Dry Powder Inhalers , Equipment Design , Multivariate Analysis , Powders
3.
AAPS PharmSciTech ; 15(5): 1126-37, 2014 Oct.
Article in English | MEDLINE | ID: mdl-24871551

ABSTRACT

Compendial methods determining dry powder inhaler (DPI)-emitted aerosol aerodynamic particle size distribution (APSD) collect a 4-L air sample containing the aerosol bolus, where the flow, which propagates through the cascade impactor (CI) measurement system from the vacuum source, is used to actuate the inhaler. A previous article described outcomes with two CIs (Andersen eight-stage cascade impactor (ACI) and Next-Generation Pharmaceutical Impactor (NGI)) when the air sample volume was ≤4 L with moderate-resistance DPIs. This article extends that work, examining the hypothesis that DPI flow resistance may be a factor in determining outcomes. APSD measurements were made using the same CI systems with inhalers representing low and high flow resistance extremes (Cyclohaler® and HandiHaler® DPIs, respectively). The ratio of sample volume to internal dead space (normalized volume (V*)) was varied from 0.25 to 1.98 (NGI) and from 0.43 to 3.46 (ACI). Inhaler resistance was a contributing factor to the rate of bolus transfer; the higher resistance DPI completing bolus relocation to the NGI pre-separator via the inlet when V* was as small as 0.25, whereas only ca. 50% of the bolus mass was collected at this condition with the Cyclohaler® DPI. Size fractionation of the bolus from either DPI was completed within the ACI at smaller values of V* than within the NGI. Bolus transfer from the Cyclohaler® capsule and from the HandiHaler® to the ACI system were unaffected by the different flow rise time observed in the two different flow controller systems, and the effects the ACI-based on APSD measurements were marginal.


Subject(s)
Aerosols , Dry Powder Inhalers , Equipment Design , Particle Size
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