® Respimat TM Mist Comparing Soft Inhaler and DPI Aerosol Deposition by Combined In Vitro Measurements and CFD Simulations Anna-Maria Ciciliani1, Herbert Wachtel2, and Peter Langguth1 1Institute of Pharmacy and Biochemistry, J Gutenberg University, Mainz, Germany 2Boehringer Ingelheim Pharma GmbH & Co KG, Ingelheim, Germany Spiriva® Respimat® INTRODUCTION The comparison of drug delivery to the lungs may be performed with development tools, e.g. throat and lung models. They range from in vitro models [1] as well as computational models (extending approximately to the 15th generation) [2] to combinations thereof e.g. comparing a MDI (metered dose inhaler) and a DPI (dry powder inhaler) [3]. Combining in vitro throat deposition data with an in silico lung deposition simulation resulted in the present single-path lung model extending to the 23rd generation (alveolar region). The model is applied to the Spiriva® Respimat® Soft MistTM Inhaler which is compared with two new DPI’s. All three inhalers contain muscarinic receptor antagonists as active ingredients. This investigation is motivated by the question, “Does device design result in significant differences in inhaler performance and particle deposition site in the throat and lung regions”. The limitations of in vitro and in silico studies are discussed. Seebri® Breezhaler® Eklira® Genuair® Inhaler Active ingredient: dDD (daily Delivered Dose): ND (Nominal Dose): Tiotropium Glycopyrronium Aclidinium 5µg (in 2 puffs) 44µg 2x 322µg 2.5µg 50µg 322µg Table 1. Respimat, Breezhaler, and Genuair. Doses according to patient leaflets. RESULTS EXPERIMENTS AND METHODS In vitro deposition testing In vitro throat deposition (Alberta throat, Figure 1) and particle size were obtained in a previous study [4]. Inspiratory flow rates of COPD (chronic obstructive pulmonary disease) patients were simulated taking into account the different flow resistances of the inhalers [5], see Fig. 4, right and ‘spontaneous’ inhalation for the active Respimat® and ‘forced’ inhalation for the dry powder inhalers. The in vitro results [4] showed for the breathing patterns of COPD patients that the in vitro-Dose to the Lung (DTL) is higher with Respimat (67 +/- 5 %ND) than with Breezhaler (51 +/- 2 %ND) and Genuair (42 +/- 1%ND). At the outlet of the throat model we found different Fine Particle Fractions (FPF’s) of particles with a mass median aerodynamic Figure 1. Top: In vitro throat model Down: In silico lung model with muscarinic M1 and M3 receptor density (RD) according to [6], image from [7] Gen 1 Gen 21 Gen 21 Gen 15-23: outflow Respimat: Average flow 55 L/min Breezhaler: Average flow 74 L/min We thank Prof. Warren Finlay for providing data of the idealized throat geometry. Ralf Kröger (Ansys, Darmstadt, Germany) provided consulting services concerning the CFD simulation. Financial support was provided by Boehringer Ingelheim. Figure 5. Summary result of the combined in vitro and CFD study, values given as %ND for turbulent flow. Experimental data is given for throat deposition and Dose to the Lung. CFD simulation data presenting groupings of the following airway generations: Trachea-G4, G5-G14, G15-20, G21-alveoli. The percentages do not sum up to 100% exactly due to inhaler deposition and drug recovery being below or above 100% of the ND in the in vitro experiments. Genuair: Average flow 38 L/min Figure 3. Particle deposition results of laminar CFD simulation for Respimat, Breezhaler, and Genuair (from left to right). Flow defined at the trachea. 6 10000 cum. volume Simulation [cm³] 1000 cum. volume calculated [cm³] cum. volume Finlay [cm³] 100 Turbohaler Ellipta Genuair Diskus Breezhaler Respimat 5 4 3 2 1 0 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Generation Figure 2. Meshing of single-path lung geometry. Dimensions are based on Finlay’s findings [1] who refers to Raabe et al. [8] and Haefeli-Bleuer [9]. Angles were taken from Raabe et al. [6]. Alveolar volume is considered using boundary conditions. Gen denotes the generation of branch. The advantage of this combined in vitro and in silico model is the elimination of patient variability. This facilitates the investigation of inhaler features for technical optimization and comparison but on the other hand not all aspects of the formulation and handling are considered. More important, effects of the patient’s disease (bronchoconstriction, reduced or even blocked air exchange in parts of the lung, fate of drug particles after deposition, clearance) are not assessed. In conclusion, these methods are very useful to guide inhaler and medical development as an additional tool, but they cannot address questions on safety and efficacy which require clinical trials. REFERENCES Inspiratory Effort (kPa) yellow: average to high RD CONCLUSION Gen 1 Volume [cm³] green: average RD Test inhalers Spiriva® Respimat® (Boehringer Ingelheim, Germany), a Soft MistTM Inhaler that contains an aqueous solution was compared to Seebri® Breezhaler® (Novartis Pharma GmbH, Germany), a capsule based dry powder inhaler, and Eklira® Genuair® (Almirall Sofotec, Spain), a multidose reservoir dry powder inhaler. The inhalers are shown in Table 1. To sum up, the in vitro and in silico results of Respimat show the lowest throat deposition and the highest deposition in the whole lung model and in the different lung generations when compared to Breezhaler and Genuair. ACKNOWLEDGEMENTS Trachea blue: unknown RD red: high RD diameter (MMAD) smaller than 5 µm, expressed as percentage of Nominal Dose (ND): Respimat showed a FPF of 44 +/- 6 %ND, Breezhaler a FPF of 43 +/- 2 %ND, and Genuair a FPF of 36 +/- 2 %ND. The MMAD’s were 3.7 +/- 0.5 µm, 2.5 +/- 0.1 µm, and 2.4 +/- 0.03 µm, respectively. The deposition pattern in the 23 generations of the in silico lung model was very similar for Respimat and Breezhaler, but Respimat delivered more particle mass (%ND) to the lungs as a whole and to the different lung regions in our model. Genuair had the lowest overall deposition, especially in the first 14 generations (Figure 3). For turbulent flow, there is more deposition in the region from trachea to generation 14 but less in generation 15 to 23 compared to the laminar flow simulation. This is valid for all three inhaler aerosols (Figure 5). Figure 4 shows the simulated lung volume of the in silico model and the inspiratory effort needed for inspiring through different inhalers. 0 50 100 Flow Rate achieved (L/min) Figure 4. Left: Cumulative lung volume of the simulation model. The model was adjusted so that it fits the volume suggested by Finlay et al. (log. representation) Right: Pressure drop (inspiratory effort) versus the Flow Rate achieved with different inhalers. DISCUSSION In this study an idealized in vitro throat model was combined with a computational CFD deposition model. This approach provided a valuable tool for comparing inhaler performance concerning particle deposition. Modelling the complex lung geometry and the resulting flow inside the model faces a series of challenges: • The dimensions of the airways of different generations are highly diverse and require adapted meshing. Flow profiles may vary and depend on training of the patients. • Many models are limited to generation 15 because at higher generations the volume is increased by alveoli . The geometry of their connection to the small airways is complex. In our model, the volume was simulated by boundary conditions. • The choice of turbulence models and of dedicated wall treatments influences the results. Only particle deposition is calculated. Dissolution, drug transport and biological features of the lung tissue are not considered in the present model. The present model cannot account for patient variability and therefore the need for clinical studies is unchanged in order to provide data on efficacy and safety. 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