| Literature DB >> 28560037 |
Roberto W Dal Negro1, Pietro Longo1, Orestepaolo Villanis Ziani1, Luca Bonadiman1, Paola Turco2.
Abstract
BACKGROUND: Inhalation is the preferred route for respiratory drug delivery, but several factors contribute to the variability of the respirable dose fraction. Instant velocity and the dynamic characteristics of the droplet cloud represent crucial factors. Aim was to measure and compare the instant velocity and the consistency of emitted cloud from five different MDIs (A - Salbutamol sulphate 100mcg, GSK; B - Salbutamol sulphate 100mcg, Valeas; C - Salmeterol xinafoate/Fluticasone propionate 25/125mcg, GSK; D - Formoterol fumarate/Bechlomethasone propionate 6/100mcg, Chiesi; E - Formoterol fumarate/Fluticasone dipropionate 5/125mcg, Mundipharma) and one SMI (Tiotropium bromide 5mcg, Boehringer Ingelheim), at different distance from the nozzle and canister filling.Entities:
Keywords: Dose consistency; Instant velocity; MDIs; SMI; Variability
Year: 2017 PMID: 28560037 PMCID: PMC5447303 DOI: 10.1186/s40248-017-0096-1
Source DB: PubMed Journal: Multidiscip Respir Med ISSN: 1828-695X
Means (sd) of emitted dose velocity for each MDI and for the SMI, at different canister filling and distance from the nozzle. Anova for comparisons
| 5 cm | 10 cm | 20 cm | Anova p | ||
|---|---|---|---|---|---|
| MDI A | 90% | 35.5 (7.9) | 23.1 (1.6) | 12.5 (1.5) | 0.001 |
| 50% | 30.2 (10.0) | 21.8 (2.4) | 7.2 (6.4) | 0.001 | |
| 10% | 27.5 (9.7) | 21.7 (2.3) | 3.9 (6.2) | 0.001 | |
| Anova p | <0.037 | ns | <0.05 | ||
| MDI B | 90% | 63.1 (9.7)a | 51.3 (5.7) | 32.1 (2.4) | 0.001 |
| 50% | 60.0 (9.3)a | 51.7 (11.5) | 31.4 (4.5) | 0.001 | |
| 10% | 42.3 (6.4) | 33.3 (1.5%) | 18.4 (0–9) | 0.001 | |
| Anova p | <0.001 | <0.001 | <0.001 | ||
| MDI C | 90% | 47.4 (7.7) | 28.1 (2.5) | 17.9 (2.4) | 0.001 |
| 50% | 40.5 (7.4) | 25.5 (1.7) | 16.7 (2.4) | 0.001 | |
| 10% | 37.7 (4.8) | 27.9 (3.5) | 17.8 (2.1) | 0.001 | |
| Anova p | ns | ns | ns | ||
| MDI D | 90% | 40.7 (11.7) | 22.2 (1.4) | 12.2 (0.8) | 0.001 |
| 50% | 36.4 (6.9) | 20.1 (2.0) | 11.7 (1.1) | 0.001 | |
| 10% | 31.3 (3.7) | 19.3 (1.6) | 10.7 (1.2) | 0.001 | |
| Anova p | <0.005 | ns | <0.05 | ||
| MDI E | 90% | 45.0 (4.1) | 32.0 (3.3) | 17.2 (1.4) | 0.001 |
| 50% | 41.4 (7.1) | 29.3 (5.0) | 16.1 (1.5) | 0.001 | |
| 10% | 31.2 (9.7) | 21.7 (1.7) | 12.9 (2.7) | 0.001 | |
| Anova p | <0.001 | <0.01 | <0.02 | ||
| SMI | 90% | 5.7 (0.5)b | 3.6 (0.5) | 1.8 (0.4) | 0.001 |
| 50% | 5.2 (1.6)b | 3.5 (0.9) | 1.8 (0.5) | 0.001 | |
| 10% | 5.0 (1.3)b | 3.3 (1.1) | 1.6 (0.7) | 0.001 | |
| Anova p | ns | ns | ns |
aMDI A generated the highest value for instant velocity at 90% and 50% of canister filling (p < 0.001)
bSMI generated the lowest value for instant velocity at 90%, 50%, and 10% of canister filling (all p < 0.001)
Means ± sd of time (sec.); area (cm2), and perimeter (cm) of the clouds calculated for each device at 10 and 20 cm from the nozzle. ANOVA for comparisons
| 10 cm | 20 cm | |||||
|---|---|---|---|---|---|---|
| t sec | Area cm2 | Perimeter cm | t sec | Area cm2 | Perimeter cm | |
| MDI A | 0.011 (0.001) | 13.71 (2.13) | 20.54 (0.53) | 0.05 (0.019) | 71.10 (2.81) | 45.05 (1.93) |
| MDI B | 0.012 (0.01) | 9.31a (0.56) | 19.19a (0.55) | 0.053 (0.01) | 64.43 (2.50) | 41.68 (1.30) |
| MDI C | 0.011 (0.001) | 16.72 (8.18) | 21.87 (1.63) | 0.03 (0.01) | 52.42 (6.72) | 43.1 (1.87) |
| MDI D | 0.035 (0.021) | 18.53 (4.61) | 23.22 (1.33) | 0.03 (0.01) | 75.35 (2.41) | 48.88 (2.84) |
| MDI E | 0.03 (0.04) | 20.48 (1.71) | 24.24 (2.79) | 0.05 (0.04) | 59.46 (2.19) | 47.01 (1.27) |
| SMI | 0.29b (0.04) | 66.20b (8.94) | 38.68b (11.14) | 0.83b (0.39) | 130.08b (5.71) | 68.35b (10.71) |
aMDI B generated the tightest area and perimeter at 10 cm from the nozzle (ANOVA p < 0.001)
bSMI generated the widest areas and perimeters at 10 and 20 cm from the nozzle, with the slowest jet and cloud phase (ANOVA, all 0.001)
Fig. 1Colorimetric difference in the turbulence pattern obtained with MDI A (a) and SMI (b). The spots of bright colours indicates the sites of highest turbulence during the cloud emission, and their distribution. Dark colours indicate the absence of turbulence and the homogeneity of cloud emission. The variability of the red diagram trend indicates the corresponding dynamic stability or instability during all emission phases
Fig. 2Colorimetric difference in the pattern of turbulence obtained with MDI B (a) and SMI (b). The spots of bright colours indicates the sites of highest turbulence during the cloud emission, and their distribution. Dark colours indicate the absence of turbulence and the homogeneity of cloud emission. The variability of the red diagram trend indicates the corresponding dynamic stability or instability during all the emission phases