Functional respiratory imaging assessment of glycopyrrolate and formoterol fumarate metered dose inhalers formulated using co-suspension delivery technology in patients with COPD

Abstract

Background:

Functional respiratory imaging (FRI) is a quantitative postprocessing imaging technique used to assess changes in the respiratory system. Using FRI, we characterized the effects of the long-acting muscarinic antagonist (LAMA), glycopyrrolate metered dose inhaler (GP MDI), and the long-acting β₂-agonist (LABA), formoterol fumarate metered dose inhaler (FF MDI), on airway volume and resistance in patients with moderate-to-severe chronic obstructive pulmonary disease.

Methods:

Patients in this phase IIIb, randomized, double-blind crossover study received twice-daily GP MDI (18 μg) and FF MDI (9.6 μg). Primary endpoints were specific (i.e. corrected for lobar volume) image-based airway volume (siVaw) and specific image-based airway resistance (siRaw), measured using FRI. Secondary and other endpoints included additional FRI, spirometry, and body plethysmography parameters. Postdose efficacy assessments were performed within 60–150 min of dosing on day 15.

Results:

A total of 23 patients were randomized and 19 completed both treatment periods. GP MDI and FF MDI both achieved significant improvements from baseline to day 15 in siVaw [11% (p = 0.0187) and 23% (p < 0.0001) increases, respectively] and siRaw [25% (p = 0.0219) and 44% (p < 0.0001) reductions, respectively]. Although, on average, improvements were larger for FF MDI than GP MDI, some individuals displayed greater responses with each of the two treatments. These within-patient differences increased with airway generation number. Spirometry and body plethysmography endpoints showed significant improvements from baseline in inspiratory capacity for both treatments, and numeric improvements for other endpoints.

Conclusion:

Both GP MDI and FF MDI significantly improved siRaw and siVaw at day 15 versus baseline. FRI endpoints demonstrated increased sensitivity relative to spirometry and body plethysmography in detecting differences between treatments in a small number of patients. Intra-patient differences in treatment response between the LAMA and the LABA provide further support for the benefit of dual bronchodilator therapies.

ClinicalTrials.gov registration number:

NCT02937584

The reviews of this paper are available via the supplemental material section.

Keywords

formoterol fumarate dihydrate functional respiratory imaging glycopyrronium long-acting muscarinic antagonist

Introduction

The cornerstone of pharmacologic maintenance therapy for chronic obstructive pulmonary disease (COPD) is treatment with inhaled bronchodilators, which can improve lung function, reduce airway obstruction, and decrease the risk of future exacerbations.¹ For patients with COPD who are at low risk of exacerbation, the current global initiative for chronic obstructive lung disease (GOLD) report recommends initial treatment with a single bronchodilator, with no preference for either a long-acting muscarinic antagonist (LAMA) or a long-acting β₂-agonist (LABA).¹ For those who are at high risk of exacerbation, but have a low symptom burden, a LAMA is preferred. The addition of a second bronchodilator is recommended for patients whose symptoms are inadequately controlled by monotherapy as LAMAs and LABAs can have a synergistic effect when administered together by enabling bronchodilation through separate receptor pathways.^2–4

A number of fixed-dose combinations providing both a LAMA and LABA in a single inhaler are now available.^5–9 These include a glycopyrrolate/formoterol fumarate metered dose inhaler (GFF MDI), formulated using co-suspension delivery technology, which is approved for the treatment of COPD in several markets including the USA, the EU and, since June 2019, Japan.^9–12 Glycopyrrolate (a LAMA) and formoterol fumarate (a LABA) are both well characterized and widely available as monotherapies.^13–16 Co-suspension delivery technology is a formulation technique for MDIs that provides consistent dose delivery, which is associated with drug distribution throughout the lung.^10,17,18

In patients with COPD, the severity of airflow limitation, measured as forced expiratory volume in 1 s (FEV₁), has traditionally been used to assess and guide treatment,¹⁹ and is still the gold standard for diagnosing COPD.¹ However, FEV₁ does not fully capture the complexity of COPD,²⁰ and nonspirometric methods can help to evaluate the extent and characteristics of the disease, as well as the impact of pharmacologic treatments.²¹ Functional respiratory imaging (FRI), a quantitative postprocessing technology based on computed tomography (CT) images, can be used to assess regional changes in the respiratory system²² and may be more sensitive than FEV₁ in evaluating the bronchodilating effect of COPD medications.^23–25

FRI previously demonstrated that GFF MDI significantly improved airway volume and resistance versus placebo in patients with COPD (ClinicalTrials.gov identifier: NCT02643082).²⁶ Here, we present a follow-up study that used FRI to characterize the effects of the monocomponents of GFF MDI, i.e. glycopyrrolate (GP MDI) and formoterol fumarate (FF MDI), also formulated using co-suspension delivery technology, in patients with moderate-to-severe COPD (ClinicalTrials.gov identifier: NCT02937584). FRI assessments were complemented by spirometry and body plethysmography measures to further characterize airflow limitation and lung hyperinflation, and to assess consistency between FRI and traditional lung-function parameters.

Methods

Study design

This randomized, double-blind, two-period crossover study assessed the effects of GP MDI 18 μg and FF MDI 9.6 μg (both administered as two twice-daily inhalations) on FRI parameters and pulmonary function after a 2-week dosing period in patients with moderate-to-severe COPD (Figure 1). Doses are expressed as glycopyrrolate 18 µg and formoterol fumarate 9.6 µg, equivalent to glycopyrronium 14.4 µg and formoterol fumarate dihydrate 10 µg, respectively.

Figure 1.

Study design. Patients received ipratropium bromide 34 μg four times daily during the screening and washout periods. All postdose assessments were performed within 150 min of dosing on day 15 (±5 days), with high-resolution CT scans (to assess FRI parameters) initiated 90 ± 30 min after dosing, followed by spirometry, then body plethysmography.

Following a 7–21-day run-in period, patients were randomized into one of two treatment sequences: GP MDI followed by FF MDI, or FF MDI followed by GP MDI (Figure 1). Patients received approximately 2 weeks of treatment with each study drug, separated by a washout period of 5–21 days. High-resolution CT scans, spirometry, and body plethysmography were performed at day 1 (baseline) and day 15 of each treatment period.

All patients provided written informed consent prior to any study-specific procedures. The study protocol was approved by the Antwerp University Hospital Ethics Committee (approval number 16/39/391), and the study was performed in accordance with the Declaration of Helsinki and Good Clinical Practice Guidelines and applicable regulatory requirements.

Study participants

Patients were current or former smokers, 40–80 years of age, with ⩾10 pack-years of cigarette smoking, and an established history of COPD, as defined by American Thoracic Society/European Respiratory Society criteria.²⁷ Patients had moderate-to-severe COPD, with an FEV₁/forced vital capacity ratio of <0.70 and a postbronchodilator FEV₁ >30% and <80% predicted at visit 1.

Key exclusion criteria were respiratory conditions other than COPD (including asthma), or significant diseases which, in the investigator’s opinion, could put the patient at risk or influence the results. Patients with poorly controlled COPD (defined as acute worsening of COPD that required treatment with oral corticosteroids or antibiotics within 6 weeks of screening or during the run-in period) were excluded.

Assessments

The primary FRI endpoints were specific (i.e. corrected for lobar volume) image-based airway volume (siVaw) and resistance (siRaw). Image-based airway volume (iVaw) and resistance (iRaw) were secondary FRI endpoints. Secondary lung function endpoints were FEV₁ (measured using spirometry) and functional residual capacity (FRC) (measured by body plethysmography). Inspiratory capacity (IC) (assessed via spirometry) was an additional endpoint.

All endpoints were based on postdose assessments performed within 150 min of dosing on day 15 (±5 days), with high-resolution CT scans (to assess FRI parameters) initiated 90 ± 30 min after dosing, followed by spirometry, then body plethysmography.

Details of the FRI methodology have been published previously.^22,26 Analysis of mass of deposited particles was performed as previously described by De Backer et al.²⁸ Data were generated within each of the five lobes of the lung for all parameters, and iVaw was also generated for each airway generation. Adverse events (AEs) were monitored throughout the study.

Statistical analyses

The intent-to-treat (ITT) population was defined as all patients who were randomized to treatment. All patients in the ITT population who received ⩾1 dose of study drug were included in the safety population.

For FRI parameters, data were generated within each of the five lobes of the lung. Across-lobe summaries provided an average of available lobe-level data. The primary efficacy analyses of siVaw and siRaw comprised a within-treatment comparison of day 1 and day 15 using a paired t-test for each primary endpoint and for each treatment. As a supportive secondary analysis, the day 15 value for each parameter in each period was analyzed using a linear mixed-effect model to compare treatments. A multilevel by-lobe model was used to incorporate the repeated measurements from the lobes for each patient, including fixed effects for period, treatment, lobe, and treatment by lobe interaction. The model did not include treatment sequence unless that term was determined to be important (p < 0.10). Lobe was included as a random effect within each patient. Data were logarithmically transformed before analysis with treatment effect estimates then exponentiated and presented as ratios.

Analyses of secondary FRI endpoints were similar to the primary endpoint analysis. iVaw was also analyzed using generation-level data (within segment within lobe), based upon the total across all segments for a given generation number. This by-generation model included the same covariates as the by-lobe model, except that lobe was substituted with generation. A typical airway model included 5–10 generations, depending mainly on the disease state of the patient. To address this, alternative analyses of by-generation data were conducted with untransformed or log-transformed data. In the untransformed analysis, missing generations were imputed with zero and in the log-transformed analysis they were imputed by the smallest observed value of iVaw. As the number of generations visible on a CT scan can also vary over time, a patient’s airway generations were trimmed so that the generations were the same across their visits. For the analysis of iVaw, an untrimmed analysis was undertaken in addition to a trimmed analysis; only the trimmed iVaw values were used for the derivation of other FRI parameters.

For spirometry and body plethysmography parameters, paired t-tests were used for within-treatment comparisons of day 1 and day 15. For comparisons between treatments, the change from baseline to day 15 for each endpoint was analyzed using a linear mixed-effect model including patient-average baseline value as a continuous covariate and treatment and period as fixed effects. Spirometry endpoints were not log-transformed.

For the primary efficacy endpoints, Hochberg’s step-up procedure was used as multiplicity adjustment. Hochberg’s procedure was applied once for siVaw and siRaw for GP MDI and then applied separately again for the same endpoints for FF MDI. No correction was performed for the secondary and other efficacy endpoints or for between-treatment comparisons, and all were interpreted in terms of nominal significance at a 5% level.

Results

Study population

A total of 23 patients were randomized and received at least one dose of study drug, and were included in the ITT and safety populations. Nineteen patients (82.6%) completed both treatment periods; 4 patients (17.4%) discontinued early due to COPD exacerbations and did not complete any postdose assessments, and therefore could not be included in efficacy analyses. Across both treatment periods, 20 patients received treatment with GP MDI (87.0%) and 22 received treatment with FF MDI (95.7%).

Most patients in the study were men (73.9%) and the mean age was 64.6 years; 52.2% were current smokers and the mean COPD duration was 9.2 years (Table 1). At screening, 69.6% of patients had moderate COPD and the remaining 30.4% had severe COPD: the overall mean (standard deviation) postbronchodilator FEV₁ was 57.3% (11.4) of predicted normal (Table 1).

Table 1.

Baseline demographics and clinical characteristics (ITT population).

	All patients (N = 23)
Mean age (SD), years	64.6 (9.6)
Male, n (%)	17 (73.9)
White, n (%)	23 (100.0)
Mean BMI (SD), kg/m²	28.8 (4.5)
Current smoker, n (%)	12 (52.2)
Median pack-years smoked (range)	43.0 (18.8–142.5)
COPD severity, n (%)
Moderate	16 (69.6)
Severe	7 (30.4)
Mean total CAT score (SD)	18.3 (4.9)
Postbronchodilator FEV₁ at screening, % predicted (SD)	57.3 (11.4)
⩾1 moderate or severe COPD exacerbation in the past year, n (%)	4 (17.4%)

BMI, body mass index; CAT, COPD assessment test; COPD, chronic obstructive pulmonary disease; FEV₁, forced expiratory volume in 1 s; ITT, intent-to-treat; SD, standard deviation.

FRI

Both GP MDI and FF MDI achieved statistically significant improvements from baseline to day 15 in the primary endpoints of siVaw [11% (p = 0.0187) and 23% (p < 0.0001) increases, respectively] and siRaw [25% (p = 0.0219) and 44% (p < 0.0001) reductions, respectively] (Table 2).

Table 2.

Comparison to baseline for primary and secondary efficacy endpoints at day 15 (ITT population).

	GP MDI 18 µg (N = 20^a)	FF MDI 9.6 µg (N = 22^a)
Primary FRI endpoints ^b
siVaw at TLC
Geometric mean, ml/L	1.33	1.42
Ratio to baseline (95% CI)	1.11 (1.02, 1.22)^*	1.23 (1.14, 1.33)^***
siRaw at TLC
Geometric mean, kPa·s	0.15	0.12
Ratio to baseline (95% CI)	0.75 (0.59, 0.95)^*	0.56 (0.44, 0.71)^***
Secondary endpoints
FRI ^b
Trimmed iVaw at TLC
Geometric mean, ml	1.71	1.80
Ratio to baseline (95% CI)	1.12 (1.01, 1.24)^†	1.21 (1.12, 1.31)^†††
Untrimmed iVaw at TLC
Geometric mean, ml	2.08	2.25
Ratio to baseline (95% CI)	1.14 (1.01, 1.29)^†	1.26 (1.09, 1.45)^†
iRaw at TLC
Geometric mean, kPa·s/L	0.13	0.10
Ratio to baseline (95% CI)	0.76 (0.59, 0.97)^†	0.55 (0.41, 0.72)^††
Spirometry
FEV₁, mL
Mean (SD)	1689 (564)	1744 (627)
Change from baseline (95% CI)	65 (–28, 158)	151 (10, 292)^†
IC, ml^c
Mean (SD)	2525 (805)	2507 (814)
Change from baseline (95% CI)	164 (26, 302)^†	148 (20, 275)^†
Body plethysmography
FRC
Mean, L (SD)	4.94 (1.25)	4.91 (1.58)
Ratio to baseline (95% CI)	0.98 (0.89, 1.07)	0.94 (0.83, 1.06)

Statistically significant, p < 0.05; ^***statistically significant, p < 0.0001. ^†Nominally significant, p < 0.05; ^††nominally significant, p < 0.001; ^†††nominally significant, p < 0.0001.

Number of patients in the ITT population with evaluable data = 19 for all endpoints except for IC for FF MDI (n = 18).

Model includes patient-level data (lobes averaged for each patient prior to analysis); p values are derived from paired t-test, and CIs are based on the t-distribution.

Other endpoint.

CI, confidence interval; FEV₁, forced expiratory volume in 1 s; FF, formoterol fumarate; FRC, functional residual capacity; FRI, functional respiratory imaging; GP, glycopyrrolate; IC, inspiratory capacity; iRaw, image-based airway resistance; ITT, intent-to-treat; iVaw, image-based airway volume; MDI, metered dose inhaler; SD, standard deviation; siRaw, specific image-based airway resistance; siVaw, specific image-based airway volume; TLC, total lung capacity.

Representative images from one patient are shown in Figure 2. Although there were some individual patients for whom GP MDI had a greater benefit than FF MDI, on average greater benefits were seen for the FF MDI treatment. siVaw was ~6% smaller and siRaw was 24% larger with GP MDI versus FF MDI (p = 0.0027 and p = 0.0023, respectively) (Table 3).

Figure 2.

Images for co-primary FRI endpoints of siVaw (a) and siRaw (b) on day 15 at TLC from one representative patient.

Table 3.

Comparison between treatments for primary and secondary efficacy endpoints at day 15 (ITT population).

	GP MDI 18 µg (N = 20^a)	FF MDI 9.6 µg (N = 22^a)
Primary FRI endpoints ^b
siVaw at TLC
Geometric LSM, ml/L (95% CI)	1.27 (1.02, 1.59)	1.35 (1.09, 1.68)
LSM ratio, GP MDI versus FF MDI	0.94 (0.91, 0.98)^††
siRaw at TLC
Geometric LSM, kPa·s (95% CI)	0.13 (0.10, 0.16)	0.10 (0.08, 0.13)
LSM ratio, GP MDI versus FF MDI	1.24 (1.08, 1.42)^††
Secondary endpoints
FRI
Trimmed iVaw at TLC
Geometric LSM, ml (95% CI)	1.55 (1.21, 2.00)	1.64 (1.27, 2.11)
LSM ratio, GP MDI versus FF MDI	0.95 (0.91, 0.99)^††
Untrimmed iVaw at TLC
Geometric LSM, ml (95% CI)	1.90 (1.50, 2.39)	2.07 (1.64, 2.61)
LSM ratio, GP MDI versus FF MDI	0.92 (0.86, 0.98)^††
iRaw at TLC
Geometric LSM, kPa·s/L (95% CI)	0.10 (0.08, 0.13)	0.08 (0.07, 0.11)
LSM ratio, GP MDI versus FF MDI	1.23 (1.08, 1.40)^††
Spirometry
FEV₁, ml
LSM change from baseline (95% CI)	82 (–30, 194)	134 (22, 246)
LSM difference, GP MDI versus FF MDI	–52 (–173, 70)
IC, ml
LSM change from baseline (95% CI)^c	182 (64, 299)	148 (27, 270)
LSM difference, GP MDI versus FF MDI	33 (–130, 197)
Body plethysmography
FRC (95% CI)
Geometric LSM ratio to baseline, L	0.96 (0.88, 1.06)	0.95 (0.86, 1.04)
LSM ratio, GP MDI versus FF MDI	1.02 (0.92, 1.13)

††

Nominally significant, p < 0.01.

Number of patients in the ITT population with evaluable data = 19 for all endpoints except IC for FF MDI (n = 18).

Model includes lobe-level data (number of lobes = 95); data here represent the average across-lobe values.

Other endpoint.

CI, confidence interval; FEV₁, forced expiratory volume in 1 s; FF, formoterol fumarate; FRC, functional residual capacity; FRI, functional respiratory imaging; GP, glycopyrrolate; IC, inspiratory capacity; iRaw, image-based airway resistance; ITT, intent-to-treat; iVaw, image-based airway volume; LSM, least squares mean; MDI, metered dose inhaler; siRaw, specific image-based airway resistance; siVaw, specific image-based airway volume; TLC, total lung capacity.

For individual subjects, increases in siVaw at day 15 relative to baseline were generally consistent across lobes. The difference in airway volume findings between GP MDI and FF MDI was consistent across lobes (3–7% difference), but some variation was seen for resistance (4–62% difference between GP MDI and FF MDI, with the greatest difference in the right middle lobe; data not shown).

Significant improvements from baseline with GP MDI and FF MDI were also demonstrated for the secondary endpoints of iVaw (trimmed and untrimmed) and iRaw, supporting the conclusions of the primary analysis (Tables 2 and 3). Changes in airway volume were generally consistent across lobes for both treatments; however, the untransformed analysis of untrimmed iVaw by airway generation showed a nominally significant interaction between treatment and generation (p = 0.0469), indicating potential differences in the effects of GP MDI and FF MDI by generation (Figure 3(a)). The interaction was quantitative rather than qualitative, in that the absolute magnitude of the difference between GP MDI and FF MDI varied by generation, but the direction of effect remained consistent, with slightly greater improvements in untrimmed iVaw with FF MDI compared with GP MDI at each generation. In the transformed analysis (Figure 3(b)), examining relative effects, the interaction between treatment and generation was not significant (p = 0.9615). In general, a similar shape of response curve by generation was observed for GP MDI and FF MDI in both the untransformed (Figure 3(a)) and transformed (Figure 3(b)) analyses.

Figure 3.

Untransformed (a) and transformed (b) analyses of untrimmed iVaw by airway generation on day 15 (ITT population). Error bars denote 95% confidence intervals. Data from repeated measures models.

Given the crossover design, the difference in the effects of GP MDI and FF MDI could be investigated within the same individual. Differences between GP MDI and FF MDI in untrimmed iVaw at day 15 tended to increase with airway generation number for a given patient (Figure 4). This finding applied for both the patients with a greater response to FF MDI (ratio <1 in Figure 4) and those with a greater response to GP MDI (ratio >1 in Figure 4).

Figure 4.

Ratio of GP MDI:FF MDI for day 15 untrimmed iVaw at TLC by individual generations (ITT population). Ratios <1 favor FF MDI; ratios >1 favor GP MDI. Colors represent different patients. Y-axis presented in the log scale.

In the mass of deposited particles simulation, 36.0% of the labeled glycopyrronium and 33.8% of the labeled formoterol fumarate were estimated to reach the lobes. In the by-generation analyses, mass deposition was greatest at generation 2 and then declined steadily for both glycopyrronium and formoterol fumarate.

Spirometry and body plethysmography

In the within-treatment analysis, there was a nominally significant improvement from baseline in postdose FEV₁ on day 15 for FF MDI (mean change from baseline: 151 ml; p = 0.0375), and a numerical improvement for GP MDI (mean change from baseline: 65 ml; p = 0.1582) (Table 2). Both GP MDI and FF MDI demonstrated nominally significant improvements from baseline in IC (mean changes from baseline of 164 ml and 148 ml, respectively; p = 0.0228 and p = 0.0263) (Table 2). Numeric improvements from baseline in FRC were observed with both GP MDI (2.2% reduction; geometric mean ratio to baseline: 0.98; p = 0.6176) and FF MDI (6.2% reduction; geometric mean ratio to baseline: 0.94; p = 0.2699) (Table 2).

In the between-treatment comparisons, there were no statistically significant differences between GP MDI and FF MDI in any spirometry or plethysmography endpoints (Table 3).

Safety

Overall, 12 patients (52.2%) experienced at least 1 treatment-emergent AE (TEAE) during the study; 5 patients (25.0%) experienced ⩾1 TEAE while receiving GP MDI and 8 patients (36.4%) experienced ⩾1 TEAE while receiving FF MDI. The most commonly reported TEAEs were COPD (4 patients; 17.4%) and influenza (3 patients; 13.0%). All 4 patients who experienced a COPD TEAE (exacerbation) were withdrawn from the study (1 patient while receiving GP MDI, 3 while receiving FF MDI). Three TEAE events reported by 2 patients were considered to be related to the study drug: of these, one occurred during treatment with FF MDI (COPD exacerbation) and two occurred during treatment with GP MDI (exertional dyspnea and increased bronchial secretion). Two patients experienced a serious AE during the study: aortic aneurysm (while receiving FF MDI) and a recurrent case of non-Hodgkin’s lymphoma (during follow-up, after receiving GP MDI); neither were considered to be related to the treatment. Safety findings were consistent with the known safety profile of GP MDI and FF MDI and the study population of patients with moderate-to-severe COPD.

Discussion

In this phase IIIb FRI study, treatment with a LAMA (GP MDI) or LABA (FF MDI) increased specific airway volume and decreased specific airway resistance after 2 weeks of treatment in patients with moderate-to-severe COPD. Overall, the magnitude of improvement in FRI parameters with single long-acting bronchodilators (LAMA or LABA) in this study was generally comparable with previous studies of inhaled corticosteroid/LABA combinations.^23,24 As expected, the improvements seen with GP MDI and FF MDI were smaller than those observed previously with the LAMA/LABA combination GFF MDI (75% increase in siVaw and 71% decrease in siRaw, both versus placebo MDI).²⁶ The magnitude of improvement from baseline observed with GFF MDI (50% increase in siVaw and 64% decrease in siRaw; data on file) was also comparable with the sum of the improvements seen with GP MDI and FF MDI in the current study, confirming the benefit of combining both bronchodilators. Spirometry and body plethysmography findings were generally consistent with the FRI results; however, the image-based endpoints were more sensitive in detecting significant differences between the two treatments compared with traditional lung-function assessments, which were underpowered for distinguishing between the two active treatments in this number of patients. As with the FRI endpoints, improvements in FEV₁ and IC observed with single bronchodilators in the current study were considerably smaller than those previously reported for GFF MDI (increases versus placebo of 443 ml and 454 ml, respectively).²⁶

While there were some individual patients for whom each of the treatments had greater benefit, on average there were larger improvements from baseline in the FF MDI group versus the GP MDI group for the FRI parameters as well as FEV₁. The greater response with FF MDI compared with GP MDI may reflect the faster onset of action of formoterol, given the timing of the postdose CT and pulmonary function assessments (between 1 h and 2.5 h postdosing). The difference between FF MDI and GP MDI in FEV₁ in the current study was similar to that observed at 1 h and 2 h postdosing in previous 12-h lung-function studies, whereas the treatments were comparable at later time points in these studies.^29,30 The finding that some patients responded better to the LAMA, while others responded better to the LABA, suggests the potential benefit of commencing therapy with a dual bronchodilator to minimize the possibility of an inadequate response to monotherapy.

FRI also detected a quantitative interaction between treatment and airway generation in the analysis of untrimmed iVaw with the absolute magnitude of the treatment difference between FF MDI and GP MDI varying by generation. However, a similar shape of response curve by generation was observed for both treatments, with no clear difference in the relative effects of treatment by generation. Regardless of whether a patient had a better response to FF MDI or GP MDI, within-patient treatment differences for untrimmed iVaw tended to increase with airway generation number, although it should be noted that this finding was based only on the first five airway generations, which were consistently quantifiable. It could be that LAMA and LABA receptors are unequally distributed in some patients, since some individuals have demonstrated greater response to a LAMA, whilst others demonstrated greater response to a LABA mainly, but not exclusively, from the fourth generation onwards (Figure 4).

In a previous FRI study of GFF MDI, improvements in siVaw and siRaw were strongly correlated with the change from baseline in FEV₁,²⁶ suggesting that, for dual long-acting bronchodilators with a large magnitude of effect on lung function, FRI endpoints can provide similar information to spirometric testing, with the added benefit of providing region-specific data. In the current study, we observed significant improvements from baseline for both the LAMA and LABA treatments (as well as nominally significant treatment differences) with FRI, but generally did not have sufficient statistical power to demonstrate significant differences with spirometry or body plethysmography. This finding is in agreement with previous studies showing that FRI analyses provide increased sensitivity and allow for improved detection of treatment differences in a small number of patients compared with traditional lung-function endpoints.^23–25 We also used FRI to estimate the mass deposition of glycopyrronium and formoterol from GP MDI and FF MDI. For both components, approximately 35% of the total delivered dose was deposited in the lungs. The deposited amount was consistent with the 38% lung deposition found in a study of GFF MDI using gamma scintigraphy.¹⁸

No new or unexpected safety findings were observed in this study. The AEs reported were consistent with the known safety profiles of GP MDI and FF MDI formulated using co-suspension delivery technology^31–33 and the study population of patients with moderate-to-severe COPD.³⁴

In conclusion, treatment with a LAMA (GP MDI) or a LABA (FF MDI) increased airway volume and decreased airway resistance in patients with moderate-to-severe COPD. The results for these image-based endpoints were generally consistent with traditional lung-function assessments, while FRI also showed increased sensitivity relative to spirometry and body plethysmography in detecting differences between treatments in a small number of patients. As expected, the improvements seen with GP MDI and FF MDI in FRI endpoints were smaller than those observed in a previous study with the LAMA/LABA combination GFF MDI.²⁶ It is important to note that some patients responded better to either the LAMA or the LABA. This heterogeneous response to a LAMA versus a LABA further justifies the benefit of including them both in combination therapies.

Supplemental Material

Author_Response_1 – Supplemental material for Functional respiratory imaging assessment of glycopyrrolate and formoterol fumarate metered dose inhalers formulated using co-suspension delivery technology in patients with COPD

Supplemental material, Author_Response_1 for Functional respiratory imaging assessment of glycopyrrolate and formoterol fumarate metered dose inhalers formulated using co-suspension delivery technology in patients with COPD by Wilfried De Backer, Jan De Backer, Ilse Verlinden, Glenn Leemans, Cedric Van Holsbeke, Benjamin Mignot, Martin Jenkins, Dianne Griffis, Stefan Ivanov, Jane Fitzpatrick, Earl St Rose, Ubaldo J. Martin and Colin Reisner in Therapeutic Advances in Respiratory Disease

Supplemental Material

Reviewer_1_v.1 – Supplemental material for Functional respiratory imaging assessment of glycopyrrolate and formoterol fumarate metered dose inhalers formulated using co-suspension delivery technology in patients with COPD

Supplemental material, Reviewer_1_v.1 for Functional respiratory imaging assessment of glycopyrrolate and formoterol fumarate metered dose inhalers formulated using co-suspension delivery technology in patients with COPD by Wilfried De Backer, Jan De Backer, Ilse Verlinden, Glenn Leemans, Cedric Van Holsbeke, Benjamin Mignot, Martin Jenkins, Dianne Griffis, Stefan Ivanov, Jane Fitzpatrick, Earl St Rose, Ubaldo J. Martin and Colin Reisner in Therapeutic Advances in Respiratory Disease

Supplemental Material

Reviewer_2_v.1 – Supplemental material for Functional respiratory imaging assessment of glycopyrrolate and formoterol fumarate metered dose inhalers formulated using co-suspension delivery technology in patients with COPD

Supplemental material, Reviewer_2_v.1 for Functional respiratory imaging assessment of glycopyrrolate and formoterol fumarate metered dose inhalers formulated using co-suspension delivery technology in patients with COPD by Wilfried De Backer, Jan De Backer, Ilse Verlinden, Glenn Leemans, Cedric Van Holsbeke, Benjamin Mignot, Martin Jenkins, Dianne Griffis, Stefan Ivanov, Jane Fitzpatrick, Earl St Rose, Ubaldo J. Martin and Colin Reisner in Therapeutic Advances in Respiratory Disease

Footnotes

Acknowledgements

The authors thank all the patients and their families and the team of investigators involved in the study. The authors also thank FLUIDDA and Wim Vos for their valuable contributions to the study. Medical writing support, under the direction of the authors, was provided by Julia King, PhD, of CMC Connect, McCann Health Medical Communications, which was funded by AstraZeneca, Gaithersburg, USA in accordance with Good Publication Practice (GPP3) guidelines.³⁵

Conflict of interest statement

WDB has no real or perceived conflicts of interest that relate to this manuscript. His department has received grants from AstraZeneca, Chiesi, and GlaxoSmithKline. JDB is the Chief Executive Officer and founder of FLUIDDA, and holds shares in the company. CVH and BM are employees of FLUIDDA, and GL and IV are former employees of FLUIDDA. MJ, DG, SI, JF, ESR, UJM, and CR are employees of AstraZeneca.

Data availability

Data underlying the findings described in this manuscript may be obtained in accordance with AstraZeneca’s data sharing policy described at

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: this study was supported by AstraZeneca.

Supplementary material

The reviews of this paper are available via the supplemental material section.

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Supplementary Material

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