Peak Inspiratory Flow Rate in COPD: An Analysis of Clinical Trial and Real-World Data.

BACKGROUND: The influence of peak inspiratory flow (PIF) on dose delivery from dry powder inhalers (DPIs) and association with treatment efficacy in patients with chronic obstructive pulmonary disease (COPD) has not been fully determined. In vitro studies have demonstrated adequate dose delivery through ELLIPTA DPI at PIF ≥30 L/min. This analysis of two clinical trials and a real-world population of COPD patients determined spirometric PIF distribution, and explored the relationship between PIF and outcomes in the trials.
METHODS: The replicate Phase IV, 12-week, randomized, double-blind 207608/207609 (NCT03478683/NCT03478696) trials evaluated fluticasone furoate/umeclidinium/vilanterol via ELLIPTA DPI versus budesonide/formoterol+tiotropium in COPD patients. This post hoc analysis assessed spirometric PIF distribution at screening and relationship between PIF and lung function outcomes in the pooled 207608/207609 population. Spirometric PIF distributions in a real-world population of COPD patients were evaluated by retrospective analysis of the Kaiser Permanente Northwest (KPNW) database to assess similarities between clinical trial and real-world populations.
RESULTS: A total of 1460 (207608/207609) and 3282 (KPNW) patients were included. There was considerable overlap between spirometric PIF distributions for both populations. Overall, 99.7% and 99.8% of the 207608/207609 and KPNW populations, respectively, reported spirometric PIF ≥50 L/min, estimated as equivalent to ELLIPTA PIFR ≥30 L/min. In the 207608/207609 combined analysis, there was no significant interaction between spirometric PIF and treatment for lung function endpoints, indicating treatment effect is independent of PIF.
CONCLUSION: Nearly all COPD patients in the 207608/207609 and KPNW populations achieved spirometric PIF values estimated as equivalent to PIFR of ≥30 L/min through the ELLIPTA DPI. Lack of correlation between spirometric PIF at screening and treatment efficacy aligns with consistent dose performance from the ELLIPTA DPI across a wide range of PIFs, achieved by patients with COPD of all severities.

Introduction

Dry powder inhalers (DPIs) have become one of the main administration devices for chronic obstructive pulmonary disease (COPD) therapies. Studies have shown that patients generally prefer using DPIs compared with traditionally used metered dose inhalers (MDIs).1 The ELLIPTA DPI device, compared with MDIs, has been associated with shorter training times, fewer errors in use, less requirement for coordination, environmental benefits and greater patient preference, with implications for adherence and potentially treatment outcomes.2,3 The ELLIPTA DPI has also been shown to be easy to use with few errors in use across different age groups in patients with COPD.4 In order to use DPIs adequately, patients must generate a level of inspiratory effort based on the internal resistance of the inhaler, and thereby provide energy for dose emission and de-aggregation of the inhalation powder to generate particles of a suitable size for deposition within the lower respiratory tract.5–7

The peak inspiratory flow (PIF) is the maximal flow achieved by an individual during an inspiratory manoeuvre and is measured during clinical practice using spirometry or by devices designed to mimic inhaler-specific resistance.8,9 There is no consistent evidence of an association between inhaler-specific PIF and expiratory measures, such as forced expiratory volume in 1 second (FEV1), nor with FEV1% predicted.8,10 Dynamic compression of the airway in COPD impairs exhalation resulting in reduced FEV1 and peak expiratory flow, but has no effect on PIFRs which are dependent on the inspiratory pressure generated by muscles used during respiration.10,11 The data from several previous studies have demonstrated inconsistent correlation between spirometric PIF and inhaler-specific PIF.8,12–14

Although threshold spirometry and inhaler-specific PIF values are yet to be fully determined, a PIF value of ≥60 L/min is often described as “optimal” for most DPIs to ensure medication de-aggregation and lower respiratory tract disposition.6,8,9,15 However, based on the findings of in vitro and small-scale observational studies, minimum and optimal inhaler-specific PIF values ranging from 20 to 50 L/min and from 30 to 65 L/min, respectively, have also been reported for different DPIs.9,16,17 The majority (87–100%) of patients with stable COPD or who have experienced an acute COPD exacerbation can achieve an inhaler-specific PIF ≥30 L/min.18–20 Additionally, a previous clinical trial demonstrated that the lowest PIF value obtained through the moderate resistance of the ELLIPTA DPI (two-strip configuration) was 43.5 L/min in a patient with very severe COPD, and the highest value of 123.6 L/min in a patient with mild COPD.14 Subsequent use of these profiles using the Electronic Lung, a breathing simulator designed for characterizing inhalation devices through replication of patient-specific inhalation profiles, demonstrated consistent dose delivery (ranging from 82.7% to 95.5% of nominal blister content) of each component of fluticasone furoate/umeclidinium/vilanterol (FF/UMEC/VI) triple therapy with little dependence on PIF.21 Furthermore, each component of FF/UMEC/VI has also been shown to be delivered consistently in vitro through the ELLIPTA inhaler at flow rates ranging from 30, 60 and 90 L/min (standard impactor conditions).22,23 Together, this suggests that nearly all patients should receive sufficient dose delivery through the ELLIPTA DPI. We report here novel analyses of data from large scale randomized controlled trials (RCTs) and real-world clinical practice confirming these results.

The 207608 (NCT03478683) and 207609 (NCT03478696) studies demonstrated that FF/UMEC/VI triple therapy was non-inferior to budesonide/formoterol plus tiotropium at improving lung function and health status, with a similar safety profile, in patients with COPD.24 These studies provide a useful clinical trial population in which to examine the relationship between spirometric PIF and treatment outcomes. As results from RCTs may not always reflect clinical practice,25 the comparison with patients from a real-world population database will be informative to assess the applicability of the clinical trial outcomes to real-world clinical practice settings, as reported here.

The objective of this post hoc analysis of studies 207608/207609 and a real-world population of patients with COPD was to determine the distribution of spirometric PIFs and the similarity between the RCT and real-world populations. A further objective was to assess any potential relationship between spirometric PIF and lung function response to treatment in patients with COPD in the RCTs.

Materials and Methods

Clinical Studies 207608 and 207609

The clinical studies 207608 (NCT03478683) and 207609 (NCT03478696) were replicate Phase IV, 12-week, randomized, double-blind, parallel-group, multicenter, non-inferiority trials evaluating once-daily FF/UMEC/VI 100/62.5/25 µg (delivered dose: 92/55/22 µg) triple therapy delivered via the ELLIPTA DPI versus twice-daily budesonide/formoterol 200/6 µg (total delivered dose: 320/9 µg) delivered via an MDI plus once-daily tiotropium 18 µg (BUD/FOR+TIO) delivered via the HandiHaler in patients with COPD.24 The design of these studies, including the inclusion/exclusion criteria, have been described previously.24 In brief, eligible patients were outpatients ≥40 years of age with an established history of COPD, a COPD Assessment Test (CAT) score of ≥10 and a post-bronchodilator FEV1 <50% predicted, or <80% predicted with ≥2 moderate or ≥1 severe exacerbation within the previous year. Patients needed to show compliance with the inhaler during the run-in period, but there were no protocol-defined exclusion criteria pertaining to screening PIF values or inhaler technique.

PIF was measured by routine spirometry at screening. All spirometry measurements were taken using standardized spirometry equipment (ERT) and electronic clinical assessments. Prior to spirometric PIF testing, patients were required to withhold their morning dose of COPD therapy, including rescue albuterol, for ≥4 hours. Spirometric PIF was then assessed 10 minutes prior to pre-bronchodilator spirometry. Patients engaged with the mouthpiece of the spirometer with nose clip on and continued tidal breathing until relaxed. At least three and no more than eight complete maximal flow volume loops were obtained for each patient, with the highest PIFR measurement recorded being reported for each patient.

Kaiser Permanente Northwest Database

Kaiser Permanente Northwest (KPNW) is a group-model, managed care organization, which provides care to approximately 600,000 insured members in Northwest Oregon and Southwest Washington, USA. KPNW employs a fully electronic medical record, which is then used to populate administrative and clinical databases; these databases are available for use in approved research studies.

In the current retrospective, longitudinal analysis, patients in the KPNW database were included if they were ≥40 years of age, classified as having COPD based on a COPD-related diagnosis code at ≥2 outpatient visits within 12 months or ≥1 inpatient visit between January 1, 2008 and December 31, 2017, and had recorded ≥1 lung function test and PIF measurement, at a non-exacerbating time, between January 1, 2015 and December 31, 2017. Patients were also required to be enrolled in the health plan for ≥10 months out of the year prior to inclusion.

All lung function testing was conducted in the outpatient setting. The most recent spirometric PIF for each patient was used in the analysis. As in the 207608/207609 studies, the spirometric PIF was recorded, derived from a normal spirometry procedure without superimposed flow resistance to simulate inhaler physics. As per the American Thoracic Society Guidelines,26 PIF was recorded as part of flow-volume manoeuvre with a maximal inhalation encouraged.

Spirometric PIF Distribution and Association with Treatment Outcomes

The distribution of measured spirometric PIF data was analyzed post hoc in the screening population from studies 207608/207609 and retrospectively in all patients included from the KPNW database, by graphical and descriptive analysis.

The estimated PIFR achieved through the moderate-resistance ELLIPTA DPI was calculated from the measured spirometric PIF using an equation developed based on data from two previous studies in patients with COPD of all severities (RES113817/RES117178) ().7 The proportions of patients with a spirometric PIF ≥50 L/min were assessed in the pooled 207608/207609 population and the KPNW population. Spirometric PIF ≥50 L/min was estimated to be equivalent to a lower 90/95% bound ELLIPTA PIF ≥30 L/min (that is, a 95% confidence that 90% of the population has ELLIPTA PIF ≥30 L/min). This value was shown in vitro to be adequate for appropriate dose delivery.22,27 In the RES113817/RES117178 studies,14 from a total of 18 patients who had very severe COPD according to GOLD staging criteria, the minimum ELLIPTA PIF recorded from a patient was 43.5 L/min (two-strip configuration). This same patient achieved a spirometric PIFR of 102.0 L/min, which based on the derived relationship between ELLIPTA and spirometric PIFR is estimated to be equivalent to an ELLIPTA PIFR of ~37.7 L/min (90/95% lower bound) ().

The association between spirometric PIF and the percentage predicted FEV1 at screening in the 207608/207609 pooled population was investigated. As patients randomized to treatment in the 207608/207609 studies demonstrated a similarly wide range of spirometric PIF values as patients who failed screening, patients with low spirometric PIF values were included in the intent-to-treat (ITT) population and analyses of treatment outcomes.

Post hoc testing of the interaction between spirometric PIF values at routine screening and treatment was conducted for four key lung function endpoints after 12 weeks of treatment in the pooled 207608/207609 ITT population. The key lung function outcomes assessed were the 0–24-hour weighted mean FEV1, trough FEV1, 12-hour FEV1 and the ratio of Week 12 to baseline trough FEV1. Interaction testing was conducted using a repeated measures model with covariates of study, baseline value, visit, geographical region, treatment, visit by treatment, visit by baseline interactions, PIF by treatment and PIF by treatment by visit interactions. Evidence of an interaction was assessed at the 5% significance level.

Results

Study Population and Baseline Demographics

In total, 1951 patients had spirometric PIF measurements taken at screening in studies 207608/207609. The pooled 207608/609 ITT population comprised 1460 patients, 729 who received FF/UMEC/VI and 731 who received BUD/FOR+TIO.24 A total of 3282 patients in the KPNW database were included in the analysis.

Compared with the KPNW cohort, the pooled 207608/207609 clinical study population were younger (65.2 vs 68.4 years), with a lower body mass index (BMI) (28.5 vs 30.1 kg/m2) and greater lung function impairment (as evidenced by greater proportions of patients with severe or very-severe airflow limitation [Global Initiative for Obstructive Lung Disease (GOLD) stage 3/4]28) (Table 1). Mean (standard deviation) screening spirometric PIF was 199.1 (78.6) vs 230.2 (89.7) L/min for patients in the pooled 207608/207609 and KPNW populations, respectively. There were also greater proportions of current smokers, patients with a history of ≥1 moderate or severe exacerbations in the past year, and patients receiving triple or dual therapies for COPD in the clinical studies compared with the real-world population (Table 1). In the 207608/207609 clinical studies, the baseline demographics and characteristics were similar in the FF/UMEC/VI and BUD/FOR+TIO treatment arms ().

Table 1

Baseline Patient Characteristics and Demographics

	207608/207609 (ITT Population; N=1460)	KPNW (N=3282)
Age, years, mean (SD)	65.2 (8.1)	68.4 (9.9)
Female, n (%)	703 (48.2)	1533 (46.7)
BMI, kg/m2, mean (SD)	28.5 (7.1)	30.1 (7.6)
Current smoker, n (%)	714 (48.9)	1198 (36.5)
COPD exacerbations in the previous 12 months, n (%)a
0 moderate/severe	675 (46.2)	2458 (74.9)
≥1 moderate	690 (47.3)	764 (23.3)
≥1 severe	175 (12.0)	60 (1.8)
Screening lung function	n=1455
Post-BD FEV1 (L), mean (SD)	1.2 (0.4)b	1.9 (0.7)
PIF (L/min), mean (SD)	n=1386 199.1 (78.6)	230.2 (89.7)
GOLD grade, n (%)
1 (FEV1 >80%)	0 (0)	516 (16)
2 (FEV1 50–<80%)	313 (22)	1431 (44)
3 (FEV1 30–<50%)	902 (62)	514 (16)
4 (FEV1 <30%)	240 (16)	74 (2)
COPD medications at screening, n (%)c
ICS + LAMA + LABA	443 (30)	602 (18)
ICS + LABA	496 (34)	409 (13)
LABA + LAMA	223 (15)	8 (<1)
LAMA	110 (8)	1171 (36)

Notes: aAs some patients in 207608/207609 recorded both moderate and severe exacerbations in the prior 12 months, the total percentage exceeds 100%; bpost-bronchodilator value; cadditional COPD medications at screening in 207608/207609 included LABA and ICS monotherapies, ICS + LABA + LAMA + PDE4 inhibitor and ICS + LABA + LAMA + xanthine combination therapies and “other”; in KPNW, additional COPD medications included LABA and ICS monotherapies.

Abbreviations: BD, bronchodilator; BMI, body mass index; COPD, chronic obstructive pulmonary disease; FEV1, forced expiratory volume in 1 second; ICS, inhaled corticosteroid; ITT, intent-to-treat; KPNW, Kaiser Permanente Northwest; LABA, long-acting β2-agonist; LAMA, long-acting muscarinic antagonist; PDE4, phosphodiesterase 4; PIF, peak inspiratory flow; SD, standard deviation.

Spirometric PIF Distributions in 207608/207609 Clinical Studies and KPNW

There was considerable overlap between the spirometric PIFR distributions in the 207608/207609 clinical studies and the KPNW population (Figure 1).

Figure 1

Distribution and range of spirometric PIF values at screening in studies 207608/207609 and in KPNW. *Spirometric PIF 50 L/min, estimated to be equivalent to an ELLIPTA PIF of ≥30 L/min; †Spirometric PIF 102 L/min, which was the recorded spirometric value in the patient with the lowest recorded ELLIPTA PIF (43.5 L/min) in the RES113817/RES117178 studies (two-strip configuration). Estimation of ELLIPTA PIF is based on the equation derived from the RES113817/RES117178 studies, where estimations of below 43.5 L/min are based on extrapolation from spirometric PIF values below the observed minimum of 83.4 L/min. Extrapolating to 50 L/min spirometric PIF, there is 95% confidence that 90% of the population has at least 30 L/min ELLIPTA PIF (lower tolerance bound).

In total, 99.7% (n=1945) of patients in the 207608/207609 pooled screening population and 99.8% (n=3277) of patients in the KPNW population had a spirometric PIF ≥50 L/min, estimated to correspond to an ELLIPTA PIF of approximately ≥30 L/min (lower tolerance bound, by use of the equation).

No correlation between spirometric PIF and the percentage predicted FEV1 at screening was evident in the 207608/207609 pooled population (Figure 2).

Figure 2

Relationship between spirometric PIF and post-bronchodilator percent predicted FEV1 at screening in pooled 207608/207609 population.

Relationship Between Spirometric PIF and Clinical Outcomes in the Pooled 207608/207609 Population

In the pooled 207608/207609 population, there was no statistically significant interaction between spirometric PIF and treatment for any of the four lung function endpoints at Week 12 (0–24-hour weighted mean FEV1, trough FEV1, 12-hour FEV1 and the ratio of Week 12 to baseline trough FEV1; p values for interactions >0.05) (Table 2), indicating the treatment effect is not dependent on PIF. Scatter plots also showed no association between spirometric PIF and the change from baseline at Week 12 in weighted mean FEV1 (0–24 hours) (r = −0.037; Figure 3A) or trough FEV1 (r = −0.028; Figure 3B).

Table 2

Interactions Between Spirometric PIF at Screening and Treatment for Lung Function Endpoints in 207608/207609 Studies

Week 12 Lung Function Endpoint	p-value for Interaction of Treatment with PIF at Screening
Weighted mean FEV1 (0–24 hours)	0.415
Trough FEV1	0.091
12-hour FEV1	0.162
Trough FEV1 Week 12 to baseline ratio	0.275

Notes: Analysis performed using a repeated measures model with covariates of study, baseline value, visit, geographical region, treatment, visit by treatment and visit by baseline interactions with additional terms for PIF, PIF by treatment and PIF by treatment by visit interactions.

Abbreviations: FEV1, forced expiratory volume in 1 second; PIF, peak inspiratory flow.

Figure 3

Relationship between spirometric PIF at screening and lung function outcomes in pooled 207608/207609 population. (A) Change from baseline in weighted mean FEV1 at Week 12 and (B) trough FEV1 at week 12.

Discussion

In this analysis of clinical trial and real-world populations of patients with a wide range of COPD severities, a large distribution of spirometric PIF values were observed, with similarities and considerable overlap in the spirometric PIF distributions for the two populations. In addition, no clear association between spirometric PIF and post-treatment lung function outcomes was observed in the clinical trial population demonstrating flow-independent dose delivery. Despite patients enrolled in 207608/207609 having more severe COPD than those in the KPNW database, the overlap in spirometric PIF distributions between the two populations suggests that the patients enrolled in 207608/207609 studies would be able to achieve inhaler-specific PIFs similar to those in the real-world COPD population. This similarity should reassure clinicians as to the clinical validity of the results seen between spirometric PIF and post-treatment lung function outcomes in the 207608/207609 population.

The distributions of spirometric PIF values at screening in the clinical trials and in the real-world population show that over 99% of patients had a spirometric PIF ≥50 L/min. Based on the derived equation used, nearly all of these patients are estimated to achieve an ELLIPTA PIFR of ≥30 L/min (lower tolerance bound). In vitro, under standardized test conditions, a flow rate of 30 L/min through the ELLIPTA DPI achieved mean delivered doses of FF, UMEC and VI that were 95.6%, 92.5% and 91.5% of their target delivery doses of 92, 55 and 22 µg, respectively.22 In the context of these in vitro results, the current data suggest that almost all patients in the 207608/207609 and KPNW populations had sufficient inspiratory effort to achieve PIF values associated with efficient dose delivery through the ELLIPTA DPI, close to target delivery doses.

In clinical inhalation profiling studies (RES113817/RES117178), the lowest individual value for ELLIPTA PIF for the two-strip configuration was observed in a patient with very severe COPD and was 43.5 L/min.14 The absence of patients with a PIF <43.5 L/min in the presence of moderate resistance in the RES113817/RES117178 studies, is, in the authors’ opinion, likely due to the rarity of these patients in the general population. Data from an in vitro study using the Electronic Lung breathing simulator, demonstrated that 92.7–95.5% (FF), 86.8–89.2% (UMEC), and 82.7–86.8% (VI) of the nominal blister content of FF/UMEC/VI (100/62.5/25µg) was delivered when analyzed across the PIFR range 43.5–129.9 L/min, representative or inclusive of patients with COPD of all severities.21

No correlation between spirometric PIF and post-bronchodilator percentage predicted FEV1 in the 207608/207609 studies was evident. This suggests that even patients with very severe airflow limitation may have PIF values associated with efficient dose delivery, and that baseline FEV1 is not an appropriate measure for excluding patients from using a DPI. The physiological phenomenon behind this discrepancy between flow rates in inhalation versus exhalation is commonly referred to as dynamic compression. There was no apparent difference in the range of spirometric PIF values between patients in 207608/207609 randomized to receive treatment (ITT population) and those who failed screening, indicating that patients with low PIF were not selectively excluded from the ITT population.

The GOLD treatment strategy document emphasizes the importance of education and training in inhaler device technique, as well as noting that a patient’s ability must also influence the choice of inhaler.28 The In-Check DIAL device is an inhalation training meter system that simulates the internal resistance of common inhalers to help assess and educate patients on achieving the proper inhalation technique for any inhaler.29,30 When deciding whether to treat patients with DPI inhalers, clinicians may use the In-Check DIAL to measure a patient’s PIF against the simulated resistance of the DPI to determine if the patient is able to achieve adequate PIF for efficient dose delivery, with an opportunity to re-educate the patient on the correct inhalation technique needed for that inhalation device.29,31 Despite training, DPIs may not be suitable for every patient due to various patient-specific physiological parameters, and in such instances those patients will need to use an alternative delivery system for their COPD medications. Previously, concerns have been raised regarding the efficacy of treatments delivered through DPIs in patients with COPD who achieve a PIF <60 L/min, with or without device-specific resistance based on trials and retrospective analyses with small sample sizes.6,8,9,15,32 For example, in one study of 123 patients hospitalized and in an acute exacerbation of COPD care plan, 52% had PIF of <60 L/min in the absence of resistance and these patients had high rates of 90-day readmission for COPD, days to all-cause mortality, and days to COPD readmissions32 However, a recent study comparing the PIF generated from patients with moderate-to-very-severe COPD through three types of DPI, found that patients produced mean PIF values ≥60 L/min for two of the three DPIs tested, with values of 108±23 and 78±15 L/min recorded for the Breezhaler and the ELLIPTA, respectively. This provides further support that patients using ELLIPTA are able to achieve a PIF that should not negatively impact the effectiveness of inhalation therapy.33 The results presented in this post hoc analysis of two large RCTs including 1945 patients, show that nearly all patients achieved sufficient PIF and consequently there was no association between spirometric PIF and lung function outcomes, as measured by change from baseline in weighted mean FEV1 (0–24 hours) and trough FEV1 in the 207608/207609 studies, for either triple-therapy treatment group. A wide distribution of outcome values by spirometric PIF was also seen for both FF/UMEC/VI delivered via the moderate-resistance ELLIPTA DPI and BUD/FOR + TIO delivered by an MDI (with very low resistance) and the moderate–high-resistance Turbuhaler DPI, respectively. Furthermore, there was no evidence of a treatment interaction between lung function outcomes at Week 12 and spirometric PIF. These findings suggest that treatment efficacy with inhaled corticosteroid/long-acting muscarinic antagonist/long-acting β2-agonist triple therapy does not correlate with a patient’s inspiratory effort and that patients’ are able to receive efficient dose delivery regardless of the type of inhaler used. Furthermore, these data support the in vitro evidence of dose delivery through the ELLIPTA DPI being independent of PIF across the wide range investigated.7,22,27 The lack of association between spirometric PIF and treatment, together with the analysis of the spirometric PIF distribution graphs, indicates that nearly all patients enrolled in the 207608/207609 studies were able to achieve inspiratory flow rates that result in efficient dose delivery from a DPI. In addition, the consistency between the spirometric PIF distributions in the pooled 207608/207609 population and the real-world KPNW population further suggests that the majority of patients with COPD in clinical practice are able to achieve the inspiratory effort required for dose emission and aerosolization from a DPI.

Published clinical studies assessing the relationship between either spirometric or inhaler-specific PIF and lung function are limited.18,32,34 In a study in patients with COPD who achieved a PIF <60 L/min against the resistance of the Diskus DPI, no significant difference in the improvement in trough FEV1 was observed between nebulized delivery of the bronchodilator revefenacin, and DPI-administration of the bronchodilator TIO.34 In a post hoc analysis based on device-specific PIF quintiles, there was suggestion of a greater benefit of nebulization versus DPI in one of the quintiles (device-specific PIF >33–<45 L/min) in the ITT population; however, substantial variability in all quintiles was noted and patient numbers were low.34 In an observational study of patients hospitalized for a COPD exacerbation, patients with PIF <60 or ≥60 L/min (assessed with the InCheck DIAL set to simulate the resistance of the Diskus DPI) had similar all-cause rehospitalization rates during the 180-day follow-up period, although the authors noted the small patient samples and the need for larger studies to evaluate the impact of PIF on rehospitalizations.18 Conversely, in a retrospective analysis of hospitalized patients enrolled in an acute exacerbation COPD care plan, suboptimal PIF, defined as <60 L/min against no resistance, was associated with higher rates of 90-day rehospitalization and days to all-cause or COPD rehospitalization.32 However, PIF was measured against no resistance in this study because not all patients were discharged with DPIs; the authors acknowledged this to be a study limitation and to preclude easy comparisons with other studies. In addition, the complex process leading to COPD rehospitalizations was highlighted, together with the factors unaccounted for, such as socioeconomic factors, healthcare and medication compliance, healthcare access and other significant comorbidities.32

Limitations of the current analysis include the relatively short duration of the 207608/207609 clinical studies (12 weeks) and the general difficulties in accurately recording spirometric inspiratory flow; however, the completion of at least three acceptable spirometric PIF measurements to obtain the value reported, was in accordance with results from a previous investigation into repeatability limits of PIF testing.35 The relatively small proportion of patients with FEV1% predicted <30% precluded further analysis of these patients, who may represent those patients that would be at greatest risk for reduced PIF. The KPNW inclusion criterion requiring patients to have consistent use of the health system and healthcare insurance may have reduced applicability of the results to patients who do not routinely access healthcare or have no or low levels of healthcare insurance. A further limitation of this study is the lack of factors, other than inspiratory effort, included in the analysis that may affect PIF and therefore may limit the impact of this analysis. It is known that physical and mental capabilities, such as arthritis, dementia and cognitive function, as well as respiratory muscle weakness may all influence PIF, and some of these factors may make treatment with a nebulizer rather than a DPI inhaler more suitable for some patients.31,36 Factors that were not accounted for in this analysis, such as gender, height and age have also been suggested as risk factors for low PIF.8,18 Furthermore, elements of inhaler technique that are known to relate to problems with inspiratory flow, such as adequate breath hold, were not explored in this analysis.28,37 Finally, inspiratory maneuvers performed based on coached spirometry may differ from efforts used by patients during routine drug inhalation through a DPI, for example usually only one attempt is made at inhalation from an inhaler rather than multiple attempts as used in this study. It should also be noted that, although training in inhaler device technique is emphasized in the GOLD treatment strategy document, not all patients in a “real world” setting may have access to such coaching.28,38 The key strengths of this analysis are the large sizes of the populations from pooled clinical trials and a real-world database, the similarity in spirometric PIF distributions between these two populations and the use of available data from routine spirometry rather than measured device-dependent inhalation profiles. This analysis has demonstrated a novel observation through the interaction testing of PIF and four different well-established lung function parameters demonstrating no relationship and this finding is relevant to helping physicians further clarify the absence of a role of PIF and lung function improvements.

Conclusion

In conclusion, nearly all patients enrolled in the 207608/207609 studies and observed in a real-world database demonstrated spirometric PIF values that were estimated to be equivalent to ELLIPTA PIF values previously shown to result in efficient and consistent in vitro drug delivery. The lack of correlation between spirometric PIF and treatment efficacy supports the largely flow-independent dose delivery of FF/UMEC/VI from the ELLIPTA DPI across a wide range of PIFs representative of patients with COPD of all severities. Future research should be directed at longer-term studies assessing patient PIF and clinical outcomes.