Literature DB >> 21272339

Reduction of exacerbations by the PDE4 inhibitor roflumilast--the importance of defining different subsets of patients with COPD.

Stephen I Rennard1, Peter M A Calverley, Udo M Goehring, Dirk Bredenbröker, Fernando J Martinez.   

Abstract

BACKGROUND: As chronic obstructive pulmonary disease (COPD) is a heterogeneous disease it is unlikely that all patients will benefit equally from a given therapy. Roflumilast, an oral, once-daily phosphodiesterase 4 inhibitor, has been shown to improve lung function in moderate and severe COPD but its effect on exacerbations in unselected populations was inconclusive. This led to the question of whether a responsive subset existed that could be investigated further.
METHODS: The datasets of two previous replicate, randomized, double-blind, placebo-controlled, parallel-group studies (oral roflumilast 500 μg or placebo once daily for 52 weeks) that were inconclusive regarding exacerbations were combined in a post-hoc, pooled analysis to determine whether roflumilast reduced exacerbations in a more precisely defined patient subset.
RESULTS: The pooled analysis included 2686 randomized patients. Roflumilast significantly decreased exacerbations by 14.3% compared with placebo (p = 0.026). Features associated with this reduction were: presence of chronic bronchitis with or without emphysema (26.2% decrease, p = 0.001), presence of cough (20.9% decrease, p = 0.006), presence of sputum (17.8% decrease, p = 0.03), and concurrent use of inhaled corticosteroids (ICS; 18.8% decrease, p = 0.014). The incidence of adverse events was similar with roflumilast and placebo (81.5% vs 80.1%), but more patients in the roflumilast group had events assessed as likely or definitely related to the study drug (21.5% vs 8.3%).
CONCLUSIONS: This post-hoc, pooled analysis showed that roflumilast reduced exacerbation frequency in a subset of COPD patients whose characteristics included chronic bronchitis with/without concurrent ICS. These observations aided the design of subsequent phase 3 studies that prospectively confirmed the reduction in exacerbations with roflumilast treatment. TRIALS REGISTRATION: ClinicalTrials.gov identifiers: NCT00076089 and NCT00430729.

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Year:  2011        PMID: 21272339      PMCID: PMC3040135          DOI: 10.1186/1465-9921-12-18

Source DB:  PubMed          Journal:  Respir Res        ISSN: 1465-9921


Background

Chronic obstructive pulmonary disease (COPD) is a highly prevalent condition and a major cause of morbidity and mortality worldwide [1-3]. As the disease progresses, patients with COPD report more frequent exacerbations, which are associated with an increased mortality risk and greater health care utilization, hospital admissions and costs [4]. Worse, frequent exacerbations are associated with a faster decline in lung function and increased mortality [5]. Phosphodiesterase 4 (PDE4) inhibitors are effective anti-inflammatory agents in animal models and have been shown to reduce markers of inflammation in COPD [6,7]. In a 6-month study in patients with moderate-to-severe COPD (post-bronchodilator mean forced expiratory volume in 1 second [FEV1] 54% predicted [8]), the PDE4 inhibitor roflumilast improved lung function and reduced exacerbations [9]. This led to two subsequent 12-month studies (M2-111, reported here for the first time, and M2-112 [10]) in patients with severe-to-very-severe COPD, which confirmed the positive effect of roflumilast on lung function. Although neither study demonstrated a significant effect on exacerbations, which was a co-primary endpoint, a trend towards lower overall exacerbation rates with roflumilast was seen in each study. As COPD is a highly heterogeneous disease [11], the possibility that a subset of the COPD population might be more responsive to roflumilast-induced reduction in exacerbations was entertained. To test this hypothesis, the results from the two 12-month studies, that were inconclusive with regard to exacerbations, were pooled and a series of post-hoc analyses performed. The results of these analyses are presented in the current report. The heterogeneity of the COPD patient population is well recognized. However, clinically meaningful subsets of patients with COPD have been difficult to define and several large observational studies are currently underway to attempt to address this problem [12-14]. The current post-hoc analysis of pooled clinical trial data was conducted in order to define a subset of patients with COPD who are likely to respond to a specific therapy - a 'hypothesis-generating' exercise that has been confirmed in subsequent clinical trials [15]. The approach described in the current study may be applicable to define other meaningful subsets of patients with COPD.

Methods

Patients and study design

M2-111 was conducted between December 2003 and December 2005 in 188 centers in 6 countries, and M2-112 between January 2003 and October 2004 in 159 centers in 14 countries. Full details of the methodology, patient selection and efficacy assessments have been published previously for M2-112 [10]. (For details of the clinical design of both trials, and a CONSORT diagram for the unpublished study M2-111, see Additional file 1, Appendix 1, and Additional file 1, Figure S1). The studies were approved by local ethical review committees (see Additional file 1, Appendix 2 for a list of committee names and approval numbers) and performed in accordance with the Declaration of Helsinki and Good Clinical Practice Guidelines.

Statistical analysis

The statistical analysis was performed as described previously [10] with some modifications (i.e., all data were re-analyzed based on the methods used in two other 52-week studies) [15]. The primary endpoint (pre-bronchodilator FEV1) and main secondary lung function endpoint (post-bronchodilator FEV1) were evaluated using a repeated measures analysis of covariance (ANCOVA, mixed effects model). This model is able to handle missing data points by taking into account all available data from scheduled visits of the treatment period and the correlation in repeated measurements. The co-primary endpoint of rate of moderate or severe exacerbations per patient per year was defined by the need for oral or parenteral corticosteroid treatment, hospitalization, or death, and was evaluated using a Poisson regression model with a correction for over-dispersion. The natural logarithm of the trial duration, in terms of years, was included in this model as an offset variable to correct for the time a patient participated in the trial. Rate ratios from this model were expressed as percent reductions. Time to onset of exacerbations was analyzed using a Cox proportional hazards regression model. For the regression models (ANCOVA, Poisson, and Cox), the covariates included treatment (roflumilast/placebo), age, sex, smoking status (current/former smoker), study, concomitant treatment with inhaled corticosteroids (ICS) and country pool (only for the overall population). In the Poisson regression analysis, baseline post-bronchodilator FEV1 (% of predicted value) was also included as a covariate. Adverse events were analyzed using descriptive statistics. Data are presented as mean and standard deviation (SD), unless otherwise indicated. Safety endpoints were analyzed using descriptive statistics. Results are presented as mean ± SD or standard error (SE) as appropriate, with data derived from the statistical modeling being adjusted means. All p values are reported two-sided with a level of significance of 0.05. To identify subpopulations, the two primary endpoints were analyzed additionally in subgroups stratified by sex, smoking status, concomitant use of ICS, concomitant use of anticholinergics, study completion status, COPD severity (severe, very severe), history of chronic bronchitis or emphysema (investigator-diagnosed), as well as cough and sputum score during the week before randomization.

Results

Patients

Of 3630 patients enrolled into the run-in period, 2686 patients met the inclusion criteria and were randomized to treatment; 1905 patients completed the studies (Figure 1). The reasons for withdrawal were similar between groups except for adverse events, which occurred more frequently with roflumilast.
Figure 1

Trial profiles of M2-111 and M2-112. Percentages are based on the number of randomized patients in a treatment group.

Trial profiles of M2-111 and M2-112. Percentages are based on the number of randomized patients in a treatment group. Demographics and baseline characteristics of the randomized patients were comparable between treatments (Table 1). Patients were predominantly male, and spirometric severity was consistent with severe-to-very-severe disease [8]. FEV1 reversibility to short-acting β2-agonists was similar in both treatment groups. As the inclusion criterion of FEV1 reversibility to short-acting β2-agonists ≤15% was defined only in study M2-112, mean reversibility was lower in M2-112 (11%) than in M2-111 (19%). All other demographic and baseline characteristics were comparable (or with only small differences not considered clinically relevant) between the two studies. On study entry and during the course of the studies, about 60% of the patients continued to receive ICS, while 60% continued to receive short-acting anticholinergics (Table 1).
Table 1

Demographics and baseline characteristics

Pooled study populationM2-111M2-112

CharacteristicsRoflumilastPlaceboRoflumilastPlaceboRoflumilastPlacebo
No. of patients13271359567606760753

Age (years)64.7 (9.2)64.4 (8.9)64 (8.7)64 (8.8)65 (9.6)64 (9.1)

Male sex, n (%)958 (72.2)974 (71.7)387 (68.3)400 (66.0)571 (75.1)574 (76.2)

Body mass index, kg/m225.7 (5.3)25.7 (5.4)26.0 (5.7)25.8 (5.7)25.4 (5.0)25.6 (5.1)

Smoking status
 Current smokers, n (%)529 (40)530 (39)240 (42)265 (44)289 (38)265 (35)
 Former smokers, n (%)798 (60)829 (61)327 (58)341 (56)471 (62)488 (65)
 Pack-years (± SD)46 (25.6)48 (26.6)50 (28.2)51 (26.7)42 (22.9)45 (26.2)

Pre-bronchodilator FEV1 (L)1.0 (0.4)1.0 (0.3)0.96 (0.4)0.93 (0.3)1.04 (0.4)1.06 (0.3)

Post-bronchodilator FEV1 (L)1.13 (0.4)1.13 (0.4)1.12 (0.4)1.09 (0.4)1.13 (0.4)1.15 (0.4)

Post-bronchodilator FEV1 (% predicted)37.1 (10.5)36.8 (9.9)36.8 (10.7)36.1 (9.7)37.3 (10.3)37.3 (9.9)

Reversibility:
 Change in FEV1 (mL)126.9 (140.1)125.8 (149.1)165.6 (142.8)160.9 (150.0)98.1 (130.9)97.6 (142.4)
 Change in FEV1 (%)14.6 (16.4)14.4 (16.4)19.4 (17.1)19.1 (17.6)11.0 (14.8)10.6 (14.4)

FEV1/FVC (%)41.8 (11.3)41.8 (10.7)43.3 (10.7)43.1 (10.1)40.6 (11.5)40.7 (11.2)

COPD severity, n (%)
 Very severe COPD329 (24.8)345 (25.4)148 (26.1)169 (27.9)181 (23.8)176 (23.4)
 Severe COPD864 (65.1)909 (66.9)356 (62.8)399 (65.8)508 (66.8)510 (67.7)

COPD history, n (%)
 Emphysema352 (26.5)413 (30.4)193 (34.0)234 (38.6)159 (20.9)179 (23.8)
 Chronic bronchitis ± emphysema817 (61.6)847 (62.3)374 (66.0)372 (61.4)443 (58.3)475 (63.1)

Pre-study medication for COPD, n (%)*1273 (96)1291 (95)537 (95)557 (92)736 (97)734 (98)
 Inhaled short-acting β agonists729 (55)734 (54)315 (56)333 (55)414 (55)401 (53)
 Inhaled corticosteroids579 (44)588 (43)218 (38)225 (37)361 (48)363 (48)
 Inhaled short-acting anticholinergics549 (41)570 (42)189 (33)192 (32)360 (47)378 (50)
 Inhaled long-acting β2-agonists353 (27)379 (28)143 (25)140 (23)210 (28)239 (32)
 Xanthines320 (24)316 (23)113 (20)118 (20)207 (27)198 (26)
 Inhaled combination of β2-agonists and short-acting anticholinergics323 (24)314 (23)168 (30)174 (29)155 (20)140 (19)
 Inhaled combination of corticosteroids and long-acting β2-agonists260 (20)263 (19)131 (23)139 (23)129 (17)124 (17)

Concomitant short-acting anticholinergics, n (%)786 (59)818 (60)334 (59)350 (58)452 (60)468 (62)

Concomitant inhaled corticosteroids, n (%)809 (61)813 (60)328 (58)332 (55)481 (63)481 (64)

Data are expressed as mean (SD), unless otherwise stated.

* Patients could have received more than one of these medications.

Demographics and baseline characteristics Data are expressed as mean (SD), unless otherwise stated. * Patients could have received more than one of these medications.

Exacerbations

The rate of moderate-to-severe exacerbations in the pooled analysis was 14.3% lower with roflumilast compared with placebo (0.52 vs 0.61 exacerbations per year; p = 0.026, Table 2 and Figure 2). However, the median time to first moderate or severe exacerbation was comparable in the roflumilast and placebo groups (120 and 126 days, respectively, p = 0.236).
Table 2

Analysis of exacerbations (moderate to severe)

RoflumilastPlaceboEffect size

CharacteristicnRatenRateRate ratio (SE)Change (%)p value
 M2-1115670.5956060.6920.860 (0.085)-14.00.129
 M2-1127600.4557530.5370.848 (0.081)-15.20.085

Pooled results

Overall13270.52313590.6100.857 (0.059)-14.30.026

Sex
 Female3690.6123850.6480.943 (0.117)-5.70.637
 Male9580.4959740.6090.813 (0.071)-18.70.018

Smoking status
 Current smoker5290.5295300.6430.823 (0.094)-17.70.086
 Former smoker7980.5688290.6630.857 (0.078)-14.30.092

Concomitant treatment
 ICS8090.7208130.8860.812 (0.068)-18.80.014
 No ICS5180.4245460.4600.923 (0.124)-7.70.550

Concomitant treatment
 Short-acting anticholinergics7860.7068180.8640.817 (0.066)-18.30.012
 No short-acting anticholinergics5410.3685410.3700.995 (0.147)-0.50.974

COPD severity
 Very severe COPD3290.7383450.8850.833 (0.101)-16.70.132
 Severe COPD8640.5269090.6090.864 (0.080)-13.60.113

COPD history
Emphysema3520.5794130.5860.989 (0.120)-1.10.925
Chronic bronchitis ± emphysema8170.4868470.6590.738 (0.068)-26.20.001
Chronic bronchitis ± emphysema with concomitant ICS4920.6084930.8710.698 (0.077)-30.20.001
Chronic bronchitis ± emphysema: no ICS3250.3913540.4620.845 (0.140)-15.50.310

Cough score at Week 0
 ≥ 1 (average/day)8960.5609390.7080.791 (0.067)-20.90.006
 < 1 (average/day)3950.5233850.5081.030 (0.142)3.00.830

Sputum score at Week 0
 ≥ 1 (average/day)8290.5768620.7000.822 (0.074)-17.80.030
 < 1 (average/day)4580.5124600.5490.933 (0.113)-6.70.565

Study completion status
 Completers8940.45310110.5730.790 (0.064)-210.004
 Non-completers4331.1263481.1550.975 (0.113)-2.50.826

Rates (per patient/year), Rate ratio and two-sided p-values (significance level 5%) are based on a Poisson regression model with the following factors and covariates: treatment, age, sex, smoking status, baseline post-bronchodilator FEV1 (% predicted), study, concomitant treatment with ICS and country pool (only for the overall population).

Figure 2

Rate ratios and 95% CIs for reduction in COPD exacerbations with roflumilast by patient subgroup. Error bars represent 95% CIs.

Analysis of exacerbations (moderate to severe) Rates (per patient/year), Rate ratio and two-sided p-values (significance level 5%) are based on a Poisson regression model with the following factors and covariates: treatment, age, sex, smoking status, baseline post-bronchodilator FEV1 (% predicted), study, concomitant treatment with ICS and country pool (only for the overall population). Rate ratios and 95% CIs for reduction in COPD exacerbations with roflumilast by patient subgroup. Error bars represent 95% CIs. There were several subgroups in which the exacerbation rate appeared lower with roflumilast compared with placebo (Table 2), including patients with chronic bronchitis with or without emphysema (26.2% reduction in exacerbation rate vs placebo; p = 0.001). Other subgroups, such as current vs former smokers or those based on spirometrically defined COPD severity, showed no or little difference in the exacerbation rate with roflumilast. Patients receiving concomitant ICS experienced an 18.8% reduction in exacerbations compared with placebo (p = 0.014). Patients not receiving ICS exhibited no clinical benefit compared with placebo (Table 2). A significant reduction in exacerbation rate in favor of roflumilast was also seen in the subgroup of patients receiving concomitant short-acting anticholinergic treatment (18.3%, p = 0.012).

Lung function

Treatment with roflumilast resulted in significant improvement in pre-bronchodilator FEV1 compared with placebo. In the combined analysis, the improvement was evident at Week 4 (first measured time point) and maintained throughout the 52 weeks of the studies. After 52 weeks, the change in pre-bronchodilator FEV1 from baseline with roflumilast versus placebo was 51 mL (SE 7 mL, p < 0.0001), while the change in post-bronchodilator FEV1 with roflumilast vs placebo was 53 mL (SE 8 mL, p < 0.0001) (Figure 3; and see Additional file 1, Table S1). In contrast to the effect on exacerbations, roflumilast consistently showed a significant improvement compared with placebo in pre-bronchodilator FEV1 in all subgroups; the same was seen for post-bronchodilator FEV1 (see Additional file 1, Table S1). In the group of patients with COPD associated with chronic bronchitis or combined emphysema and chronic bronchitis, those patients receiving concomitant ICS showed a greater improvement from baseline with roflumilast vs placebo (see Additional file 1, Table S1).
Figure 3

Differences and 95% CIs between roflumilast and placebo for increase in pre-bronchodilator FEV(L) by patient subgroup. Error bars represent 95% CIs.

Differences and 95% CIs between roflumilast and placebo for increase in pre-bronchodilator FEV(L) by patient subgroup. Error bars represent 95% CIs.

Health status

In the combined analysis, treatment with roflumilast resulted in no significant improvement in St George's Respiratory Questionnaire (SGRQ) total score compared with placebo. In contrast, in the subgroup analysis (Figure 4; and see Additional file 1, Table S2), a significant improvement in SGRQ total score was observed for individuals with chronic bronchitis (p = 0.0265). This difference was also evident in patients with chronic bronchitis who were concurrently treated with ICS (p = 0.0397).
Figure 4

Differences and 95% confidence intervals between roflumilast and placebo for changes in St George's Respiratory Questionnaire (SGRQ) total score by patient subgroup. Error bars represent 95% CIs.

Differences and 95% confidence intervals between roflumilast and placebo for changes in St George's Respiratory Questionnaire (SGRQ) total score by patient subgroup. Error bars represent 95% CIs.

Safety

Adverse events were similar to those reported for roflumilast in previous studies (see Additional file 1, Appendix 3). Importantly, roflumilast (compared with placebo) was not associated with an increase in adverse events in the subgroups that experienced a greater reduction in exacerbations with roflumilast compared with placebo (Table 3; and see Additional file 1, Appendix 3). Concomitant ICS did not affect the adverse event profile of roflumilast.
Table 3

Adverse events

SubgroupAll patientsCOPD historyCB ± emphysema and ICS treatment
EmphysemaCB ± emphysemaWith ICSWithout ICS
Treatment (n)Rof (1327)Pbo (1359)Rof (352)Pbo (413)Rof (817)Pbo (847)Rof (492)Pbo (493)Rof (325)Pbo (354)
Adverse events, n (% of patients)
All adverse events1081 (81.5)1089 (80.1)309 (87.8)344 (83.3)642 (78.6)673 (79.5)402 (81.7)399 (80.9)240 (73.8)274 (77.4)
All serious adverse events263 (19.8)264 (19.4)73 (20.7)81 (19.6)154 (18.8)152 (17.9)112 (22.8)109 (22.1)42 (12.9)43 (12.1)
Adverse events related to study medication285 (21.5)113 (8.3)91 (25.9)39 (9.4)134 (16.4)67 (7.9)77 (15.7)35 (7.1)57 (17.5)32 (9.0)
Adverse events leading to study discontinuation235 (17.7)136 (10.0)52 (14.8)40 (9.7)94 (11.5)56 (6.6)65 (13.2)40 (8.1)29 (8.9)16 (4.5)

Most common adverse events (≥ 5% of patients in any treatment group), %
COPD exacerbation42.948.045.547.743.048.549.854.432.640.4
Diarrhea12.12.918.53.47.13.18.33.25.22.8
Nausea6.01.58.01.94.41.34.71.04.01.7
Weight loss7.52.811.94.16.12.55.31.67.43.7
Nasopharyngitis6.87.47.78.27.57.76.57.38.98.2
Pneumonia2.84.01.72.93.54.14.35.72.52.0
Upper respiratory tract infection5.46.37.49.25.45.54.55.16.86.2
Headache6.93.08.55.35.62.16.12.24.92.0
Influenza4.44.05.45.34.43.74.52.24.35.6

Rof = roflumilast; pbo = placebo

Adverse events Rof = roflumilast; pbo = placebo

Discussion

PDE4 inhibitors have demonstrated an anti-inflammatory effect in animal models and patients with COPD [6,7]. In two previous 12-month studies, in patients with severe-to-very-severe COPD, roflumilast improved lung function, although neither study demonstrated a significant effect on exacerbations [10]. Given the pleiotropic effects of PDE4 inhibition [16], we hypothesized that a roflumilast effect could be present in specific subgroups of patients with COPD. In addition, exacerbation rates in the individual trials were lower than expected. Combining the datasets of the two studies improved statistical power and allowed definition of the patients more likely to respond to roflumilast. In the combined dataset, a significant effect of roflumilast was observed for the entire population but, importantly, the subgroup analysis showed a preferential effect in patients with chronic bronchitis or with high cough or sputum scores in the week prior to randomization, and in patients taking concomitant ICS or anticholinergics. These results suggested that it is possible to identify a subset of patients that is more likely to benefit from roflumilast with regard to reduced exacerbations. In subjects with chronic bronchitis, this post-hoc, pooled analysis suggested a benefit of roflumilast on health status as measured by the SGRQ. The difference, compared with placebo, of -1.073 units did not achieve the conventional minimum important difference of 4 units, but was statistically significant and similar to differences seen between therapy in other 1-year trials [17]. This is consistent with the benefit in SGRQ resulting from the reduction in exacerbations. Interestingly, roflumilast demonstrated a consistent effect on airflow, assessed as both pre- and post-bronchodilator FEV1 across all subgroups. There are several possibilities why the effect on exacerbations may be limited to a subset of patients. First, the subsets may identify those individuals at greater risk for exacerbations. A therapeutic benefit can be observed only if the individuals are at risk. Alternatively, as roflumilast can affect many aspects of the inflammatory response, it is possible that an anti-inflammatory effect, such as reduction in airway edema, may account for the improved airflow and a different mechanism accounts for the reduced exacerbations. The effects seen with roflumilast in symptomatic patients and in patients with chronic bronchitis are comparable with those obtained by ICS/long-acting bronchodilator combination therapy [18-20]. The enhanced benefit of roflumilast in patients with chronic bronchitis is particularly interesting as this phenotype has been shown to be associated with serum markers indicative of increased systemic inflammation [21]. These patients are also at higher risk for mortality at a younger age [21]. The trend for a greater benefit in patients receiving concomitant ICS may be a marker of disease severity. This patient subgroup is at higher risk for exacerbations, indicated by the higher exacerbation rate in the placebo group in ICS-treated patients vs non ICS-treated patients (0.886 vs 0.460). That these individuals had been identified by their clinicians for treatment with ICS suggests that they were recognized as being at risk clinically and that further reductions in exacerbations and improved airflow were observed with roflumilast in this group suggests that a PDE4 inhibitor may add incremental value to ICS therapy. Although the incidence of adverse events was comparable between treatment groups, there were more discontinuations due to adverse events with roflumilast compared with placebo. The majority of adverse events in both groups lasted less than 4 weeks and resolved with continued treatment. The incidence of treatment-related adverse events was low and similar to those reported previously [9,18]. These treatment-related events included diarrhea, nausea, and headache, which are all adverse events known to be associated with PDE4 inhibitors [22]. Weight loss was more frequent with roflumilast treatment. Several serious adverse events and deaths occurred, as would be expected in this patient population. The number of deaths was higher in the placebo group and most fatal events were related to COPD. A slightly higher incidence of adverse events and serious adverse events was seen in patients receiving ICS; this was seen in both the roflumilast and placebo groups. Oropharyngeal adverse events typically associated with ICS treatment, such as oral candidiasis, dysphonia, and pharyngitis, as well as pneumonia, were more frequently reported in patients treated with ICS, but there was no indication that roflumilast increased ICS-associated adverse events. Importantly, subjects with chronic bronchitis who were more likely to benefit from roflumilast did not experience an increased incidence of adverse events. On the contrary, there was a trend for these individuals to have fewer of the adverse events (nausea, diarrhea, and weight loss) that are associated with PDE4 inhibitors. There are limitations to the pooled analysis presented in this manuscript, which includes both fully published and previously unpublished results. The post-hoc nature of the comparisons, particularly those in various subsets, must be interpreted with caution and serve principally as hypothesis generating. However, these results were used to design two additional randomized trials that specifically evaluated patients with severe COPD associated with chronic bronchitis, a group expected to be more likely to experience reductions in exacerbations with roflumilast. In this defined population, a significant beneficial effect of roflumilast compared with placebo in both lung function and exacerbation rate was observed in both studies [15]. In this context, the sequence of studies is crucial. Following a phase 2 trial that showed promising results [9], two 'conventional' 12-month phase 2 trials (Study M2-111, reported here for the first time, and M2-112 [10]) were conducted, both of which showed improvements in FEV1 but demonstrated only a trend toward exacerbation reduction. The pooled analysis presented here demonstrated that a subset of the COPD population appeared to account for all the benefit with regard to exacerbations. This 'hypothesis' formed the basis of two subsequent trials [15] which demonstrated the efficacy of roflumilast for exacerbation reduction in this subset. Novel therapies for COPD are urgently needed [11]. The current manuscript describes the successful use of a strategy for identification of a responding subset from clinical trial data that was then confirmed in two prospective, randomized, placebo-controlled clinical trials. At present, segmentation of meaningful sub-populations of COPD patients is difficult, although several large observational studies are addressing this question. The current study demonstrates that this goal can also be achieved by post-hoc analysis of responses to a clinical intervention.

Conclusions

This post-hoc, pooled analysis of two large-scale trials in patients with severe and very severe COPD showed a significant reduction in exacerbations with roflumilast treatment and identified a subgroup of patients who are most likely to benefit from treatment with roflumilast, namely those patients with chronic bronchitis. In addition there was a greater effect in those patients taking concomitant ICS. Identification of a subgroup of patients more likely to respond to therapy is consistent with the concept that the COPD population includes multiple phenotypes and is a step towards personalized medicine, matching therapy to phenotype [11,23,24]. Importantly, identification of a responding subset can facilitate drug development by increasing the ability of clinical trials to show a benefit. In this regard, the analysis presented in the current report was used to design subsequent clinical trials that have demonstrated the clinical efficacy of roflumilast in reducing COPD exacerbations. This is the first time such an approach has been used successfully to aid a drug development program in COPD.

Abbreviations

ANCOVA: Analysis of covariance; COPD: chronic obstructive pulmonary disease; FEV1: forced expiratory volume in 1 second; ICS: inhaled corticosteroids; PDE4: phosphodiesterase 4; SD: standard deviation; SE: standard error; SGRQ: St George's Respiratory Questionnaire.

Competing interests

SIR has served on advisory boards and as a consultant for Almirall Prodesfarma, Aradigm Corporation; AstraZeneca, Boehringer Ingelheim, Defined Health, Eaton Associates, GlaxoSmithKline, MEDACorp, Mpex Pharmaceuticals, Novartis, Nycomed, Otsuka Pharmaceutical, Pfizer, Pulmatrix, Theravance, United BioSource Corporation, Uptake Medical, and VantagePoint. He has served as a speaker or a member of a speaker's bureau for: AstraZeneca, Novartis, Network for Continuing Education, Pfizer, and SOMA. He has also received research funding from AstraZeneca, BioMarck, Centocor, Novartis, and Nycomed. PMAC has served on advisory boards for AstraZeneca, GlaxoSmithKline, Nycomed, and Novartis. He has received research funding from GlaxoSmithKline, Nycomed, and Boehringer Ingelheim, and has spoken at meetings supported by AstraZeneca, GlaxoSmithKline, and Nycomed. FJM has been a member of advisory boards for GlaxoSmithKline, Schering Plough, Novartis, Nycomed, Genzyme, Forest/Almirall, MedImmune, AstraZeneca, Potomac, Bayer, Elan, Talecris, and Roche. He has been on the speaker's bureau for Boehringer Ingelheim, GlaxoSmithKline, France Foundation, MedEd, NACE, and AstraZeneca. He has also been a member of steering committees for studies supported by Altana/Nycomed, GlaxoSmithKline, Gilead, Actelion, Johnson/Johnson, Mpex, UCB, and the National Institutes of Health. He has been an investigator in trials supported by Boehringer Ingelheim and Actelion. UMG and DB are employees of Nycomed GmbH, Konstanz, Germany.

Authors' contributions

SIR contributed to the conception and design of these studies, the acquisition of study data, and the analysis and interpretation of these data. He was fully involved in the drafting and revision of this manuscript, and provided final approval of its content ahead of submission. PMAC contributed to the conception and design of these studies, the acquisition of study data, and the analysis and interpretation of these data. He was fully involved in the drafting and revision of this manuscript, and provided final approval of its content ahead of submission. U-MG contributed to the conception and design of these studies, the acquisition of study data, and the analysis and interpretation of these data. He was fully involved in the drafting and revision of this manuscript, and provided final approval of its content ahead of submission. He had full access to all of the data in the study and he takes full responsibility for the integrity of all of the data and the accuracy of the data analysis, including and especially any adverse effects. DB contributed to the conception and design of these studies, the acquisition of study data, and the analysis and interpretation of these data. He was fully involved in the drafting and revision of this manuscript, and provided final approval of its content ahead of submission. FJM contributed to the conception and design of these studies, as well as the analysis and interpretation of these data. He was fully involved in the drafting and revision of this manuscript, and provided final approval of its content ahead of submission.

Additional file 1

Appendices 1-3, Table S1, Table S2, and Figure S1. Appendix 1: Trial design; Appendix 2: IRB approval; Appendix 3: Adverse events; Table S1: Lung function results summary table (change in lung function variable after 52 Weeks compared with baseline); Table S2: St George's Respiratory Questionnaire (SGRQ) total score: change after 52 Weeks compared with baseline; Figure S1: Trial profile of M2-111. Click here for file

Additional file 2

List of investigators for Studies M2-111 and M2-112. M2-111 investigators; M2-112 investigators. Click here for file
  24 in total

1.  Impact of preventing exacerbations on deterioration of health status in COPD.

Authors:  S Spencer; P M A Calverley; P S Burge; P W Jones
Journal:  Eur Respir J       Date:  2004-05       Impact factor: 16.671

2.  The many "small COPDs": COPD should be an orphan disease.

Authors:  Stephen I Rennard; Jørgen Vestbo
Journal:  Chest       Date:  2008-09       Impact factor: 9.410

3.  Effect of exacerbation on quality of life in patients with chronic obstructive pulmonary disease.

Authors:  T A Seemungal; G C Donaldson; E A Paul; J C Bestall; D J Jeffries; J A Wedzicha
Journal:  Am J Respir Crit Care Med       Date:  1998-05       Impact factor: 21.405

4.  Decreased histone deacetylase activity in chronic obstructive pulmonary disease.

Authors:  Kazuhiro Ito; Misako Ito; W Mark Elliott; Borja Cosio; Gaetano Caramori; Onn Min Kon; Adam Barczyk; Shizu Hayashi; Ian M Adcock; James C Hogg; Peter J Barnes
Journal:  N Engl J Med       Date:  2005-05-12       Impact factor: 91.245

5.  Parametric response mapping monitors temporal changes on lung CT scans in the subpopulations and intermediate outcome measures in COPD Study (SPIROMICS).

Authors:  Jennifer L Boes; Benjamin A Hoff; Maria Bule; Timothy D Johnson; Alnawaz Rehemtulla; Ryan Chamberlain; Eric A Hoffman; Ella A Kazerooni; Fernando J Martinez; Meilan K Han; Brian D Ross; Craig J Galbán
Journal:  Acad Radiol       Date:  2014-11-04       Impact factor: 3.173

6.  Severe acute exacerbations and mortality in patients with chronic obstructive pulmonary disease.

Authors:  J J Soler-Cataluña; M A Martínez-García; P Román Sánchez; E Salcedo; M Navarro; R Ochando
Journal:  Thorax       Date:  2005-07-29       Impact factor: 9.139

7.  Combined salmeterol and fluticasone in the treatment of chronic obstructive pulmonary disease: a randomised controlled trial.

Authors:  Peter Calverley; Romain Pauwels; Jørgen Vestbo; Paul Jones; Neil Pride; Amund Gulsvik; Julie Anderson; Claire Maden
Journal:  Lancet       Date:  2003-02-08       Impact factor: 79.321

8.  Reduction in sputum neutrophil and eosinophil numbers by the PDE4 inhibitor roflumilast in patients with COPD.

Authors:  Diana C Grootendorst; Stefanie A Gauw; Renate M Verhoosel; Peter J Sterk; Jeannette J Hospers; Dirk Bredenbröker; Thomas D Bethke; Pieter S Hiemstra; Klaus F Rabe
Journal:  Thorax       Date:  2007-06-15       Impact factor: 9.139

9.  Maintenance therapy with budesonide and formoterol in chronic obstructive pulmonary disease.

Authors:  P M Calverley; W Boonsawat; Z Cseke; N Zhong; S Peterson; H Olsson
Journal:  Eur Respir J       Date:  2003-12       Impact factor: 16.671

10.  Roflumilast in symptomatic chronic obstructive pulmonary disease: two randomised clinical trials.

Authors:  Peter M A Calverley; Klaus F Rabe; Udo-Michael Goehring; Søren Kristiansen; Leonardo M Fabbri; Fernando J Martinez
Journal:  Lancet       Date:  2009-08-29       Impact factor: 79.321

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  86 in total

1.  Does roflumilast improve dyspnea in patients with chronic obstructive pulmonary disease? A meta-analysis.

Authors:  Lei Pan; Yong-Zhong Guo; Bo Zhang; Jun-Hong Yan
Journal:  J Thorac Dis       Date:  2013-08       Impact factor: 2.895

2.  Escalation and De-escalation of Therapy in COPD: Myths, Realities and Perspectives.

Authors:  Mario Cazzola; Paola Rogliani; Maria Gabriella Matera
Journal:  Drugs       Date:  2015-09       Impact factor: 9.546

3.  The Challenges of Precision Medicine in COPD.

Authors:  Mario Cazzola; Luigino Calzetta; Paola Rogliani; Maria Gabriella Matera
Journal:  Mol Diagn Ther       Date:  2017-08       Impact factor: 4.074

Review 4.  Drugs for chronic obstructive pulmonary disease.

Authors:  Christine Jenkins
Journal:  Aust Prescr       Date:  2017-02-01

5.  Benefits of Early Roflumilast Treatment After Hospital or Emergency Department Discharge for a COPD Exacerbation.

Authors:  Qing Lee; Michelle Mocarski; Shawn X Sun
Journal:  Am Health Drug Benefits       Date:  2016-05

Review 6.  Prevention of Exacerbations in Chronic Obstructive Pulmonary Disease: Knowns and Unknowns.

Authors:  Alvar Agustí; Peter M Calverley; Marc Decramer; Robert A Stockley; Jadwiga A Wedzicha
Journal:  Chronic Obstr Pulm Dis       Date:  2014-09-25

Review 7.  Effect of roflumilast on chronic obstructive pulmonary disease: a systematic review and meta-analysis.

Authors:  Lu-Fei Shen; Xiao-Dong Lv; Wen-Yu Chen; Qi Yang; Zhi-Xian Fang; Wei-Fen Lu
Journal:  Ir J Med Sci       Date:  2018-02-03       Impact factor: 1.568

Review 8.  The pharmacological approach to the elderly COPD patient.

Authors:  Timothy E Albertson; Michael Schivo; Amir A Zeki; Samuel Louie; Mark E Sutter; Mark Avdalovic; Andrew L Chan
Journal:  Drugs Aging       Date:  2013-07       Impact factor: 3.923

Review 9.  The asthma-chronic obstructive pulmonary disease overlap syndrome: pharmacotherapeutic considerations.

Authors:  Samuel Louie; Amir A Zeki; Michael Schivo; Andrew L Chan; Ken Y Yoneda; Mark Avdalovic; Brian M Morrissey; Timothy E Albertson
Journal:  Expert Rev Clin Pharmacol       Date:  2013-03       Impact factor: 5.045

Review 10.  Bronchiectasis in older patients with chronic obstructive pulmonary disease : prevalence, diagnosis and therapeutic management.

Authors:  Deborah Whitters; Robert A Stockley
Journal:  Drugs Aging       Date:  2013-04       Impact factor: 3.923

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