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Erschienen in: Respiratory Research 1/2016

Open Access 01.12.2016 | Research

The association of lung function and St. George's respiratory questionnaire with exacerbations in COPD: a systematic literature review and regression analysis

verfasst von: Amber L. Martin, Jessica Marvel, Kyle Fahrbach, Sarah M. Cadarette, Teresa K. Wilcox, James F. Donohue

Erschienen in: Respiratory Research | Ausgabe 1/2016

Abstract

Background

This study investigated the relationship between changes in lung function (as measured by forced expiratory volume in one second [FEV1]) and the St. George’s Respiratory Questionnaire (SGRQ) and economically significant outcomes of exacerbations and health resource utilization, with an aim to provide insight into whether the effects of COPD treatment on lung function and health status relate to a reduced risk for exacerbations.

Methods

A systematic literature review was conducted in MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials to identify randomized controlled trials of adult COPD patients published in English since 2002 in order to relate mean change in FEV1 and SGRQ total score to exacerbations and hospitalizations. These predictor/outcome pairs were analyzed using sample-size weighted regression analyses, which estimated a regression slope relating the two treatment effects, as well as a confidence interval and a test of statistical significance.

Results

Sixty-seven trials were included in the analysis. Significant relationships were seen between: FEV1 and any exacerbation (time to first exacerbation or patients with at least one exacerbation, p = 0.001); between FEV1 and moderate-to-severe exacerbations (time to first exacerbation, patients with at least one exacerbation, or annualized rate, p = 0.045); between SGRQ score and any exacerbation (time to first exacerbation or patients with at least one exacerbation, p = 0.0002) and between SGRQ score and moderate-to-severe exacerbations (time to first exacerbation or patients with at least one exacerbation, p = 0.0279; annualized rate, p = 0.0024). Relationships between FEV1 or SGRQ score and annualized exacerbation rate for any exacerbation or hospitalized exacerbations were not significant.

Conclusions

The regression analysis demonstrated a significant association between improvements in FEV1 and SGRQ score and lower risk for COPD exacerbations. Even in cases of non-significant relationships, results were in the expected direction with few exceptions. The results of this analysis offer health care providers and payers a broader picture of the relationship between exacerbations and mean change in FEV1 as well as SGRQ score, and will help inform clinical and formulary-making decisions while stimulating new research questions for future prospective studies.
Hinweise

Competing interests

Amber L. Martin, Kyle Fahrbach, Teresa K. Wilcox, and Sarah M. Cadarette are employees of Evidera which received funding from Novartis Pharmaceuticals Corporation to conduct the study on which this manuscript is based.
Jessica Marvel is an employee and stockholder of Novartis Pharmaceuticals Corporation.
James F. Donohue is a Member or Chair of the following Data and Safety Monitoring Boards: Teva, Pearl, AZ, Otsuka, Novartis, Insmed, National Institutes of Health and a paid consultant for the following companies; Novartis, GSK, BI, AstraZeneca, Sunovion, Biomark.

Author contributions

ALM and SMC consulted on the study design, carried out the review, maintained the dataset, and drafted the manuscript. JM formed the research questions and contributed to study design. KF performed the statistical analysis and contributed to data refinement and study design. TKW contributed to study design and helped refine manuscript focus. JFD participated in study design and provided clinical insight. All authors contributed to interpreting the data and read and approved the final manuscript.
Abkürzungen
COPD
chronic obstructive pulmonary disease
FEV1
forced expiratory volume in one second
HR
hazard ratio
HRU
health resource use
OCS
oral corticosteroids
PICOS
Patient, Interventions, Comparisons, Outcomes, Study Design
RCT
randomized controlled trial
SGRQ
St. George’s Respiratory Questionnaire
SLR
systematic literature review

Background

Chronic obstructive pulmonary disease (COPD) is characterized by persistent airway obstruction related to chronic inflammatory responses in the lungs with symptoms including disabling dyspnea, fatigue, and persistent cough with excessive sputum. Exacerbations are characterized by a sustained acute worsening of respiratory symptoms beyond daily fluctuations, which leads to changes in medication use. Due to the disease symptoms, COPD patients often have a reduced capacity for physical activity and this may worsen potential systemic manifestations of the disease, such as cardiovascular and psychiatric comorbidities. The global prevalence of COPD is estimated to be 9.2 % [1] with variable estimates, ranging from 3.9 % [2] in the Netherlands to 20.9 % in the US, [3] when reported by country. Therefore, COPD presents a major clinical and humanistic burden, [4] despite the availability and use of standard treatments, which aim to relieve symptoms and slow disease progression [5].
This heavy disease toll inevitably focuses interest on how patients are treated and the extent to which medications produce meaningful benefits. Assessment of such value in clinical trials has traditionally relied on measures of lung function (such as forced expiratory volume in one second [FEV1]), symptom control, health status, and rates of exacerbation over a period of up to one year. Exacerbations are a particularly important marker, not least because they are a key driver of health resource use (HRU), such as emergency department visits, antibiotic use and hospitalization. Evidence of this includes the fact that an exacerbation can cost upwards of $7,000 each, depending on its severity and whether the patient is hospitalized [6]. Unsurprisingly, payers tend to focus on this outcome in their formulary considerations, with the expectation that decreased exacerbation rates will likely result in lower costs for their plan.
The clinical and economic importance of exacerbations in COPD invites questions about their inter-relationship with other well-established measures of treatment effect. These include, for example, persistent and/or uncontrolled disease symptoms and health status as measured by the St. George’s Respiratory Questionnaire [SGRQ] – which captures symptoms, impact on patient well-being, and activities of daily living. Additionally, clinically relevant improvements in lung function measures such as FEV1, are often required by regulators for certain drug approval processes. Of note, previous studies have looked at the link between FEV1 and SGRQ score [7, 8] but their relationship to longer-term outcomes, such as exacerbations and HRU, is not well-known and/or accepted, and this may account for why they have received comparatively less consideration from clinicians and payers.
Against this background, the current study aimed to investigate the relationship between changes in FEV1 and SGRQ score and economically significant outcomes of exacerbations and HRU, by conducting a systematic literature review (SLR) and regression analysis of relevant studies of pharmacological interventions for COPD. The results of this analysis will help the interpretation of clinical trial results and provide insights into whether or how the effects of COPD treatment seen in such studies relate to long-term clinical benefits.

Methods

Literature review

Search strategy

We systematically reviewed MEDLINE- (via PubMed), Embase-, and the Cochrane Central Register of Controlled Trials (CENTRAL) -indexed literature published from January 1, 2002 through October 1, 2014. The search algorithms used keywords for COPD paired with terms for the endpoints of interest--SGRQ, FEV1, exacerbations, and HRU. Limits included clinical trials on humans published in English.

Study selection

Following the literature search, all titles and abstracts identified from MEDLINE, Embase, and CENTRAL were manually reviewed against the inclusion and exclusion criteria using PICOS (Patient, Interventions, Comparisons, Outcomes, Study Design)-related elements. Studies were required to report on at least 20 adult COPD patients, to evaluate pharmacologic treatments labeled for or intended for use as treatment of COPD with any comparator treatment, to report mean change in either FEV1 or SGRQ score and either COPD exacerbations or any HRU endpoint, and to be a randomized controlled trial (RCT). A single investigator screened all abstracts identified through the searches, according to the specified inclusion and exclusion criteria. The full-text articles of accepted studies that passed abstract screening were retrieved for further review. Screening was conducted by a single investigator using the same inclusion and exclusion criteria that had been applied at the abstract level. All excluded studies were confirmed by a second, senior investigator and any discrepancies between the two investigators were resolved by involvement of a third investigator.

Data extraction process

The results of all accepted studies identified as part of the SLR were extracted by a single investigator trained in the critical assessment of evidence, with validation performed by a senior investigator. Trial quality and risk of bias were assessed during extraction for each included study using the Jadad quality score assessment.

Statistical analysis

The analyses relating measures of FEV1 and SGRQ total score to exacerbations and HRU followed the meta-analyses methods outlined by Johnson et al. [9] Each trial supplied one or more pairs of data points on the treatment effects of interest. These predictor/outcome pairs from each of the studies were analyzed using sample-size weighted regression analyses, which estimated a regression slope relating the two treatment effects, as well as a confidence interval and a test of statistical significance. In general, the predictor was a relative treatment effect for change in SGRQ or trough FEV1, and the outcome was a log-relative-risk or log-rate for exacerbations. Pre-bronchodilator FEV1 was considered as equivalent to trough FEV1 for analysis, while post-bronchodilator measures and FEV1 that was unspecified were not included. Primary analyses were designed to avoid the use of an intercept in the regressions, but fit was superior with an intercept included.
For the analyses of patients experiencing at least one exacerbation, studies were included if they reported on exacerbations of all severities. For analyses of patients experiencing at least one moderate-to-severe exacerbation, studies were included if they reported on exacerbations that required antibiotics, oral corticosteroids (OCS), and/or hospitalization. Data on time to first exacerbation or the number of patients with at least one exacerbation were combined for analysis. COPD exacerbations reported as an adverse event were not included in analysis. All studies reporting data at timepoints ≥24 weeks were eligible for inclusion in the analyses. Separate analyses were conducted for all timepoints ≥24 weeks and ≥48 weeks.

Results

Literature review

The literature review identified 67 trials reporting endpoints of interest at timepoints ≥24 weeks that were eligible for inclusion in the regression analysis. Fig. 1 outlines the overall search hits and study attrition during screening and analysis.

Regression analysis

In the figures representing the analyses, each point in the plot represents a study comparison for two effects. For instance, the point in the middle of Fig. 2 is from Bateman et al. [10] and represents their findings in the comparison of tiotropium 5 mg (via the Respimat® inhaler) vs. placebo. In this example, the difference between the two treatments in trough FEV1 change was -0.10, and the hazard ratio (HR) for any exacerbation risk was 0.693 (for a log-HR of -0.37). Each study with two arms (one treatment comparison, e.g. treatment A vs. treatment B) and with sufficient data contributed one data point to the analysis; studies with three arms (two treatment comparisons, e.g. A vs. B and A vs. C) contributed two data points.
Any given slope can be interpreted by determining what difference between treatments in log-exacerbation risk one would expect given the difference in trough FEV1 change. The predicted log-relative-risk of exacerbation in studies like Bateman 2010 is:
$$ \ln \left(\mathrm{RRAnyExacerbation}\right) = \mathrm{Intercept} + \mathrm{Slope}\ *\ \mathrm{Difference}\ \mathrm{in}\ \mathrm{trough}\ {\mathrm{FEV}}_1\mathrm{change}. $$
Or
$$ \ln \left(\mathrm{RRAnyExacerbation}\right) = 0.14 - 3.56(0.10), = -0.22. $$
As exp (-0.22) = 0.80, we can predict that the relative risk of exacerbation in studies like Bateman 2010 will be 20 % lower for active treatment than for control. As noted above and in the plot, in Bateman 2010 the relative risk of any exacerbation was actually slightly lower than this value (0.693).

Relationships with exacerbations at ≥48 weeks

Forced Expiratory Volume in One Second (trough FEV1)

Mean Change in Trough FEV1 and COPD Patients’ Risk for Any Exacerbation
The relationship between relative treatment effects on change in FEV1 and any exacerbation was of moderate strength and was statistically significant (slope: -3.56, p = 0.0001; Fig. 2) when defining the exacerbation outcome as time to first exacerbation or the number of patients with at least one exacerbation. No relationship was found (slope: 0.078, p = 0.9199) between treatment effects on FEV1 and annualized exacerbation rate. Figure 2 plots the relationship between the mean difference in trough FEV1 and relative risk for any exacerbation and Table 1 shows the raw trial data contributing to this analysis.
Table 1
Study Data for Trials Reporting Mean Change in Trough FEV1 and Patients Experiencing Any Exacerbation
Author, Year
Treatment
Time point (weeks)
N Randomized
Definition of exacerbation
Annual exacerbation rate
N with any exacerbation
Comparison data for Time to first exacerbation (Hazard ratio)
Mean change in Trough FEV1 (L)
Comparison data for Trough FEV1 (treatment difference)
Bateman, 2010 [10]
Tiotropium 5 ug
48
1989
B+
0.12
685
Tio5 vs. Placebo: 0.69
0.119
--
Placebo
48
2002
0.15
842
 
0.018
--
Calverley, 2010 [12]
Beclomethasone/formoterol pMDI 400/24 μg
48
237
NR
0.074
64
--
0.077
B/F pMDI vs. F-DPI: 0.051
Budesonide/formoterol DPI)800/24 μg
48
242
0.033
64
--
0.08
B/F dry vs. F-DPI: 0.053
Formoterol DPI 12 μg
48
239
0.04
66
--
0.026
--
Chapman, 2011 [13]
Indacaterol, 150 μg
52
420
A
--
--
Ind150 vs. Placebo: 0.82
0.12
--
Indacaterol, 300 μg
52
418
--
--
Ind300 vs. Placebo: 0.86
0.13
--
Placebo
52
425
--
--
 
-0.04
--
Dahl, 2010 [14]
Indacaterol 300 μg
52
437
A
--
--
Inda300 vs. Placebo: 0.77
--
Inda300 vs. Placebo: 0.16
Indacaterol 600 μg
52
428
--
--
Inda600 vs. Placebo: 0.69
--
Inda600 vs. Placebo: 0.15
Formoterol
52
435
--
--
F vs. Placebo: 0.77
--
F vs. Placebo: 0.05
Placebo
52
432
--
--
 
--
--
Decramer, 2013 [15]
Tiotropium bromide 18 μg
26
1721
C
--
--
Tio18 vs. Inda150: 0.81
--
Tio18 vs. Inda150: 0.02
Indacaterol maleate 150 μg once-daily
26
1723
--
 
--
--
--
Tiotropium bromide 18 μg
52
1721
0.07
547
--
0.092
--
Indacaterol maleate 150 μg once-daily
52
1723
0.1
619
--
0.073
--
Dusser, 2006 [16]
Tiotropium 18 μg once daily
48
500
C
--
248
--
--
--
Placebo
48
510
--
305
--
--
Tio18 vs. Placebo: 0.12
Ferguson, 2008 [17]
Fluticasone propionate/salmeterol (FSC) 250/50
52
394
C
--
343
--
-0.012
--
Salmeterol 50 μg
52
388
--
335
--
-0.082
--
van Grunsven, 2003 [18]
Fluticasone propionate (Flixotides) 250 μg bid
103
24
D
--
5
--
-0.12
F250 vs. Placebo: 0.06
Placebo bid
103
24
--
3
--
-0.17
--
Vincken, 2002 [19]
Tiotropium 18 μg qd in the morning
52
356
B
--
125
--
0.12
--
Ipratropium 40 μg qid
52
179
--
82
--
-0.03
--
Wouters, 2005 [20]
Salmeterol/fluticasone (3 month run in period of salmeterol 50 μg and fluticasone 500 μg bid)
52
189
E
--
115
--
-0.04
S/F vs. S: 0.05
Salmeterol (3 month run in period of salmeterol 50 μg and fluticasone 500 μg bid)
52
184
--
109
--
-0.1
--
Zhou, 2006 [21]
Theophylline
52
57
C
--
26
--
0.0063
--
Placebo
52
53
--
30
--
-0.0533
--
Dransfield, 2013 [22]
Vilanterol 25 μg
52
409
A
--
203
--
-0.04
--
Fluticasone furoate 50 μg + Vilanterol 25 μg
52
408
--
190
--
0
--
Fluticasone furoate 100 μg + Vilanterol 25 μg
52
403
--
161
--
0.02
--
Fluticasone furoate 200 μg + Vilanterol 25 μg
52
402
--
178
--
0.02
--
Vilanterol 25 μg
52
409
--
197
--
-0.02
--
Fluticasone furoate 50 μg + Vilanterol 25 μg
52
412
--
198
--
0.02
--
Fluticasone furoate 100 μg + Vilanterol 25 μg
52
403
--
177
--
0.01
--
Fluticasone furoate 200 μg + Vilanterol 25 μg
52
409
--
160
--
0.01
--
Exacerbation Definitions:
A:Symptom deterioration requiring antibiotics, systemic corticosteroids, and/or hospitalization
B:A complex of respiratory events lasting ≥3 days
B+:A complex of respiratory events lasting ≥3 days requiring treatment
C:Worsening of at least two symptoms for at least two days
D:Having two of the following three symptoms: increased cough, wheezing and/or dyspnea; change in sputum color; use of bronchodilator rescue medication
E:If a patient has in ≥2 consecutive days used ≥3 extra inhalations of salbutamol per 24 hours above their reference rescue value
-- = Not Reported
Mean Change in Trough FEV1 and COPD Patients’ Risk for Moderate-to-Severe Exacerbations
The relationship between relative treatment effects on change in FEV1 and moderate-to-severe exacerbations was of moderate strength and was statistically significant (slope: -1.46, p = 0.045; Fig. 3) when defining the exacerbation outcome either as time to first exacerbation, the number of patients with at least one exacerbation, or as annualized exacerbation rates. Figure 3 shows the relationship between the mean difference in trough FEV1 and the relative risk for a moderate-to-severe exacerbation. Table 2 shows the raw trial data contributing to this analysis.
Table 2
Study Data for Trials Reporting Mean change in FEV1 and Patients Experiencing Moderate-to-Severe COPD Exacerbation
Author, Year
Treatment
Time point (weeks)
N Randomized
Annual exacerbation rate (M-S)
N with M-S exacerbation
Comparison data for Time to first exacerbation (Hazard ratio)
Mean change in Trough FEV1 (L)
Comparison data for Trough FEV1 (treatment difference)
Anzueto, 2009 [23]
Fluticasone propionate/salmeterol 250 mcg/50 mcg bid
52
394
1.1
208
FP250 + S50 vs. S50: 0.73
-0.017
--
Salmeterol 50 mcg bid
52
403
1.59
234
--
-0.097
--
Bateman, 2010 [10]
Tiotropium 5 μg orally inhaled once daily
48
670
0.93
249
--
0.08
Tio5 vs. Placebo: 0.127
Tiotropium 10 μg orally inhaled once daily
48
667
1.02
246
--
0.11
Tio10 vs. Placebo: 0.150
Placebo
48
653
1.91
288
--
-0.04
 
Dahl, 2010 [14]
Indacaterol 300 μg
52
437
0.6
133
--
--
Inda300 vs. Placebo: 0.16
Indacaterol 600 μg
52
428
0.57
116
--
--
Inda600 vs. Placebo: 0.15
Formoterol
52
435
0.56
126
--
--
F vs. Placebo: 0.05
Placebo
52
432
0.74
145
--
--
 
Donohue, 2014 [24]
UMEC/VI 125/25 mcg
52
226
--
30
UMEC/VI vs. Placebo: 0.6
0.18
UMEC/VI vs. Placebo: 0.231
UMEC 125 mcg
52
227
--
34
UMEC vs. Placebo: 0.4
0.13
UMEC vs. Placebo: 0.178
Placebo
52
109
--
26
--
-0.05
--
Ferguson, 2008 [17]
Fluticasone propionate/salmeterol (FSC) 250/50
52
394
1.06
211
FP/S vs. S: 0.75
-0.012
--
Salmeterol 50 μg
52
388
1.53
230
--
-0.082
--
Kerwin, 2012 [25]
NVA237 50 μg qd
52
529
0.54
 
NVA vs. Placebo: 0.66
0.112
NVA vs. Placebo: 0.108
Tiotropium 18 μg qd
52
268
--
--
NVA vs. Tio: 1.1
0.092
NVA vs. Tio: 0.019
Placebo
52
269
0.8
--
--
-0.097
 
Sharafkhaneh, 2012 [26]
Budesonide/formoterol pMDI 160/4.5 μg x 2 inhalations bid (320/9 μg)
52
407
0.867
169
--
0.07
--
Budesonide/formoterol pMDI 80/4.5 μg x 2 inhalations bid (160/9 μg)
52
408
0.952
173
--
0.07
--
Formoterol DPI 4.5 μg x 2 inhalations bid (9 μg)
52
404
1.171
182
--
0.04
--
Tang, 2013 [27]
Tiotropium 5 μg (2 x 2.5 μg/puff)
48
167
--
58
Tio5 vs. Placebo: 0.54
--
Tio5 vs. Placebo: 0.134
Placebo (2 puffs)
48
171
--
83
--
--
--
Tashkin, 2008 [11]
Tiotropium 18 μg once daily; followed by 40 μg of ipratropium four times daily for 30 days after 4 years of treatment.
206
2987
--
2001
--
0.03
--
Placebo once daily; followed by 40 μg of ipratropium four times daily for 30 days after 4 years of treatment.
206
3006
--
2049
--
-0.05
--
Calverley, 2009 [28]
Roflumilast 500 mcg once per day
52
765
1.08
344
ROLF500 vs. Placebo (Trial 1): 0.88
0.046
ROLF500 vs. Placebo (Trial 1): 0.039
Placebo
52
758
1.27
389
--
0.008
--
Roflumilast 500 mcg once per day
52
772
1.21
373
ROLF500 vs. Placebo (Trial 2): 0.89
0.033
ROLF500 vs. Placebo (Trial 2): 0.058
Placebo
52
796
1.49
432
--
-0.025
--
Dransfield, 2013 [22]
Vilanterol 25 μg
52
409
1.05
--
FF200 + V vs. V: 0.9
-0.04
--
Fluticasone furoate 50 μg + Vilanterol 25 μg
52
408
0.92
--
FF100 + V vs. V: 0.7
0
--
Fluticasone furoate 100 μg + Vilanterol 25 μg
52
403
0.7
--
FF50 + V vs. V: 0.9
0.02
--
Fluticasone furoate 200 μg + Vilanterol 25 μg
52
402
0.9
--
--
0.02
--
Vilanterol 25 μg
52
409
1.14
--
FF200 + V vs. V: 0.7
-0.02
--
Fluticasone furoate 50 μg + Vilanterol 25 μg
52
412
0.92
--
FF100 + V vs. V: 0.8
0.02
--
Fluticasone furoate 100 μg + Vilanterol 25 μg
52
403
0.9
--
FF50 + V vs. V: 0.9
0.01
--
Fluticasone furoate 200 μg + Vilanterol 25 μg
52
409
0.79
--
--
0.01
--
Jones, 2011 [29]
Aclidinium 200 μg
52
627
 
167
Aclid200 vs. Placebo (Trial 1): 0.00
-0.013
 
Placebo
52
216
0.46
55
--
-0.065
--
Aclidinium 200 μg
52
600
 
199
--
-0.009
--
Placebo
52
204
0.8
81
--
-0.024
--
M-S = moderate-to-severe
-- = Not reported

St. George’s respiratory questionnaire

Mean Change in SGRQ Total Score and COPD Patients’ Risk for Any Exacerbations
The relationship between relative treatment effects for change in SGRQ score and any exacerbation was of moderate strength (slope: 0.112, p = 0.0002; Fig. 4) and was statistically significant when defining the exacerbation outcome as time to first-exacerbation or the number of patients with at least one exacerbation. The relationship was weaker and not statistically significant (slope: 0.014, p = 0.2825) when examining annualized exacerbation rates. Figure 4 shows the relationship between the mean difference in SGRQ score and relative risk for any exacerbation and Table 3 shows the raw trial data contributing to this analysis.
Table 3
Study Data for Trials Reporting Mean change in SGRQ Total Score and Patients Experiencing Any COPD Exacerbation
Author, year
Treatment
Time point (weeks)
N Randomized
Definition of exacerbation
Annual exacerbation rate (any)
N with any exacerbation
Comparison data for Time to first exacerbation (Hazard ratio)
Mean change in SGRQ Total Score
Comparison data for SGRQ (treatment difference)
Bateman, 2010 [10]
Tiotropium 5 μg
48
1989
B+
0.69
685
Tio vs. placebo: 0.93
-4.7
Tio5 vs. placebo: -2.9
Placebo
48
2002
0.87
842
 
-1.8
--
Calverley, 2003 [30]
Budesonide/formoterol 320/9 mg (bid)
52
254
A
1.38
--
B + F vs. B: 0.77
--
B + F vs. B: -4.5
Budesonide 400 mg (bid)
52
257
1.6
--
B + F vs. F: 0.71
--
B + F vs. F: -3.4
Formoterol 9 mg (bid)
52
255
1.85
--
B + F vs. Placebo: 0.72
--
B + F vs. Placebo: -7.5
Placebo
52
256
1.8
--
--
--
--
Calverley, 2010 [12]
Beclomethasone/formoterol pMDI 400/24 μg
48
237
NR
0.414
64
--
-3.75
--
Budesonide/formoterol DPI 800/24 μg
48
242
0.423
64
--
-4.28
--
Formoterol DPI 12 μg
48
239
0.431
66
--
-2.9
--
Casaburi, 2002 [31]
Tiotropium 18 μg
52
550
B
0.76
198
--
-3.2
--
Placebo
52
371
0.95
156
--
0.5
--
Chapman, 2011 [13]
Indacaterol, 150 μg
52
420
A
--
--
Ind150 vs. Placebo: 0.82
-7.5
--
Indacaterol, 300 μg
52
418
--
--
Ind300 vs. Placebo: 0.86
-5.5
--
Placebo
52
425
--
--
--
-5.5
--
Dahl, 2010 [14]
Indacaterol 300 μg
52
437
A
--
--
Inda300 vs. Placebo: 0.77
-6.5
Inda300 vs. Placebo: -4.7
Indacaterol 600 μg
52
428
--
--
Inda600 vs. Placebo: 0.69
-7.2
Inda600 vs. Placebo: -4.6
Formoterol
52
435
--
--
F vs. Placebo: 0.77
-7
F vs. Placebo: -4
Placebo
52
432
--
--
--
-1.7
--
Decramer, 2013 [15]
Tiotropium bromide 18 μg
26
1721
C
--
--
--
-5.2
--
Indacaterol maleate 150 μg once-daily
26
1723
--
--
--
-4.5
--
Tiotropium bromide 18 μg
52
1721
0.61
547
--
-4.9
--
Indacaterol maleate 150 μg once-daily
52
1723
0.79
619
--
-4.5
--
Ferguson, 2008 [17]
Fluticasone propionate/salmeterol (FSC) 250/50
52
394
C
4.82
343
--
-3.49
FP/S vs. S: -1.86
Salmeterol 50 μg
52
388
5.78
335
--
-1.86
--
Vincken, 2002 [19]
Tiotropium 18 μg qd in the morning
52
356
B
0.73
125
--
-3.74
Tio18 vs. Ipra40: -3.3
Ipratropium 40 μg qid
52
179
0.96
82
--
-0.44
--
Wedzicha, 2014 [32]
beclomethasone dipropionate/formoterol fumarate (BDP/FOR) 100/6 μg, 2 inhalations BID
48
602
F
0.8
264
BDP + F vs. F: 0.8
-3.55
BDP/F vs. F: -2.78
Formoterol fumarate (FOR) 12 μg, 1 inhalation BID
48
597
1.12
294
--
-0.77
--
Wouters, 2005 [20]
Salmeterol/fluticasone (3 month run in period of salmeterol 50 μg and fluticasone 500 μg bid)
52
189
E
--
115
--
2.4
S/F vs. S: -0.89
Salmeterol (3 month run in period of salmeterol 50 μg and fluticasone 500 μg bid)
52
184
--
109
--
3.2
--
Exacerbation Definitions:
A:Symptom deterioration requiring antibiotics, systemic corticosteroids, and/or hospitalization
B:A complex of respiratory events lasting ≥3 days
B+:A complex of respiratory events lasting ≥3 days requiring treatment
C:Worsening of at least two symptoms for at least two days
E:If a patient has in ≥2 consecutive days used ≥3 extra inhalations of salbutamol per 24 hours above their reference rescue value
F:An acute event characterized by a worsening of the patient's respiratory symptoms that is beyond normal day-to-day variations and leads to a change in medication
-- = Not reported
Mean Change in SGRQ Total Score and COPD Patients’ Risk for Moderate-to-severe Exacerbations
The relationship between relative treatment effects for change in SGRQ score and a moderate-to-severe exacerbation was of moderate strength and was statistically significant when defining the exacerbation outcome as either the number of patients with at least one exacerbation (slope: 0.046, p = 0.0279, Fig. 5) or as an annualized exacerbation rate (slope: 0.056, p = 0.0024, figure not shown). Figure 5 shows the relationship between the mean difference in SGRQ score and the relative risk for a moderate-to-severe exacerbation and Table 4 shows the raw trial data contributing to this analysis.
Table 4
Study Data for Trials Reporting Mean change in SGRQ Total Score and Patients Experiencing Moderate-to-severe COPD Exacerbation
Author, Year
Treatment
Time point (weeks)
N Randomized
Annual exacerbation rate (M-S)
N with M-S exacerbation
Comparison data for Time to first exacerbation (Hazard ratio)
Mean change in SGRQ Total Score
Comparison data for SGRQ (treatment difference)
Anzueto, 2009 [23]
Fluticasone propionate/salmeterol 250 mcg/50 μg bid
52
394
1.1
208
FP250 + S50 vs. S50: 0.73
2.49
FP250 + S50 vs. S50: -0.81
Salmeterol 50 μg bid
52
403
1.59
234
--
3.28
--
Bateman, 2010 [20]
Tiotropium 5 μg orally inhaled once daily
48
670
0.93
249
--
-5.1
Tio5 vs. Placebo: -3.5
Tiotropium 10 μg orally inhaled once daily
48
667
1.02
246
--
-5.5
Tio10 vs. Placebo: -3.8
Placebo
48
653
1.91
288
--
-1.6
--
Dahl, 2010 [14]
Indacaterol 300 μg
52
437
0.6
133
--
-6.5
Inda300 vs. Placebo: -4.7
Indacaterol 600 μg
52
428
0.57
116
--
-7.2
Inda600 vs. Placebo: -4.6
Formoterol
52
435
0.56
126
--
-7
F vs. Placebo: -4
Placebo
52
432
0.74
145
--
-1.7
--
Ferguson, 2008 [17]
Fluticasone propionate/salmeterol (FSC) 250/50
52
394
1.06
211
FP + S vs. S: 0.75
-3.49
FP/S vs. S: -1.86
Salmeterol 50 μg
52
388
1.53
230
--
-1.86
--
Hagedorn, 2013 [33]
Salmeterol xinafoate/fluticasone propionate via a single inhaler (SFC)
52
108
0.81
42
--
-1.8
--
Salmeterol xinafoate/fluticasone propionate via separate inhalers (Sal/FP)
52
106
0.98
44
--
-2.6
--
Kerwin, 2012 [25]
NVA237 50 μg qd
52
529
0.54
--
NVA vs. Placebo: 0.66
--
NVA vs. Placebo: -3.32
Tiotropium 18 μg qd
52
268
 
--
NVA vs. Tio: 1.1
--
NVA vs. Tio: -0.48
Placebo
52
269
0.8
--
--
--
--
Sharafkhaneh, 2012 [26]
Budesonide/formoterol pMDI 160/4.5 μg x 2 inhalations bid (320/9 μg)
52
407
0.867
169
--
-7.2
--
Budesonide/formoterol pMDI 80/4.5 μg x 2 inhalations bid (160/9 μg)
52
408
0.952
173
--
-5.5
--
Formoterol DPI 4.5 μg x 2 inhalations bid (9 μg)
52
404
1.171
182
--
-5.9
--
Tang, 2013 [27]
Tiotropium 5 μg (2 x 2.5 μg/puff)
48
167
--
58
Tio5 vs. Placebo: 0.54
-7.1
Tio5 vs. Placebo: -3.9
Placebo (2 puffs)
48
171
--
83
--
-3.3
--
Tashkin, 2008 [11]
Tiotropium 18 μg once daily; followed by 40 μg of ipratropium four times daily for 30 days after 4 years of treatment.
206
2987
--
2001
--
-1.25
--
Placebo once daily; followed by 40 μg of ipratropium four times daily for 30 days after 4 years of treatment.
206
3006
--
2049
--
-1.21
--
Wedzicha, 2008 [34]
Salmeterol 50 μg + fluticasone propionate 500 μg bid
104
658
--
408
--
-1.7
--
Tiotropium bromide 18 μg once daily
104
665
--
392
--
0.37
S + F vs. Tio18: -2.07
Jones, 2011 [29]
Aclidinium 200 μg
52
627
--
167
Aclid200 vs. Placebo (trial 1): 1.00
--
Aclid200 vs. Placebo (trial 1): -1.53
Placebo
52
216
--
55
--
--
--
Aclidinium 200 μg
52
600
--
199
--
--
Aclid200 vs. Placebo (trial 2): -2.21
Placebo
52
204
--
81
--
--
--
M-S = moderate-to-severe
-- = Not reported

Relationship between FEV1 and SGRQ and Hospitalized COPD Exacerbations

There were insufficient data to analyze association with all-cause hospitalizations, and the annualized and patient-level data were combined for the analysis of hospitalizations due to exacerbations. Additionally, relative effects for the number of patients with an exacerbation were combined with annualized exacerbation rates to facilitate analyses.

FEV1 and SGRQ

For both SGRQ score and FEV1, the plots indicate a somewhat weaker relationship with exacerbations resulting in hospitalization (compared to the findings for exacerbations overall). Results were not statistically significant (FEV1 slope: -1.49, p-value = 0.174 [Fig. 6]; SGRQ slope: 0.0518, p = 0.126 [Fig. 7]) for either relationship.

Impact of including All timepoints >24 weeks

Expanding the data set from outcomes reported at >48 weeks to include outcomes reported at >24 weeks showed similar directionality but weaker results compared with the long-term analysis data of both SGRQ score and FEV1 (data not shown).

Discussion

Our systematic literature review and regression analysis demonstrated that beneficial mean change in either FEV1 or SGRQ total score was associated with a lower risk for exacerbations. Specifically, it showed that in randomized trials of COPD drug treatments lasting ≥48 weeks, there was generally a relationship between relative efficacy in improving FEV1 and SGRQ total score and relative efficacy for lowering exacerbation risk. The majority of analyses showed the same trend towards a relationship between positive changes in FEV1 and SGRQ score and exacerbation risk, even though results did not always reach statistical significance. Of note, there was no relationship shown between mean change in FEV1 and annualized exacerbation rate, despite this relationship being moderate and statistically significant when the risk of experiencing at least one exacerbation in patients was analyzed. The mean change in SGRQ total score was not significantly related to the rate of exacerbations across all severities but had a moderate, statistically significant relationship with the rate of moderate-to-severe exacerbations. The relationship between FEV1 and SGRQ score and hospitalizations was less clear, and further research is needed in this area.
To our knowledge, the literature review and regression analysis we conducted is the first such study to evaluate the inter-relationship that health status and lung function have with exacerbation risk. It provides a more rigorous examination of a relationship between laboratory values and exacerbations than has been done in the past, as, unlike former studies, it correlates relative treatment effects instead of absolute ones, thus lowering the possibility of ecological bias. However, as this analysis used only aggregated patient data from published trials, we cannot assume that any statistical association observed between arm-level variables may be translated to patient-level associations. Therefore, our findings cannot be used to predict any outcome at the patient-level. Additionally, our analysis may be limited by the available data for the surrogate measures given the trials reported FEV1 in several different ways. Since our analysis was limited to trough or prebronchodilator FEV1 data, analysis using other measures of FEV1 could yield different results. Similarly, regarding exacerbation severity, we categorized exacerbations based on the definitions reported by study authors using a standardized approach as defined in our methods section. However, in some cases definitions were not reported so we relied on author-defined groupings of any or moderate-to-severe exacerbations.
Our research may have important implications for regulatory assessment of drugs intended to help reduce the risk of exacerbations in COPD and, in particular, the evidence considered in such deliberations. Currently, to gain marketing approval for this indication, such treatments have to be tested in long-term, parallel trials, which represent a logistic and economic burden on the sponsoring organization. Because of this, few trials of COPD drugs are powered to identify a significant difference in the reduced risk of exacerbations. It is for this reason that to date very few drugs have been approved for reducing exacerbations on the basis of prospective 1–2 year parallel trials, usually in patients with history of acute exacerbations in the prior year. Our study suggests changes in FEV1 and SGRQ might serve as reliable surrogate markers of patients’ likelihood of experiencing an exacerbation. If so, these measures could allow future trials to be shorter and more manageable while still offering key insights into treatments’ longer-term efficacy. Since exacerbations can be costly to health plans, payers should consider the effect of medications on these surrogate markers, even when long-term RCTs cannot be carried out. Also, confirmation of our results would broaden the application of data already available from published shorter-term studies. This is especially important since the trials used to inform regulatory approval were powered on each specific drug’s expected effect on the acute exacerbation rate and all but one [11] were small and had very selective entry criteria. This contrasts with the trials contributing data for our review and analysis, since these were broader and more inclusive (e.g. with regards to disease duration and reversibility, comorbidities, interventions, and concomitant therapies) and collectively more representative of the general COPD population seen in everyday clinical practice. Therefore, these collated data sources potentially allow more generalizable conclusions to be drawn regarding whether or how standard short-term endpoints assessed in trials relate to effects on exacerbations.

Conclusions

In conclusion, this study demonstrates a significant association between improvements in FEV1 and SGRQ total score and lower risk for COPD exacerbations. We believe that the results of our study offer providers and payers a more informed picture of the inter-relationship between exacerbations and both FEV1 and SGRQ score, which will aid clinical and formulary decisions while stimulating research questions for future prospective studies.

Acknowledgements

The authors would like to acknowledge Abhishek Kavati for his contributions to critical review of the manuscript.

Funding

Funding for this manuscript was provided by Novartis.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Competing interests

Amber L. Martin, Kyle Fahrbach, Teresa K. Wilcox, and Sarah M. Cadarette are employees of Evidera which received funding from Novartis Pharmaceuticals Corporation to conduct the study on which this manuscript is based.
Jessica Marvel is an employee and stockholder of Novartis Pharmaceuticals Corporation.
James F. Donohue is a Member or Chair of the following Data and Safety Monitoring Boards: Teva, Pearl, AZ, Otsuka, Novartis, Insmed, National Institutes of Health and a paid consultant for the following companies; Novartis, GSK, BI, AstraZeneca, Sunovion, Biomark.

Author contributions

ALM and SMC consulted on the study design, carried out the review, maintained the dataset, and drafted the manuscript. JM formed the research questions and contributed to study design. KF performed the statistical analysis and contributed to data refinement and study design. TKW contributed to study design and helped refine manuscript focus. JFD participated in study design and provided clinical insight. All authors contributed to interpreting the data and read and approved the final manuscript.
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Metadaten
Titel
The association of lung function and St. George's respiratory questionnaire with exacerbations in COPD: a systematic literature review and regression analysis
verfasst von
Amber L. Martin
Jessica Marvel
Kyle Fahrbach
Sarah M. Cadarette
Teresa K. Wilcox
James F. Donohue
Publikationsdatum
01.12.2016
Verlag
BioMed Central
Erschienen in
Respiratory Research / Ausgabe 1/2016
Elektronische ISSN: 1465-993X
DOI
https://doi.org/10.1186/s12931-016-0356-1

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