|
|
||||||||
1 UCT Lung Institute, University of Cape Town, Cape Town, South Africa, 2 GlaxoSmithKline Research and Development, Stockley Park, Uxbridge, UK
CORRESPONDENCE: E.D. Bateman, UCT Lung Institute, PO Box 34560, Groote Schuur 7937, Cape Town, South Africa. Fax: 27 214066902. E-mail: ebateman@uctgsh1.uct.ac.za
Keywords: asthma control, budesonide, fluticasone propionate, practice guidelines, quality of life, salmeterol
Received: November 13, 2001
Accepted March 4, 2002
| Abstract |
|---|
|
|
|---|
Clinical data from three studies that compared salmeterol/fluticasone propionate combination therapy (SFC) with other treatments in patients with persistent asthma were retrospectively analysed. Achievement of asthma control was determined over an 8-week period in each study according to six parameters derived from the GINA guideline treatment goals. Asthma Quality of Life Questionnaire (AQLQ) scores (a 7-point scale, where 1=severe impairment and 7=no impairment) were analysed by treatment group for well-controlled and not well-controlled patients.
The analysis showed that, across a range of severities, well-controlled asthma patients had consistently higher AQLQ scores at endpoint and larger AQLQ improvements from baseline, than patients who were not well controlled. For many well-controlled patients, endpoint scores approached 7, indicating little or no impact of asthma on their QOL. However, AQLQ scores of not well-controlled patients also improved substantially in some treatment groups, particularly the SFC group.
These results suggest a relationship between the achievement of guideline-based asthma control and improvements in quality of life to levels where there is little or no impact of asthma on quality of life. Guideline-based asthma control is therefore beneficial to the patient and should be tested in prospective studies.
The aim of asthma management is to achieve control of the disease. National and international management guidelines define asthma control according to a set of treatment goals based on asthma symptoms, rescue ß2-agonist use, exacerbations, objective measures of lung function, activity limitation and adverse effects of medication. The achievement of all of these goals should be regarded as constituting asthma control 13.
It has recently been shown that overall asthma control can be achieved with appropriate treatment 4, by fulfilling the asthma treatment goals recommended in the Global Initiative for Asthma (GINA) guidelines 3. However, although a guideline-based definition of control is much broader than a definition that uses a single clinical measure, such as peak expiratory flow (PEF) or symptom scores, it still defines control primarily from the doctor's perspective, in terms of clinical indices, rather than the impact on the patient's quality of life. It has been shown that patient-perceived benefits cannot be inferred from conventional clinical measures 5. Therefore, it should not be assumed that meeting the GINA treatment goals, which are based primarily on clinical indices, will necessarily be meaningful to patients. The patient's perspective of how successfully their asthma is being treated is not yet addressed in the goals of treatment guidelines, but is better represented by measures of quality of life (QOL), such as the Asthma Quality of Life Questionnaire (AQLQ), than by physiological endpoints such as lung function, as measured by spirometry. Furthermore, it is worth noting that the emphasis of previous studies of QOL in asthma has been on how much it improves rather than whether it reaches an optimal or maximal level.
Three clinical studies have been reported 68 that used the AQLQ to measure the effect of the salmeterol/fluticasone propionate combination product (SFC; SeretideTM/AdvairTM/VianiTM, all GlaxoSmithKline, Uxbridge, UK) on QOL, and thus were selected for this retrospective analysis. The aim was to explore the association between the achievement of asthma control, measured according to criteria from the widely-accepted GINA guidelines, and QOL, measured with the AQLQ. In particular, the present authors sought to determine whether maximal or near-maximal AQLQ scores, representing minimal or no impact of asthma on QOL, are attainable. This may in turn generate formal hypotheses that can then be prospectively tested.
| Methods |
|---|
|
|
|---|
12 yrs-of-age, were randomised into these three clinical studies. The details of the inclusion criteria for each study and the numbers of patients in each treatment group are shown in table 1
|
The definition of asthma control used in this analysis was derived from the goals of long-term asthma management identified in the GINA guidelines 3. Patients in the three studies were classified as either "well controlled" or "not well controlled" according to the level of asthma control achieved during an 8-week period of the study (weeks 512 post-randomisation). The criteria used to assess patients in this analysis are summarised together with the GINA criteria in table 2
. In order to convert the qualitative GINA goals into quantitative measures, pragmatic assumptions based on usual clinical practice were employed. For example, "Minimal need for quick-relief ß2-agonist therapy" was interpreted as the use of a rescue bronchodilator on no more than 2 days in a week, and a total weekly use of no more than 4 occasions (or 8 puffs).
|
Certain thresholds were set for control assessments to determine whether a patient could be included in the retrospective analysis. If any of these thresholds were not met, data from that patient was classed as missing. For each week, a qualifying criterion could only be assessed if the data were available for
5 of the 7 days. The level of control in any given week could only be assessed if all the individual criteria for that week were evaluable. One exception to this was that if one of the group of three criteria (PEF, symptoms and rescue salbutamol use) was not evaluable, the patient could still be classified as well controlled, as long as there were sufficient data to show that the other two criteria had been met (as a patient could fail one of these three criteria in a week and still be classed as well controlled).
Control could only be evaluated if data from a patient were available for
4 of the 8 weeks in question. To be classed as well controlled, patients had to be well controlled in every evaluable week, that is: 4 out of 4 weeks, 5 out of 5, 6 out of 6, 7 out of 7, or 8 out of 8. Where
7 weeks of evaluable data were available, a patient could still be classed as well controlled if they achieved control for 6 out of 7 or 7 out of 8 weeks. Patients with 4 weeks of evaluable data who failed to achieve one of these targets were classed as not well controlled. Furthermore, if patients withdrew from the study because of an asthma exacerbation or a drug-related adverse event, or if the study treatment lacked efficacy, they were classed as not well controlled for the whole 8-week period. Data from patients who withdrew for any other reason were classed as missing.
Quality of life assessment
The QOL measure used in these three studies was the self-administered version of the AQLQ. The AQLQ is a disease-specific instrument that has been validated in clinical trials 1215. The AQLQ contains 32 questions (items) comprising four domains: Activity Limitations, Asthma Symptoms, Emotional Function and Environmental Exposure. Each item is scored on a 7-point Likert scale where 1 indicates severe impairment and 7 indicates no impairment. The overall score is the mean of the 32 items. A change in mean overall or domain score of 0.5 has been shown to represent the smallest change of importance to the patient (the "minimal important difference"), and a change in score of 1.0 represents a moderate change 16. The AQLQ is a disease-specific questionnaire, so it would not be meaningful to test it in a healthy population in an attempt to define the AQLQ score for a nonasthmatic. However, a maximum overall AQLQ score (7) represents no impairment in QOL due to asthma, and scores approaching 7 imply a minimal impact of asthma on QOL.
Statistical analysis
Data were analysed to determine control status over the 8-week period and mean overall AQLQ scores at study baseline and endpoint (either the end of the treatment period or upon early withdrawal) for each evaluable patient. No missing data were imputed. To examine whether the exclusion of patients for whom control was unevaluable due to missing data affected the results, these patients were included in a repeat analysis using the conservative assumption that they were not well controlled.
This analysis was retrospective and no hypothesis was established prior to analysis so only descriptive summary statistics are presented. The mean and sd of the AQLQ scores at study endpoint and the difference between endpoint and baseline scores were determined for the well-controlled and not well-controlled subgroups of each treatment group.
An additional analysis was conducted on the data from study A to compare the composite definition of control, based on GINA guidelines, with control measured by four of the individual clinical parameters that constitute the composite measure of asthma control. The aim was to see whether control of any one parameter was associated with the overall QOL improvement obtained when composite asthma control was achieved. Based on the present authors' previous paper 4, the individual criteria selected were PEF, day- and night-time symptom scores and ß2-agonist use, as failure to satisfy one or more of these criteria was the most common reason for not achieving overall control (as defined by a composite measure).
| Results |
|---|
|
|
|---|
Overall Asthma Quality of Life Questionnaire score at endpoint
The mean overall AQLQ scores at endpoint for well-controlled and not well-controlled patients are presented in figure 1
. Well-controlled patients who achieved guideline-based asthma control had consistently higher overall AQLQ scores than the patients who were not well controlled. Mean AQLQ scores achieved by well-controlled patients at endpoint were largely similar, regardless of treatment intervention or asthma severity, and, with the exception of the budesonide group in study C, approached or exceeded 6. While mean AQLQ scores were similar across treatment groups in well-controlled patients, the number of patients who achieved well-controlled status varied markedly by treatment intervention. The greatest number of well-controlled patients was seen in the SFC group in all three studies, with only a few well-controlled patients in the placebo (studies A and B) and budesonide (study C) treatment groups.
|
Change from baseline in Asthma Quality of Life Questionnaire score
The mean changes in AQLQ scores (from baseline at endpoint) for well-controlled and not well-controlled patients are presented in table 3
. The trends were similar to those seen for overall endpoint scores: well-controlled patients achieved greater improvements in AQLQ than not well-controlled patients. In the majority of cases, the mean changes exceeded the threshold for minimal important difference (
0.5). This difference was seen consistently within each treatment group in all studies (with the exception of budesonide in study C).
|
The association between asthma control and the change in QOL during each study is further illustrated by examining the number of patients who achieved a clinically important improvement in QOL. The result of this analysis for study A are presented in figure 2
. This shows that the group of patients who achieved an AQLQ score change of
0.5 contained a higher number of well-controlled patients than the group who failed to achieve this score change, and that substantially more patients in the SFC group (whether or not they were well controlled) achieved this change in score than in the other treatment groups. The results from studies B and C show a similar trend (data not shown).
|
|
|
| Discussion |
|---|
|
|
|---|
The apparent association between the achievement of guideline-based asthma control and better QOL is shown by mean AQLQ scores at study endpoints that are higher in the well-controlled patient subgroups. This was seen consistently across studies, and therefore severities of asthma, suggesting that even in more severe patients, the same asthma control objectives are achievable and that patients with more severe disease do not have to accept less favourable outcomes. The improvement in AQLQ score from baseline at endpoint also appears to be greater in well-controlled than not well-controlled patients, which was seen consistently within each treatment group. In the majority of cases, the improvements in QOL in the well-controlled group exceeded the threshold for a clinically important difference. The present authors also found that patients who recorded low baseline AQLQ scores were more likely to achieve higher, and in some cases near-maximal, endpoint scores if they were well controlled, than those patients who were not well controlled.
While well-controlled patients achieved greater improvements in QOL than not well-controlled patients, some differences were observed between treatment groups. Patients who received SFC experienced clinically important improvements in QOL whether or not they were well controlled. This was evident in both the change in AQLQ score and in the number of patients achieving a clinically meaningful improvement in AQLQ, compared with other treatments. This suggests that even if control is not achieved, meaningful improvements in QOL can be obtained with appropriate treatment.
The composite definition of control used in this analysis had six components, including measures of disease that would be perceived as important by patients, such as symptom score, bronchodilator usage, night-time waking and exacerbations. Therefore, at first sight it might be expected that patients who achieve control of their asthma in several ways should experience accompanying benefits in their QOL. However, the definition of control is based on clinical indices and the QOL assessment is based on a patient's perception of benefit. It would be wrong to assume that meeting the needs of the clinician is the same as meeting the needs of the patient. Indeed, it has been shown that no single conventional clinical measure can capture patient-perceived QOL benefits 5.
The results of the present analysis are consistent with other published data in so far as they suggest that if a patient's asthma control improves, their AQLQ scores increase 17, 18. However, the present analysis is different, and therefore valuable, in two key aspects: the focus on maximum attainable AQLQ at endpoint rather than the change from baseline, and the definition of asthma control used, which was based on the goals of the GINA guidelines.
The emphasis of the present analysis was not only on improvement in QOL from baseline, but also the attainment of maximal or near-maximal AQLQ scores, suggesting minimal or no impact of asthma on QOL. Although the current study is a retrospective analysis, the variety of analyses that have been performed provides useful information on the relationship between these two approaches to assessing QOL. More importantly, it supports the view that physicians and patients do not appreciate the extent to which asthma can be completely controlled and patients can enjoy normal QOL. This relationship, and the assessment of the proportion of asthmatics in which ideal control can be achieved, will require study in prospective trials.
The second key aspect of this analysis was the definition of asthma control used. Asthma control was defined using a composite measure that corresponds to the long-term management goals set out by established international treatment guidelines. This analysis therefore attempts to validate the long-term treatment goals of GINA from the patients' perspective. This approach appears to be justified, in that it was shown that there are differences in the degrees of QOL improvement according to whether asthma control is defined using a composite measure or a single measure, such as PEF. The results of this analysis suggest that if patients achieve guideline-based composite control, they will achieve larger improvements in QOL than if success in only a single measure is achieved. Conversely, failure to achieve good control as measured by a single parameter does not necessarily predict failure in terms of QOL improvements. This supports the view that a composite control measure provides a better predictor of likely improvement in quality of life or of likely failure to improve than measurement of single clinical endpoints.
An additional important feature of the control definition employed in the present study was that patients were assessed over an 8-week period, during which their asthma was evaluated weekly according to goals set out in the GINA guidelines 3. Some groups have proposed that control should be assessed over shorter periods than 1 week; an example of such a measure is the "asthma control day" 19, 20. However, measuring control over a longer time period than 1 day should give a better picture of how well a patient can both achieve and maintain control. The assessment of longitudinal control with a daily measure is more difficult because a patient's level of control can vary considerably from one day to the next, generating greater variability in the data. The decision to use weekly control assessments corresponds more closely to the management goals in the GINA guidelines than measuring control daily, which is the method used in the present authors' previous paper 4. Moreover, from the physician's point of view, a week is a more practical period over which to evaluate asthma control. This is an important consideration, as any assessment of control must be practical or usable in clinical practice.
The proportion of patients in the three studies who achieved well-controlled status varied considerably by treatment group, but overall was low (26%). It should be noted, however, that within the trials analysed, treatment interventions were fixed and were not titrated to achieve either optimal control or optimal QOL for each patient. The statistical design chosen was a simple re-analysis that generated summary statistics only. The decision not to include comparative statistics seems justified by the unequal sizes of the subgroups that arose from the analysis. This inequality in subgroup sizes arose because several patients from the original study databases provided insufficient data for analysis of asthma control, and so were excluded from the datasets. To examine whether the allocation of missing data affected the results of the analysis, this analysis was repeated using the very conservative assumption that all patients who were unevaluable due to missing data were not well controlled. The overall findings of this re-analysis were identical to those of the primary analyses, although the AQLQ scores in the not well-controlled groups were marginally lower.
In conclusion, the present analysis suggests that in patients with persistent asthma, the achievement of asthma control (as defined by physician-based, clinical criteria in treatment guidelines) is associated with greater improvements in quality of life, reaching near-maximal levels, and is therefore of benefit to the patient. In addition, these improvements appear to be achievable in patients with low baseline Asthma Quality of Life Questionnaire scores and with a range of disease severity, suggesting that even in patients with more severe asthma, treatment goals should be the same as those with less severe asthma. However, in patients who do not achieve control, considerable improvements in quality of life may still be gained with appropriate therapy, in this analysis combination therapy with salmeterol and fluticasone propionate. These findings should be further investigated in prospective studies.
| Acknowledgements |
|---|
|
|
|---|
| References |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
E. D. Bateman, J. Bousquet, M. L. Keech, W. W. Busse, T. J. H. Clark, S. E. Pedersen, and on behalf of the GOAL Investigators Group The correlation between asthma control and health status: the GOAL study Eur. Respir. J., January 1, 2007; 29(1): 56 - 62. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Ragab, G. K. Scadding, V. J. Lund, and H. Saleh Treatment of chronic rhinosinusitis and its effects on asthma Eur. Respir. J., July 1, 2006; 28(1): 68 - 74. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. E. Williams, A. C. Lloyd, L. Watson, and K. F. Rabe Cost of scheduled and unscheduled asthma management in seven European Union countries Eur. Respir. Rev., June 1, 2006; 15(98): 4 - 9. [Abstract] [Full Text] [PDF] |
||||
![]() |
I. Berti, G. Longo, S. Visintin, B. A. Chowdhury, C. R. Jenkins, G. B. Marks, H. K. Reddel, D. K.C. Lee, A. Raghupathy, B. Brashier, et al. Treatment of Mild Asthma N. Engl. J. Med., July 28, 2005; 353(4): 424 - 427. [Full Text] [PDF] |
||||
![]() |
C. R. Jenkins, F. C. K. Thien, J. R. Wheatley, and H. K. Reddel Traditional and patient-centred outcomes with three classes of asthma medication Eur. Respir. J., July 1, 2005; 26(1): 36 - 44. [Abstract] [Full Text] [PDF] |
||||
![]() |
E. D. Bateman, H. A. Boushey, J. Bousquet, W. W. Busse, T. J. H. Clark, R. A. Pauwels, S. E. Pedersen, and for the GOAL Investigators Group Can Guideline-defined Asthma Control Be Achieved?: The Gaining Optimal Asthma ControL Study Am. J. Respir. Crit. Care Med., October 15, 2004; 170(8): 836 - 844. [Abstract] [Full Text] [PDF] |
||||
![]() |
G. L. Colice Categorizing Asthma Severity: An Overview of National Guidelines Clin. Med. Res., August 1, 2004; 2(3): 155 - 163. [Abstract] [Full Text] [PDF] |
||||
![]() |
G.L. Braunstein Distribution of therapeutic response in asthma control Eur. Respir. J., September 1, 2003; 22(3): 568 - 568. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |