Abstract
BACKGROUND: The effect of pulmonary rehabilitation (PR) on the EuroQol Group's 5-dimension questionnaire (EQ-5D) in COPD has been poorly investigated. In addition, conflicting results were reported about the visual analog scale component of EQ-5D (EQ-VAS). The purpose of this study was to evaluate the responsiveness of EQ-VAS to PR and its relationship with clinical and functional parameters in subjects with COPD, as well as to define the minimal clinically important difference (MCID) estimate for the EQ-VAS after PR.
METHODS: A total of 468 in-patients with stable moderate-to-severe COPD, allocated to a 3-wk PR program, were retrospectively evaluated. EQ-VAS was assessed before and after PR, and its relationship with baseline pulmonary function, changes in 6-min walk test, and baseline, and transitional dyspnea index (BDI/TDI) after PR were evaluated. Using an anchor-based approach and receiver operating characteristic curves, the EQ-VAS change cutoff that identified subjects achieving the known MCID for TDI after PR was identified.
RESULTS: Four hundred and thirty-nine subjects (94%, mean FEV1 55.3% predicted) completed pre- and post-PR EQ-VAS scores. After PR, EQ-VAS increased from 58 ± 17 to 72 ± 15 (ΔEQ-VAS 14 ± 12, P < .001). ΔEQ-VAS was negatively related to baseline FEV1 (r = −0.32, P < .001) and positively to TDI (r = 0.50, P < .001) and 6-min walk distance (r = 0.46, P < .001) changes. Receiver operating characteristic curves identified an EQ-VAS change cutoff of 8 as the best discriminating value to identify the MCID for TDI (0.78 sensitivity and 0.81 specificity; area under curve: 0.845, P < .001).
CONCLUSIONS: Our study shows that, in in-patients with stable moderate-to-severe COPD, EQ-VAS is a valid and reliable tool to assess the responsiveness to PR, with an estimated MCID of 8 points. The EQ-VAS can be a practical alternative to more time-consuming measures of health-related quality of life.
Introduction
Pulmonary rehabilitation (PR) is a widely used and comprehensive intervention, which promotes improvements in exercise capacity, symptoms, and quality of life in patients with COPD who have clinical and functional impairment.1 The EuroQol Group's 5-dimension questionnaire (EQ-5D), a generic preference-based instrument, is increasingly used as a global measure of health-related quality of life (HRQOL).2 EQ-5D comprises a 5-dimension (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) questionnaire and a 20-cm visual analog scale (EQ-VAS) ranging from 0 (worst imaginable health) to 100 (best imaginable health), along which the respondents rate their health status. Several studies measured HRQOL, by means of EQ-5D, in patients with COPD during stable phases of the disease3–6 and during exacerbations.7–9 In stable disease, the EQ-5D's ability to discriminate between GOLD stages has been shown for total score3,4 and EQ-VAS,5 but ceiling effects have also been reported for EQ-VAS.4,10 Up to now, only one study has examined the responsiveness of EQ-5D after PR in patients with COPD,10 showing a significant improvement in EQ-5D utility score and a trend toward significant increase in EQ-VAS.
HRQOL questionnaires, even if self-administered, often require operator supervision, with unavoidable expenditure in terms of time. It is necessary to identify simple and quick instruments that give reliable health and quality of life outcomes and that can be performed in most clinical settings, including rehabilitation centers, and are suitable for the largest number of subjects. The EQ-VAS is a practical and quick standardized instrument, able to provide an estimate of HRQOL, sufficiently precise and very sensitive to changes.11 Our group has recently reported a significant increase in EQ-VAS after a PR program in a large cohort of subjects with COPD with co-morbidities.12 However, no study has been specifically conducted to point out the value of VAS scores in subjects with COPD.
The first aim of this study was to examine the responsiveness of EQ-VAS to PR in subjects with clinically stable COPD, as well as its relationship with functional baseline parameters and PR outcomes. The second aim was to establish the minimal clinically important difference (MCID) for EQ-VAS after PR in subjects with COPD. Finally, we intended to ascertain whether baseline lung function and PR outcomes could predict a benefit in terms of a significant change in EQ-VAS after PR. Therefore, we performed a retrospective analysis from a database of in-patients with COPD who had undergone PR in a tertiary healthcare center.
QUICK LOOK
Current knowledge
Pulmonary rehabilitation (PR) is a comprehensive intervention, which promotes improvements in exercise capacity, symptoms, and quality of life in patients with COPD with clinical and functional impairment. The EuroQoL Group's 5-dimension questionnaire (EQ-5D) is a generic preference-based instrument, frequently used as a global measure of health-related quality of life (HRQOL).
What this paper contributes to our knowledge
In in-patients with stable moderate-to-severe COPD, the EQ-5D visual analog scale (EQ-VAS) was a valid and reliable tool to assess response to PR. The EQ-VAS can be a practical alternative to more time-consuming measures of HRQOL.
Methods
Design of the Study
A retrospective analysis was performed on data collected from subjects with COPD admitted to our rehabilitation center from January 1, 2009 to December 31, 2012. Spirometry and blood gas analysis together with walking capacity, dyspnea, and HRQOL were obtained in all subjects at admission and at completion of the PR program. On day 1, subjects received a medical evaluation (medical history, physical examination, and vital signs), pulmonary function tests, and blood gas analysis. On the subsequent day, subjects completed BDI and EQ-VAS measurements and performed a 6-min walk test (6MWT). On day 3, subjects started the PR program. The last day before discharge, subjects performed final assessments. Correlation between baseline variables and improvement in HRQOL were also analyzed. Finally, the MCID for EQ-VAS after PR was estimated.
Subjects
We examined 497 subjects with COPD who attended an in-patient PR program. All subjects had a diagnosis for COPD according to the GOLD criteria.13 Subjects who had an exacerbation over the previous 4 wk were excluded, as well as subjects who were not able to perform the 6MWT. Subjects who did not complete the PR program, for intercurrent COPD exacerbation, or any unstable medical condition, were also excluded. Contraindications for participation in the PR program included musculoskeletal disorders, malignant diseases, unstable cardiac condition, and lack of adherence to the program. A total of 468 subjects were considered eligible for the study.
The Charlson index, a method for classifying comorbid conditions that might alter the risk of mortality, assigns a score to each disease that is proportional to the disease-related risk of death from the individuals' self-reported comorbidities.14 For each admitted subject, the Charlson index was computed by the physician, and the obtained value was not adjusted for age and did not include COPD in the individual's score. Diagnostic confirmation was indirectly assessed by means of chart review, biochemical data, and specific procedures that were performed during the hospitalization.
All subjects were receiving regular pharmacologic treatment (tiotropium in 431 subjects, inhaled long-acting β2-agonists in 391 subjects, and inhaled corticosteroids in 329 subjects). One hundred and twenty subjects were under long-term oxygen therapy. One hundred and sixteen subjects out of 468 had 2 or more exacerbations in the previous year and were classified as frequent exacerbators, to ascertain whether they differed in PR outcomes as compared with the remaining subjects.
In all subjects, the clinical and functional assessment had been undertaken for clinical reasons at the request of the subject's clinician. The data used in the study are related to the subjects who gave their consent to the use of data for research purposes, and were analyzed and reported anonymously. No extramural funding was used to support this study.
One hundred and twenty-six out of 468 subjects had performed more than one PR program during the time period of the study. For the purposes of the study, we considered each subject/program as an individual case.15
Pulmonary Function Tests and Arterial Blood Gas Analysis
Vital capacity, FEV1, total lung capacity, and residual volume were measured by means of a flow-sensing spirometer and a body plethysmograph connected to a computer for data analysis (Masterlab, Erich Jaeger, Friedburg, Germany). Transfer factor of the lung for CO was measured by the single-breath method, using a mixture of carbon monoxide and methane (Sensor Medics, Yorba Linda, California). Vital capacity, FEV1, total lung capacity, residual volume, and transfer factor of the lung for CO were expressed as a percentage of the predicted values, which were obtained from regression equations by Quanjer et al16 and Cotes et al.17 FEV1/vital capacity and residual volume/total lung capacity ratios were taken as indices of airway obstruction and lung hyperinflation, respectively.
PaO2 and PaCO2 were measured immediately after sampling from a puncture of the radial artery at rest (ABL 330 gas analyzer, Radiometer, Copenhagen, Denmark).
Dyspnea and Health Status by HRQOL
Dyspnea was assessed by the baseline/transitional dyspnea index (BDI/TDI).18 BDI and TDI are interviewer-administered questionnaires composed of 3 categories (functional impairment, magnitude of task, and magnitude of effort). The BDI allows quantification of the limitation due to dyspnea at baseline, whereas TDI is useful to determine change from baseline level. In the BDI, each category has 5 levels of symptom severity, from 0 to 4, where grade 0 corresponds to the most severe level. The category ratings are then summed to give a score, ranging from 0 to 12, with a lower score indicating worse clinical condition. TDI evaluates change over time in each of the 3 categories. Change from baseline status is rated according to 7 grades, ranging from −3 (major deterioration) to +3 (major improvement), with 0 representing no change. The scores of the 3 categories are then summed to obtain the total score of the TDI, which ranges between −9 (a larger deterioration in dyspnea) and +9. In our study, BDI/TDI were performed by a physiotherapist. HRQOL of subjects was evaluated by the VAS component of EQ-5D, reflecting their perceived health state, where 0 meant the worst imaginable health state and 100 meant the best imaginable health state.2
Walking Capacity
Walking capacity was evaluated by means of the distance covered during a 6MWT according to the ATS statement.19 The 6MWT was performed by all subjects in a 30-m indoor, level, hospital corridor, under the supervision of a physiotherapist, according to the ATS guidelines. All subjects received the same instructions before the walk, and were encouraged by the physiotherapist, who repeated set phrases every minute during the walk. A practice 6MWT was not performed. The 6-min walk distance (6MWD) covered during the test was recorded in meters. Subjects were allowed to stop and rest during the test but were instructed to resume walking as soon as they felt able to do so. In all subjects, the change in distance covered during 6MWT (Δ6MWD) after PR was recorded. Before and immediately after the 6MWT, subjects rated the magnitude of their perceived breathlessness and of their leg fatigue using a 0–10-point Borg scale.
Pulmonary Rehabilitation Program
Subjects underwent a comprehensive PR program consisting of: (1) exercise training, (2) unstructured programs for promoting self-management in COPD, (3) structured educational support, and (4) nutritional and psychological counseling, if needed. According to the guideline recommendations, the PR program was completely tailored to suit the needs of the individual.1 The program consisted of 15 sessions over a 3-wk period.20–23 To be included in the study, subjects had to have a frequency of at least 4 visits/wk. Lower limb endurance training was the main component of our PR program. All subjects performed 12 supervised sessions of 30–40 min, using treadmill or cycle-ergometer, depending on the clinically based choice of the physiotherapist and on the subject preference. Exercise intensity was based on the initial 6MWT,24 and subjects started their training at 60–70% of the maximum heart rate achieved on the 6MWT. Exercises were then adjusted based on subject tolerance (at least weekly), with the aim of achieving a Borg dyspnea score of 3–5 (moderate to severe). To optimize training load, supplemental oxygen for subjects with chronic respiratory failure and interval training for very compromised subjects were adopted. Subjects who reported high impairment of their capacity in undertaking activities of daily living (climbing stairs and standing up from a low chair) also performed lower limb strength training on alternate days by sit-to-stand exercises. Each session also included supervised upper limb training; subjects used an arm ergometer or performed calisthenic exercises holding a light weight. In relation to the needs of subjects, the PR program could also include other components, such as pursed-lips breathing and exhalation on effort, as well as forward leaning position to improve diaphragm activity and optimize recruitment of accessory muscles of respiration, and inspiratory muscle training using threshold loading devices. Finally, each subject participated in educational activities, individually (at least 3 times) and in groups (at least 2 times), regarding self-management, adherence to therapy, smoking cessation, and nutritional support. The total daily duration of activities was 2–3 h, and the entire program was conducted in the hospital.
Statistical Analysis
This is a retrospective pilot study. Due to the explorative nature of the study, no formal sample size calculation was performed. Data are reported as mean ± SD, unless otherwise specified. The distribution of variables was assessed by means of Kolmogorov-Smirnov goodness-of-fit test. Relationships between variables were assessed by Pearson's correlation coefficient (r) and linear regression analysis. Comparisons between variables were determined by unpaired t test and chi-square test, when appropriate. A statistical analysis by one-way analysis of variance was also performed to detect significant variations between groups, followed, where significant, by Student t tests with Bonferroni adjustment.
To evaluate the MCID, the change in EQ-VAS score with PR was anchored against change in another outcome measure of PR efficacy.25 The receiver operating characteristic (ROC) curve method26 was therefore used to plot the true positive rate (sensitivity) in function of the false positive rate (1-specificity) for different cut-off points of EQ-VAS with respect to the MCID for TDI (≥ 1),27,28 as a threshold value. The EQ-VAS cut-off point, which maximized sensitivity and specificity, was chosen as MCID.
The MCID for the EQ-VAS was then used to classify subjects with COPD into improved and unchanged categories.
A P value < 0.05 was considered as significant.
Data analyses and graphical presentations were performed using GraphPad Prism 5 (GraphPad, San Diego, California) or SPSS 20 (SPSS, Chicago, Illinois).
Results
According to GOLD criteria, 103 (22%), 164 (35%), 155 (33%), and 46 (10%) out of 468 subjects had, respectively, mild, moderate, severe, and very severe air flow obstruction. The mean number of visits during the 3-wk period of PR was 13 ± 1, and, in all subjects, the adherence rate to the PR program was 85% (range 80–100%). There were 439 (94%) subjects who were able to understand and produce EQ-VAS score. Characteristics of these subjects are reported in Table 1. At baseline, there was a ceiling effect for EQ-VAS in 4 of the subjects (0.9%). After PR, these numbers increased to 9 (2.1%). When subjects who underwent a single PR program were compared with those with more than 1 PR program, no difference was found in ΔEQ-VAS (15 ± 12 vs 14 ± 11, P = .51).
All subjects showed a significant improvement in EQ-VAS, 6MWT, and TDI after PR. EQ-VAS improved by 14 ± 12 (from 58 ± 17 to 72 ± 15, P < .001). The 6MWT improved by 40 ± 46 m (from 420 ± 113 to 460 ± 103, P < .001). Dyspnea showed a clinically important reduction (from BDI 6.5 ± 2.5 to TDI 3.6 ± 2.4), corresponding to a change of ≥ 1 unit in 89% of the subjects.
The ROC curve to identify the best change in EQ-VAS to discriminate between those achieving the MCID for TDI is shown in Figure 1. According to the ROC curve method, the plot of the true positive rate in function of the false positive rate for different cut-off points of EQ-VAS with respect to TDI ≥ 1, as a threshold value, showed 0.845 area under curve value. The EQ-VAS cut-off point, which maximized sensitivity and specificity, was ≥ 8 (0.78 sensitivity and 0.81 specificity).
According to the proposed MCID for EQ-VAS, 314 out of 439 subjects (72%) improved after PR, showing a EQ-VAS value ≥ 8.
As compared with unchanged subjects in EQ-VAS score, the improved ones showed significantly worse respiratory function (air flow obstruction, hyperinflation, and diffuse lung capacity) and blood gas analysis (Table 1) and a higher percentage of frequent exacerbators (29% vs 16%, P = .004). Moreover, improved subjects obtained a higher change in 6MWD, TDI, dyspnea, and leg fatigue during 6MWT after PR than unchanged subjects (Table 2).
By analysis of variance, there were statistically significant differences in ΔEQ-VAS among subjects, categorized by the air flow obstruction degree (8.2 ± 10.3, 14.7 ± 10.6, 16.1 ± 11.6, and 20.9 ± 11.7, respectively, P < .001). Post hoc analyses showed statistically significant differences between subjects with mild obstruction and those of the other 3 stages, and between subjects with moderate obstruction and those with very severe obstruction (P < .05 for all comparisons).
Finally, in all subjects, ΔEQ-VAS was positively related to TDI (r = 0.50, P < .001) and to change in 6MWD (r = 0.46, P < .001), whereas it was negatively related to baseline FEV1 (r = −0.32, P < .001) (Table 3).
Discussion
In this retrospective study, we have investigated the role of a 3-wk PR program in determining benefits of EQ-VAS in 468 stable subjects with COPD. As expected, a significant improvement in EQ-VAS in all subjects was found. In addition, we have provided an MCID for EQ-VAS, able to discriminate improved from unchanged subjects with COPD, suggesting potential utility of this parameter in clinical settings. Furthermore, we found that improved subjects, as assessed by EQ-VAS, were characterized by worse respiratory function and higher changes in 6MWD and TDI after PR.
The effect of PR on EQ-5D in patients with COPD has not been adequately investigated. Up to now, only one study10 has examined this topic. In this study, Ringbaek et al10 analyzed 229 stable subjects with COPD before and after a 7-wk supervised PR program, by showing a significant improvement of EQ-5D. Notably, they showed the positive effect of PR only for EQ-5D utility score, whereas they observed a trend toward a significant increase in EQ-VAS score after PR (P = .056).10 In the present study, we adopted an analogous number of PR program sessions in subjects with very similar EQ-VAS score at baseline to those of the Ringbaek et al study.10 Unlike the results in that study, our subjects experienced a significant improvement in EQ-VAS after PR. This discrepancy could be due to a different gender distribution. In the study by Ringbaek et al,10 there was a female predominance (68%), whereas our study population was composed primarily of male subjects (83%). It is known that there are gender-associated differences in HRQOL in subjects with COPD, showing poorer quality of life in women.29,30 Moreover, there is some evidence of lower improvements in HRQOL after PR in women with COPD,31 although the impact of gender-related differences in PR outcomes remains to be defined.32
As in the study by Ringbaek et al.10, we found a very small ceiling effect for EQ-VAS at baseline, with a slight increase after PR (from 0.9% to 2.1%). Considering the simplicity and the quickness of EQ-VAS measure, we believe that the above values may be acceptable. In addition, floor and ceiling effects lower than 3% were considered adequate for the St George Respiratory Questionnaire.33
Although EQ-5D is responsive to intervention and change (lung transplantation, self-management, tiotropium),34–36 there is a paucity of data regarding the minimal important difference.37,38 Walters et al37 determined the minimal important difference for the EQ-5D from various datasets. Of the 11 studies that were reviewed, 1 involved subjects with COPD,11 considering only EQ-5D utility score but not EQ-VAS score.37 Notably, Pickard et al38 estimated the minimal important differences in EQ-5D utility and VAS scores in cancer. They conducted a retrospective analysis on data collected from 534 subjects with cancer, 50 of whom had lung cancer. Using both anchor-based and distribution-based approaches, Pickard et al38 observed that minimal important differences for VAS scores were similar for lung and all cancers, with a 7-point value.
In the present study, we provide the first indication of an MCID in EQ-VAS score after PR in subjects with COPD. Interestingly, compared with the results of Pickard et al38 in our study, we obtained a similar value of MCID. This fact supports the view that EQ-VAS could produce different scores for different medical conditions, but similar changes following interventions.
Furthermore, to evaluate the value of MCID for the EQ-VAS to distinguish improved and unchanged subjects, we divided subjects with COPD into 2 groups according to the MCID value. Interestingly, as compared with unchanged subjects, the improved ones showed significantly worse respiratory function (air flow obstruction, hyperinflation, and diffuse lung capacity) and blood gas analysis, and a higher percentage of exacerbators. Moreover, the improved group obtained a greater change in 6MWD, TDI, dyspnea, and leg fatigue during 6MWT after PR, than did the unchanged group. It is conceivable that subjects with poor baseline lung function are at risk to enter a downward spiral of dyspnea, sedentariness, demotivation, and finally deconditioning,39 as well as reporting significantly worse HRQOL, expressed by EQ-5D utility and VAS scores.4 On the other hand, our results showed that these subjects may have a larger improvement after PR, as compared with subjects with more preserved lung function, HRQOL, and exercise capacity.
Finally, we acknowledge that our population was partially composed of subjects who have performed more than one PR program during the time period of the study. This fact could influence the magnitude of the effects of PR on outcome measures, limiting the results of the study, in particular the change in EQ-VAS score. However, the effects of a PR program tend to decline toward baseline after 12 months,1 and its repetition confers similar increases in functional exercise capacity without providing additional effects.15 Similarly, in a previous 2-y controlled study, Foglio et al40 showed that successive, annual interventions lead to similar short-term gains but do not result in additive long-term physiologic benefits, except for the further reduction in the number of exacerbations. On the other hand, some additional physiological and clinical benefits were observed by Romagnoli et al41 in a study in which subjects repeated PR programs more frequently, that is, every 6 months. However, we did not observe a significant difference in EQ-VAS change between subjects with COPD that had undergone a single PR program as compared with those with more than one. Moreover, we acknowledge that the ROC curve method may not be the best way to identify MCID. However, up to now, there has been no consensus on the optimal method to estimate the MCID.42,43 Furthermore, the ROC curve method, using external anchor measures, was successfully used to calculate the MCID of the Clinical COPD Questionnaire44 and of the 5-repetition sit-to-stand test45 in subjects with COPD.
We acknowledge that the lack of control group may be a limitation of our study. A prospective randomized control group would add further consistency to the EQ-VAS cut-off point, as a MCID. PR still needs more evidence for its effectiveness in the medical community as well as to the insurance providers.
Conclusions
Our study shows good responsiveness of EQ-VAS score after PR. Moreover, even if the method used to calculate the MCID may not be optimal, we provide an MCID value for change in EQ-VAS score, in stable subjects with COPD. Furthermore, our results show that subjects with COPD with worse clinical and functional data seem to obtain more benefit from PR, with particular reference to change in EQ-VAS score. Although this assessment may not be exhaustive, the measurement of the quality of life through the VAS score represents a quick and easy evaluation for patients with COPD in a clinical setting.
Footnotes
- Correspondence: Andrea Zanini MD, Divisione di Pneumologia, Fondazione Salvatore Maugeri, Istituto di Ricovero e Cura a Carattere Scientifico, Via Roncaccio, 16-21049 Tradate, Italy. E-mail: andrea.zanini{at}fsm.it.
The authors have disclosed no conflicts of interest.
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