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1 Respiratory Division, Kyoto-Katsura Hospital, and 2 Dept of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, and 3 Dept of Pulmonary Medicine, Kobe Nishi City Hospital and 4 Dept of Respiratory Disease, Kobe City General Hospital, Kobe, Japan
CORRESPONDENCE: T. Oga, Respiratory Division, Kyoto-Katsura Hospital, 17 Yamadahirao, Nishikyo-ku, Kyoto 615-8256, Japan. Fax: 81 753810054. E-mail: ogat@df7.so-net.ne.jp
Keywords: chronic obstructive pulmonary disease, Chronic Respiratory Disease Questionnaire, health status, mortality
Received: December 17, 2001
Accepted June 11, 2002
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Abstract |
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One-hundred and forty-three patients with COPD were recruited. Health status, using the CRQ, and pulmonary function were measured at entry. Mortality after 7 yrs was then assessed. Univariate and multivariate Cox proportional hazards analyses were performed to predict those factors related to mortality.
Of all the patients, 13 could not be followed up and 40 had died. The survival rate was 69% at 7 yrs. Univariate regression analyses revealed that the dyspnoea and emotional function domains and the total score of the CRQ were weakly but significantly correlated with mortality from all causes. However, multivariate regression analyses revealed that age and forced expiratory volume in one second were the strongest predictors of mortality, and health status was not a significant factor.
Although there was a weak but significant relationship between health status and subsequent mortality in chronic obstructive pulmonary disease, it was not significant after an adjustment for age and pulmonary function. Mortality cannot be predicted from Chronic Respiratory Disease Questionnaire scores.
Health status or health-related quality of life (HRQL) measurement is a means of quantifying, in a standardised and objective manner, the impact of a disease on patients' daily life, health and well being 1. It contains three properties 2. First, health status measures can differentiate between people who have better health status and those with worse health status (a discriminative property). Secondly, they can measure how much health status changes (an evaluative property). Thirdly, they can predict the future outcomes of patients (a predictive property). However, in comparison to the first two properties, the predictive property of health status instruments has not been fully evaluated in some disorders.
Chronic obstructive pulmonary disease (COPD) is a progressive disorder for the most part, and its long-term survival rate is so poor that it is ranked high as a cause of death in developed countries 4. Some researchers have reported the predictive significance of impaired health status on emergent hospital use 5 or hospital re-admission 6 in patients with COPD. However, in spite of the importance of mortality as an outcome, the ability of health status to predict mortality in COPD has not yet been established, although factors associated with mortality in COPD have often been examined 7–9. Both positive and negative relationships between health status and mortality have recently been reported in advanced pulmonary disease 10, chronic respiratory failure 11 and COPD 12, and therefore, further study is needed.
The association between health status and subsequent mortality has been frequently reported in patients with cancer 13–15. The present authors hypothesised that health status would also be a predictor of mortality in patients with COPD. Therefore, in the present study, the baseline health status as well as pulmonary function of patients with COPD was examined, and then the relationship between health status and their mortality after 7 yrs was investigated.
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Methods |
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Pulmonary function
Pulmonary function tests were performed 
12 h after the withdrawal of inhaled bronchodilators for COPD. According to the method recommended by the ATS 16, the subjects underwent spirometry using a spirometer (AUTOSPIRO AS-600; Minato Medical Science Co. Ltd, Osaka, Japan) before and 15 and 60 min after the inhalation of 400 µg (four puffs) of salbutamol and 80 µg (four puffs) of ipratropium bromide. These doses were the average doses of each drug that the patients generally received. Spirometric testing was performed three times on each occasion, and the largest FEV1 and FVC values were then analysed. The total lung capacity (TLC) was measured by body plethysmography (MBR-600; Nihon Koden Co., Tokyo, Japan). The carbon monoxide transfer coefficient (KCO) was measured using the single-breath technique (CHESTAC-65V; Chest, Tokyo, Japan). The predicted values for pulmonary function were those established by the Japan Society of Chest Diseases 17.
Health status
Health status was measured by the Japanese version of the Chronic Respiratory Disease Questionnaire (CRQ) 18. This questionnaire was translated into Japanese according to the standardised methodology, and the Japanese version of the CRQ has previously been validated 19. The CRQ consists of 20 items, which can be divided into four domains: dyspnoea (five items), fatigue (four items), emotional function (seven items) and mastery (four items). The patients were asked to rate each item on a 7-point scale from 1 (maximum impairment) to 7 (no impairment). Each domain of the CRQ was then scored as the sum. In addition, the total score of the CRQ was calculated as the sum of the scores from all four domains. Although the original version of the CRQ did not introduce the idea of the total score, this has been used in previous studies.
Seven-year prospective observation
Seven yrs after entry into the present study, the survival status of all subjects registered was assessed. For those subjects who did not attend the outpatient clinic, efforts were made to contact their families or their primary care physicians by telephone or mail to obtain information about their mortality. When the causes of death were uncertain, they were defined as unknown. Those who could not be reached were considered to be drop-outs. The period of time from entry to the last attendance or death was recorded for the analysis.
Statistical analysis
The results are presented as mean±sd, unless otherwise stated. The relationship between two sets of data was analysed by Spearman's rank correlation tests. The survival time was calculated using the life table method.
Univariate and multivariate regression analyses of the factors related to mortality were performed using the Cox proportional hazards ratio model. Scores from the CRQ, age, BMI, FEV1, TLC and KCO were used as continuous variables, whereas the categorical variable of smoking status was coded as 1 or 0 for the analysis. The percentage of the predicted FEV1 after bronchodilators was used for the analysis as a measure of airway obstruction, since it has been regarded as a stronger predictor of survival 8.
The results of the regression analyses are presented in terms of the estimated relative risks with corresponding 95% confidence intervals (CI). A p-value of <0.05 was considered to be statistically significant for all analyses.
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Results |
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. Pre- and post-bronchodilater FEV1 were 1.16±0.52 L and 1.39±0.55 L, respectively, since the present study included those with mild-to-severe airway obstruction. Forty-four patients (31%) were current smokers. Four patients received no medications. One-hundred and thirty-nine patients (97%) were treated with both inhaled ß2-agonists and anticholinergic agents. Oral theophylline (400–800 mg·day–1) was administered to 21 patients (15%). In addition, 66 patients (46%) were treated with high doses (1,600–2,400 µg·day–1) of inhaled beclomethasone dipropionate, and 8 patients (6%) were treated with additional oral corticosteroids (prednisolone, 2.5–10 mg·day–1). Five patients were managed with long-term domiciliary oxygen therapy.
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Table 2 shows the results of the univariate Cox proportional hazards model to analyse the factors related to mortality. The dyspnoea and emotional function domains and the total score of the CRQ were weakly but significantly correlated with mortality from all causes (relative risk (RR)=0.946, p=0.02; RR=0.956, p=0.04; and RR=0.981, p=0.02, respectively). However, no domains of the CRQ were significantly correlated with COPD-related mortality. Among the clinical and physiological factors, BMI, FEV1 and KCO were strong predictors of mortality from all causes and COPD. The current smoking status at baseline was not related to mortality.
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). This demonstrated that age and FEV1 were the strongest predictors of mortality, and that BMI was also independently strongly related to COPD mortality. The total CRQ score was not a significant factor among the variables. When the other domains of the CRQ were entered into the multivariate analyses instead of the total CRQ score, they were found not to be significant (data not shown).
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Discussion |
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The predictive property is one purpose for which health status is measured 2, although the evaluative property is more practically stressed in respiratory medicine. Among various diseases, the ability of health status to predict mortality has been reported most often in cancer trials 13–15. However, with regard to mortality in COPD patients, the predictive significance of health status has not been well evaluated.
Gerardi et al. 10 reported that quality of life evaluated by the CRQ was unrelated to the 3-yr survival in patients with advanced pulmonary disease following comprehensive pulmonary rehabilitation, except for a weak but significant association between the increased dyspnoea and respiratory mortality. In comparison, strong significant relationships between health status and mortality were recently reported for chronic respiratory failure 11 and COPD 12 in larger-scaled studies, using the St. George's Respiratory Questionnaire (SGRQ) 20. Therefore, there is a possibility that the ability of the CRQ to predict mortality was weaker than the SGRQ, although this is difficult to conclude due to differences in the study settings. The CRQ includes only 20 items in total, which is much less than the 50 items on the SGRQ. Therefore, the CRQ might not be suitable for prolonged follow-up studies of this kind, although it would be appropriate as an evaluative instrument, because it has seven responses to each item.
Jones 1 recently summarised health status measurements in COPD, and stated that health status represents the sum of the effects of multiple processes. There are also functional performance questionnaires that are partially similar in some respects to health status measures. Bowen et al. 21 reported that the Pulmonary Function Status Scale (PFSS) functional activities subscore was predictive of 4-yr survival in patients with advanced pulmonary disease following pulmonary rehabilitation. Functional performance measures concentrate on interference activities performed, whereas health status measures emphasise the patient's subjective reaction to this interference, including the emotional and psychological effects of the disease as well as the physiological. Therefore, functional status might be more directly related to mortality than the scores from health status measures. However, one problem with the present study is that the CRQ may not measure the activity limitations well due to the lesser number of items included. According to the report by Hajiro et al. 19, psychological status and dyspnoea, rather than pulmonary function or exercise capacity, are the major determinants of the total score of the CRQ.
Patients with COPD manage to maintain their health status by changing their lifestyle or by adding the use of bronchodilators while their airflow obstruction progresses. A worsening of health status may progress very rapidly as death approaches when the patient cannot cope with the deterioration of their situation. Therefore, health status might better predict mortality of patients with more advanced COPD. Carone et al. 11 recently reported that health status evaluated by the SGRQ was a better predictor of mortality than functional measures in patients with chronic respiratory failure with mean FEV1 of 37% predicted.
The 3-yr survival rate in the present study was 89%, which was better than the 3-yr survival rate in the study by Gerardi et al. 10 (80%) or the study by Bowen et al. 21 (85%). However, these studies targeted patients with advanced pulmonary disease who experienced pulmonary rehabilitation. Therefore, this difference in the study setting might have caused the difference in the survival rate.
With respect to the causes of death, COPD was the most important in the present study. Among the nonrespiratory causes, cardiovascular disease deaths are considered to be the main cause of death in Western countries 7. In the studies by Gerardi et al. 10 and Bowen et al. 21, these deaths accounted for 16% and 30% of all deaths, respectively. Zielinski et al. 22 reported that heart failure (13%) was the major cause of death after acute-on-chronic respiratory failure (38%) in patients with COPD and chronic respiratory failure. In contrast, malignant disorders were the most prominent (20%) as a nonrespiratory cause in the present study. This trend may be a typical association in Japan between smoking and higher death rates from malignant disorders rather than coronary heart disease 23.
One limitation of the present study was that the ratio of males to females was higher than that of Western countries. This observation can be attributed to the sex difference in the past smoking trends in Japan, and reflects the present characteristics of Japanese patients with COPD. Therefore, a generalisation of these results to females with COPD is unwarranted.
The present study demonstrated a significant but weak relationship between health status evaluated by the CRQ and the subsequent mortality in patients with COPD. However, this significant relationship became nonsignificant after an adjustment for age and pulmonary function. One of the purposes of measuring health status is to predict the future outcomes of patients. The present negative result might have been due to the choice of questionnaire, and further study should be pursued.
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