Abstract
Background
Chronic obstructive pulmonary disease (COPD) remains a significant cause of morbidity and mortality, with high rates of underdiagnosis. There are no studies about following up COPD patients in primary health care. The aim of the current study was to estimate two-year mortality for COPD patients in primary care and assess the parameters associated with mortality.
Methods
A total of 263 patients with a new COPD diagnosis were followed up for two years. Follow-up included phone contacts every six months for assessment of vital status, and re-examination visits every year after the initial diagnosis. Visits included performance on spirometry, assessment of smoking status, evaluation of adherence with treatment, and assessment of the number of exacerbations during the previous year.
Results
One hundred and eighteen patients with COPD completed the study. The overall mortality was 27.9%. Most patients had quit smoking two years after the initial diagnosis, whereas the percentage of patients showing high adherence with treatment was 68%. Parameters associated with two-year mortality were age and coronary heart disease comorbidity.
Conclusion
The mortality of patients with COPD in primary care remains significantly high, whereas adherence with treatment remains significant low. Age, smoking status, and a history of depression are major determinants of mortality in primary health care.
Keywords: chronic obstructive pulmonary disease, mortality, primary health care, depression
Background
Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. According to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines, COPD is a preventable and treatable disease characterized by airflow obstruction that is not fully reversible and is related to the inflammatory response of the lung to noxious particles or gases. The main risk factor for the development of the disease is smoking.1
The prevalence of COPD varies widely between countries, and underdiagnosis remains significant. Clinical and laboratory tools have been used to diagnose COPD.2 In primary health care, spirometry, chronic respiratory symptoms, and questionnaires have been tested, with variable results. For example, van Schayck et al showed that smokers over 60 years of age with cough had a 48% chance of having airways obstruction.3 Questionnaires for early detection of patients with COPD in primary care have also been developed with variable results,4,5 whereas Buffels et al showed that office spirometry is an essential tool for early diagnosis of COPD.6 However, it seems that the most preferable option is to provide general practitioners with high-quality spirometry validated by specialists.7 In a more recent study directly comparing two strategies for early identification of COPD in primary health care, it was shown that performing spirometry in a population selected by general practitioners who have undergone special training is more effective compared with an open spirometry program.8
The prevalence of COPD varies across countries and depends on the exposure of the general population to risk factors for COPD, especially smoking.1 In the Burden of Lung Disease (BOLD) study, it was shown that the overall prevalence of COPD was 10.1%, with wide variations between countries.9 In a recent study in primary health care in central Greece, we showed that, in a large population sample involving about 20,000 subjects aged >14 years old, the prevalence of COPD was 350 cases per 10,000 residents.10
On the other hand, COPD mortality remains the primary endpoint of several studies. Worldwide, COPD was the sixth leading cause of death in 1990, and presently is the fifth. The Global Burden of Disease (GBD) study projects that, by 2020, COPD will become the third leading cause of death worldwide.11 In the study by Soriano et al, increasing severity of COPD was associated with increased mortality. Mortality rates per 1000 person-years for mild, moderate, and severe COPD were 54.3, 69.6, and 275.7, respectively, in women and 73.5, 91.6, and 380.2 in men. The highest mortality rate (458.2 per 1000 person-years) was observed in men aged over 65 years with severe COPD.12 Mortality has been associated with several parameters. For example, it has been shown that patients with greater number of comorbidities are at increased risk.13 Other parameters associated with increased COPD mortality are frequent COPD exacerbations14 or physical inactivity,15 and multidimensional systems, like the BODE index, which correlates with COPD mortality, have been developed.16 COPD mortality has been studied extensively in the two COPD mega trials, ie, the Towards a Revolution in COPD Health (TORCH) and the Understanding Potential Long-Term Impacts on Function with Tiotropium (UPLIFT®) studies, which include a combined total of over 10,000 COPD patients. In the TORCH trial, overall mortality was 12.6% for the combination therapy group17 whereas in the UPLIFT study overall mortality was 14.9% in the tiotropium group.18
COPD is underdiagnosed, not only in its early stages, but even when lung function is severely impaired. Although it is responsible for high morbidity, mortality, and cost, it is often neglected by health care providers. Highlighting the course of COPD helps to raise the profile of the disease and may change long-held attitudes.19 In the current study, we followed up a cohort of newly diagnosed COPD patients in primary health care for two years. After two years, we assessed overall mortality and the differences between COPD patients who had died and those who were still alive. We also tried to identify the parameters associated with COPD mortality in primary health care in Greece.
Materials and methods
Study design
The study was conducted at 14 primary health care centers in Thessaly, Greece, during a 14-month period from September 2007 to November 2008. The study group, which comprised two young physicians and an experienced chest physician with a special interest in COPD, visited each primary health care center during the first week of each month and offered spirometry to every subject who wanted to be examined. After performing spirometry, the subjects were examined by the chest physician who made a diagnosis of COPD according to existing COPD guidelines. Patients with a smoking history < 10 pack-years, a previous diagnosis of COPD, inhaled medication for any reason, significant reversibility in spirometry, history of other respiratory disease, and upper or lower respiratory tract infection during the previous four weeks were excluded from the study. Three hundred and four patients with newly diagnosed COPD and the abovementioned inclusion criteria were asked if they wanted to be followed up for two years. Two hundred and sixty-three patients agreed to provide us with further communication details. Follow-up included phone contact and re-examination visits at predefined time intervals. The study was approved by the ethics committee of the University Hospital of Larissa and all subjects provided their informed consent.
Initial visit
A self-assessment questionnaire was completed upon arrival by all subjects, who subsequently underwent a physical examination, including assessment of body mass index, and, finally, prebronchodilation and post-bronchodilation spirometry. Body mass index was calculated as body weight divided by the square of height (expressed in kg/m2).
The study questionnaire included questions about smoking habits, the presence of comorbidities (including coronary heart disease and psychological distress) and chronic respiratory symptoms (ie, cough, sputum production, wheezing, and dyspnea). Identification of comorbidities was based on the health records of each patient and the drugs received. Dyspnea was assessed using a modified (five-point) Medical Research Council dyspnea scale, as described previously. 20 Subjects with a history of smoking > 100 cigarettes during their lifetime were considered as smokers, whereas exsmokers were smokers who had quit smoking for at least 12 months.21 Smoking status was measured by pack-years, defined as the number of cigarettes smoked per day divided by 20 and multiplied by the number of years of smoking.
Spirometry
Spirometry was performed using a dry spirometer (KoKo Legend, Ferraris, UK), according to American Thoracic Society recommendations.21 Calibration checks were performed every morning 30 minutes before the beginning of the spirometry program. Spirometry testing was done by physicians who had undergone a special training program by two pneumonologists. Forced expiratory maneuvers were repeated until three reproducible acceptable tests were obtained, and the best forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), and FEV1 to FVC ratio (FEV1/FVC) values were recorded.22 A bronchodilator reversibility test was performed in all patients with obstructive spirometry using 400 μg of salbutamol. Obstructive spirometry was defined as an FEV1/FVC ratio < 0.7, according to GOLD guidelines.1 An increase in FEV1 > 12% and >200 mL from baseline was considered significant.23
Diagnosis of COPD
Evaluation of patients and diagnosis of COPD were done by a chest physician who was present throughout the study. Diagnosis of COPD was based on smoking history, history of exposure to noxious particles or gases, compatible symptoms, and an FEV1/FVC ratio < 0.70. Classification of COPD was based on post-bronchodilation FEV1, according to GOLD guidelines (Stage I, mild COPD FEV1 ≥ 80.0% predicted; Stage II, moderate COPD 50.0% ≤ FEV1 < 80.0% predicted; Stage III, severe COPD 30.0% ≤ FEV1 < 50.0% predicted; Stage IV, very severe COPD 30.0% ≤ FEV1 or FEV1 < 50.0% predicted with respiratory failure). After the diagnosis, the experienced physician prescribed inhaled medication for the patients according to their stage of disease and GOLD guidelines.1
Follow-up
Follow-up visits included phone contact and re-examination visits. Phone contact was made every six months in order to assess the vital status of the patient. Re-examination visits were scheduled after phone contact with the patient every year after the initial visit. The examination visit included completion of a structured questionnaire and performance of prebronchodilation and post-bronchodilation spirometry. The questionnaire included questions about current smoking status, presence of respiratory symptoms (eg, cough, sputum production, wheezing, and dyspnea), adherence with previously described treatment, and number of exacerbations with or without hospitalization during the previous year. Adherence with treatment was defined as receiving the prescribed medicines for over 80% of the year (over 10 months). Patients who missed one of the examination visits were excluded from the analysis.
Statistical analysis
Demographic data regarding each visit are presented as the mean ± standard deviation or median (interquartile range) for normally and skewed data, respectively. Comparison of proportions was performed using the Chi-square test, whereas differences in numerical variables between two groups were checked using the unpaired t-test or Mann-Whitney U test for normal and skewed data, respectively. When comparison between surviving and deceased patients with COPD was performed, the two groups differed in terms of age, body mass index, cough, sputum production, and coronary heart disease comorbidity at a statistical significance level of P < 0.1. These variables were further included in a logistic regression model assessing mortality at two years. Data were analyzed using SPSS 15.0 for Windows (SPSS Inc, Chicago, IL). P values < 0.05 were considered to be statistically significant.
Results
The flow chart of the study is presented in Figure 1. Initially, 263 patients were included in the study. Ninety-nine patients were lost to follow-up during the first year and 46 during the second year. As a result, 145 patients were not included in the analysis, leaving 118 patients (44.9%) for analysis. Of the remaining 118 patients, 17 died during the first year and 16 during the second year (Figure 1). Overall two-year mortality was 27.9% (33 of 118 patients).
Figure 1.
Flow chart of the study.
Demographic data for the study population are presented in Table 1. Two years after initial diagnosis, the proportion of current smokers decreased significantly (51% versus 32%, P < 0.05), and the proportion of ex-smokers increased significantly (49% versus 68%, P < 0.05). However, there was no statistically significant difference in the proportions of respiratory symptoms, and no significant change in spirometric values. The average number of exacerbations for the study population was one exacerbation for both the first year and the second year, but only 59% and 68% of patients showed adherence with COPD treatment at year 1 and year 2, respectively.
Table 1.
Demographic data of sample
| Variables | Visit 1 | Visit 3 | P value |
|---|---|---|---|
| n | 118 | 85 | |
| Age | 74 (68–79) | 73 (68–78) | NS |
| BMI | 28.06 (25.82–31.14) | 28.37 (26.57–31.14) | NS |
| Smoking status | |||
| Current smoker | 60 (50.85%) | 27 (31.76%) | <0.05 |
| Ex-smoker | 58 (49.15%) | 58 (68.24%) | <0.05 |
| Cough | 91 (77.12%) | 70 (82.35%) | NS |
| Sputum production | 89 (75.42%) | 67 (78.82%) | NS |
| Wheezing | 67 (56.78%) | 44 (51.76%) | NS |
| Dyspnea | 114 (96.61%) | 81 (95.29%) | NS |
| MRC | 1 (1–2) | 1 (1–1) | NS |
| FEV1 (%pred) | 59.13 (±15.61) | 62.58 (±18.67) | NS |
| FVC (%pred) | 71.17 (±15.44) | 70.58 (±17.06) | NS |
| FEV1/FVC | 65.45 (56.03–69.93)* | 68.40 (61.90–69.79)* | <0.05 |
| PEF (%pred) | 55.06 (±18.41) | 57.76 (±20.96) | NS |
| FEF25–75 (%pred) | 36.00 (23.75–47.00) | 40.00 (26.50–55.00) | NS |
| Average number of exacerbations | – | 1 (1–2) | NS |
| Adherence with treatment | – | 58 (68.24%) | NS |
| Hospital admissions | – | 18 (21.18%) | NS |
| Hospitalizations | – | 6 (7.06%) | NS |
| Number of deaths | – | 16 | |
Abbreviations: IQR, interquartile range; BMI, body mass index; MRC, Medical Research Council; NS, not statistically significant; FEV1, forced expiratory volume in the first second; FVC, forced vital capacity; FEV1/FVC, FEV1 to FVC ratio; PEF, peak expiratory flow; FEF25–75, mid forced expiratory flow; %pred, percent predicted.
Figure 2 shows the distribution of patients according to COPD stage for each visit, indicating that the distribution remains similar at all visits, with stage II patients being more prevalent.
Figure 2.
Distribution according to stages of chronic obstructive pulmonary disease in each visit.
With regard to baseline comorbidity, most patients had arterial hypertension (over 90%), with coronary heart disease being the second most prevalent comorbidity (about 40%). Other comorbidities with a lower prevalence included hyperlipidemia, diabetes mellitus, arrhythmia, and depression (Figure 3).
Figure 3.
Distribution of comorbidities among study participants.
Table 2 shows the differences in baseline characteristics between patients with COPD who did not survive and those who were still alive two years after the initial visit. There were no differences between the two groups, except for the proportion of patients with cough, sputum production, coronary heart disease comorbidity, and age, all being higher in the group of COPD patients who did not survive (P < 0.1).
Table 2.
Baseline characteristics of COPD patients who died
| Variables | Deceased COPD patients | Surviving COPD patients | P value |
|---|---|---|---|
| n | 33 | 85 | |
| Age | 74.4 (8.1) | 71.7 (7.1) | <0.1 |
| BMI | 28.0 (5.8) | 28.3 (3.3) | NS |
| Smoking status | |||
| Current smoker | 20 (60.6%) | 40 (47.1%) | NS |
| Ex-smoker | 13 (39.4%) | 45 (52.9%) | NS |
| Comorbidities | |||
| Hypertension | 29 (87.9%) | 79 (92.9%) | NS |
| Coronary Heart disease | 19 (57.5%) | 29 (42.4%) | <0.05 |
| Hyperlipidemia | 4 (12.1%) | 17 (20%) | NS |
| Arrythmia | 2 (6.1%) | 4 (4.7%) | NS |
| Diabetes mellitus | 4 (12.1%) | 14 (16.5%) | NS |
| Depression | 2 (6.1%) | 2 (2.4%) | NS |
| Other | 10 (30.3%) | 25 (29.4%) | NS |
| Cough | 30 (90.9%) | 61 (71.8%) | <0.05 |
| Sputum production | 30 (90.9%) | 59 (69.4%) | <0.05 |
| Wheezing | 20 (60.6%) | 47 (55.3%) | NS |
| Dyspnea | 33 (100%) | 81 (95.3%) | NS |
| MRC | 1 (1–1.5) | 1 (1–2) | NS |
| COPD stage NS | |||
| Stage I | 3 (9.1%) | 9 (10.6%) | NS |
| Stage II | 19 (57.6%) | 49 (57.6%) | NS |
| Stage III | 11 (33.3%) | 23 (27.1%) | NS |
| Stage IV | 0 (0%) | 4 (4.7%) | NS |
| FEV1 (%pred) | 60.1 (15.2) | 58.7 (15.8) | NS |
| FVC (%pred) | 71.0 (62.5–80.5) | 73.0 (57.0–83.0) | NS |
| FEV1/FVC | 64.9 (57.4–68.9) | 65.8 (53.9–69.0) | NS |
| PEF (%pred) | 54.9 (17.2) | 57.9 (18.2) | NS |
| FEF25–75 (%pred) | 35.5 (22.8–47.5) | 36.0 (24.3–46.80) | NS |
Abbreviations: BMI, body mass index; MRC, Medical Research Council; FEV1, forced expiratory volume in the first second; FVC, forced vital capacity; FEV1/FVC, FEV1 to FVC ratio; PEF, peak expiratory flow; FEF25–75, mid forced expiratory flow; %pred, percent predicted.
It was shown in a logistic regression analysis model that age and coronary heart disease comorbidity was significantly associated with two-year mortality. The older the age and the higher the comorbidity from coronary heart disease, the higher the odds ratio for death (1.08 times for every year of age and 2.5 for coronary heart disease comorbidity) (Table 3).
Table 3.
Parameters associated with two-year mortality
| B | SE | Wald | df | Sig | Exp (B) | 95% CI for Exp (B) | ||
|---|---|---|---|---|---|---|---|---|
|
|
||||||||
| Lower | Upper | |||||||
| Variables in equation | ||||||||
| Age | 0.084 | 0.032 | 6.791 | 1 | 0.009 | 1088 | 1.021 | 1.159 |
| Cough (yes) | 1.255 | 0.793 | 2.504 | 1 | 0.114 | 3.508 | 0.741 | 16.597 |
| Sputum production (yes) | 0.781 | 0.776 | 1.012 | 1 | 0.315 | 2.183 | 0.477 | 9.991 |
| CHD (yes) | 0.934 | 0.469 | 3.972 | 1 | 0.046 | 2.545 | 1.016 | 6.378 |
| Constant | 9.328 | 2.535 | 13.541 | 1 | 0.000 | 11,249.667 | ||
Notes: Death = 1, survival = 0.
Abbreviations: CI, confidence interval; CHD, coronary heart disease.
Discussion
The results of the current study indicate that mortality from COPD remains significantly high in primary health care in Greece. The overall mortality rate of patients with COPD in the current study was 28%, and the proportion of patients who were adherent with treatment remains low. Patients with COPD who did not survive had similar characteristics to those of patients who did survive, except for the presence of cough and sputum. The two-year mortality in this cohort of patients with COPD was associated with age and coronary heart disease comorbidity.
Interestingly, in this cohort, the mortality rate from COPD was high, reaching 28%, which is much higher compared with the mortality rate quoted in the TORCH and UPLIFT studies. In TORCH, the proportion of deaths from any cause was 12.6% for the combination therapy group, 13.5% for the salmeterol group, 16.0% for the fluticasone group, and 15.2% for the placebo group,17 whereas in the UPLIFT study, the mortality rate was 14.9% in the tiotropium group and 16.5% in the placebo group.18 However, there are trials with higher mortality rates for COPD. For example, the mortality rate was 26% in a study by Celli et al.16 One possible explanation for the high mortality rate in our cohort was the low percentage of patients with COPD who were adherent with treatment (about 60%) and the fact that all these patients had limited access to specialist pulmonologists and tertiary hospitals.
Another interesting finding in our study was the high percentage of patients with COPD who quit smoking and the low percentage of patients who adhered with treatment. In previous studies, it has been reported that smoking cessation advice resulted in high smoking cessation rates in patients with airflow obstruction.24 On the other hand, although all patients were newly diagnosed, the percentage of adherence with treatment one year after the initial visit was only about 60%. Data from the TORCH study indicate that adherence with treatment is an important parameter directly associated with COPD mortality and admission to hospital due to COPD exacerbation. In that study, it was shown that the percentage of deaths was higher in the group with poor adherence to treatment, and that adherence is associated with reduced risk of death and admission to hospital due to COPD exacerbation. 25 However, despite the low percentage of adherence with treatment in our cohort, we did not find an association between this parameter and COPD mortality.
According to the findings of the present study, patients with COPD who did not survive shared several common characteristics with patients who did survive. The only differences were presence of cough and sputum production. In a previous study examining the characteristics of adults dying from COPD, it was shown that death from COPD was more likely to occur among current smokers, and that adults dying with COPD were more likely to be underweight.26 Moreover, it has been shown that the presence of mucus production is related to a rapid decline in FEV1 and that sputum production can predict COPD-related mortality.26 Our findings are in accordance with these data, ie, cough and sputum production were more prevalent in patients who did not survive.
Factors associated with mortality in patients with COPD include body composition,27 number of exacerbations,14 rapid decline in FEV1,28 and the presence of comorbidities.13 In a study including about 40,000 subjects with COPD, it was shown that men had lower survival rates compared with women after hospitalization for exacerbation of COPD.29 In addition, there are studies with multidimensional assessment of COPD patients in which mortality rate has been investigated. For example, survival has been associated with the BODE index,16 whereas it was shown in a recent cluster analysis that the “severe respiratory COPD” phenotype had a higher probability of death compared with the other two phenotypes. 30 However, in our study, factors related to mortality with COPD were age and coronary heart disease. Indeed, patients with COPD are at increased risk of cardiovascular disease and, in turn, cardiovascular disease contributes significantly to morbidity and mortality in COPD.31,32 All these data indicate that COPD mortality is related to several aspects of the disease, and all these parameters may have an additive role in the overall probability of death in patients with COPD. It has been proposed that in primary health care, general practitioners should be directed to the identification and treatment of comorbidity in patients with COPD.33
Limitations
Our study is the first, to our knowledge, to investigate mortality among patients with COPD in primary health care, but has some limitations. One is the low proportion of subjects included in the analysis, with final inclusion of only 118 patients, although 263 patients were included initially. Secondly, there are no data concerning the causes of death and, as a result, COPD-related mortality cannot be estimated. Moreover, there is no registry of death certificates in Greece that could help follow the rest of the group. Therefore, mortality rate could fluctuate widely from around 13%, if all of those patients lost to follow-up survived, up to 68% if all those lost to follow-up died. As a consequence, mortality rates should be treated cautiously. However, age and coronary heart disease comorbidity did correlate with mortality, and we estimate that a prospective study design, careful selection of COPD patients, and strict inclusion criteria would add value to the impact of the results of the current study.
Conclusion
This prospective cohort study of patients with COPD in primary health care shows that the most significant determinants of two-year mortality are age and coronary heart disease. Two years after initial diagnosis, a high proportion of patients with COPD had quit smoking, whereas adherence with treatment remained low. Given that identification of the predictors of COPD mortality remains an uncertain and complex topic,34 and the fact that implementation of long-term programs concerning COPD in primary health care has an important impact in several aspects of the disease,35 we estimate that intensive follow-up of patients with COPD in primary health care in Greece is essential.
Acknowledgments
The authors wish to thank Eleni Souloukou and Anna Toutoudaki for their secretarial support throughout the study.
Footnotes
Disclosure
The authors declare that they have no competing interests in this work.
References
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