Literature DB >> 32943861

Unique Mortality Profile in Japanese Patients with COPD: An Analysis from the Hokkaido COPD Cohort Study.

Hironi Makita1,2, Masaru Suzuki1, Satoshi Konno1, Kaoruko Shimizu1, Yasuyuki Nasuhara1, Katsura Nagai1,3, Yasushi Akiyama3, Satoshi Fuke4, Hiroshi Saito5, Takeshi Igarashi5, Kimihiro Takeyabu6, Masaharu Nishimura1,2.   

Abstract

Purpose: Causes of death may be unique and different in Japanese patients with COPD because they are generally older, thinner, experience fewer exacerbations, and live longer than those in other countries. We investigated the detailed mortality profile in the Hokkaido COPD cohort study, which completed a 10-year follow-up with a very low dropout rate. Patients and
Methods: We prospectively examined the 10-year natural history in 279 Japanese patients with COPD (GOLD 1, 26%; GOLD 2, 45%; GOLD 3, 24%; and GOLD 4, 5%). The majority of patients were male, and the average age at baseline was 69 years old. About 95% of all patients had accurate mortality data. The risk factors for mortality were also analyzed.
Results: During the 10 years, 112 patients (40%) died. Their median survival time was 6.1 years (interquartile range: 4.7-7.9 years), and age at death was 79 ± 6 years old (mean ± SD). Respiratory diseases, including pneumonia, were the leading causes of death in 45 (40%), followed by lung cancer in 24 (21%), other cancers in 18 (16%), and cardiovascular diseases in 12 (11%). In particular, lung cancer-related death was equally distributed across all COPD stages, with a higher proportion of lung cancer in the relatively younger generation (<64 years old). Older age at baseline, lower BMI, and severer emphysema were significant risk factors for all-cause mortality.
Conclusion: The unique mortality profile observed in this study should be considered when designing strategies for the management of patients with COPD in any geographic region.
© 2020 Makita et al.

Entities:  

Keywords:  cause of death; chronic obstructive pulmonary disease; cohort study; mortality

Mesh:

Year:  2020        PMID: 32943861      PMCID: PMC7481303          DOI: 10.2147/COPD.S264437

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

Japanese patients with chronic obstructive pulmonary disease (COPD) are generally older, thinner, and experience fewer exacerbations than do their Western counterparts, as shown by a literature search1 as well as direct comparisons made among patients with COPD recruited using the same inclusion criteria in various worldwide clinical trials.2,3 Thus, the mortality profile of Japanese patients might be unique and different from that reported elsewhere, particularly from the Western society. Generally, cardiovascular diseases, in addition to respiratory problems, are considered major causes of mortality in patients with COPD worldwide. However, this may not be the case in Japanese patients with COPD, as is shown in the Japanese general population,4 wherein lung cancer may be a serious cause of mortality. Knowledge about the existence of such a unique mortality profile, if any, would be vitally important in designing future strategies for the management of COPD not only in Japan but also in other geographic regions, considering the rapidly aging populations in developed countries. The Hokkaido COPD cohort study was a multi-center, prospective, observational, cohort study conducted in Japan, which aimed to examine the natural history and prognosis of Japanese patients with COPD.5–9 In this study, 279 Japanese patients with COPD were carefully followed up for 10 years, and 95% of them had accurate mortality data.9 Moreover, several longitudinal variables, such as annual changes in body weight and lung function as well as exacerbation frequency, were available, and these may be associated with mortality in patients with COPD. The aims of this study were to clarify the detailed characteristics of causes of death in Japanese patients with COPD, and to examine the relationship of such mortality with baseline variables as well as their longitudinal changes.

Materials and Methods

Patients

The patients’ details have been described elsewhere.5–9 Briefly, Japanese patients with COPD were recruited at Hokkaido University Hospital, Sapporo, Japan, and its nine affiliated hospitals from May 2003 to May 2005. Patients with clinically diagnosed asthma were excluded. During the first follow-up year, the diagnosis was reconfirmed on the basis of spirometric criteria of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines.10 A total of 279 patients with COPD (GOLD 1, 26%; GOLD 2, 45%; GOLD 3, 24%; and GOLD 4, 5%) were eligible for subsequent follow-up. This study was conducted in accordance with the Declaration of Helsinki. The Ethics Committee of Hokkaido University School of Medicine approved the study protocol (med02-001) and written informed consent was obtained from all patients.

Study Protocol

On the first visit, demographic information, including gender, age, height, weight, smoking history, medical history and any medications, information on pulmonary symptoms (chronic bronchitis, mMRC dyspnea scale), and comorbidities, was collected. Until the fifth year, information on COPD exacerbation was collected every month. Spirometry before and after bronchodilator inhalation was performed every 6 months. Diffusion capacity testing, chest computed tomography (CT), and health-related quality of life assessed using St. George’s Respiratory Questionnaire were performed every year. The severity of emphysema on chest CT scan was visually assessed by three independent pulmonologists according to the modified Goddard scoring system.5 Six images were analyzed in three slices in the lungs and an average score of all images was considered as a representative value of the severity of emphysema in each individual. Each image was classified as normal (score 0), up to 5% affected (score 0.5), up to 25% affected (score 1), up to 50% affected (score 2), up to 75% affected (score 3) and more than 75% affected (score 4). When the three independent pulmonologists disagreed in their evaluation, only the score assessed by the majority was taken. Exacerbation was defined as a worsening or new onset of either 1) two major symptoms (increased dyspnea, change in sputum purulence, or increased sputum volume) or 2) any one major symptom plus any minor symptoms (fever, increased cough, or wheezing) that required a prescription change.7 After the fifth year, spirometry and diffusion capacity testing were performed every year for those who agreed with the extension of the regular follow-up program until the tenth year. Spirometry data after the diagnosis of lung cancer were not used in this study. Majority of the patients continued to visit outpatient clinics for appropriate medical care even if they dropped out from the regular follow-up program.

Causes of Death Adjudication

A committee for mortality adjudication, comprising four physicians (HM, MS, SK, and MN) with clinical and research experience in internal and pulmonary medicine, centrally adjudicated the causes of death for all reported deaths in this study. Information on the fatal event including the death certificate, hospital discharge summary, and other hospital records (medical chart, pathology, radiology, and laboratory data) was collected where available. In cases of death out of each site hospital, the site coordinator or site physician attempted to ascertain information from family or witness interviews. The committee for mortality adjudication reviewed all information and discussed with the aim of developing a consensus. If the committee concluded that additional information might be needed to assign a more accurate cause of death, the case was referred back to the study site hospital in order to obtain additional information. The primary causes of death were classified into respiratory diseases (including respiratory failure, pneumonia, and lung abscess), lung cancer, cancer in other organs, cardiovascular diseases (including heart failure, ischemic heart diseases, aortic aneurysm rupture, aortic dissection, cerebral infarction, and cerebral hemorrhage), and other reasons.

Statistical Analysis

Differences between survivors and non-survivors were analyzed using Student’s t-test, the Mann–Whitney U-test, or Fisher’s exact test, as appropriate. Risk factors for mortality were analyzed using the Kaplan–Meier method with the Log-rank test and multivariate Cox proportional hazards models. Covariate selection for inclusion in the models was based on potential confounding variables known to affect COPD mortality. We treated the CT emphysema score and diffusion capacity (carbon monoxide transfer coefficient: Kco) at baseline separately, because they were mutually correlated. The annual changes in body weight and post-bronchodilator FEV1 during the first 5 years were estimated using linear mixed-effects models. For baseline and longitudinal variables found to be significant, classification and regression tree (CART) analysis was used to identify cut-points that discriminated the patients at high risk of all-cause mortality. Statistical significance was defined as p<0.05. All analyses were performed using R version 3.1.2 (The R Foundation, ).

Results

Ten-Year Follow-Up Status of the Hokkaido COPD Cohort Study

in the shows the status of the regular follow-up program of the Hokkaido COPD cohort study during the 10 years. Among the 279 patients with spirometry-confirmed COPD by the first year, 102 (37%) completed the regular follow-up program for 10 years, and 265 (95%) had mortality data during the 10-year follow-up period. Among them, 180 (65%) discontinued spirometric follow-up during the 10 years (the reasons for discontinuance of spirometric follow-up are shown in in the ). The median number of spirometric assessments per subject was 12 (interquartile range [IQR]: 7–16). The median follow-up period for valid spirometry was 6.6 years (IQR: 3.9–10.0 years) and that for mortality was 9.9 years (IQR: 6.4–10.0 years; Figure 1). During the 10 years, 112 (40%) patients died, 14 (5%) could not be censored, and 153 (55%) survived. Non-survivors were significantly older and had lower body mass index (BMI), worse lung function, higher CT emphysema scores, and lower leptin/adiponectin ratio than did the survivors (Table 1).
Figure 1

Kaplan–Meier curve for all-cause mortality for all patients.

Table 1

Baseline Characteristics of 10-Year Survivors and Non-Survivors

SurvivorsNon-Survivorsp value
Number of patients153112
Age, years old67± 874 ± 5<0.001a
Female sex, N (%)11 (7)3 (3)0.16c
BMI, kg/m223 ± 321 ± 30.001a
Current smoker at entry, N (%)45 (29)28 (25)0.46c
Smoking index at entry, pack-years66 ± 3258 ± 250.07a
Lung function
 Post-BD FEV1, L1.88 ± 0.671.54 ± 0.61<0.001a
 Post-BD FEV1, % predicted68 ± 2259 ± 210.004a
 Post-BD FEV1/FVC0.53 ± 0.130.48 ± 0.120.001a
 DLco, % predicted81 ± 2473 ± 260.009a
 Kco, % predicted68 ± 2357 ± 24<0.001a
Patient-reported outcomes
 Chronic bronchitis, N (%)17 (11)12 (11)1.00c
 mMRC dyspnea scale1 (1–2)2 (1–2)0.04b
 SGRQ total score30 ± 1734 ± 180.13a
Laboratory values
 Leptin/adiponectin ratio0.70 (0.35–1.62)0.39 (0.17–0.87)<0.001b
CT emphysema score1.00 (0.50–2.00)1.50 (0.83–2.33)<0.001b
Comorbidities
 Any cardiovascular disease30 (20)29 (26)0.24c
 Ischemic heart disease10 (7)7 (6)1.00c
 Diabetes8 (5)5 (4)1.00c
 Charlson comorbidity index0 (0–1)0 (0–1)0.29b

Notes: Fourteen patients whose 10-year survival data were absent were not included in this table. Data are shown as means ± SD, median (interquartile range), or number (%). aStudent’s t-test, bMann–Whitney U-test, cFisher’s exact test.

Abbreviations: Post-BD, post-bronchodilator; DLco, carbon monoxide diffusion capacity; Kco, carbon monoxide transfer coefficient.

Baseline Characteristics of 10-Year Survivors and Non-Survivors Notes: Fourteen patients whose 10-year survival data were absent were not included in this table. Data are shown as means ± SD, median (interquartile range), or number (%). aStudent’s t-test, bMann–Whitney U-test, cFisher’s exact test. Abbreviations: Post-BD, post-bronchodilator; DLco, carbon monoxide diffusion capacity; Kco, carbon monoxide transfer coefficient. Kaplan–Meier curve for all-cause mortality for all patients.

Ten-Year Mortality in Patients with COPD

The 112 non-survivors during the 10-year follow-up period had a median survival time of 6.1 years (IQR: 4.7–7.9 years) (Figure 1), and their age at death was 79 ± 6 years old (mean ± SD). Among them, 45 (40%) died of respiratory diseases, 24 (21%) from lung cancer, 18 (16%) from cancer in other organs, 12 (11%) from cardiovascular diseases, and 13 (12%) from other diseases or reasons (Figure 2). The median survival time was not significantly different for the various causes of death (data is not shown). Severer airflow limitation (higher GOLD stage) and older age at baseline were associated with a higher proportion of respiratory diseases as a cause of death, whereas younger age was associated with a higher proportion of lung cancer (Figure 2). In particular, lung cancer-related death was equally distributed across all COPD stages (GOLD 1, 23%; GOLD 2, 23%; GOLD 3 and 4, 20%), and a high proportion of lung cancer-related death (42%) was seen in the relatively younger population (<64 years old) (Figure 2).
Figure 2

Proportion of causes of death.

Proportion of causes of death. Among the baseline variables, a higher severe CT emphysema score or lower diffusion capacity were associated with all-cause mortality and death from respiratory diseases independent of older age (Table 2). A lower BMI was also associated with death from respiratory diseases (Table 2). A Kaplan–Meier curves for the classification groups according to the CT emphysema scores at baseline showed clear separation (Figure 3A). Furthermore, among subjects who survived during the first 5 years, the annual declines in body weight and post-bronchodilator FEV1 during the first 5 years, but not exacerbation frequency, were associated with all-cause mortality and death from respiratory diseases even after adjustment for baseline variables (Table 3). A CART analysis including significant baseline (BMI and CT emphysema score) and longitudinal variables (annual changes in body weight and post-bronchodilator FEV1 during the first 5 years) revealed that CT emphysema score > 3.167 (emphysema area > around 75%) at baseline and an annual loss of body weight ≥ 0.458 kg/year were associated with a poor prognosis after 5 years of follow-up (Figure 3B).
Table 2

Risk Factors of Baseline Variables for All-Cause Mortality (A) and Death from Respiratory Diseases (B)

A. All-Cause MortalityKco ExcludedCT Emphysema Score Excluded
Hazard Ratio (95% CI)p valueHazard Ratio (95% CI)p value
Sex (male)2.20 (0.65–7.43)0.192.23 (0.67–7.46)0.19
Age (10 years older)1.12 (1.08–1.16)<0.0011.12 (1.08–1.16)<0.001
BMI (1 kg/m2 increase)0.92 (0.84–1.01)0.080.94 (0.86–1.04)0.23
Pack-years (10 pack-years increase)0.93 (0.87–1.01)0.070.94 (0.87–1.00)0.07
mMRC dyspnea scale (1 grade increase)0.92 (0.69–1.23)0.590.88 (0.66–1.04)0.39
Post-BD FEV1%predicted (10% increase)0.97 (0.88–1.07)0.540.93 (0.85–1.02)0.22
Kco %predicted (10% increase)--0.89 (0.81–0.98)0.01
CT emphysema score (1 point increase)1.36 (1.08–1.72)0.009--
Charlson Comorbidity Index (1 point increase)0.92 (0.69–1.46)0.281.10 (0.86–1.40)0.47
Leptin/adiponectin ratio (1 log10 increase)1.00 (0.86–1.17)0.960.99 (0.85–1.15)0.92
B. Death From Respiratory DiseasesKco ExcludedCT Emphysema Score Excluded
Hazard Ratio (95% CI)p valueHazard Ratio (95% CI)p value
Sex (male)4.77e+07 (0-∞)1.001.65e+07 (0-∞)1.00
Age (10 years older)1.17 (1.10–1.25)<0.0011.16 (1.10–1.23)<0.001
BMI (1 kg/m2 increase)0.79 (0.68–0.92)0.0020.47 (0.72–0.99)0.04
Pack-years (10 pack-years increase)1.04 (0.93–1.15)0.521.03 (0.93–1.14)0.62
mMRC dyspnea scale (1 grade increase)0.96 (0.58–1.59)0.860.94 (0.57–1.55)0.81
Post-BD FEV1%predicted (10% increase)0.89 (0.75–1.06)0.190.83 (0.70–0.99)0.04
Kco %predicted (10% increase)--0.78 (0.67–0.92)0.003
CT emphysema score (1 point increase)1.94 (1.32–2.86)<0.001--
Charlson Comorbidity Index (1 point increase)1.49 (1.05–2.11)0.021.33 (0.93–1.88)0.12
Leptin/adiponectin ratio (1 log10 increase)1.16 (0.90–1.49)0.251.10 (0.87–1.39)0.41

Notes: 261 subjects who had 10-year mortality data as well as data of all variables were analyzed. All variables listed were included into the multivariate Cox proportional hazards models. Covariate selection for inclusion in the models was based on potential confounding variables known to affect COPD mortality. CT emphysema score and Kco %predicted were treated separately, because they were mutually correlated.

Abbreviations: CI, confidence interval; Post-BD, post-bronchodilator; Kco, carbon monoxide transfer coefficient.

Figure 3

Risk factors for all-cause mortality. (A) Kaplan–Meier curves for all-cause mortality according to the CT emphysema score at baseline. (B) Classification tree produced by CART analysis of risk factors for all-cause mortality during the last 5 years.

Table 3

Risk Factors of Longitudinal Variables During the First 5 Years for All-Cause Mortality (A) and Death from Respiratory Diseases During the Last 5 Years (B)

A. All-Cause MortalityModel 1Model 2
Hazard Ratio (95% CI)p valueHazard Ratio (95% CI)p value
Annual body weight change (1 kg/year increase)0.31 (0.16–0.53)<0.0010.36 (0.19–0.69)0.002
Annual post-BD FEV1 change (1 mL/year increase)0.99 (0.98–0.997)0.0070.99 (0.97–0.998)0.02
Exacerbation frequency (per 1 prescription change event)1.09 (0.50–2.39)0.820.75 (0.33–1.69)0.49
B. Death From Respiratory DiseasesModel 1Model 2
Hazard Ratio (95% CI)p valueHazard Ratio (95% CI)p value
Annual body weight change (1 kg/year increase)0.17 (0.07–0.42)<0.0010.26 (0.09–0.75)0.01
Annual post-BD FEV1 change (1 mL/year increase)0.98 (0.97–0.994)0.0040.98 (0.96–1.00)0.05
Exacerbation frequency (per 1 prescription change event)2.68 (1.11–6.44)0.030.82 (0.33–2.06)0.68

Notes: 231 subjects who survived during the first 5 years were analyzed. Model 1: Multivariate Cox proportional hazards models using the three longitudinal variables. Model 2: Multivariate Cox proportional hazards models using the three longitudinal variables adjusted by baseline variables (sex, age, BMI, pack-years, mMRC dyspnea scale, post-BD FEV1%predicted, CT emphysema score, Charlson Comorbidity Index, leptin/adiponectin ratio).

Abbreviations: CI, confidence interval; Post-BD, post-bronchodilator.

Risk Factors of Baseline Variables for All-Cause Mortality (A) and Death from Respiratory Diseases (B) Notes: 261 subjects who had 10-year mortality data as well as data of all variables were analyzed. All variables listed were included into the multivariate Cox proportional hazards models. Covariate selection for inclusion in the models was based on potential confounding variables known to affect COPD mortality. CT emphysema score and Kco %predicted were treated separately, because they were mutually correlated. Abbreviations: CI, confidence interval; Post-BD, post-bronchodilator; Kco, carbon monoxide transfer coefficient. Risk Factors of Longitudinal Variables During the First 5 Years for All-Cause Mortality (A) and Death from Respiratory Diseases During the Last 5 Years (B) Notes: 231 subjects who survived during the first 5 years were analyzed. Model 1: Multivariate Cox proportional hazards models using the three longitudinal variables. Model 2: Multivariate Cox proportional hazards models using the three longitudinal variables adjusted by baseline variables (sex, age, BMI, pack-years, mMRC dyspnea scale, post-BD FEV1%predicted, CT emphysema score, Charlson Comorbidity Index, leptin/adiponectin ratio). Abbreviations: CI, confidence interval; Post-BD, post-bronchodilator. Risk factors for all-cause mortality. (A) Kaplan–Meier curves for all-cause mortality according to the CT emphysema score at baseline. (B) Classification tree produced by CART analysis of risk factors for all-cause mortality during the last 5 years.

Discussion

In this study, we clarified the characteristics of causes of death in Japanese patients with COPD, approximately 70% of whom were classified as having GOLD spirometric stages 1 and 2. The most frequent cause of death was respiratory diseases (40%) including respiratory failure and pneumonia, followed by lung cancer (21%) and cancer in other organs (17%), whereas death from cardiovascular diseases was observed only in 11% of all COPD stages. We also found that a higher emphysema score and lower diffusion capacity at baseline, as well as a rapid decline in body weight and post-bronchodilator FEV1 during the first 5 years, were significant risk factors for mortality. Notably, the mean age at death among patients with COPD was 79 years old, which was almost the same age as the average life expectancy for Japanese men (80.79 years old in 2015). This implies that patients with COPD could possibly have a life expectancy similar to that of the general population. As expected, respiratory diseases such as pneumonia and respiratory failure were the most frequent causes of death, and this was especially so in patients with severer airflow limitation and older age (Figure 2). In particular, lung cancer was the leading cause of death among younger patients (<64 years old). In addition, lung cancer was almost equally distributed, accounting for over 1 of 5 deaths, irrespective of the GOLD spirometric stage (Figure 2). The incidence of lung cancer in patients with COPD has been reported to be high elsewhere;11 therefore, efforts for careful screening of lung cancer would be crucial in the management of COPD, particularly in younger patients with mild or moderate COPD. In contrast, cardiovascular diseases accounted for only 11% of deaths in this study, which was significantly less than that previously reported in Western countries or multinational large-scale clinical trials (19–39%),11–16 where the characteristics of patients with COPD (age, gender, the degree of airflow limitation) were not necessarily similar to this study. This lower prevalence of cardiovascular diseases is in line with another report from Japan17 as well as a sub-analysis of the TIOSPIR study in Asian patients with COPD.18 Japan is known to have a much lower mortality from coronary heart disease, which may be attributed to the lower prevalence of hypercholesterolemia and glucose abnormality in Japanese populations than in Western populations.19 A lower average BMI related with higher blood adiponectin levels20,21 might also contribute to the lower morality from cardiovascular diseases. However, the incidence of coronary heart disease has increased among middle-aged men in the urban areas of Japan, and this has been accompanied by an increase in the prevalence of overweight mainly due to higher saturated fat intake and a lower level of physical activity.22 Indeed, the mortality rate from cardiovascular diseases in Japan has been on the rise since 2000 according to data from the Global Burden of Disease.23 Therefore, the prevalence of death from cardiovascular diseases among patients with COPD may increase in the future even in Japan, and this will be a potential concern for the clinical management of Japanese patients with COPD. We found that severer emphysema at baseline was an important risk factor for all-cause and respiratory mortality. This observation is consistent with that of a previous Japanese report.17 Indeed, emphysema severity was associated with a rapid annual decline in FEV1 in this cohort.6 Further, lower diffusion capacity (suggesting the presence of emphysema) was an important risk factor for the development of lung cancer in another Western cohort.24 Collectively, the evaluation of the degree of emphysema on CT is very important for predicting the prognosis of patients with COPD. We did not find significant associations with all-cause mortality in the multivariate models for several baseline variables (mMRC dyspnea scale, FEV1, comorbidities) which have been previously reported to be risk factors for mortality in patients with COPD.25–27 The explanation for this discrepancy would come from the fact that the proportion of patients with mild symptoms and mild to moderate airflow limitation (GOLD 1 and 2) was high in this study. Regarding comorbidities, the Charlson Comorbidity Index was used as a comprehensive index in this study. More disease-specific index, such as the COPD specific comorbidity test (COTE),27 may be more discriminative against mortality. In addition to baseline variables, longitudinal variables, ie, annual changes in body weight and lung function, were associated with mortality in patients with COPD. In particular, the rapid annual body weight loss during the first 5 years was strongly associated with shorter survival thereafter (Figure 3). A high basal metabolic rate due to pathologic conditions is a risk factor for mortality.28 In addition, the Baltimore Longitudinal Study of Aging showed that the increased rate of body weight loss had started around 9 years before death for all-cause mortality.29 Therefore, the rate of body weight loss, as well as lung function decline, seems to be a useful disease marker for future mortality risk in patients with COPD. Although the sample size of this study was smaller than that of several previous large-scale observational cohort studies, the strengths of this study were its careful design and intensive analysis. Therefore, it was possible to collect very accurate mortality data for a 10-year period with a very low dropout rate. In addition, the majority of the patients continued to visit outpatients’ clinics regularly even after they dropped out from the study,9 and thus the data on causes of death were highly accurate. Nevertheless, this study has some other limitations. First, the unique mortality profile may or may not be applicable to other Asian populations or to other developed Western societies with rapidly aging populations. However, we wish to share the fact that the mortality profile in Japanese patients with COPD is very different from that reported elsewhere, and hope to shed light on new aspects of the natural history of COPD. Second, the majority of the patients were male, and the findings may not necessarily be extrapolated to female patients with COPD. However, the extreme male predominance in Japanese patients with COPD has been reported in several clinical studies.1–3 Third, we did not collect exacerbation data for the last 5 years, and this might have affected the mortality profile. Lastly, there may be a survival bias in the recruitment of subjects in this study. The mean age at baseline of whole subjects was 69 years old; therefore, we only recruited those who reached the age and missed those who died at an earlier age, which might be associated with unique mortality profile in this study. However, it must be noted that the mean age of Japanese patients with COPD requited for most clinical studies, including some worldwide clinical trials, was also around 70 years old, which was definitely older than around 65 years old reported from other countries.1–3 This fact suggests that the subjects in this study reflect well the reality of Japanese patients with COPD.

Conclusion

In summary, the most frequent cause of death in Japanese patients with COPD, including all GOLD stages, was respiratory diseases, followed by lung cancer. However, death from cardiovascular diseases was far less frequent than that reported for Western populations. In particular, lung cancer-related death was equally distributed across all COPD stages, and a higher proportion of lung cancer was seen in the relatively younger generation (<64 years old). The unique mortality profile observed in this study should be considered when designing strategies for the management of patients with COPD in any geographic region.
  26 in total

1.  CT scan findings of emphysema predict mortality in COPD.

Authors:  Akane Haruna; Shigeo Muro; Yasutaka Nakano; Tadashi Ohara; Yuma Hoshino; Emiko Ogawa; Toyohiro Hirai; Akio Niimi; Koichi Nishimura; Kazuo Chin; Michiaki Mishima
Journal:  Chest       Date:  2010-04-09       Impact factor: 9.410

2.  Tiotropium Respimat inhaler and the risk of death in COPD.

Authors:  Robert A Wise; Antonio Anzueto; Daniel Cotton; Ronald Dahl; Theresa Devins; Bernd Disse; Daniel Dusser; Elizabeth Joseph; Sabine Kattenbeck; Michael Koenen-Bergmann; Gordon Pledger; Peter Calverley
Journal:  N Engl J Med       Date:  2013-08-30       Impact factor: 91.245

3.  Ascertainment of cause-specific mortality in COPD: operations of the TORCH Clinical Endpoint Committee.

Authors:  Lorcan P McGarvey; Matthias John; Julie A Anderson; Michael Zvarich; Robert A Wise
Journal:  Thorax       Date:  2007-02-20       Impact factor: 9.139

4.  Annual change in pulmonary function and clinical phenotype in chronic obstructive pulmonary disease.

Authors:  Masaharu Nishimura; Hironi Makita; Katsura Nagai; Satoshi Konno; Yasuyuki Nasuhara; Masaru Hasegawa; Kaoruko Shimizu; Tomoko Betsuyaku; Yoichi M Ito; Satoshi Fuke; Takeshi Igarashi; Yasushi Akiyama; Shigeaki Ogura
Journal:  Am J Respir Crit Care Med       Date:  2012-01-01       Impact factor: 21.405

5.  Lung cancer in patients with chronic obstructive pulmonary disease-- incidence and predicting factors.

Authors:  Juan P de Torres; Jose M Marín; Ciro Casanova; Claudia Cote; Santiago Carrizo; Elizabeth Cordoba-Lanus; Rebeca Baz-Dávila; Javier J Zulueta; Armando Aguirre-Jaime; Marina Saetta; Manuel G Cosio; Bartolome R Celli
Journal:  Am J Respir Crit Care Med       Date:  2011-10-15       Impact factor: 21.405

6.  Efficacy of tiotropium in COPD patients from Asia: a subgroup analysis from the UPLIFT trial.

Authors:  Yoshinosuke Fukuchi; Lenora Fernandez; Han-Pin Kuo; Aziah Mahayiddin; Bartolome Celli; Marc Decramer; Steven Kesten; Dacheng Liu; Donald Tashkin
Journal:  Respirology       Date:  2011-07       Impact factor: 6.424

7.  Lower leptin/adiponectin ratio and risk of rapid lung function decline in chronic obstructive pulmonary disease.

Authors:  Masaru Suzuki; Hironi Makita; Jörgen Östling; Laura H Thomsen; Satoshi Konno; Katsura Nagai; Kaoruko Shimizu; Jesper H Pedersen; Haseem Ashraf; Piet L B Bruijnzeel; Rose A Maciewicz; Masaharu Nishimura
Journal:  Ann Am Thorac Soc       Date:  2014-12

8.  High basal metabolic rate is a risk factor for mortality: the Baltimore Longitudinal Study of Aging.

Authors:  Carmelinda Ruggiero; E Jeffrey Metter; Vojtech Melenovsky; Antonio Cherubini; Samer S Najjar; Alessandro Ble; Umberto Senin; Dan L Longo; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-07       Impact factor: 6.053

9.  Comorbidities and risk of mortality in patients with chronic obstructive pulmonary disease.

Authors:  Miguel Divo; Claudia Cote; Juan P de Torres; Ciro Casanova; Jose M Marin; Victor Pinto-Plata; Javier Zulueta; Carlos Cabrera; Jorge Zagaceta; Gary Hunninghake; Bartolome Celli
Journal:  Am J Respir Crit Care Med       Date:  2012-05-03       Impact factor: 21.405

10.  The efficacy and safety of combined tiotropium and olodaterol via the Respimat(®) inhaler in patients with COPD: results from the Japanese sub-population of the Tonado(®) studies.

Authors:  Masakazu Ichinose; Hiroyuki Taniguchi; Ayako Takizawa; Lars Grönke; Lazaro Loaiza; Florian Voß; Yihua Zhao; Yoshinosuke Fukuchi
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2016-08-29
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  2 in total

1.  One-year clinically important deterioration and long-term clinical course in Japanese patients with COPD: a multicenter observational cohort study.

Authors:  Yuki Abe; Masaru Suzuki; Hironi Makita; Hirokazu Kimura; Kaoruko Shimizu; Satoshi Konno; Masaharu Nishimura
Journal:  BMC Pulm Med       Date:  2021-05-12       Impact factor: 3.317

2.  Annual Body Weight Change and Prognosis in Chronic Obstructive Pulmonary Disease.

Authors:  Yuki Abe; Masaru Suzuki; Hiroshi Shima; Yusuke Shiraishi; Naoya Tanabe; Susumu Sato; Kaoruko Shimizu; Hirokazu Kimura; Hironi Makita; Toyohiro Hirai; Satoshi Konno; Masaharu Nishimura
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2021-11-30
  2 in total

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