Literature DB >> 33209021

Clinical Characteristics and Outcomes of Patients with Asthma-COPD Overlap in Japanese Patients with COPD.

Seiichi Kobayashi1, Masakazu Hanagama1, Masatsugu Ishida1, Manabu Ono1, Hikari Sato1, Shinsuke Yamanda1,2, Masaru Yanai1.   

Abstract

Purpose: Asthma-COPD overlap (ACO) has been reported as an association with a lower quality of life, frequent exacerbations, and higher mortality than those with COPD alone. However, clinical characteristics and outcomes of ACO remain controversial. Patients and
Methods: We conducted a prospective observational study analyzing data of patients with stable COPD enrolled from the Ishinomaki COPD Network Registry. Patients with features of asthma who had a history of respiratory symptoms that vary over time and intensity, together with documented variable expiratory airflow limitation, were identified, and then defined as having ACO. The characteristics, frequency of exacerbations, and mortality during the 3-year follow-up were compared between patients with ACO and patients with COPD alone.
Results: Among 387 patients with COPD, 41 (10.6%) were identified as having ACO. Patients with ACO tended to be younger, have higher BMI, have a shorter smoking history, and use more respiratory medications, especially inhaled corticosteroids. Inflammatory biomarkers including fractional exhaled nitric oxide, blood eosinophil count, total immunoglobulin E (IgE) level, and presence of antigen-specific IgE were significantly higher in patients with ACO than in those with COPD alone. Lung function, mMRC score, CAT score, and comorbidity index were not different between the groups. The annual rate of all exacerbations and severe exacerbations required hospital admission were not different between ACO and COPD alone (0.20 vs 0.14, 0.12 vs 0.10, events per person, respectively). Mortality was significantly higher in patients with COPD alone compared with those with ACO during the study period (P=0.037).
Conclusion: The results of our study indicate that ACO is not associated with poor clinical features nor outcomes in an outpatient COPD cohort receiving appropriate treatment.
© 2020 Kobayashi et al.

Entities:  

Keywords:  COPD; asthma; asthma–COPD overlap; exacerbations; mortality

Mesh:

Year:  2020        PMID: 33209021      PMCID: PMC7669510          DOI: 10.2147/COPD.S276314

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


Introduction

Asthma and chronic obstructive pulmonary disease (COPD) are common and potentially serious chronic respiratory diseases that could induce substantial economic and social burden.1,2 These diseases show different features and have been regarded as two distinct entities. However, they are now recognized as heterogeneous and often overlap.3,4 The Global Initiative for Asthma (GINA) and the Global Initiative for Chronic Obstructive Lung Disease (GOLD) issued a joint document describing asthmaCOPD overlap (ACO), which characterized ACO as persistent airflow limitation with several features usually associated with asthma and several features usually associated with COPD.1 ACO have been recognized to be associated with a significantly lower quality of life,5,6 frequent exacerbations,5,7–9 increased hospitalization,5,9 and higher mortality3,10 than those with asthma or COPD alone. However, clinical features and outcomes of ACO remain controversial in the real-world COPD population. We conducted a prospective observational study to investigate the prevalence and clinical characteristics of ACO in community-dwelling patients with COPD. We also evaluated the exacerbation rates and mortality of patients affected by ACO during a 3-year follow-up.

Patients and Methods

Study Design

We analyzed prospectively collected data from the Ishinomaki COPD Network (ICON) Registry.11,12 Baseline data were obtained at consecutive scheduled patient visits or newly patient registration between May 2015 and June 2016, and the participants were followed for 3 years. ICON is a regional medical cooperation system that aims to provide comprehensive care for patients with COPD with a multicenter interprofessional collaboration including respiratory specialists, general practitioners, nurses, therapists, pharmacists, and other healthcare providers in Ishinomaki and surrounding cities in Japan.11,12 Patients are registered in ICON, then receive the standard care in general practice clinics according to the guidelines,2,13 and undergo scheduled examinations and education at the Japanese Red Cross Ishinomaki Hospital (a 452-bed tertiary community hospital) every 6–12 months. The patient education program included early recognition of exacerbation and a written action plan for an exacerbation using a self-management diary. Patients were prescribed with short-acting bronchodilators, but not oral corticosteroids or antibiotics, for self-administration during exacerbations. Patients with an exacerbation of COPD were treated by general practitioners at first and would be referred to the Japanese Red Cross Ishinomaki Hospital if necessary. This research is part of an ongoing COPD cohort study registered with the UMIN Clinical Trials Registry (identifier UMIN000017376). The study was conducted in accordance with the ethical principles laid out in the Declaration of Helsinki, and was approved by the Ethics Committee at the Japanese Red Cross Ishinomaki Hospital (approval number: 12–14-1). All patients provided written informed consent.

Patients

Patients were included if they were aged ≥40 years with a smoking history of at least 10 pack-years and had been diagnosed with COPD according to the GOLD criteria.2 Persistent airflow limitation, defined as post-bronchodilator forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) <0.7, was confirmed by spirometry. Exclusion criteria included chronic bronchitis or emphysema without airflow limitation, history of lung resection, tuberculosis, and exacerbation of COPD in the 4 weeks preceding data collection.

Clinical and Physiologic Measurements

The sociodemographic characteristics and smoking history of each patient were recorded at baseline. Body mass index (BMI) was calculated as the body weight divided by the square of the body height (kg/m2). Dyspnea was evaluated using the modified Medical Research Council dyspnea questionnaire (mMRC) score.2,13 Health status impairment of COPD was measured using the COPD Assessment Test (CAT), which is an 8-item questionnaire with possible scores ranging from 0 to 40 where higher scores indicate the reduced quality of life.14,15 Comorbidities were evaluated using the Charlson comorbidity index.16 Spirometry was performed by a trained technician following published guidelines,17 while the patients were in a stable condition. The severity of airflow limitation was evaluated as the GOLD staging.2 The ABCD assessment was performed according to the 2017 GOLD report.2,12

Biomarker Measurements

Measurement of inflammatory biomarkers were conducted as described previously.11 Fractional exhaled nitric oxide (FENO) level was measured using the NIOX MINO device (Aerocrine, Morrisville, NC, USA) prior to performing spirometry according to the guidelines.18 Blood samples were obtained to determine blood eosinophil count, and total serum immunoglobulin E (IgE) levels on the same day as FENO measurement. The cut-off value of total serum IgE level was set at 173 IU/mL according to the reference range at the hospital. The presence of antigen-specific IgE was determined by using the ImmunoCAP Phadiatop test (Thermo Fisher Scientific, Uppsala, Sweden), an in vitro assay for antigen-specific IgE antibodies to common inhalant allergens.

Diagnosis of ACO

In this study participants fulfilled the features of COPD, such as age ≥40 years, confirmed persistent airflow limitation by spirometry, and exposure to cigarette smoke. COPD patients with features of asthma who had a history of respiratory symptoms together with documented variable expiratory airflow limitation were identified as ACO. A history of respiratory symptoms, such as wheezing, shortness of breath, chest tightness, and cough, that vary over time and intensity, were evaluated based on medical records. Variable expiratory airflow limitation, which defined as a post-bronchodilator increase in FEV1 of >12% and >200 mL from baseline, or an increase in FEV1 by >12% and >200 mL (or peak expiratory flow by >20%) from baseline after 4 weeks of anti-inflammatory treatment, were assessed prior to biomarker measurement.

Longitudinal Assessment

The exacerbations during the 3-year follow-up were evaluated at the scheduled annual visit by direct patient interview, self-management diaries completed by the patient or caregivers, referral letters from general practitioners, and review of medical records. Exacerbations were defined as the use of antibiotics and/or systemic corticosteroids for the worsening of respiratory symptoms without evidence that would suggest an alternate diagnosis.2 Mild exacerbations treated with short-acting bronchodilators only were excluded from the study. All-cause mortality was assessed by telephone interview, referral letters from general practitioners, and review of medical records during the study period.

Statistical Analysis

The data are shown as the median with interquartile range or mean ± standard deviation (SD) unless otherwise specified. Differences between two groups were assessed using the Student’s t-test or Mann–Whitney U-test. Odds ratios for exacerbations were estimated by logistic regression analysis. Survival analysis was performed using the Kapkan–Meier method and Log Rank test to compare the survival curve between the groups. All statistical analyses were performed using EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan), which is a graphical user interface for R (The R Foundation for Statistical Computing, Vienna, Austria).19 P-values less than 0.05 were considered statistically significant.

Results

Characteristics of the Study Patients

A total of 387 eligible patients (354 men, 33 women; median age, 75 years) were identified. Among these, 53 (13.7%) had a history of variable respiratory symptoms, 85 (22.0%) had variable expiratory airflow limitation, and 41 (10.6%) had both features and were identified as having ACO. Among the 41 patients with ACO, none had childhood respiratory symptoms, but 2 (4.9%) displayed symptoms before the age of 40 years. Four (9.8%) patients showed an airflow improvement with bronchodilator in FEV1 of >12% and >400 mL from the baseline.

Clinical Characteristics of Patients with ACO

Characteristics between patients with and without ACO are shown in Table 1. Patients with ACO tended to be younger (P = 0.003) with a higher BMI (P = 0.016) and less smoking history (P = 0.027). Rhinitis was observed more frequently in ACO compared with COPD alone. Lung function (FEV1, %FEV1, and FVC), dyspnea (mMRC score), symptoms (CAT score), and comorbidity index were not different between the groups. Patients with ACO tended to use more respiratory medications, especially inhaled corticosteroids (ICS) compared to patients with COPD alone (P < 0.001).
Table 1

Characteristics of the Patients with and without ACO

CharacteristicsACO (+)(n = 41)ACO (-)(n = 346)P value
Age, y71.4 ± 6.674.9 ± 7.40.003
Female5 (12.1)28 (8.0)0.374
BMI, kg/m224.9 ± 4.423.3 ± 3.70.016
Smoking history, pack-years47.5 ± 28.758.3 ± 29.70.027
Current-smoking2 (4.9)36 (10.4)0.404
Rhinitis4 (9.8)12 (3.5)0.079
FEV1, L1.71 ± 0.621.53 ± 0.620.095
%FEV1, %67.1 ± 21.461.6 ± 21.20.118
FVC, L3.27 ± 0.903.09 ± 1.450.442
GOLD stage0.720
 111 (26.8)69 (19.9)
 221 (51.2)177 (51.2)
 37 (17.1)72 (20.8)
 42 (4.9)28 (8.1)
GOLD groups0.831
 A28 (68.3)207 (59.8)
 B10 (24.4)104 (30.1)
 C1 (2.4)15 (4.3)
 D2 (4.9)20 (5.8)
mMRC score1 (1)1 (2)0.061
CAT score5 (7)5 (7)0.204
Charlson comorbidity index1 (1)1(1)0.115
Regular medicationa
 LAMA34 (82.9)291 (84.1)0.823
 LABA35 (85.4)207 (59.8)0.001
 ICS39 (95.1)115 (33.2)<0.001
 Theophylline10 (24.4)35 (10.1)0.016
 Home oxygen therapy3 (7.3)40 (11.6)0.600

Notes: Data are shown as mean ± SD or median (interquartile range) or number (%). aMedication could be used alone or in combination.

Abbreviations: ACO, asthma–COPD overlap; BMI, body mass index; CAT, COPD Assessment Test; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; ICS, inhaled corticosteroid; LABA, long-acting beta-agonist; LAMA, long-acting muscarinic antagonist; mMRC, modified Medical Research Council dyspnea questionnaire.

Characteristics of the Patients with and without ACO Notes: Data are shown as mean ± SD or median (interquartile range) or number (%). aMedication could be used alone or in combination. Abbreviations: ACO, asthmaCOPD overlap; BMI, body mass index; CAT, COPD Assessment Test; FEV1, forced expiratory volume in 1 s; FVC, forced vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; ICS, inhaled corticosteroid; LABA, long-acting beta-agonist; LAMA, long-acting muscarinic antagonist; mMRC, modified Medical Research Council dyspnea questionnaire. Inflammatory biomarkers including FENO, eosinophil count, total IgE level, and presence of allergen-specific IgE were significantly higher in patients with ACO than in those with COPD alone (Table 2).
Table 2

Inflammatory Biomarkers in Patients with and without ACO

ACO (+)(n = 41)ACO (-)(n = 346)P value
FENO level, ppba33.4 ± 20.821.8 ± 13.3<0.001
>35 ppb16 (39.0)44 (12.7)<0.001
Blood eosinophil count, cells/μL252 ± 150197 ± 1530.030
>300 cells/μL12 (29.3)52 (14.6)0.035
Total serum IgE level, IU/mLb708 ± 1228218 ± 376<0.001
High total IgE22 (53.7)105 (30.3)0.004
Presence of antigen-specific IgEb25 (61.0)103 (29.8)<0.001

Notes: Data are shown as mean ± SD or number (%). a9 patients without ACO could not be measure FENO due to their poor procedure. b13 patients without ACO did not measure total IgE and allergen-specific IgE.

Abbreviations: ACO, asthma–COPD overlap; FENO, fractional exhaled nitric oxide; IgE, Immunoglobulin E.

Inflammatory Biomarkers in Patients with and without ACO Notes: Data are shown as mean ± SD or number (%). a9 patients without ACO could not be measure FENO due to their poor procedure. b13 patients without ACO did not measure total IgE and allergen-specific IgE. Abbreviations: ACO, asthmaCOPD overlap; FENO, fractional exhaled nitric oxide; IgE, Immunoglobulin E.

Clinical Outcomes of the Patients with ACO

Among 387 patients, 385 (99.5%) completed the 1-year follow-up. Exacerbations were observed in 22.5% (9/40) and 11.6% (40/345) of the ACO and non-ACO group during the study period, respectively (P=0.087). The frequency of exacerbations was not different between the ACO and non-ACO groups (0.27 ± 0.55 vs 0.14 ± 0.43 events per person, P=0.078). Exacerbations that required hospital admissions were observed in 12.5% (5/40) and 8.1% (28/345) of the ACO and non-ACO groups, respectively (P=0.522). The frequency of exacerbations that required hospital admissions were not different between the ACO and non-ACO groups (0.15 ± 0.42 vs 0.095 ± 0.34 events per person, respectively; P=0.353). Among 387 patients, 359 (92.8%) completed the 3-year follow-up. Exacerbations were observed in 28.9% (11/38) and 28.0% (90/321) of the ACO and non-ACO group, respectively, during the study period (P=0.941, Table 3). The annual rate of exacerbations was not different between the ACO and non-ACO groups (0.20 ± 0.37 vs 0.14 ± 0.31 events per person per year, P=0.338). Exacerbations that required hospital admissions were observed in 18.4% (7/38) and 20.2% (65/321) of the ACO and non-ACO groups, respectively (P=0.958, Table 3). The annual rate of exacerbations that required hospital admissions were not different between the ACO and non-ACO groups (0.12± 0.31 vs 0.10 ± 0.26 events per person per year, respectively; P=0.732). Patients with ACO had an odds ratio of 1.05 (95% confidence interval [CI] 0.50–2.20) for the risk of all exacerbations and 0.89 (95% CI 0.38–2.11) for risk of hospital admission relative to COPD alone. Patients with ACO had an odds ratio of 1.05 (95% confidence interval [CI] 0.45–2.20) for the risk of all exacerbations and 0.89 (95% CI 0.38–2.11) for risk of hospital admission relative to COPD alone. Patients with ACO had an odds ratio of 1.27 (95% confidence interval [CI] 0.59–2.77) for the risk of all exacerbations and 1.29 (95% CI 0.52–3.23) for risk of hospital admission relative to COPD alone even adjusted age, smoking history, and BMI.
Table 3

Outcomes in Patients with and without ACO

ACO (+)(n = 38)ACO (-)(n = 321)P value
Exacerbations
 All11 (28.9)90 (28.0)0.941
 Hospitalization7 (18.4)65 (20.2)0.958
All-cause mortality0 (0)41 (12.9)0.037

Note: Data are shown as number (%).

Abbreviation: ACO, asthma–COPD overlap.

Outcomes in Patients with and without ACO Note: Data are shown as number (%). Abbreviation: ACO, asthmaCOPD overlap. All-cause mortality was 0% (0/38) in ACO group and 12.9% (41/319) in non-ACO during the 3-year study period (Table 3). Mortality was significantly higher in non-ACO group compared with ACO group (P=0.037). The estimated survival rates at 3 years were significant worse in COPD alone compared with ACO (hazard ratio, 0.874; 95% CI, 0.832–0.906).

Discussion

In this study, we have shown the prevalence, clinical characteristics and outcomes of ACO in community-dwelling Japanese patients with COPD. The results of our study show that approximately 10% of community-dwelling patients with COPD fulfilled the ACO phenotype. In epidemiological studies, reported prevalence rate for ACO have ranged between 9% and 55%, with variation by sex and age, which reflects the different criteria that have been used by different investigators for diagnosing asthma and COPD.1 Our findings are consistent with a previous report by Inoue and colleagues that the prevalence of ACO was 9.2% in outpatient Japanese patients with COPD,20 and are similar to reports from Europe7,21 and the US.8 The results of our study demonstrated that patients with ACO tended to be younger, had higher BMI, which is consistent with the previous systematic review.5 Recent studies described that FENO levels are increased in a subset of population with COPD,22,23 whereas blood and sputum eosinophil counts are increased in COPD patients with asthmatic symptoms.24 We have previously demonstrated that the biomarkers related with asthma including FENO, eosinophil count, and IgE could provide additional diagnostic information on ACO.11 The findings of the present study are concurrent with the results from these studies. To date, ACO has been considered to be associated with poorer clinical features and outcomes compared to those with asthma or COPD alone.5–10 However, the findings in our study did not indicate that the patients with ACO displayed worse lung function nor increased dyspnea and symptoms than the COPD patients without ACO. Furthermore, ACO was not associated with more frequent exacerbations nor higher mortality than those with COPD alone. These results suggest that asthma overlap may not be associated with poorer clinical features nor outcomes in patients with COPD receiving appropriate treatment. Recent studies reported that exacerbation rates12,20,21 and mortality21,25,26 were not different between COPD patients with or without ACO. Our findings are consistent with those of recent studies. Previous studies have attempted to identify the ACO phenotype by using different criteria, which could explain the discrepancies of outcomes among previous studies.27 In addition, the inappropriate treatment, such as a lack of consideration to ICS,28,29 could result in the disagreement of outcomes in ACO among the studies. The presence of asthma-like features such as bronchodilator reversibility, high blood eosinophils and atopy have been reported as better clinical outcomes in patients with COPD.30 High FENO level31 and blood eosinophilia32,33 have been identified as surrogate markers in response to steroid treatments in patients with COPD, suggesting that inhaled corticosteroid treatment may be beneficial in COPD patients with eosinophilic inflammation. The findings of these study support the view that ACO may not be associated with poor outcomes if receiving appropriate treatment. The primary strengths of our study are its prospective observational design and inclusion of community-dwelling patients with COPD, reflecting the real-world COPD population in Japan. A major limitation in this study is that the results were not confirmed by an external validation cohort. The results of our study cannot be generalized or applied directly to a different setting, such as an asthma cohort. The number of patients between ACO and COPD only was obviously different in this study. This might lead to be a potential bias of comparison between the groups. In addition, we could not estimate the effect of smoking on mortality in ACO because of no mortality events in patients with ACO. The patients with ACO had less smoking history compared with those with COPD alone in this study. Smoking cessation is an essential treatment of COPD to improve pulmonary function and symptoms.34–36 Impact of smoking history may be affected on the mortality in the study participants.

Conclusion

We have shown the prevalence and clinical characteristics of ACO in a cohort of Japanese patients with COPD. The results of this study provide evidence that the presence of asthma overlap may not be associated with poor clinical features nor outcomes in patients with COPD receiving appropriate treatment. The results of our study encourage better recognition of ACO and may guide appropriate treatment in patients with ACO.
  33 in total

1.  Effectiveness and Safety of Inhaled Corticosteroids in Older Individuals with Chronic Obstructive Pulmonary Disease and/or Asthma. A Population Study.

Authors:  Tetyana Kendzerska; Shawn D Aaron; Teresa To; Chris Licskai; Matthew Stanbrook; Nicholas T Vozoris; Mary-Ellen Hogan; Wan C Tan; Jean Bourbeau; Andrea S Gershon
Journal:  Ann Am Thorac Soc       Date:  2019-10

2.  Comparison of in-hospital mortality in patients with COPD, asthma and asthma-COPD overlap exacerbations.

Authors:  Yasuhiro Yamauchi; Hideo Yasunaga; Hiroki Matsui; Wakae Hasegawa; Taisuke Jo; Kazutaka Takami; Kiyohide Fushimi; Takahide Nagase
Journal:  Respirology       Date:  2015-05-21       Impact factor: 6.424

3.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

4.  Development of the Japanese version of the COPD Assessment Test.

Authors:  Tohru Tsuda; Rika Suematsu; Kumie Kamohara; Mariko Kurose; Ichiro Arakawa; Ryusuke Tomioka; Tomotaka Kawayama; Tomoaki Hoshino; Hisamichi Aizawa
Journal:  Respir Investig       Date:  2012-06-19

Review 5.  Asthma-COPD overlap syndrome (ACOS): A diagnostic challenge.

Authors:  Nguyen Van Tho; Hye Yun Park; Yasutaka Nakano
Journal:  Respirology       Date:  2015-10-08       Impact factor: 6.424

6.  The Asthma-COPD Overlap Syndrome: A Common Clinical Problem in the Elderly.

Authors:  Amir A Zeki; Michael Schivo; Andrew Chan; Timothy E Albertson; Samuel Louie
Journal:  J Allergy (Cairo)       Date:  2011-10-30

7.  The clinical features of the overlap between COPD and asthma.

Authors:  Megan Hardin; Edwin K Silverman; R Graham Barr; Nadia N Hansel; Joyce D Schroeder; Barry J Make; James D Crapo; Craig P Hersh
Journal:  Respir Res       Date:  2011-09-27

8.  Prevalence and characteristics of asthma-COPD overlap syndrome identified by a stepwise approach.

Authors:  Hiromasa Inoue; Takahide Nagase; Satoshi Morita; Atsushi Yoshida; Tatsunori Jinnai; Masakazu Ichinose
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2017-06-20

9.  Concurrent physician-diagnosed asthma and chronic obstructive pulmonary disease: A population study of prevalence, incidence and mortality.

Authors:  Tetyana Kendzerska; Mohsen Sadatsafavi; Shawn D Aaron; Teresa M To; M Diane Lougheed; J Mark FitzGerald; Andrea S Gershon
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

10.  Inflammatory biomarkers in asthma-COPD overlap syndrome.

Authors:  Seiichi Kobayashi; Masakazu Hanagama; Shinsuke Yamanda; Masatsugu Ishida; Masaru Yanai
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2016-09-07
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  1 in total

1.  Clinical Indicators for Asthma-COPD Overlap: A Systematic Review and Meta-Analysis.

Authors:  Junjie Peng; Min Wang; Yanqiu Wu; Yongchun Shen; Lei Chen
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2022-10-12
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