Literature DB >> 33170864

Clinical characteristics of Japanese patients with chronic obstructive pulmonary disease (COPD) with comorbid interstitial lung abnormalities: A cross-sectional study.

Manabu Ono1, Seiichi Kobayashi1, Masakazu Hanagama1, Masatsugu Ishida1, Hikari Sato1, Tomonori Makiguchi2, Masaru Yanai1.   

Abstract

Smoking-related interstitial lung abnormalities are different from specific forms of fibrosing lung disease which might be associated with poor prognoses. Chronic obstructive pulmonary disease with comorbid interstitial lung abnormalities and that with pulmonary fibrosis are considered different diseases; however, they could share a common spectrum. We aimed to evaluate the clinical characteristics of Japanese patients with chronic obstructive pulmonary disease and comorbid interstitial lung abnormalities. In this prospective observational study, we analyzed data from the Ishinomaki COPD Network Registry. We evaluated the clinical characteristics of patients with chronic obstructive pulmonary disease with and without comorbid interstitial lung abnormalities by comparing the annualized rate of chronic obstructive pulmonary disease exacerbations per patient during the observational period. Among 463 patients with chronic obstructive pulmonary disease, 30 (6.5%) developed new interstitial lung abnormalities during the observational period. After 1-to-3 propensity score matching, we found that the annualized rate of chronic obstructive pulmonary disease exacerbations per patient during the observational period was 0.06 and 0.23 per year in the interstitial lung abnormality and control groups, respectively (P = 0.043). Our findings indicate slow progression of interstitial lung abnormality lesions in patients with pre-existing chronic obstructive pulmonary disease. Further, interstitial lung abnormality development did not significantly influence on chronic obstructive pulmonary disease exacerbation. We speculate that post-chronic obstructive pulmonary disease interstitial lung abnormalities might involve smoking-related interstitial fibrosis, which is different from specific forms of fibrosing lung disease associated with poor prognoses.

Entities:  

Year:  2020        PMID: 33170864      PMCID: PMC7654824          DOI: 10.1371/journal.pone.0239764

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Chronic obstructive pulmonary disease (COPD) is characterized by persistent respiratory symptoms and airflow limitation due to airway and/or alveolar abnormalities that develop after significant exposure to noxious particles or gases, including tobacco smoke [1]. Smoking is the most significant risk factor for COPD and pulmonary fibrosis [2]. Combined pulmonary fibrosis and emphysema (CPFE) is characterized by co-existing emphysema and pulmonary fibrosis. Cottin et al. initially described CPFE in a cohort of 61 patients with both emphysema in the upper zones and diffuse parenchymal lung disease with fibrosis in the lower zones of the lungs on chest high-resolution computed tomography (HRCT) [3]. Smoking is suggested to play a crucial role given that almost all (98%) patients with CPFE are current or former smokers [4]. It remains unclear whether co-existing emphysema and pulmonary fibrosis is a distinct clinical entity or a coincidence of two smoking-related diseases within an individual as seen in the coexistence of lung cancer and COPD. Since its proposal, CPFE has been described in the context of idiopathic pulmonary fibrosis and other chronic lung fibrotic diseases, including connective tissue-related interstitial lung diseases [5]. Interstitial lung disease with the fibrotic CPFE component is yet to be established. Tobacco smoking has been reported to possibly result in areas of increased lung density on HCRT, which are termed as interstitial lung abnormalities (ILAs). Further, HRCT scan analysis of a large cohort showed that 8% of the smokers presented ILAs [6]. We conducted a cross-sectional study to analyze prospectively data collected from a Japanese COPD registry. We evaluated the following: 1) the frequency of newly appeared ILAs during the observational period in the patients with COPD and 2) their clinical characteristics. Specifically, we compared the annualized rate of COPD exacerbations per patient during the observational period between patients with COPD with and without comorbid ILAs.

Materials and methods

Study design

We conducted a cross-sectional study to analyze data prospectively collected from consecutive scheduled visits or newly registered patients in the Ishinomaki COPD Network (ICON) Registry [7,8] between April 2012 and November 2018. Briefly, the ICON is a regional medical liaison system aimed at providing comprehensive care to patients with COPD and is a part of a multicenter interdisciplinary collaboration among health care providers; specifically, respiratory medicine specialists, nurse specialists, therapists, pharmacists, and general practitioners, in Ishinomaki, Japan. In accordance to the COPD statements or guidelines [9,10], patients registered to the ICON Registry receive the standard therapy and care in general practice clinics. Further, patients undergo scheduled examinations and receive education at the Japanese Red Cross Ishinomaki Hospital (a 464-bed tertiary community hospital) every 6–12 months. Patients who experience exacerbations are first treated by their general practitioners, and if necessary, are subsequently referred to the Japanese Red Cross Ishinomaki Hospital. The patient education program includes training on early exacerbation recognition and a written action plan for exacerbations using a self-management diary. Patients are prescribed short-acting bronchodilators, but not oral corticosteroids or antibiotics, for self-administration during exacerbations.

Ethical considerations

This study is part of an ongoing COPD cohort study registered with the University Hospital Information Network Clinical Trials Registry (identifier: UMIN000017376). All the patients provided written informed consent and the study was approved by the Ethics Committee of the Japanese Red Cross Ishinomaki Hospital (approval number: 12-14-1).

Patients

We enrolled patients with stable COPD (age range: 40–90 years) who were former smokers with a smoking history of at least 10 pack-years. Patients suspected of COPD were referred to the Japanese Red Cross Ishinomaki Hospital. Patients who were diagnosed as COPD and confirmed as stable condition were registered to the ICON registry, if they gave their consent. All the patients were diagnosed with COPD according to Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria. Repeated spirometry was used to confirm persistent airflow limitation, which is defined as a post-bronchodilator forced expiratory volume in 1 second (FEV1)/forced vital capacity (FVC) ratio of < 0.7. The exclusion criteria were as follows: current smokers; chronic bronchitis or emphysema without airflow limitation; hematologic disease; lung resection history; use of oral corticosteroids, immunosuppressive agents, or antifibrotic agents; and COPD exacerbation occurrence within the 4 weeks preceding the data collection. Further, in this study, we excluded patients lost to follow-up, as well as patients who did not complete the 1-year follow-up, received radiotherapy or chemotherapy within 1 year after registry, or had obvious ILAs.

Clinical and physiologic measurements

We recorded each patient’s sociodemographic characteristics, smoking status, and maintenance treatments. Also, we calculated the body mass index (BMI) in kg/m2 and evaluated dyspnea using the modified Medical Research Council (mMRC) dyspnea scale [9,10]. We assessed the COPD-related health status using the COPD Assessment Test (CAT), which is an eight-item questionnaire with a possible total score of 0–40 with a higher score indicating a worse quality of life [11,12]. A well-trained technician conducted the pulmonary function tests following standard guidelines under a stable condition [13]. We classified the airflow limitation severity based on the GOLD staging as follows: GOLD 1: FEV1 ≥ 80% predicted; GOLD 2: 50% ≤ FEV1 < 80% predicted; GOLD 3: 30% ≤ FEV1 < 50% predicted; or GOLD 4: FEV1 < 30% predicted [1]. We defined exacerbations as the use of antibiotics and/or systemic corticosteroids for worsening respiratory symptoms with no evidence of an alternative diagnosis [1]. We did not consider mild exacerbations treated only with short-acting bronchodilators. We evaluated the exacerbation frequency during the observational period based on direct patient interviews, patient/caregiver-maintained diaries, referral letters from general practitioners and medical record review. Three researchers evaluated the HRCT scans. The ILA patterns, including honeycomb-like lesions, reticular abnormalities, and ground-glass opacities (Fig 1), were evaluated according to the method by Washko Gr et al. [6]. Honeycombing refers to clustered cystic airspaces of a typically consistent diameter (3–10 mm, but occasionally larger) with thick well-defined walls. It is usually accompanied by a reticular pattern containing traction bronchiectasis and bronchiolectasis [14]. However, interstitial fibrosis adjacent to a bronchiole with minimal associated emphysema, which mimics honeycombing (Fig 1), observed on CT images of patients with COPD and comorbid ILAs is termed as honeycomb-like lesions.
Fig 1

Representative pictures of the patterns of ILAs (honeycombing-like lesion, reticular abnormalities, and ground-glass opacities).

Statistical analysis

Data were shown as mean (standard deviation) with categorical data being expressed as percentages. We assessed between-group differences in the continuous variables using Student’s t-test or Mann-Whitney U-test. We compared categorical variables using Fisher’s exact test. We analyzed the following baseline characteristics: age, sex, BMI, FEV1, FVC, mMRC dyspnea scale score, CAT score, and the annualized rate of COPD exacerbations per patient during the observational period. To reduce selection bias, we calculated a propensity score through logistic regression with age, sex, BMI, and GOLD stage as the dependent variables [15]. We performed 1-to-3 propensity score matching between the ILA and control groups. We performed all statistical analyses 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) [16]; P < 0.05 was considered as significant.

Results

We enrolled 576 consecutive patients with COPD; among them, 463 were identified as eligible for study inclusion (Fig 2). To evaluate newly appearing ILAs and to avoid the possible effects of lung abnormal shadows, we excluded patients with obvious ILAs at the registry or patients who had undergone radiotherapy or chemotherapy within the first post-registration year (Fig 2). Table 1 presents the characteristics of the study participants. The mean age of the patients was 72.9 years (standard deviation (SD) = 7.5) with 33 of them being female. The mean absolute FEV1 was 1.62 L (SD = 0.60) while the mean FEV percent predicted was 63.1% (SD = 20.9).
Fig 2

We conducted a cross-sectional study to analyze data prospectively collected from consecutive scheduled visits or newly registered patients in the Ishinomaki COPD Network (ICON) registry between April 2012 and November 2018.

Table 1

Characteristics of the study patients (n = 463).

Age, years72.9 (7.5)
Female33 (7)
BMI, kg/m223.8 (9.2)
Smoking history (pack-years)53.9 (29.8)
FEV1 (L)1.62 (0.60)
%FEV1 (%)63.1 (20.9)
FVC (L)3.15 (0.75)
GOLD stage
1106 (23)
2227 (49)
3102 (22)
428 (6)
mMRC dyspnea scale grade1.0 (0.9)
CAT score6.1 (5.4)
Exacerbation history0.17 (0.39)
Death from any cause§50 (10.8)

Notes: Data are shown as mean ± SD or number (percentage).

¶ Annualized rate of COPD exacerbations during the observational period.

§Death from any cause was defined as death occurring after ICON Registry.

Notes: Data are shown as mean ± SD or number (percentage). ¶ Annualized rate of COPD exacerbations during the observational period. §Death from any cause was defined as death occurring after ICON Registry. Among the 463 patients with COPD, newly appearing ILAs were observed in 30 (6.5%) patients (Fig 2). CT images of patients with COPD and comorbid ILAs showed honeycomb-like lesions (Fig 1). Airflow limitation severity in patients without ILAs was distributed across GOLD 1 to 4. Contrastingly, the airflow limitation severity in patients with ILAs was distributed across GOLD 1 to 3 with a small number of patients in each class (Table 2).
Table 2

Characteristics of the study patients with and without ILAs before 1-to-3 propensity score matching.

ILAs (+)ILAs (-)P-Value
(n = 30)(n = 433)
Age, years74.6 (6.4)72.9 (7.6)0.179
Female2 (7)33 (7)1
BMI, kg/m224.4 (3.2)23.8 (9.5)0.722
Smoking history (pack-years)61.2 (33.6)53.4 (29.5)0.165
FEV1 (L)1.74 (0.50)1.62 (0.61)0.298
%FEV1 (%)68.1 (19.5)62.8 (21.0)0.177
FVC (L)3.13 (0.63)3.15 (0.76)0.897
GOLD stage
18 (27)98 (23)
216 (53)211 (49)
36 (20)96 (22)
40 (0)28 (6)
mMRC dyspnea scale grade1.0 (1.0)1.0 (0.9)0.167
CAT score4.9 (4.2)6.2 (5.4)0.229
Exacerbation history0.06 (0.10)0.17 (0.39)0.112
Death from any cause§2 (6.7)48 (11.1)0.759

Notes: Data are shown as mean ± SD or number (percentage).

¶ Annualized rate of COPD exacerbations during the observational period.

§Death from any cause was defined as death occurring after ICON Registry.

Notes: Data are shown as mean ± SD or number (percentage). ¶ Annualized rate of COPD exacerbations during the observational period. §Death from any cause was defined as death occurring after ICON Registry. To minimize between-group differences in the baseline characteristics, we matched the participants using propensity scores. The number of patients in the ILA and control groups after 1-to-3 propensity score matching was 30 and 90, respectively, which provided between-group balance in the distribution of most covariates (Table 3). After propensity score matching, the annualized rates of COPD exacerbations per patient during the observational period were 0.06 and 0.23 per year in the ILA group and control group, respectively (P = 0.043). Among the patients, two (6.7%) and 48 (11.1%) patients with and without ILAs, respectively, died from any causes; there was no significant between-group difference. No hospitalization or deaths occurred due to the rapid progression of ILAs among patients with ILAs.
Table 3

Characteristics of the study patients with and without ILAs after 1-to-3 propensity score matching.

ILAs (+)ILAs (-)P-Value
(n = 30)(n = 90)
Age, years74.6 (6.4)75.0 (7.1)0.778
Female2 (6.7)8 (8.9)1
BMI, kg/m224.4 (3.24)25.5 (19.4)0.757
Smoking history (pack-years)61.2 (33.6)50.3 (29.7)0.096
FEV1 (L)1.74 (0.50)1.58 (0.59)0.184
%FEV1 (%)68.1 (19.5)64.0 (21.4)0.354
FVC (L)3.13 (0.63)3.02 (0.68)0.442
mMRC dyspnea scale grade0.7 (0.7)1.0 (0.9)0.09
CAT score4.9 (4.2)6.4 (5.4)0.183
Exacerbation history0.06 (0.10)0.23 (0.46)0.043*
Death from any cause§2 (6.7)10 (11.1)0.728

Notes: Data are shown as mean ± SD or number (percentage).

¶ Annualized rate of COPD exacerbations during the observational period.

§Death from any cause was defined as death occurring after ICON Registry.

*P < 0.05 was considered statistically significant.

Notes: Data are shown as mean ± SD or number (percentage). ¶ Annualized rate of COPD exacerbations during the observational period. §Death from any cause was defined as death occurring after ICON Registry. *P < 0.05 was considered statistically significant. Table 3 shows the mean absolute FEV1, mean FEV percent predicted, mean mMRC dyspnea scale score, and CAT scores for patients in both groups. Compared with patients without ILAs, those with ILAs showed numerically, but not significantly, greater FEV1 and FEV1 percent predicted values, as well as lower mMRC dyspnea scale and CAT scores.

Discussion

In this study, we demonstrated the clinical phenotypes of COPD with and without comorbid ILAs in a cohort of Japanese patients with COPD. A previous retrospective study reported that ILAs were present in 8% of HRCT scans obtained from a smoker cohort [6]. Further, another study reported that 13.5% of patients with COPD present ILAs [17]. In this study, we found that approximately 6.5% of the patients with COPD presented with newly appearing ILAs during the observational period. Exacerbations of COPD are considered important events in the management of COPD because these exacerbations have negative impacts on lung function [18], health-related quality of life [19,20], prognosis [21], and socioeconomic costs [22]. Previous studies reported combined pulmonary fibrosis and emphysema showed acute exacerbation of these disease [23], and ILAs were considered as one of the risk factors of exacerbations. A retrospective study on ILAs in patients with COPD reported that no patients exhibited ≥ 2 exacerbations in one year [17]. Compared with patients without ILAs, we found a lower average annualized frequency of COPD exacerbations during the observational period in those with ILAs (0.06 vs. 0.23 per year; P = 0.043). These findings indicate that ILA development had little influence on COPD exacerbations. Previous reports have suggested that the prognosis of patients with coexisting fibrosis and emphysema is worse than that of patients only with COPD [24,25]. However, smoking-related ILAs are different from specific forms of fibrosing lung disease associated with poor prognoses, especially usual interstitial pneumonia [26]. We did not find a significant difference in the mortality rate between-COPD and COPD followed by ILAs groups. Further, the ILAs were dominated with reticular abnormalities, ground-glass opacities, and honeycomb-like lesions. We did not observe rapid ILA progression in the patients with COPD with comorbid ILAs. This suggests that the pathogenesis of COPD with comorbid ILAs is different from that of CPFE. A previous study on lobectomy specimens of neoplasm excisions obtained from smokers demonstrated smoking-related interstitial fibrosis that could not be classified as a specific form of interstitial lung disease [26]. This lesion was characterized by varying degrees of alveolar septal widening due to collagen deposition with emphysema and respiratory bronchiolitis. The fibrosis was observed both in the subpleural and deeper parenchyma. It is difficult to differentiate emphysema from interstitial fibrosis and the clinical border between the two conditions within the same patient is vague. We speculate that ILAs that occur in patients with COPD might involve smoking-related interstitial fibrosis, which is different from specific forms of fibrosing lung disease associated with poor prognoses. Between-group analysis with adjustment for prognostic factors of COPD showed that ILAs had no adverse impact on clinical outcomes. Previous studies have reported the occurrence of smoking-related ILAs in former smokers [27]. Tobacco smoking induces alveolar epithelial cellular senescence, which is a state of replicative arrest brought on by cellular stressors, including tobacco smoke, and results in the emergence of the senescence-associated secretory phenotype [28]. The mediators secreted by these cells include various cytokines, chemokines, matrix metalloproteinases, and growth factors involved in the pathogenesis of both emphysema and pulmonary fibrosis. Although tobacco smoking has been implicated in interstitial lung diseases, including respiratory bronchiolitis-associated interstitial lung disease and desquamative interstitial pneumonia, their radiologic features are different from those of smoking-related ILAs. The degree of smoking-induced diffuse lung diseases including lung remodeling and fibrosis varies considerably between individuals. This cannot simply be explained by cumulative tobacco exposure, implying that genetic factors interplay with smoking in the determination of the eventual disease phenotype. Currently, the underlying mechanism of exacerbation alleviation in patients with COPD with comorbid ILAs remains unclear. However, the diverse lung responses to tobacco smoke imply that there could be additional endogenous or exogenous co-factors which result in the induction of specific disease phenotypes in patients with COPD [29]. The primary strengths of our study include its prospective observational design and inclusion of community-dwelling patients treated by general practitioners in Ishinomaki or surrounding cities, which reflects the real-world COPD population in Japan. However, this study has some potential limitations. First, we cannot exclude the possibility that corticosteroid treatment for COPD exacerbations might have affected the development of ILAs. Immunosuppressive therapy has been reported to affect ILAs in patients with evidence of active inflammation, including ground-glass opacities [4] and nonspecific interstitial pneumonia [30]. Given the low exacerbation frequency during the observational period and the short corticosteroid treatment duration, we assume that they did not significantly affect our results. Second, our sample size was smaller than that of previous large-scale studies. There is a need for a longer-term follow-up study with a larger group of patients.

Conclusions

In conclusion, we observed slow progression of ILA lesions in patients with COPD and that the development of ILAs had no significant effect on COPD exacerbations. We suspect that ILAs occurring after COPD might involve smoking-related interstitial fibrosis, which is different from specific forms of fibrosing lung disease associated with poor prognoses. 23 Jun 2020 PONE-D-20-07036 Clinical characteristics of Japanese patients with chronic obstructive pulmonary disease (COPD) with comorbid interstitial lung abnormalities: A cross-sectional study PLOS ONE Dear Dr. Onu, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. I have received the comments of the reviewers on your manuscript. 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Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: No ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: An interesting manuscript in its field, indeed I agree with the authors, however; do they suggest a method that these lesions can be differentiated. Can we use some kind of vehicle that binds differently with each interstitial lesion? Reviewer #2: Major points: 1. There is a need for more clarity in the paper. Are the authors trying to define the incidence of new ILA in COPD, or study its progression? They mention ‘the frequency of newly appeared ILAs during the observational period in the patients with COPD,’ but at the same time also use progression as a descriptive term. These are 2 different aspects, and it is not clear of serial CT’s/PFT’s were done to define progression. This is major aspect which needs clarification 2. They mention clinical characteristics, which is exacerbation frequency in COPD/ILA vs COPD only. What is the clinical significance of this exacerbation frequency in this context - with the low number with ILA, it is difficult to comment on this, and has limited clinical significance. In addition, the word clinical characteristics implies more clinical features, and may be too broad a term for what here is a specific analysis of exacerbations. 3. The mean age of these patients is 72.9 years, which is also the age for rising ILD prevalence. The fundamentally question is that is this an incidental abnormality arising in this elderly cohort, and is there any link at all with COPD – an epiphenomenon at best? What are the pathophysiological correlates which make such a relationship tenable, above and beyond the link with smoking irritants? Is it just part of a continuum, or is post-infectious scarring? Please comment on this. 4. The significance of these CT ILA types are not clear, is GGO or reticulation different from honeycombing? The true impact of these findings is not clear. Minor points 1. The exacerbations were based on patient interviews, diaries, and record review, and need for drugs, and may not reflect a true exacerbation. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. 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If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? 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PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: I have no further comments, all comments were addressed. Again all comments were addressed I have no further comments Reviewer #2: No further comments, the pertinent review questions have been addressed and corrections made in the manuscript ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No 29 Oct 2020 PONE-D-20-07036R1 Clinical characteristics of Japanese patients with chronic obstructive pulmonary disease (COPD) with comorbid interstitial lung abnormalities: A cross-sectional study Dear Dr. Ono: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Muhammad Adrish Academic Editor PLOS ONE
  27 in total

1.  Standardisation of spirometry.

Authors:  M R Miller; J Hankinson; V Brusasco; F Burgos; R Casaburi; A Coates; R Crapo; P Enright; C P M van der Grinten; P Gustafsson; R Jensen; D C Johnson; N MacIntyre; R McKay; D Navajas; O F Pedersen; R Pellegrino; G Viegi; J Wanger
Journal:  Eur Respir J       Date:  2005-08       Impact factor: 16.671

2.  Combined pulmonary fibrosis and emphysema: a distinct underrecognised entity.

Authors:  V Cottin; H Nunes; P-Y Brillet; P Delaval; G Devouassoux; I Tillie-Leblond; D Israel-Biet; I Court-Fortune; D Valeyre; J-F Cordier
Journal:  Eur Respir J       Date:  2005-10       Impact factor: 16.671

3.  Effect of exacerbation on quality of life in patients with chronic obstructive pulmonary disease.

Authors:  T A Seemungal; G C Donaldson; E A Paul; J C Bestall; D J Jeffries; J A Wedzicha
Journal:  Am J Respir Crit Care Med       Date:  1998-05       Impact factor: 21.405

Review 4.  Combined pulmonary fibrosis and emphysema syndrome: a review.

Authors:  Matthew D Jankowich; Sharon I S Rounds
Journal:  Chest       Date:  2012-01       Impact factor: 9.410

5.  Effect of exacerbations on quality of life in patients with chronic obstructive pulmonary disease: a 2 year follow up study.

Authors:  M Miravitlles; M Ferrer; A Pont; R Zalacain; J L Alvarez-Sala; F Masa; H Verea; C Murio; F Ros; R Vidal
Journal:  Thorax       Date:  2004-05       Impact factor: 9.139

6.  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

7.  Investigation of the freely available easy-to-use software 'EZR' for medical statistics.

Authors:  Y Kanda
Journal:  Bone Marrow Transplant       Date:  2012-12-03       Impact factor: 5.483

Review 8.  Tobacco smoke-induced lung fibrosis and emphysema.

Authors:  Danielle Morse; Ivan O Rosas
Journal:  Annu Rev Physiol       Date:  2013-11-18       Impact factor: 19.318

9.  Cellular senescence mediates fibrotic pulmonary disease.

Authors:  Marissa J Schafer; Thomas A White; Koji Iijima; Andrew J Haak; Giovanni Ligresti; Elizabeth J Atkinson; Ann L Oberg; Jodie Birch; Hanna Salmonowicz; Yi Zhu; Daniel L Mazula; Robert W Brooks; Heike Fuhrmann-Stroissnigg; Tamar Pirtskhalava; Y S Prakash; Tamara Tchkonia; Paul D Robbins; Marie Christine Aubry; João F Passos; James L Kirkland; Daniel J Tschumperlin; Hirohito Kita; Nathan K LeBrasseur
Journal:  Nat Commun       Date:  2017-02-23       Impact factor: 14.919

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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  2 in total

Review 1.  Evaluation of Naringenin as a Promising Treatment Option for COPD Based on Literature Review and Network Pharmacology.

Authors:  Zhen Chen; Pan Chen; Hao Wu; Rui Shi; Weiwei Su; Yonggang Wang; Peibo Li
Journal:  Biomolecules       Date:  2020-12-08

Review 2.  Chronic Obstructive Pulmonary Disease Combined with Interstitial Lung Disease.

Authors:  Joon Young Choi; Jin Woo Song; Chin Kook Rhee
Journal:  Tuberc Respir Dis (Seoul)       Date:  2022-01-27
  2 in total

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