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Review

Comorbid Conditions in Chronic Obstructive Pulmonary Disease: Potential Therapeutic Targets for Unmet Needs

1
Department of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan
2
Department of Medicine and Clinical Science, Graduate School of Medicine, Yamaguchi University, Ube 755-8505, Japan
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2020, 9(10), 3078; https://doi.org/10.3390/jcm9103078
Submission received: 28 August 2020 / Revised: 18 September 2020 / Accepted: 20 September 2020 / Published: 24 September 2020

Abstract

:
The management of chronic obstructive pulmonary disease (COPD) has improved significantly due to advances in therapeutic agents, but it has also become apparent that there are issues that remain difficult to solve with the current treatment algorithm. COPD patients face a number of unmet needs concerning symptoms, exacerbations, and physical inactivity. There are various risk factors and triggers for these unmet needs, which can be roughly divided into two categories. One is the usual clinical characteristics for COPD patients, and the other is specific clinical characteristics in patients with comorbid conditions, such as asthma, cardiovascular disease, and bronchiectasis. These comorbidities, which are also associated with the diversity of COPD, can cause unmet needs resistance to usual care. However, treatable conditions that are not recognized as therapeutic targets may be latent in patients with COPD. We again realized that treatable traits should be assessed and treated as early as possible. In this article, we categorize potential therapeutic targets from the viewpoint of pulmonary and systemic comorbid conditions, and address recent data concerning the pathophysiological link with COPD and the impact of intervention on comorbid conditions in order to obtain evidence that could enable us to provide personalized COPD management.

1. Introduction

Chronic obstructive pulmonary disease (COPD) is a major health problem with increasing incidence and mortality worldwide [1,2]. The current mainstay of pharmacotherapy is bronchodilators, and recent advances in these agents have enabled further improvements in lung function and reductions in symptoms and exacerbations [3,4]. However, it has also become apparent that there are remaining issues that are difficult to resolve with the current treatment algorithm. COPD patients face a number of unmet needs such as symptoms, exacerbations, physical inactivity, and loss of social activities [5,6,7,8,9,10].
Most of the current treatment algorithms are based on the severity of symptoms and exacerbation history, and recommend the use of drugs other than inhalation medications when symptoms remain or exacerbations occur [3,11]. However, even a single exacerbation can accelerate the loss of lung function, inducing physical inactivity and increasing the risk of death [12,13]. A large-scale epidemiological study in Japan showed that dyspnea of the modified Medical Research Council (mMRC) grade 2 or more remains in almost one half of COPD patients managed by pulmonologists [14,15]. Given the burden of such unmet needs, it is very important to promote pre-emptive therapies that target treatable traits [5,6,7,8,9].
There are various risk factors and triggers for patients’ unmet needs, while the factors can be roughly divided into two categories (Figure 1). One is the usual characteristics of COPD patients, such as smoking and airflow obstruction. As a standard approach, it goes without saying that smoking cessation, bronchodilator, pulmonary rehabilitation, and vaccination are established treatments, and they should be included under general recommendations for all patients [3,11]. The other includes specific characteristics in patients with comorbid conditions, such as asthma, bronchiectasis, and cardiovascular disease [9]. These comorbidities, which are also associated with the diversity of COPD [5,6,7,8,9], can cause patients’ unmet needs to resist usual care. However, treatable conditions that are not recognized as therapeutic targets may be latent in patients with COPD. However, there is accumulating evidence indicating that some clinical features and specific biomarkers can be used to identify patients who should be given second controllers, such as inhaled corticosteroids (ICS) [16,17,18], selective β1-blockers [19,20,21], and macrolides [22,23,24]. We again realized that treatable traits should be assessed and treated as early as possible [9].
In this article, we categorize potential therapeutic targets based on pulmonary and systemic comorbid conditions and address the data of pathophysiological relationships with COPD and the impact of intervention for these comorbid conditions to obtain evidence that will enable the development of personalized COPD management.

2. Bronchiectasis

Microorganisms are frequently observed in the airways of COPD patients, both in stable state and during exacerbations. The isolation of potentially pathogenic microorganisms (PPM) such as Hemophilus influenzae, Streptococcus pneumoniae, or Pseudomonas aeruginosa from respiratory samples does not fit the definition of colonization, since it is associated with tissue damage and an inflammatory response [24,25]. Recently, a clinical feature of chronic bronchial infection (CBI) has been suggested to be the appearance of the same PPM in at least three sputum cultures in a year, each separated by at least a month [26]. It is well recognized that there is a strong association between CBI and COPD exacerbations. Most patients with CBI and frequent bacterial exacerbations produce colored/purulent sputum even in the stable state, have more severe dyspnea and an impaired quality of life, and may fulfill radiological criteria for bronchiectasis in chest CTs [24,25,26,27]. Interestingly, a recent prospective study reported that the presence of chronic purulent sputum, number of PPM isolations, and hospitalizations due to the exacerbation of COPD are independent risk factors of bronchiectasis progression in patients with moderate-to-severe COPD [28].
In many previous studies, the regular use of macrolides (e.g., erythromycin, clarithromycin, and azithromycin) has been shown to reduce emergency room visits and hospitalization due to exacerbations of COPD [22,23,24]. The mechanisms of the therapeutic effects of macrolide can go beyond their direct anti-microbial effects; the latest data show that they exert multiple effects on the structure and composition of the lower airway microbiota, with an increased production of bacterial metabolites with anti-inflammatory properties [22,24]. Azithromycin use can reduce the risk of COPD exacerbations, but is also associated with increased incidence of colonization with macrolide-resistant organisms, an excessive rate of hearing decrements, and the prolongation of the QTc interval [23]. In contrast, no changes in the frequency of macrolide-resistant organisms in sputum have been found to appear with the long-term use of erythromycin or clarithromycin [29,30]. Hence, given the increasing prevalence of non-tuberculosis mycobacteria (NTM) diseases, it seems reasonable to consider the use of erythromycin prior to other macrolides. Andrejak et al. [31] reported that the adjusted odds ratio of COPD patients with bronchiectasis for an increased risk of NTM pulmonary disease is 187.5. These data suggest that increased macrolide resistance to NTM can be a significant risk for patients with CBI and frequent bacterial exacerbations.
COPD patients with mucus hypersecretion have a greater loss of lung function and a higher risk of exacerbation [32,33]. Mucolytic agents such as N-acetylcysteine, carbocisteine, or ambroxol may reduce exacerbations and improve health status [33,34]. The European Respiratory Society (ERS)/American Thoracic Society (ATS) guidelines on the management of COPD exacerbations suggested the beneficial effect of mucolytic agents in patients with frequent COPD exacerbations [35].
There is increasing evidence showing that ICS may impair the host defense against pathogenic organisms [36,37], modify the composition of the microbiome, and lead to dysbiosis in COPD patients [38,39]. Current guidelines recommend that ICS may not be indicated in patients with bacterial colonization or recurrent respiratory tract infections [3]. Interestingly, a recent long-term observational study of 201 COPD patients whose airway microbiologies were carefully characterized demonstrated that fewer than 100 circulating eosinophils/μL combined with the presence of CBI may increase the risk of pneumonia in COPD patients treated with ICS [40]. These data support the need for the assessment of airway bacteriology and type 2 airway inflammation in the management of COPD patients, particularly in cases where ICS are deemed necessary.

3. Asthma

Airway inflammation in COPD is typically thought to be driven by type 1 immune responses, while type 2 inflammation appears to be present in definite proportions [41,42]. Interestingly, the relationship between COPD and diseases associated with type 2 inflammation from the perspective of impaired lung development is highlighted by many recent epidemiologic studies [43,44,45,46,47,48,49,50]. These studies found that not only personal smoking but also childhood asthma, allergic rhinitis, and eczema were risk factors for reduced pulmonary function and might predict the onset of COPD later in life.
The controversy that asthma and COPD are not always separate diseases has been discussed over the years, and the term asthma-COPD overlap (ACO) has begun to be used. However, no formal definition of ACO has yet been accepted, and the Global Chronic Obstructive Lung Disease (GOLD) 2020 report stated that they no longer refer to ACO, as they constitute two different diseases that may share some common traits and clinical features [3]. Nevertheless, we consider that ACO remains important because of its effects (i.e., poorer quality of life [QOL] [51,52,53], future exacerbations [54,55,56], more rapid decline in lung function [57,58], and higher medical cost [59]) and because it requires personalized COPD management such as interventions with ICS and type 2-directed biologics.
The prevalence of asthma in patients with COPD has varied across studies, based on various biomarkers and cut-off values, including sputum/blood eosinophils, exhaled nitric oxide fraction (FeNO), and IgE/atopy. In a large-scale clinical trial, 20% of patients had blood eosinophilia (≥300 cells/µL) [60]. In a study focused on the FeNO levels in COPD, the prevalence rate of FeNO > 25 ppb was 36.9%, that of >35 ppb was 16.3% [61]. The positive rate of atopy in COPD varies between about 15% and 40% [52,53,61,62,63]. In our study focused on the combination of multiple type 2 biomarkers in ICS-naive COPD patients, more than one-third of the patients had type 2 inflammatory features [64]. Because of the relatively high positive rate, it is essential not to overlook asthma, even in COPD patients who do not have a history of asthma or asthma-like features.
Many researchers have shown an interest in whether type 2 biomarkers can be used to predict the effectiveness of ICS. In particular, many studies have investigated whether blood eosinophils can be used to predict whether patients will benefit from the prevention of future exacerbations by add-on ICS in combination with long-acting β2-agonist (LABA) or LABA/long-acting muscarinic antagonist (LAMA) compared to bronchodilators alone [65,66,67]. Based on these studies, the GOLD report has proposed the use of ICS in combination with bronchodilators in patients with frequent exacerbations and blood eosinophil counts ≥300 cells/μL, while ICS use is not recommended if the blood eosinophil counts are <100 cells/μL [3]. Several studies have reported the usefulness of blood eosinophils to predict the risk of exacerbations after ICS withdrawal from triple therapy (ICS/LABA/LAMA), and only patients with blood eosinophilia (≥300 or 400 cells/μL) were at an increased risk of exacerbations [60,68]. In contrast, some observational studies using add-on ICS did not show an association between blood eosinophilia and a reduced risk of exacerbations [69,70]. This discrepancy may have resulted from influential factors, stability, and the reproducibility of blood eosinophils in patients with COPD [71,72].
Recently, we reported a prospective study to detect type 2 inflammation biomarkers for predicting improvements in both symptoms and airflow limitation by ICS in 43 symptomatic patients with COPD who had been taking bronchodilators (de-stress study) [18]. This single-arm study consisted of a 4-week observation period and 12-week treatment period, with add-on inhaled ciclesonide of 400 μg/day. This study excluded current smokers, patients within one month of quitting, and patients with concomitant asthma. An analysis of the effect of ICS on forced expiratory volume in 1 s (FEV1) and symptoms was conducted stratified based on the criteria for type 2 inflammations in the Japanese guidelines for ACO [73]. As indicated in Figure 2, the greater benefit of ICS for patients with higher levels of type 2 biomarkers was demonstrated. Among several type 2 biomarkers, FeNO was identified as the most accurate predictor of improvements in both symptoms and airflow limitation (area under the curve = 0.92).
Because the benefits were small compared with asthma [74,75], no biologics are currently licensed for the treatment of COPD. Whether ACO patients might respond to type 2-directed biologics remains to be fully addressed and requires further investigation.

4. Obstructive Sleep Apnea

The coexistence of COPD and obstructive sleep apnea (OSA) has been called overlap syndrome (OVS). OVS is considered to be the result of chance rather than of a pathophysiological link [76,77]. The prevalence of OSA in COPD patients ranges from 9.2% to 28.5% [78]. Patients with combined COPD and OSA have a worse prognosis and an increased risk of cardiovascular events such as hypertension and pulmonary hypertension [79,80]. Since these risks are particularly high in untreated OSA patients, early diagnosis and intervention are required [80]. However, many cases are asymptomatic or not reported separately from the symptoms of COPD itself. Therefore, polysomnography to diagnose OSA is not routinely indicated in COPD patients [81]. Interviewing the bed partner is essential to capture the OSA symptoms.
Management includes patient education to avoid the factors that increase the severity of upper airway obstruction, such as the use of alcohol and hypnotic drugs and weight gain [78,82]. Positive airway pressure is the mainstream treatment for OVS and it has been shown to reduce overall mortality and the risk of COPD exacerbations [82]. However, the efficacy is sometimes limited by patients’ poor adherence. In such cases, nasal high flow may be an alternative means for palliative purposes, but further studies are needed to verify its safety and efficacy [83].

5. Pulmonary Hypertension

Pulmonary hypertension (PH), which is one of the significant comorbidities in COPD, is associated with a worse prognosis [84]. Patients with a mean pulmonary artery pressure (mPAP) > 20 mmHg and pulmonary capillary wedge pressure (PCWP) < 15 mmHg with right heart catheterization are defined as PH [85]. The mechanisms of PH-COPD have been considered to be hypoxic pulmonary vasoconstriction, vascular injury, and reduction in the vascular beds, which is due to alveolar destruction by the inhalation of cigarette smoke and harmful substances [86]. Notably, PH-COPD is more prevalent and severe in COPD with pulmonary fibrosis compared to COPD without fibrosis [87,88].
Long-term oxygen therapy suppressed mPAP elevation, and may be effective for PH-COPD with respiratory failure [89,90]. Pulmonary vasodilators which are approved for pulmonary artery hypertension (PAH) may worsen the ventilation/perfusion mismatch and hypoxemia [91,92]. Although the efficacy of PAH-targeted therapy for PH-COPD is still controversial [91,92,93,94], a subgroup of PH-COPD who shows severe pulmonary hypertension despite mild airflow limitation may benefit from pulmonary vasodilators [95,96]. From the perspective of the heterogeneous pathogenesis and poor prognosis of PH patients with COPD, further and different targeted therapies are needed.

6. Systemic Comorbidities

6.1. Cardiovascular Disease

COPD and cardiovascular disease (CVD) frequently coexist, and the relationship can be explained by shared risk factors, lung hyperinflation, loss of vascular capacity, oxidative stress, and systemic inflammation [97]. The prevalence of CVD in patients with COPD ranges from 20% to 70% [98], with 2.5 times greater odds of CVD in COPD patients compared with the non-COPD cohort [99]. The prevalence of COPD in patients with chronic heart failure (CHF) ranges from 9% to 52% [100], and the presence of COPD and rapid FEV1 decline are risk factors for CHF [101,102]. Arrhythmia is common in COPD patients, and reduced FEV1 is associated with incident atrial fibrillation (AF) [103]. More than 25% of patients with COPD will die as a result of CVD, and 40% of COPD patients with a cardiovascular history will die following a cardiovascular event [104]. There is an increased risk of CVD events, including ischemic heart disease, within the first 30 days after COPD exacerbations in patients with COPD with CVD [105]. It is well known that patients with comorbid COPD and CVD have worse outcomes than those with either condition alone [97]. The presence of CVD is associated with more severe breathlessness and a worse QOL, more frequent hospitalization, and higher mortality than those with COPD alone [104], while the presence of COPD is a predictor of hospitalization and death from cardiovascular events [106].
Despite established associations between COPD and CVD, it is usual for a patient’s presentations to be attributed to one disease only and for the other to be overlooked because of overlapping clinical symptoms and signs. In fact, in studies of COPD patients, excluding those with an existing CHF diagnosis, the prevalence of unrecognized CHF was about 20% [107,108]. Physical examinations such as peripheral edema, systolic murmur, and objective tests such as electrocardiography and the measurement of plasma brain natriuretic peptide can help physicians to identify concomitant CHF in COPD patients [108].
Adequate therapy for CVD is necessary without delay after a new diagnosis of CVD. However, pharmacotherapy for CVD is often withheld due to uncertain beliefs concerning safety for COPD patients. Even when CVD is known, patients with COPD receive less adequate CVD treatment than non-COPD patients [109,110]. In particular, β-blockers are essential medications in CHF, acute myocardial infarction, and AF. The pharmacologic properties of common β-blockers are summarized in Table 1 [111]. A meta-analysis of observational studies reported that β-blocker usage in COPD patients reduces the overall mortality and risk of COPD exacerbations (28% and 38%, respectively) [20]. Importantly, selective and non-selective β-blockers have different outcomes for patients with COPD. A previous randomized study that compared the effect of bisoprolol and carvedilol in patients with concurrent COPD and CHF confirmed that bisoprolol improved FEV1 and caused fewer adverse events than carvedilol [112]. In a retrospective study, patients taking bisoprolol were at a lower risk of CHF and/or COPD exacerbation than patients taking carvedilol [113]. In another cohort study, the rate of mortality and CHF exacerbations was lower in patients treated with bisoprolol compared to those with carvedilol or metoprolol [114]. Very recently, in a large-scale randomized controlled trial of metoprolol for patients with COPD that specifically excluded patients with established indications for a β-blocker, the metoprolol group did not show a lower risk of COPD exacerbations than the placebo group [115]. From the evidence so far, COPD patients without any cardiovascular comorbidity do not require beta-blockers, while the selective β-blocker bisoprolol should be used in COPD patients with CVD.
Recently, the CLAIM study showed that dual bronchodilator treatment in hyperinflated patients with COPD reversed the detrimental lung-heart imbalance by increasing pulmonary microvascular blood flow, left ventricular end-diastolic volume, stroke volume, and regional ventilation [116,117]. These data clearly highlight the multidimensional benefits of maximum bronchodilation in patients with COPD.

6.2. Malnutrition/Obesity

The association between low body mass index (BMI) and poor prognosis in patients with COPD independently of the ventilation impairment is well known [118,119]. The prevalence of loss in COPD is associated with the presence of emphysema [120]. Body weight loss is particularly prevalent in patients with severe COPD and chronic respiratory failure, occurring in ~50% of such patients, but can be also seen in 10–15% of patients with mild-to-moderate COPD [121].
Loss of muscle mass is the major cause of the weight loss, whereas the loss of fat mass contributes to a lesser extent [121]. The assessment of the nutrition status and targeted intervention for specific metabolic types are essential. The measurements of body composition, including the distribution of fat-free mass, fat mass, bone mass, and density, needs to be assessed to obtain information concerning variables related to the disease severity and exercise capacity in patients with COPD [122]. Schols et al. showed that the prognosis improved in COPD patients if body weight could be regained after nutritional support, despite the absence of improvements in lung function [123].
Obesity paradox is a phenomenon in which obese patients with COPD survive longer than patients who are not obese, despite the cardiovascular risk and inflammatory burdens associated with obesity [124,125]. Although the detailed mechanism is unclear, Ji et al. recently reported that a low BMI is associated with poorer survival, but not for the risk of exacerbations or pneumonia, or for the need for medical care in hospital [125].

6.3. Gastroesophageal Reflux

An association between gastroesophageal reflux (GER) and COPD has been recognized. The prevalence of GER in COPD patients is higher than that in the non-COPD population, ranging from 19% to 78% [126,127,128]. COPD patients with GER are at greater risk of COPD exacerbation [129,130] and are associated with worse symptoms [131]. The underlying mechanism of GER in COPD patients has been considered to be micro-aspiration and bronchoconstriction due to vagal nerve reflex induced by esophageal acid reflux, while GER also causes inflammation and edema in the airways, increases bronchial hyperresponsiveness [132,133]. Additionally, lung hyperinflation may be associated with lower esophageal sphincter (LES) relaxation, which can lead to worsening of the acid reflux [134].
Previous studies showed that the administration of proton pump inhibitors (PPIs) in COPD patients with GER improved symptoms and reduced COPD exacerbations [127,135], but another study did not [136]. It is still controversial whether anti-reflux therapy is effective for COPD patients with GER.

6.4. Anxiety/Depression

Depression is more prevalent in COPD patients than in a comparable general cohort [137,138]. A recent meta-analysis reported approximately 30% of the COPD group and 10% of the control group had a depressive status [139]. Anxiety tended to be similar, and the prevalence was higher in patients with more severe COPD [137,138,139]. Depression may be primarily driven by a patient’s perception of a serious chronic disease comprising symptoms and limitations to daily activities rather than by the underlying inflammatory pathology in COPD [137]. Many recent studies have shown that depression is associated with a worse quality of life, poor adherence to treatment plans, exacerbations, increased hospitalizations, and more health care costs in patients with COPD [130,140,141].
COPD patients with anxiety and/or depression symptoms will report higher COPD Assessment Test (CAT) scores compared to those without symptoms [142]. In COPD patients with high CAT scores despite adequate COPD treatment, the use of a psychological screening test such as the Hospital Anxiety and Depression Scale (HADs) may be useful for the diagnosis of depression and anxiety [143]. Comprehensive pulmonary rehabilitation programs with exercise therapy, relaxation techniques, and self-management education appeared to be helpful in reducing depression and anxiety [138,143]. By contrast, a recent meta-analysis could not provide conclusive treatment recommendations for the use of antidepressants in patients with COPD [144]. There remain unanswered questions about adequate treatment strategies for comorbid anxiety/depression in patients with COPD.

6.5. Sarcopenia/Skeletal Muscle Dysfunction

Sarcopenia is one of the representative extrapulmonary manifestations in COPD patients [145], and its prevalence is reported to be 15–25% [146,147]. Sarcopenia is characterized by a loss of skeletal muscle mass/function and is categorized as secondary (e.g., disease) or primary (e.g., aging, disuse) [148]. Currently, several methods evaluating low muscle mass and function based on the features of sarcopenia are commonly used as criteria for its diagnosis [149,150]. Aging usually cause a shift from type 2 (fast-twitch muscle fiber) to type 1 myofibers, which have a high density of mitochondria in muscle cells (slow-twitch muscle fiber). However, there is a transition from type 1 to type 2 myofibers in COPD [151]. This structural alteration as well as quantitative reduction in muscle which is related to aging could contribute to COPD sarcopenia. Additionally, inflammation, oxidative/nitrative stress, mitochondrial dysfunction, motor neuron loss, microvascular changes, imbalance in protein metabolism, and apoptosis of muscle cells may be involved in the underlying mechanisms in the pathophysiology of COPD sarcopenia [148,151,152,153].
The associations between COPD and sarcopenia may be bidirectional, because sarcopenia could not only cause COPD progression but also follow the disuse of muscle accompanied with the progression [145,146]. Theoretically, we should consider treatment for both sarcopenia and COPD itself. When focusing on sarcopenia, pulmonary rehabilitation including intensive training can reverse sarcopenia in some patients with COPD [146]. Since the reduction in slow-twitch type 1 myofibers offering endurance capacity are observed in COPD, the sustainable strengthening of low-intensity exercise such as daily living activity could be an effective approach. Additionally, a combination of rehabilitation and another therapeutic strategy such as adequate nutritional support might be useful to improve sarcopenic obesity and cachexia [154].

6.6. Frailty/Sedentary Lifestyle

Frailty is defined as a clinical state of vulnerability to stressors following age-associated deterioration in multiple organs and molecular systems [155]. The prevalence range of frailty in COPD is 20–57% [156,157]. The physical characteristics include muscle weakness, weight loss, low energy production, and reduced exercise tolerance [156,157]. Frailty often leads to the onset of a negative spiral called the “cycle of frailty”, and it is significantly associated with adverse health outcomes such as sedentary lifestyle, hospitalization, and mortality [155,156,158,159]. In fact, Vaz Fragoso et al. reported that frail patients who also had respiratory impairment had a nearly 4-fold increased risk of death relative to those who were non-frail and had normal pulmonary function [158]. Furthermore, patients with COPD and frailty are more likely to be readmitted within 90 days of hospitalization for COPD exacerbations, even after adjusting for age and several disease-related factors [159].
Of importance, frailty could be reversible because it is a dynamic process with frequent transitions between frailty status over time [160]. Actually, rehabilitation programs improve the frail status, the frailty could be changed for approximately one third of patients with stable COPD, and the transitions are correlated with meaningful changes in clinical outcome [161,162]. Moreover, a recent prospective study of COPD patients with an admission history reported that a greater quantity of low-intensity physical activity reduces the risk of hospitalization due to COPD, but high-intensity physical activity does not produce any risk reduction [163].
Many previous studies have shown that most patients with COPD spend significantly less time walking and standing and more time sitting and lying in their daily life when compared with sedentary healthy elderly subjects [164,165,166]. Recently, dual bronchodilator therapy has been shown to reduce the sedentary time by 8.64 min in COPD patients [167], but it remains unclear whether this indicates a clinical improvement with drug treatment and whether this improvement can contribute to better clinical outcomes. In patients with COPD, reduced physical activity is thought to have a behavioral component, in which patients choose to reduce their activity. Self-limiting activities to reduce dyspnea can give the impression that the patient is less symptomatic than they actually are, but it is important that patients know that activity avoidance can exacerbate dyspnea [10]. Therefore, it might be ideal to focus on behavior change, targeting low-intensity activity such as daily physical activity in order to improve frailty and sedentary behavior. In fact, a self-management behavior- modification program combined with exercise training and bronchodilation has been shown to be an effective intervention to reduce physical activity-related dyspnea and difficulty [168]. Moreover, a recent prospective study reported that the combination of the assist use of inhaled short-acting beta-2 agonists (SABA) and coaching targeting self-limiting daily activities significantly improved physical activity in COPD patients [169]. In this report, the physicians initially identified patient-specific restrictions of daily behavior due to dyspnea, then coached patients to conduct the adequate use of SABA prior to their limited physical activity [169]. These data suggest that the combination of a bronchodilator with coaching based on self-limiting activities may be a useful approach to modify the sedentary lifestyle of COPD patients.
The coexistence of immobility and mild cognitive impairment could be an early sign of dementia, and this status is currently proposed as motoric cognitive risk (MCR) [170,171,172]. Since dementia has a direct impact on quality of life and social activities for COPD patients, clarifying the association between frailty and MCR will help to develop a novel approach to avoid a sedentary life and cognitive risk. The view of the vicious cycle of frailty/sedentary lifestyle in patients with COPD and potential approaches to attenuate the negative impact of this cycle are summarized in Figure 3.

7. Future Directions

By reviewing the current literature, several promising approaches can be identified for comorbid conditions in COPD patients, such as bronchiectasis, asthma, heart failure, sleep apnea, malnutrition, and frailty. Importantly, the published evidence shows that these interventions bring significant improvements in patient-centered outcomes, including symptoms, dyspnea, exacerbations, and quality of life. By contrast, there remain unanswered questions about adequate treatment strategies for comorbid pulmonary hypertension, gastroesophageal reflux, anxiety, and depression. Nevertheless, several challenges can also be found in the new treatment strategy that proposes to identify treatable conditions early and to treat patient-specific clinical characteristics in parallel with usual care [9]. This approach must be adapted to the situation of clinical practice, taking into account the characteristics of the patients. However, medical resources vary greatly from country to country. In some regions, it is difficult to access some diagnostic tools, such as CT, FeNO, echocardiography, and polysomnography, and some therapeutic agents may not be approved. The low utilization of these resources can cause an underestimation of comorbidities and is a significant barrier to adequate disease management. Moreover, since COPD is a very common disease, it is ideal that the multiple comorbid conditions can be comprehensively and easily assessed by primary care providers, pulmonary specialists, and other physicians. If the evaluation method is highly accurate but requires expert knowledge and skills, it will not be fully used, and, as a result, treatable comorbidities will be latent in COPD patients without proper management. From this viewpoint, it is important to develop simplified diagnostic criteria and indices of disease activity. Very recently, some emerging statements on how to assess the coexistence of asthma characteristics in patients with COPD have started to provide simplified diagnostic criteria including symptoms, personal history, and type 2 inflammation biomarkers [73,173,174]. Henceforth, similar approaches have the potential to promote personalized COPD management for challenging patients with remaining unmet needs.

Author Contributions

K.M., conceptualization, writing—original draft preparation, writing—review and editing; M.H., J.S., K.O., M.A.-N., and T.H., writing—original draft preparation, writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This work received no external funding.

Acknowledgments

The authors thank Brent Bell for reading the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Pauwels, R.A.; Rabe, K.F. Burden and clinical features of chronic obstructive pulmonary disease (COPD). Lancet 2004, 364, 613–620. [Google Scholar] [PubMed]
  2. Chapman, K.R.; Mannino, D.M.; Soriano, J.B.; Vermeire, P.A.; Buist, A.S.; Thun, M.J.; Connell, C.; Jemal, A.; Lee, T.A.; Miravitlles, M.; et al. Epidemiology and costs of chronic obstructive pulmonary disease. Eur. Respir. J. 2006, 27, 188–207. [Google Scholar] [PubMed] [Green Version]
  3. Global Initiative for Chronic Obstructive Lung Disease. 2020 Report: Global Strategy for Prevention, Diagnosis and Management of COPD. Available online: https://goldcopd.org/gold-reports/ (accessed on 1 June 2020).
  4. Donohue, J.F.; Jones, P.W.; Bartels, C.; Marvel, J.; D’Andrea, P.; Banerji, D.; Morris, D.G.; Patalano, F.; Fogel, R. Correlations between FEV1 and patient-reported outcomes: A pooled analysis of 23 clinical trials in patients with chronic obstructive pulmonary disease. Plum. Pharmacol. Ther. 2018, 49, 11–19. [Google Scholar]
  5. Han, M.K.; Agusti, A.; Calverly, P.M.; Celli, B.R.; Criner, G.; Curtis, J.L.; Fabbri, L.M.; Goldin, J.G.; Jones, P.W.; MacNee, W.; et al. Chronic obstructive pulmonary disease pnenotypes. The future of COPD. Am. J. Respir. Crit. Care Med. 2010, 182, 598–604. [Google Scholar]
  6. Minakata, Y.; Morishita, Y.; Ichikawa, T.; Akamatsu, K.; Hirano, T.; Nakanishi, M.; Matsunaga, K.; Ichinose, M. Effects of pharmacologic treatment based on airflow limitation and breathlessness on daily physical activity in patients with chronic obstructive pulmonary disease. Int. J. Chron. Obstruct. Pulmon. Dis. 2015, 10, 1275–1282. [Google Scholar]
  7. Polverino, F.; Celli, B. The Challenge of controlling the COPD epidemic: Unmet needs. Am. J. Med. 2018, 131, 1–6. [Google Scholar]
  8. Franssen, F.M.E.; Alter, P.; Bar, N.; Benedikter, B.J.; Iurato, S.; Maier, D.; Maxheim, M.; Roessler, F.K.; Spruit, M.A.; Vogelmeier, C.F.; et al. Personalized medicine for patients with COPD: Where are we? Int. J. Chron. Obstruct. Pulmon. Dis. 2019, 14, 1465–1484. [Google Scholar]
  9. Matsunaga, K.; Oishi, K.; Miravitlles, M.; Anzueto, A. Time to revise COPD treatment algorithm. Int. J. Chron. Obstruct. Pulmon. Dis. 2019, 14, 2229–2234. [Google Scholar]
  10. Hanania, N.A.; O’Donnell, D.E. Activity-related dyspnea in chronic obstructive pulmonary disease: Physical and psychological consequences, unmet needs, and future directions. Int. J. Chron. Obstruct. Pulmon. Dis. 2019, 14, 1127–1138. [Google Scholar]
  11. Celli, B.R.; Wedzicha, J.A. Update on clinical aspects of chronic obstructive pulmonary disease. N. Engl. J. Med. 2019, 381, 1257–1266. [Google Scholar]
  12. Dransfield, M.T.; Kunisaki, K.M.; Strand, M.J.; Anzueto, A.; Bhatt, S.P.; Bowler, R.P.; Criner, G.J.; Curtis, J.L.; Hanania, N.A.; Nath, H.; et al. Acute exacerbations and lung function loss in smokers with and without chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 2017, 195, 324–330. [Google Scholar] [PubMed] [Green Version]
  13. Anzueto, A.; Miravitlles, M. Chronic obstructive pulmonary disease exacerbations: A need for action. Am. J. Med. 2018, 131, 15–22. [Google Scholar] [PubMed]
  14. Matsunaga, K.; Hayata, A.; Akamatsu, K.; Hirano, T.; Tamada, T.; Kamei, T.; Tsuda, T.; Nakamura, H.; Takahashi, T.; Hozawa, S.; et al. Stratifying the risk of COPD exacerbation using the modified Medical Research Council scale: A multicenter cross-sectional CAP study. Respir. Investig. 2015, 53, 82–85. [Google Scholar] [CrossRef]
  15. Oishi, K.; Hirano, T.; Hamada, K.; Uehara, S.; Suetake, R.; Yamaji, Y.; Ito, K.; Asami-Noyama, M.; Edakuni, N.; Matsunaga, K. Characteristics of 2017 GOLD COPD group A: A multicenter cross-sectional CAP study in Japan. Int. J. Chron. Obstruct. Pulmon. Dis. 2018, 13, 3901–3907. [Google Scholar] [PubMed] [Green Version]
  16. Akamatsu, K.; Matsunaga, K.; Sugiura, H.; Koarai, A.; Hirano, T.; Ichnose, M. Improvement of Airflow Limitation by Fluticasone Propionate/Salmeterol in Chronic Obstructive Pulmonary Disease: What is the Specific Marker? Front. Pharmacol. 2011, 2, 6. [Google Scholar]
  17. Pavord, I.D.; Lettis, S.; Locantore, N.; Pascoe, S.; Jones, P.W.; Wedzicha, J.A.; Barnes, N.C. Blood eosinophils and inhaled corticosteroid/long-acting beta-2 agonist efficacy in COPD. Thorax 2016, 71, 118–125. [Google Scholar]
  18. Yamaji, Y.; Oishi, K.; Hamada, K.; Ohteru, Y.; Chikumoto, A.; Murakawa, K.; Matsuda, K.; Suetake, R.; Murata, Y.; Ito, K.; et al. Detection of type2 biomarkers for response in COPD. J. Breath Res. 2020, 14, 026007. [Google Scholar] [CrossRef]
  19. Dransfield, M.T.; Rowe, S.M.; Johnson, E.; Bailey, W.C.; Gerald, L.B. Use of β blockers and the risk of death in hospitalised patients with acute exacerbations of COPD. Thorax 2007, 63, 301–305. [Google Scholar] [CrossRef] [Green Version]
  20. Du, Q.; Sun, Y.; Ding, N.; Lu, L.; Chen, Y. Beta-blockers reduced the risk of mortality and exacerbation in patients with COPD: A meta-analysis of observational studies. PLoS ONE 2014, 9, e113048. [Google Scholar] [CrossRef] [Green Version]
  21. MacDonald, M.I.; Shafudain, E.; King, P.T.; Chang, C.L.; Bardin, P.G.; Hancox, R.J. Cardiac dysfunction during exacerbations of chronic obstructive pulmonary disease. Lancet Respir. Med. 2016, 4, 138–148. [Google Scholar]
  22. Miravitlles, M.; Anzueto, A. Antibiotic prophylaxis in COPD: Why, when, and for whom? Pulm. Pharmacol. Ther. 2015, 32, 119–123. [Google Scholar] [CrossRef] [PubMed]
  23. Segal, L.N.; Clemente, J.C.; Wu, B.G.; Wikoff, W.R.; Gao, Z.; Li, Y.; Ko, J.P.; Rom, W.N.; Blaser, M.J.; Weiden, M.D. Randomised, double-blind, placebo-controlled trial with azithromycin selects for anti-inflammatory microbial metabolites in the emphysematous lung. Thorax 2017, 72, 13–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Lopez-Campos, J.L.; Miravitlles, M.; de la Rosa Carrillo, D.; Canton, R.; Soler-Cataluna, J.J.; Martinez-Garcia, M.A. Current challenges in chronic bronchial infection in patients with chronic obstructive pulmonary disease. J. Clin. Med. 2020, 28, 1639. [Google Scholar] [CrossRef] [PubMed]
  25. Matkovic, Z.; Miravitlles, M. Chronic bronchial infection in COPD. Is there an infective phenotype? Respir. Med. 2013, 107, 10–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. De la Rosa Carrillo, D.; López-Campos, J.L.; Olveira Fuster, C.; Alcázar Navarrete, B.; Máiz Carro, L.; Calle Rubio, M.; Cantón Moreno, R.; García-Rivero, J.L.; Martínez-García, M.A. Consensus document on the diagnosis and treatment of chronic bronchial infection in chronic obstructive pulmonary disease. Arch. Bronconeumol. 2020, 20, 30145–30149. [Google Scholar]
  27. Rhee, C.K.; Chau, N.Q.; Yunus, F.; Matsunaga, K.; Perng, D.W. Management of COPD in Asia: A position statement of the Asian Pacific Society of Respirology. Respirology 2019, 24, 1018–1025. [Google Scholar] [CrossRef] [Green Version]
  28. Martinez-Garcia, M.A.; de la Rosa-Carrillo, D.; Soler-Cataluna, J.J.; Catalan-Serra, P.; Ballester, M.; Roca Vanaclocha, Y.; Agramunt, M.; Ballestin, J.; Garcia-Ortega, A.; Oscullo, G.; et al. Bronchial infection and temporal evolution of bronchiectasis in patients with chronic obstructive pulmonary disease. Clin. Infect. Dis. 2020, in press. [Google Scholar] [CrossRef]
  29. Seemungal, T.A.; Wilkinson, T.M.; Hurst, J.R.; Perera, W.R.; Sapsford, R.J.; Wedzicha, J.A. Long-term erythromycin therapy is associated with decreased chronic obstructive pulmonary disease exacerbations. Am. J. Respir. Crit. Care Med. 2008, 178, 1139–1147. [Google Scholar] [CrossRef]
  30. Yamaya, M.; Azuma, A.; Takizawa, H.; Kadota, J.; Tamaoki, J.; Kudoh, S. Macrolide effects on the prevention of COPD exacerbations. Eur. Respir. J. 2012, 40, 485–494. [Google Scholar] [CrossRef] [Green Version]
  31. Andrejak, C.; Nielsen, R.; Thomsen, V.O.; Duhaut, P.; Sorensen, H.T.; Thomsen, R.W. Chronic respiratory disease, inhaled corticosteroids and risk of non-tuberculous mycobacteriosis. Thorax 2013, 68, 256–262. [Google Scholar] [CrossRef] [Green Version]
  32. Vestbo, J.; Prescott, E.; Lange, P. Association of chronic mucus hypersecretion with FEV1 decline and chronic obstructive pulmonary disease morbidity. Copenhagen City Heart Study Group. Am. J. Respir. Crit. Care Med. 1996, 153, 1530–1535. [Google Scholar] [CrossRef]
  33. Decramer, M.; Janssens, W. Mucoactive therapy in COPD. Eur. Respir. Rev 2010, 19, 134–140. [Google Scholar] [CrossRef]
  34. Poole, P.; Chong, J.; Cates, C.J. Mucolytic agents versus placebo for chronic bronchitis or chronic obstructive pulmonary disease. Cochrane Database Syst. Rev. 2015, CD001287. [Google Scholar] [CrossRef]
  35. Wedzicha, J.A.; Miravitlles, M.; Hurst, J.R.; Calverley, P.M.; Albert, R.K.; Anzueto, A.; Criner, G.J.; Papi, A.; Rabe, K.F.; Rigau, D.; et al. Management of COPD exacerbations: A European Respiratory Society/American Thoracic Society guideline. Eur. Respir. J. 2017, 49, 1600791. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Cascini, S.; Kirchmayer, U.; Belleudi, V.; Bauleo, L.; Pistelli, R.; Di Martino, M.; Formoso, G.; Davoli, M.; Agabiti, N. Inhaled corticosteroid use in chronic obstructive pulmonary disease and risk of pneumonia: A nested case-control population-based study in Lazio (Italy)-the outpul study. COPD 2017, 14, 311–317. [Google Scholar] [CrossRef] [PubMed]
  37. Singanayagam, A.; Glanville, N.; Girkin, J.L.; Ching, Y.M.; Marcellini, A.; Porter, J.D.; Toussaint, M.; Walton, R.P.; Finney, L.J.; Aniscenko, J.; et al. Corticosteroid suppression of antiviral immunity increases bacterial loads and mucus production in COPD exacerbations. Nat. Commun. 2018, 9, 2229. [Google Scholar] [CrossRef] [PubMed]
  38. Singanayagam, A.; Glanville, N.; Cuthbertson, L.; Bartlett, N.W.; Finney, L.J.; Turek, E.; Bakhsoliani, E.; Calderazzo, M.A.; Trujillo-Torralbo, M.B.; Footitt, J.; et al. Inhaled corticosteroid suppression of cathelicidin drives dysbiosis and bacterial infection in chronic obstructive pulmonary disease. Sci. Transl. Med. 2019, 11, eaav3879. [Google Scholar] [CrossRef]
  39. Contoli, M.; Pauletti, A.; Rossi, M.R.; Spanevello, A.; Casolari, P.; Marcellini, A.; Forini, G.; Gnesini, G.; Marku, B.; Barnes, N.; et al. Long-term effects of inhaled corticosteroids on sputum bacterial and viral loads in COPD. Eur. Respir. J. 2017, 50, 1700451. [Google Scholar] [CrossRef] [Green Version]
  40. Martinez-Garcia, M.A.; Faner, R.; Oscullo, G.; de la Rosa-Carrillo, D.; Soler-Cataluna, J.J.; Ballester, M.; Agusti, A. Inhaled steroids, circulating eosinophils, chronic airway infection and pneumonia risk in chronic obstructive pulmonary disease: A network analysis. Am. J. Respir. Crit. Care Med. 2020, 201, 1078–1085. [Google Scholar] [CrossRef]
  41. Barnes, P.J. Inflammatory mechanisms in patients with chronic obstructive pulmonary disease. J. Allergy Clin. Immunol. 2016, 138, 16–27. [Google Scholar] [CrossRef] [Green Version]
  42. Christenson, S.A.; Steiling, K.; van den Berge, M.; Hijazi, K.; Hiemstra, P.S.; Postma, D.S.; Lenburg, M.E.; Spira, A.; Woodruff, P.G. Asthma-COPD overlap. Clinical relevance of genomic signatures of type 2 inflammation in chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 2015, 191, 758–766. [Google Scholar] [CrossRef] [Green Version]
  43. McGeachie, M.J.; Yates, K.P.; Zhou, X.; Guo, F.; Sternberg, A.L.; Van Natta, M.L.; Wise, R.A.; Szefler, S.J.; Sharma, S.; Kho, A.T.; et al. Patterns of Growth and Decline in Lung Function in Persistent Childhood Asthma. N. Engl. J. Med. 2016, 374, 1842–1852. [Google Scholar] [CrossRef]
  44. James, A.L.; Palmer, L.J.; Kicic, E.; Maxwell, P.S.; Lagan, S.E.; Ryan, G.F.; Musk, A.W. Decline in lung function in the Busselton Health Study: The effects of asthma and cigarette smoking. Am. J. Respir. Crit. Care Med. 2005, 171, 109–114. [Google Scholar] [CrossRef]
  45. Strunk, R.C.; Weiss, S.T.; Yates, K.P.; Tonascia, J.; Zeiger, R.S.; Szefler, S.J. Mild to moderate asthma affects lung growth in children and adolescents. J. Allergy Clin. Immunol. 2006, 118, 1040–1047. [Google Scholar] [CrossRef]
  46. Bisgaard, H.; Jensen, S.M.; Bønnelykke, K. Interaction between asthma and lung function growth in early life. Am. J. Respir. Crit. Care Med. 2012, 185, 1183–1189. [Google Scholar] [CrossRef]
  47. Morgan, W.J.; Stern, D.A.; Sherrill, D.L.; Guerra, S.; Holberg, C.J.; Guilbert, T.W.; Taussig, L.M.; Wright, A.L.; Martinez, F.D. Outcome of asthma and wheezing in the first 6 years of life: Follow-up through adolescence. Am. J. Respir. Crit. Care Med. 2005, 172, 1253–1258. [Google Scholar] [CrossRef] [Green Version]
  48. Håland, G.; Carlsen, K.C.; Sandvik, L.; Devulapalli, C.S.; Munthe-Kaas, M.C.; Pettersen, M.; Carlsen, K.H. Reduced lung function at birth and the risk of asthma at 10 years of age. N. Engl. J. Med. 2006, 355, 1682–1689. [Google Scholar] [CrossRef] [Green Version]
  49. Sears, M.R.; Greene, J.M.; Willan, A.R.; Wiecek, E.M.; Taylor, D.R.; Flannery, E.M.; Cowan, J.O.; Herbison, G.P.; Silva, P.A.; Poulton, R. A longitudinal, population-based, cohort study of childhood asthma followed to adulthood. N. Engl. J. Med. 2003, 349, 1414–1422. [Google Scholar] [CrossRef] [Green Version]
  50. Bui, D.S.; Lodge, C.J.; Burgess, J.A.; Lowe, A.J.; Perret, J.; Bui, M.Q.; Bowatte, G.; Gurrin, L.; Johns, D.P.; Thompson, B.R.; et al. Childhood predictors of lung function trajectories and future COPD risk: A prospective cohort study from the first to the sixth decade of life. Lancet Respir. Med. 2018, 6, 535–544. [Google Scholar] [CrossRef]
  51. Kauppi, P.; Kupiainen, H.; Lindqvist, A.; Tammilehto, L.; Kilpeläinen, M.; Kinnula, V.L.; Haahtela, T.; Laitinen, T. Overlap syndrome of asthma and COPD predicts low quality of life. J. Asthma 2011, 48, 279–285. [Google Scholar] [CrossRef]
  52. Fattahi, F.; ten Hacken, N.H.; Löfdahl, C.G.; Hylkema, M.N.; Timens, W.; Postma, D.S.; Vonk, J.M. Atopy is a risk factor for respiratory symptoms in COPD patients: Results from the EUROSCOP study. Respir. Res. 2013, 14, 10. [Google Scholar] [CrossRef] [Green Version]
  53. Jamieson, D.B.; Matsui, E.C.; Belli, A.; McCormack, M.C.; Peng, E.; Pierre-Louis, S.; Curtin-Brosnan, J.; Breysse, P.N.; Diette, G.B.; Hansel, N.N. Effects of allergic phenotype on respiratory symptoms and exacerbations in patients with chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 2013, 188, 187–192. [Google Scholar] [CrossRef]
  54. Vedel-Krogh, S.; Nielsen, S.F.; Lange, P.; Vestbo, J.; Nordestgaard, B.G. Blood Eosinophils and Exacerbations in Chronic Obstructive Pulmonary Disease. The Copenhagen General Population Study. Am. J. Respir. Crit. Care Med. 2016, 193, 965–974. [Google Scholar] [CrossRef]
  55. Yun, J.H.; Lamb, A.; Chase, R.; Singh, D.; Parker, M.M.; Saferali, A.; Vestbo, J.; Tal-Singer, R.; Castaldi, P.J.; Silverman, E.K.; et al. Blood eosinophil count thresholds and exacerbations in patients with chronic obstructive pulmonary disease. J. Allergy Clin. Immunol. 2018, 141, 2037–2047.e10. [Google Scholar] [CrossRef] [Green Version]
  56. Alcázar-Navarrete, B.; Ruiz Rodríguez, O.; Conde Baena, P.; Romero Palacios, P.J.; Agusti, A. Persistently elevated exhaled nitric oxide fraction is associated with increased risk of exacerbation in COPD. Eur. Respir. J. 2018, 51, 1701457. [Google Scholar] [CrossRef] [Green Version]
  57. Hancox, R.J.; Pavord, I.D.; Sears, M.R. Associations between blood eosinophils and decline in lung function among adults with and without asthma. Eur. Respir. J. 2018, 51, 1702536. [Google Scholar] [CrossRef]
  58. McDonald, V.M.; Simpson, J.L.; Higgins, I.; Gibson, P.G. Multidimensional assessment of older people with asthma and COPD: Clinical management and health status. Age Ageing 2011, 40, 42–49. [Google Scholar] [CrossRef] [Green Version]
  59. Shaya, F.T.; Dongyi, D.; Akazawa, M.O.; Blanchette, C.M.; Wang, J.; Mapel, D.W.; Dalal, A.; Scharf, S.M. Burden of concomitant asthma and COPD in a Medicaid population. Chest 2008, 134, 14–19. [Google Scholar] [CrossRef]
  60. Watz, H.; Tetzlaff, K.; Wouters, E.F.; Kirsten, A.; Magnussen, H.; Rodriguez-Roisin, R.; Vogelmeier, C.; Fabbri, L.M.; Chanez, P.; Dahl, R.; et al. Blood eosinophil count and exacerbations in severe chronic obstructive pulmonary disease after withdrawal of inhaled corticosteroids: A post-hoc analysis of the WISDOM trial. Lancet Respir. Med. 2016, 4, 390–398. [Google Scholar] [CrossRef]
  61. Tamada, T.; Sugiura, H.; Takahashi, T.; Matsunaga, K.; Kimura, K.; Katsumata, U.; Takekoshi, D.; Kikuchi, T.; Ohta, K.; Ichinose, M. Biomarker-based detection of asthma-COPD overlap syndrome in COPD populations. Int. J. Chron. Obstruct. Pulmon. Dis. 2015, 10, 2169–2176. [Google Scholar] [CrossRef] [Green Version]
  62. Jin, J.; Liu, X.; Sun, Y. The prevalence of increased serum IgE and Aspergillus sensitization in patients with COPD and their association with symptoms and lung function. Respir. Res. 2014, 15, 130. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Bafadhel, M.; McKenna, S.; Agbetile, J.; Fairs, A.; Desai, D.; Mistry, V.; Morley, J.P.; Pancholi, M.; Pavord, I.D.; Wardlaw, A.J.; et al. Aspergillus fumigatus during stable state and exacerbations of COPD. Eur. Respir. J. 2014, 43, 64–71. [Google Scholar] [CrossRef] [PubMed]
  64. Oishi, K.; Hirano, T.; Chikumoto, A.; Ohteru, Y.; Murakawa, K.; Matsuda, K.; Hamada, K.; Suetake, R.; Yamaji, Y.; Murata, Y.; et al. Biomarker-Based Detection of Type-2 Inflammation in COPD Patients. Am. J. Respir. Crit. Care Med. 2020, 201, A2546. [Google Scholar]
  65. Pascoe, S.; Barnes, N.; Brusselle, G.; Compton, C.; Criner, G.J.; Dransfield, M.T.; Halpin, D.M.G.; Han, M.K.; Hartley, B.; Lange, P.; et al. Blood eosinophils and treatment response with triple and dual combination therapy in chronic obstructive pulmonary disease: Analysis of the IMPACT trial. Lancet Respir. Med. 2019, 7, 745–756. [Google Scholar] [CrossRef]
  66. Ferguson, G.T.; Rabe, K.F.; Martinez, F.J.; Fabbri, L.M.; Wang, C.; Ichinose, M.; Bourne, E.; Ballal, S.; Darken, P.; DeAngelis, K.; et al. Triple therapy with budesonide/glycopyrrolate/formoterol fumarate with co-suspension delivery technology versus dual therapies in chronic obstructive pulmonary disease (KRONOS): A double-blind, parallel-group, multicentre, phase 3 randomised controlled trial. Lancet Respir. Med. 2018, 6, 747–758. [Google Scholar] [PubMed]
  67. Bafadhel, M.; Peterson, S.; De Blas, M.A.; Calverley, P.M.; Rennard, S.I.; Richter, K.; Fagerås, M. Predictors of exacerbation risk and response to budesonide in patients with chronic obstructive pulmonary disease: A post-hoc analysis of three randomised trials. Lancet Respir. Med. 2018, 6, 117–126. [Google Scholar] [CrossRef]
  68. Chapman, K.R.; Hurst, J.R.; Frent, S.M.; Larbig, M.; Fogel, R.; Guerin, T.; Banerji, D.; Patalano, F.; Goyal, P.; Pfister, P.; et al. Long-Term Triple Therapy De-escalation to Indacaterol/Glycopyrronium in Patients with Chronic Obstructive Pulmonary Disease (SUNSET): A Randomized, Double-Blind, Triple-Dummy Clinical Trial. Am. J. Respir. Crit. Care Med. 2018, 198, 329–339. [Google Scholar] [CrossRef] [Green Version]
  69. Song, J.H.; Lee, C.H.; Kim, J.W.; Lee, W.Y.; Jung, J.Y.; Park, J.H.; Jung, K.S.; Yoo, K.H.; Park, Y.B.; Kim, D.K. Clinical implications of blood eosinophil count in patients with non-asthma-COPD overlap syndrome COPD. Int. J. Chron. Obstruct. Pulmon. Dis. 2017, 12, 2455–2464. [Google Scholar] [CrossRef] [Green Version]
  70. Oshagbemi, O.A.; Franssen, F.M.E.; Braeken, D.C.W.; Henskens, Y.; Wouters, E.F.M.; Maitland-van der Zee, A.H.; Burden, A.M.; de Vries, F. Blood eosinophilia, use of inhaled corticosteroids, and risk of COPD exacerbations and mortality. Pharmacoepidemiol. Drug Saf. 2018, 27, 1191–1199. [Google Scholar] [CrossRef]
  71. Schumann, D.M.; Tamm, M.; Kostikas, K.; Stolz, D. Stability of the Blood Eosinophilic Phenotype in Stable and Exacerbated COPD. Chest 2019, 156, 456–465. [Google Scholar] [CrossRef]
  72. Kovalszki, A.; Weller, P.F. Eosinophilia. Prim Care 2016, 43, 607–617. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Yanagisawa, S.; Ichinose, M. Definition and diagnosis of asthma-COPD overlap (ACO). Allergol Int. 2018, 67, 172–178. [Google Scholar] [CrossRef] [PubMed]
  74. Pavord, I.D.; Chanez, P.; Criner, G.J.; Kerstjens, H.A.M.; Korn, S.; Lugogo, N.; Martinot, J.B.; Sagara, H.; Albers, F.C.; Bradford, E.S.; et al. Mepolizumab for Eosinophilic Chronic Obstructive Pulmonary Disease. N. Engl. J. Med. 2017, 377, 1613–1629. [Google Scholar] [CrossRef] [PubMed]
  75. Criner, G.J.; Celli, B.R.; Brightling, C.E.; Agusti, A.; Papi, A.; Singh, D.; Sin, D.D.; Vogelmeier, C.F.; Sciurba, F.C.; Bafadhel, M.; et al. Benralizumab for the Prevention of COPD Exacerbations. N. Engl. J. Med. 2019, 381, 1023–1034. [Google Scholar] [CrossRef] [Green Version]
  76. Sanders, M.H.; Newman, A.B.; Haggerty, C.L.; Redline, S.; Lebowitz, M.; Samet, J.; O’Connor, G.T.; Punjabi, N.M.; Shahar, E. Sleep and sleep-disordered breathing in adults with predominantly mild obstructive airway disease. Am. J. Respir. Crit. Care Med. 2003, 167, 7–14. [Google Scholar] [CrossRef]
  77. Heinzer, R.; Vat, S.; Marques-Vidal, P.; Marti-Soler, H.; Andries, D.; Tobback, N.; Mooser, V.; Preisig, M.; Malhotra, A.; Waeber, G.; et al. Prevalence of sleep-disordered breathing in the general population: The HypnoLaus study. Lancet Respir. Med. 2015, 3, 310–318. [Google Scholar] [CrossRef] [Green Version]
  78. Zamarrón, C.; Paz, V.G.; Morete, E.; del Campo Matías, F. Association of chronic obstructive pulmonary disease and obstructive sleep apnea consequences. Int. J. Chron. Obstruct. Pulmon. Dis. 2008, 3, 671–682. [Google Scholar] [CrossRef] [Green Version]
  79. Xu, J.; Wei, Z.; Wang, X.; Li, X.; Wang, W. The Risk of Cardiovascular and Cerebrovascular Disease in Overlap Syndrome: A Meta-Analysis. J. Clin. Sleep Med. 2020, 16, 1199–1207. [Google Scholar] [CrossRef]
  80. Kendzerska, T.; Leung, R.S.; Aaron, S.D.; Ayas, N.; Sandoz, J.S.; Gershon, A.S. Cardiovascular Outcomes and All-Cause Mortality in Patients with Obstructive Sleep Apnea and Chronic Obstructive Pulmonary Disease (Overlap Syndrome). Ann. Am. Thorac. Soc. 2019, 16, 71–81. [Google Scholar] [CrossRef]
  81. Agusti, A.; Hedner, J.; Marin, J.M.; Barbé, F.; Cazzola, M.; Rennard, S. Night-time symptoms: A forgotten dimension of COPD. Eur. Respir. Rev. 2011, 20, 183–194. [Google Scholar] [CrossRef]
  82. Marin, J.M.; Soriano, J.B.; Carrizo, S.J.; Boldova, A.; Celli, B.R. Outcomes in patients with chronic obstructive pulmonary disease and obstructive sleep apnea: The overlap syndrome. Am. J. Respir. Crit. Care Med. 2010, 182, 325–331. [Google Scholar] [CrossRef] [PubMed]
  83. Pantazopoulos, I.; Daniil, Z.; Moylan, M.; Gourgoulianis, K.; Chalkias, A.; Zakynthinos, S.; Ischaki, E. Nasal High Flow Use in COPD Patients with Hypercapnic Respiratory Failure: Treatment Algorithm & Review of the Literature. COPD 2020, 17, 101–111. [Google Scholar] [PubMed]
  84. Oswald-Mammosser, M.; Weitzenblum, E.; Quoix, E.; Moser, G.; Chaouat, A.; Charpentier, C.; Kessler, R. Prognostic factors in COPD patients receiving long-term oxygen therapy. Importance of pulmonary artery pressure. Chest 1995, 107, 1193–1198. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Simonneau, G.; Montani, D.; Celermajer, D.S.; Denton, C.P.; Gatzoulis, M.A.; Krowka, M.; Williams, P.G.; Souza, R. Haemodynamic definitions and updated clinical classification of pulmonary hypertension. Eur. Respir. J. 2019, 53, 1801913. [Google Scholar] [CrossRef] [PubMed]
  86. Sakao, S.; Voelkel, N.F.; Tatsumi, K. The vascular bed in COPD: Pulmonary hypertension and pulmonary vascular alterations. Eur. Respir. Rev. 2014, 23, 350–355. [Google Scholar] [CrossRef] [PubMed]
  87. Cottin, V.; Le Pavec, J.; Prévot, G.; Mal, H.; Humbert, M.; Simonneau, G.; Cordier, J.F. Pulmonary hypertension in patients with combined pulmonary fibrosis and emphysema syndrome. Eur. Respir. J. 2010, 35, 105–111. [Google Scholar] [CrossRef]
  88. Mejía, M.; Carrillo, G.; Rojas-Serrano, J.; Estrada, A.; Suárez, T.; Alonso, D.; Barrientos, E.; Gaxiola, M.; Navarro, C.; Selman, M. Idiopathic pulmonary fibrosis and emphysema: Decreased survival associated with severe pulmonary arterial hypertension. Chest 2009, 136, 10–15. [Google Scholar] [CrossRef]
  89. Timms, R.M.; Khaja, F.U.; Williams, G.W. Hemodynamic response to oxygen therapy in chronic obstructive pulmonary disease. Ann. Intern. Med. 1985, 102, 29–36. [Google Scholar] [CrossRef]
  90. Weitzenblum, E.; Sautegeau, A.; Ehrhart, M.; Mammosser, M.; Pelletier, A. Long-term oxygen therapy can reverse the progression of pulmonary hypertension in patients with chronic obstructive pulmonary disease. Am. Rev. Respir. Dis. 1985, 131, 493–498. [Google Scholar] [CrossRef]
  91. Blanco, I.; Gimeno, E.; Munoz, P.A.; Pizarro, S.; Gistau, C.; Rodriguez-Roisin, R.; Roca, J.; Barberà, J.A. Hemodynamic and gas exchange effects of sildenafil in patients with chronic obstructive pulmonary disease and pulmonary hypertension. Am. J. Respir. Crit. Care Med. 2010, 181, 270–278. [Google Scholar] [CrossRef]
  92. Stolz, D.; Rasch, H.; Linka, A.; Di Valentino, M.; Meyer, A.; Brutsche, M.; Tamm, M. A randomised, controlled trial of bosentan in severe COPD. Eur. Respir. J. 2008, 32, 619–628. [Google Scholar] [CrossRef] [PubMed]
  93. Chen, X.; Tang, S.; Liu, K.; Li, Q.; Kong, H.; Zeng, X.; Xie, W.; Wang, H. Therapy in stable chronic obstructive pulmonary disease patients with pulmonary hypertension: A systematic review and meta-analysis. J. Thorac. Dis. 2015, 7, 309–319. [Google Scholar] [PubMed]
  94. Tanabe, N.; Taniguchi, H.; Tsujino, I.; Sakamaki, F.; Emoto, N.; Kimura, H.; Takamura, K.; Hanaoka, M.; Nishimura, M.; Tatsumi, K.; et al. Multi-institutional retrospective cohort study of patients with severe pulmonary hypertension associated with respiratory diseases. Respirology 2015, 20, 805–812. [Google Scholar] [CrossRef]
  95. Hurdman, J.; Condliffe, R.; Elliot, C.A.; Swift, A.; Rajaram, S.; Davies, C.; Hill, C.; Hamilton, N.; Armstrong, I.J.; Billings, C.; et al. Pulmonary hypertension in COPD: Results from the ASPIRE registry. Eur. Respir. J. 2013, 41, 1292–1301. [Google Scholar] [CrossRef]
  96. Seeger, W.; Adir, Y.; Barberà, J.A.; Champion, H.; Coghlan, J.G.; Cottin, V.; De Marco, T.; Galiè, N.; Ghio, S.; Gibbs, S.; et al. Pulmonary hypertension in chronic lung diseases. J. Am. Coll. Cardiol. 2013, 62, 109–116. [Google Scholar] [CrossRef] [PubMed]
  97. Rabe, K.F.; Hurst, J.R.; Suissa, S. Cardiovascular disease and COPD: Dangerous liaisons? Eur. Respir. Rev. 2018, 27, 180057. [Google Scholar] [CrossRef]
  98. Bhatt, S.P.; Dransfield, M.T. Chronic obstructive pulmonary disease and cardiovascular disease. Transl. Res. 2013, 162, 237–251. [Google Scholar] [CrossRef]
  99. Chen, W.; Thomas, J.; Sadatsafavi, M.; FitzGerald, J.M. Risk of cardiovascular comorbidity in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis. Lancet Respir. Med. 2015, 3, 631–639. [Google Scholar] [CrossRef]
  100. Hawkins, N.M.; Petrie, M.C.; Jhund, P.S.; Chalmers, G.W.; Dunn, F.G.; McMurray, J.J. Heart failure and chronic obstructive pulmonary disease: Diagnostic pitfalls and epidemiology. Eur. J. Heart Fail. 2009, 11, 130–139. [Google Scholar] [CrossRef] [Green Version]
  101. Morgan, A.D.; Rothnie, K.J.; Bhaskaran, K.; Smeeth, L.; Quint, J.K. Chronic obstructive pulmonary disease and the risk of 12 cardiovascular diseases: A population-based study using UK primary care data. Thorax 2018, 73, 877–879. [Google Scholar] [CrossRef] [Green Version]
  102. Silvestre, O.M.; Nadruz, W., Jr.; Querejeta Roca, G.; Claggett, B.; Solomon, S.D.; Mirabelli, M.C.; London, S.J.; Loehr, L.R.; Shah, A.M. Declining Lung Function and Cardiovascular Risk: The ARIC Study. J. Am. Coll. Cardiol. 2018, 72, 1109–1122. [Google Scholar] [CrossRef]
  103. Buch, P.; Friberg, J.; Scharling, H.; Lange, P.; Prescott, E. Reduced lung function and risk of atrial fibrillation in the Copenhagen City Heart Study. Eur. Respir. J. 2003, 21, 1012–1016. [Google Scholar] [CrossRef]
  104. Morgan, A.D.; Zakeri, R.; Quint, J.K. Defining the relationship between COPD and CVD: What are the implications for clinical practice? Ther. Adv. Respir. Dis. 2018, 12, 1753465817750524. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Kunisaki, K.M.; Dransfield, M.T.; Anderson, J.A.; Brook, R.D.; Calverley, P.M.A.; Celli, B.R.; Crim, C.; Hartley, B.F.; Martinez, F.J.; Newby, D.E.; et al. Exacerbations of Chronic Obstructive Pulmonary Disease and Cardiac Events. A Post Hoc Cohort Analysis from the SUMMIT Randomized Clinical Trial. Am. J. Respir. Crit. Care Med. 2018, 198, 51–57. [Google Scholar] [CrossRef] [PubMed]
  106. Canepa, M.; Temporelli, P.L.; Rossi, A.; Rossi, A.; Gonzini, L.; Nicolosi, G.L.; Staszewsky, L.; Marchioli, R.; Maggioni, A.P.; Tavazzi, L. Prevalence and Prognostic Impact of Chronic Obstructive Pulmonary Disease in Patients with Chronic Heart Failure: Data from the GISSI-HF Trial. Cardiology 2017, 136, 128–137. [Google Scholar] [CrossRef]
  107. Rutten, F.H.; Cramer, M.J.; Grobbee, D.E.; Sachs, A.P.; Kirkels, J.H.; Lammers, J.W.; Hoes, A.W. Unrecognized heart failure in elderly patients with stable chronic obstructive pulmonary disease. Eur. Heart J. 2005, 26, 1887–1894. [Google Scholar] [CrossRef]
  108. van Riet, E.E.; Hoes, A.W.; Limburg, A.; Landman, M.A.; Kemperman, H.; Rutten, F.H. Extended prediction rule to optimise early detection of heart failure in older persons with non-acute shortness of breath: A cross-sectional study. BMJ. Open 2016, 6, e008225. [Google Scholar] [CrossRef] [Green Version]
  109. Kostikas, K.; Rhee, C.K.; Hurst, J.R.; Agostoni, P.; Cao, H.; Fogel, R.; Jones, R.; Kocks, J.W.H.; Mezzi, K.; Ming, S.W.Y.; et al. Adequacy of Therapy for People with Both COPD and Heart Failure in the UK: Historical Cohort Study. Pragmat. Obs. Res. 2020, 11, 55–66. [Google Scholar] [CrossRef] [PubMed]
  110. Rothnie, K.J.; Smeeth, L.; Herrett, E.; Pearce, N.; Hemingway, H.; Wedzicha, J.; Timmis, A.; Quint, J.K. Closing the mortality gap after a myocardial infarction in people with and without chronic obstructive pulmonary disease. Heart 2015, 101, 1103–1110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  111. Brunton, L.L.; Hilal-Dandon, R.; Knollman, B.C. Goodman & Gilman’s Pharmacological Basis of Therapeutics, 13th ed.; McGraw Hill: New York, NY, USA, 2018. [Google Scholar]
  112. Lainscak, M.; Podbregar, M.; Kovacic, D.; Rozman, J.; von Haehling, S. Differences between bisoprolol and carvedilol in patients with chronic heart failure and chronic obstructive pulmonary disease: A randomized trial. Respir. Med. 2011, 105 (Suppl. 1), S44–S49. [Google Scholar] [CrossRef] [Green Version]
  113. Kubota, Y.; Asai, K.; Furuse, E.; Nakamura, S.; Murai, K.; Tsukada, Y.T.; Shimizu, W. Impact of β-blocker selectivity on long-term outcomes in congestive heart failure patients with chronic obstructive pulmonary disease. Int. J. Chron. Obstruct. Pulmon. Dis. 2015, 10, 515–523. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Liao, K.M.; Lin, T.Y.; Huang, Y.B.; Kuo, C.C.; Chen, C.Y. The evaluation of β-adrenoceptor blocking agents in patients with COPD and congestive heart failure: A nationwide study. Int. J. Chron. Obstruct. Pulmon. Dis. 2017, 12, 2573–2581. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  115. Dransfield, M.T.; Voelker, H.; Bhatt, S.P.; Brenner, K.; Casaburi, R.; Come, C.E.; Cooper, J.A.D.; Criner, G.J.; Curtis, J.L.; Han, M.K.; et al. Metoprolol for the Prevention of Acute Exacerbations of COPD. N. Engl. J. Med. 2019, 381, 2304–2314. [Google Scholar] [CrossRef] [PubMed]
  116. Vogel-Claussen, J.; Schönfeld, C.O.; Kaireit, T.F.; Voskrebenzev, A.; Czerner, C.P.; Renne, J.; Tillmann, H.C.; Berschneider, K.; Hiltl, S.; Bauersachs, J.; et al. Effect of Indacaterol/Glycopyrronium on Pulmonary Perfusion and Ventilation in Hyperinflated Patients with Chronic Obstructive Pulmonary Disease (CLAIM). A Double-Blind, Randomized, Crossover Trial. Am. J. Respir. Crit. Care Med. 2019, 199, 1086–1096. [Google Scholar] [CrossRef] [PubMed]
  117. Hohlfeld, J.M.; Vogel-Claussen, J.; Biller, H.; Berliner, D.; Berschneider, K.; Tillmann, H.C.; Hiltl, S.; Bauersachs, J.; Welte, T. Effect of lung deflation with indacaterol plus glycopyrronium on ventricular filling in patients with hyperinflation and COPD (CLAIM): A double-blind, randomised, crossover, placebo-controlled, single-centre trial. Lancet Respir. Med. 2018, 6, 368–378. [Google Scholar] [CrossRef]
  118. Celli, B.R.; Cote, C.G.; Marin, J.M.; Casanova, C.; Montes de Oca, M.; Mendez, R.A.; Pinto Plata, V.; Cabral, H.J. The body-mass index, airflow obstruction, dyspnea, and exercise capacity index in chronic obstructive pulmonary disease. N. Engl. J. Med. 2004, 350, 1005–1012. [Google Scholar] [CrossRef] [Green Version]
  119. Prescott, E.; Almdal, T.; Mikkelsen, K.L.; Tofteng, C.L.; Vestbo, J.; Lange, P. Prognostic value of weight change in chronic obstructive pulmonary disease: Results from the Copenhagen City Heart Study. Eur. Respir. J. 2002, 20, 539–544. [Google Scholar] [CrossRef] [Green Version]
  120. Celli, B.R.; Locantore, N.; Tal-Singer, R.; Riley, J.; Miller, B.; Vestbo, J.; Yates, J.C.; Silverman, E.K.; Owen, C.A.; Divo, M.; et al. Emphysema and extrapulmonary tissue loss in COPD: A multi-organ loss of tissue phenotype. Eur. Respir. J. 2018, 51, 1702146. [Google Scholar] [CrossRef] [Green Version]
  121. Schols, A.M.; Soeters, P.B.; Dingemans, A.M.; Mostert, R.; Frantzen, P.J.; Wouters, E.F. Prevalence and characteristics of nutritional depletion in patients with stable COPD eligible for pulmonary rehabilitation. Am. Rev. Respir. Dis. 1993, 147, 1151–1156. [Google Scholar] [CrossRef]
  122. Schols, A.M.; Ferreira, I.M.; Franssen, F.M.; Gosker, H.R.; Janssens, W.; Muscaritoli, M.; Pison, C.; Rutten-van Mölken, M.; Slinde, F.; Steiner, M.C.; et al. Nutritional assessment and therapy in COPD: A European Respiratory Society statement. Eur. Respir. J. 2014, 44, 1504–1520. [Google Scholar] [CrossRef]
  123. Schols, A.M.; Slangen, J.; Volovics, L.; Wouters, E.F. Weight loss is a reversible factor in the prognosis of chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 1998, 157, 1791–1797. [Google Scholar] [CrossRef] [PubMed]
  124. Landbo, C.; Prescott, E.; Lange, P.; Vestbo, J.; Almdal, T.P. Prognostic value of nutritional status in chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 1999, 160, 1856–1861. [Google Scholar] [CrossRef] [PubMed]
  125. Ji, Z.; de Miguel-Díez, J.; Castro-Riera, C.R.; Bellón-Cano, J.M.; Gallo-González, V.; Girón-Matute, W.I.; Jiménez-García, R.; López-de Andrés, A.; Moya-Álvarez, V.; Puente-Maestu, L.; et al. Differences in the outcome of patients with COPD according to body mass index. J. Clin. Med. 2020, 9, 710. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Benson, V.S.; Müllerová, H.; Vestbo, J.; Wedzicha, J.A.; Patel, A.; Hurst, J.R. Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) Investigators. Associations between gastro-oesophageal reflux, its management and exacerbations of chronic obstructive pulmonary disease. Respir. Med. 2015, 109, 1147–1154. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  127. Eryuksel, E.; Dogan, M.; Olgun, S.; Kocak, I.; Celikel, T. Incidence and treatment results of laryngopharyngeal reflux in chronic obstructive pulmonary disease. Eur. Arch. Otorhinolaryngol. 2009, 266, 1267–1271. [Google Scholar] [CrossRef]
  128. Mokhlesi, B.; Morris, A.L.; Huang, C.F.; Curcio, A.J.; Barrett, T.A.; Kamp, D.W. Increased prevalence of gastroesophageal reflux symptoms in patients with COPD. Chest 2001, 119, 1043–1048. [Google Scholar] [CrossRef] [Green Version]
  129. Hurst, J.R.; Vestbo, J.; Anzueto, A.; Locantore, N.; Müllerova, H.; Tal-Singer, R.; Miller, B.; Lomas, D.A.; Agusti, A.; Macnee, W.; et al. Susceptibility to exacerbation in chronic obstructive pulmonary disease. N. Engl. J. Med. 2010, 363, 1128–1138. [Google Scholar] [CrossRef] [Green Version]
  130. Terada, K.; Muro, S.; Sato, S.; Ohara, T.; Haruna, A.; Marumo, S.; Kinose, D.; Ogawa, E.; Hoshino, Y.; Niimi, A.; et al. Impact of gastro-oesophageal reflux disease symptoms on COPD exacerbation. Thorax 2008, 63, 951–955. [Google Scholar] [CrossRef] [Green Version]
  131. Martinez, C.H.; Okajima, Y.; Murray, S.; Washko, G.R.; Martinez, F.J.; Silverman, E.K.; Lee, J.H.; Regan, E.A.; Crapo, J.D.; Hatabu, H.; et al. COPDGene Investigators. Impact of self-reported gastroesophageal reflux disease in subjects from COPDGene cohort. Respir. Res. 2014, 15, 62. [Google Scholar] [CrossRef] [Green Version]
  132. Cuttitta, G.; Cibella, F.; Visconti, A.; Scichilone, N.; Bellia, V.; Bonsignore, G. Spontaneous gastroesophageal reflux and airway patency during the night in adult asthmatics. Am. J. Respir. Crit. Care Med. 2000, 161, 177–181. [Google Scholar] [CrossRef]
  133. Terada, K.; Muro, S.; Ohara, T.; Kudo, M.; Ogawa, E.; Hoshino, Y.; Hirai, T.; Niimi, A.; Chin, K.; Mishima, M. Abnormal swallowing reflex and COPD exacerbations. Chest 2010, 137, 326–332. [Google Scholar] [CrossRef] [PubMed]
  134. Gadel, A.A.; Mostafa, M.; Younis, A.; Haleem, M. Esophageal motility pattern and gastro-esophageal reflux in chronic obstructive pulmonary disease. Hepato-Gastroenterol. 2012, 59, 2498–2502. [Google Scholar]
  135. Sasaki, T.; Nakayama, K.; Yasuda, H.; Yoshida, M.; Asamura, T.; Ohrui, T.; Arai, H.; Araya, J.; Kuwano, K.; Yamaya, M. A randomized, single-blind study of lansoprazole for the prevention of exacerbations of chronic obstructive pulmonary disease in older patients. J. Am. Geriatr. Soc. 2009, 57, 1453–1457. [Google Scholar] [CrossRef] [PubMed]
  136. Baumeler, L.; Papakonstantinou, E.; Milenkovic, B.; Lacoma, A.; Louis, R.; Aerts, J.G.; Welte, T.; Kostikas, K.; Blasi, F.; Boersma, W.; et al. Therapy with proton-pump inhibitors for gastroesophageal reflux disease does not reduce the risk for severe exacerbations in COPD. Respirology 2016, 21, 883–890. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  137. Hanania, N.A.; Müllerova, H.; Locantore, N.W.; Vestbo, J.; Watkins, M.L.; Wouters, E.F.M.; Rennard, S.I.; Sharafkhaneh, A. Determinants of depression in the ECLIPSE chronic obstructive pulmonary disease cohort. Am. J. Respir. Crit. Care Med. 2011, 183, 604–611. [Google Scholar] [CrossRef]
  138. Panagioti, M.; Scott, C.; Blakemore, A.; Coventry, P.A. Overview of the prevalence, impact, and management of depression and anxiety in chronic obstructive pulmonary disease. Int. J. Chron. Obstruct. Pulmon. Dis. 2014, 9, 1289–1306. [Google Scholar] [PubMed] [Green Version]
  139. Matte, D.L.; Pizzichini, M.M.; Hoepers, A.T.; Diaz, A.P.; Karloh, M.; Dias, M.; Pizzichini, E. Prevalence of depression in COPD: A systematic review and meta-analysis of controlled studies. Respir. Med. 2016, 117, 154–161. [Google Scholar] [CrossRef] [PubMed]
  140. Singh, G.; Zhang, W.; Kuo, Y.F.; Sharma, G. Association of psychological disorders with 30-Day readmission rates in patients with COPD. Chest 2016, 149, 905–915. [Google Scholar] [CrossRef] [Green Version]
  141. Ng, T.P.; Niti, M.; Tan, W.C.; Cao, Z.; Ong, K.C.; Eng, P. Depressive symptoms and chronic obstructive pulmonary disease: Effect on mortality, hospital readmission, symptom burden, functional status, and quality of life. Arch. Intern. Med. 2007, 167, 60–67. [Google Scholar] [CrossRef]
  142. Hilmarsen, C.W.; Wilke, S.; Engan, H.; Spruit, M.A.; Rodenburg, J.; Janssen, D.J.A.; Steinshamn, S.; Jones, P.W.; Wouters, E.F.M.; Oldervoll, L.; et al. Impact of symptoms of anxiety and depression on COPD Assessment Test scores. Eur. Respir. J. 2014, 43, 898–900. [Google Scholar] [CrossRef]
  143. Gordon, C.S.; Waller, J.W.; Cook, R.M.; Cavalera, S.L.; Lim, W.T.; Osadnik, C.R. Effect of pulmonary rehabilitation on symptoms of anxiety and depression in COPD: A systematic review and meta-analysis. Chest 2019, 156, 80–91. [Google Scholar] [CrossRef] [PubMed]
  144. Pollok, J.; van Agteren, J.E.; Carson, C.K.V. Pharmacological interventions for the treatment of depression in chronic obstructive pulmonary disease. Cochrane Database Syst. Rev. 2018, 12, CD012346. [Google Scholar] [CrossRef] [PubMed]
  145. Maltais, F.; Decramer, M.; Casaburi, R.; Barreiro, E.; Burelle, Y.; Debigare, R.; Dekhuijzen, P.N.; Franssen, F.; Gayan-Ramirez, G.; Gea, J.; et al. An official American Thoracic Society/European Respiratory Society statement: Update on limb muscle dysfunction in chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 2014, 189, e15–e62. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Jones, S.E.; Maddocks, M.; Kon, S.S.; Canavan, J.L.; Nolan, C.M.; Clark, A.L.; Polkey, M.I.; Man, W.D. Sarcopenia in COPD: Prevalence, clinical correlates and response to pulmonary rehabilitation. Thorax 2015, 70, 213–218. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  147. Byun, M.K.; Cho, E.N.; Chang, J.; Ahn, C.M.; Kim, H.J. Sarcopenia correlates with systemic inflammation in COPD. Int. J. Chron. Obstruct. Pulmon. Dis. 2017, 12, 669–675. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  148. Cruz-Jentoft, A.J.; Bahat, G.; Bauer, J.; Boirie, Y.; Bruyere, O.; Cederholm, T.; Cooper, C.; Landi, F.; Rolland, Y.; Sayer, A.A.; et al. Sarcopenia: Revised European consensus on definition and diagnosis. Age Ageing 2019, 48, 16–31. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  149. Cruz-Jentoft, A.J.; Baeyens, J.P.; Bauer, J.M.; Boirie, Y.; Cederholm, T.; Landi, F.; Martin, F.C.; Michel, J.P.; Rolland, Y.; Schneider, S.M.; et al. Sarcopenia: European consensus on definition and diagnosis: Report of the European working group on sarcopenia in older people. Age Ageing 2010, 39, 412–423. [Google Scholar] [CrossRef] [Green Version]
  150. Suetta, C.; Magnusson, S.P.; Beyer, N.; Kjaer, M. Effect of strength training on muscle function in elderly hospitalized patients. Scand. J. Med. Sci. Sports 2007, 17, 464–472. [Google Scholar] [CrossRef]
  151. Maltais, F.; Simard, A.A.; Simard, C.; Jobin, J.; Desgagnés, P.; LeBlanc, P. Oxidative capacity of the skeletal muscle and lactic acid kinetics during exercise in normal subjects and in patients with COPD. Am. J. Respir. Crit. Care Med. 1996, 153, 288–293. [Google Scholar] [CrossRef]
  152. Matsunaga, K. Oxidative stress and respiratory muscle. In Studies on Respiratory Disorders, Oxidative Stress in Applied Basic ReseArch and Clinical Practice; Springer Humana Press: New York, NY, USA, 2014. [Google Scholar]
  153. Cruz-Jentoft, A.J.; Sayer, A.A. Sarcopenia. Lancet 2019, 393, 2636–2646. [Google Scholar] [CrossRef]
  154. Biolo, G.; Cederholm, T.; Muscaritoli, M. Muscle contractile and metabolic dysfunction is a common feature of sarcopenia of aging and chronic diseases: From sarcopenic obesity to cachexia. Clin. Nutr. 2014, 33, 737–748. [Google Scholar] [CrossRef] [PubMed]
  155. Fried, L.P.; Ferrucci, L.; Darer, J.; Williamson, J.D.; Anderson, G. Untangling the concepts of disability, frailty, and comorbidity: Implications for improved targeting and care. J. Gerontol. A Biol. Sci. Med. Sci. 2004, 59, 255–263. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  156. Marengoni, A.; Vetrano, D.L.; Manes-Gravina, E.; Bernabei, R.; Onder, G.; Palmer, K. The relationship between COPD and frailty: A systematic review and meta-analysis of observational Studies. Chest 2018, 154, 21–40. [Google Scholar] [CrossRef]
  157. Park, S.K.; Richardson, C.R.; Holleman, R.G.; Larson, J.L. Frailty in people with COPD, using the National Health and Nutrition Evaluation Survey dataset (2003–2006). Heart Lung 2013, 42, 163–170. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  158. Vaz Fragoso, C.A.; Enright, P.L.; McAvay, G.; Van Ness, P.H.; Gill, T.M. Frailty and respiratory impairment in older persons. Am. J. Med. 2012, 125, 79–86. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  159. Bernabeu-Mora, R.; García-Guillamon, G.; Valera-Novella, E.; Gimenez-Gimenez, L.M.; Escolar-Reina, P.; Medina-Mirapeix, F. Frailty is a predictive factor of readmission within 90 days of hospitalization for acute exacerbations of chronic obstructive pulmonary disease: A longitudinal study. Ther. Adv Respir. Dis. 2017, 11, 383–392. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  160. Gill, T.M.; Gahbauer, E.A.; Allore, H.G.; Han, L. Transitions between frailty states among community-living older persons. Arch. Intern. Med. 2006, 166, 418–423. [Google Scholar] [CrossRef]
  161. Maddocks, M.; Kon, S.S.; Canavan, J.L.; Jones, S.E.; Nolan, C.M.; Labey, A.; Polkey, M.I.; Man, W.D. Physical frailty and pulmonary rehabilitation in COPD: A prospective cohort study. Thorax 2016, 71, 988–995. [Google Scholar] [CrossRef] [Green Version]
  162. Bernabeu-Mora, R.; Oliveira-Sousa, S.L.; Sanchez-Martinez, M.P.; Garcia-Vidal, J.A.; Gacto-Sanchez, M.; Medina-Mirapeix, F. Frailty transitions and associated clinical outcomes in patients with stable COPD: A longitudinal study. PLoS ONE 2020, 15, e0230116. [Google Scholar] [CrossRef]
  163. Donaire-Gonzalez, D.; Gimeno-Santos, E.; Balcells, E.; de Batlle, J.; Ramon, M.A.; Rodriguez, E.; Farrero, E.; Benet, M.; Guerra, S.; Sauleda, J.; et al. Benefits of physical activity on COPD hospitalization depend on intensity. Eur. Respir. J. 2015, 46, 1281–1289. [Google Scholar] [CrossRef]
  164. Pitta, F.; Troosters, T.; Spruit, M.A.; Probst, V.S.; Decramer, M.; Gosselink, R. Characteristics of physical activities in daily life in chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 2005, 171, 972–977. [Google Scholar] [CrossRef] [PubMed]
  165. Hayata, A.; Minakata, Y.; Matsunaga, K.; Nakanishi, M.; Yamamoto, N. Differences in physical activity according to mMRC grade in patients with COPD. Int. J. Chron. Obstruct. Pulmon. Dis. 2016, 11, 2203–2208. [Google Scholar] [PubMed] [Green Version]
  166. Sugino, A.; Minakata, Y.; Kanda, M.; Akamatsu, K.; Koarai, A.; Hirano, T.; Sugiura, H.; Matsunaga, K.; Ichinose, M. Validation of a compact motion sensor for the measurement of physical activity in patients with chronic obstructive pulmonary disease. Respiration 2012, 83, 300–307. [Google Scholar] [CrossRef] [PubMed]
  167. Minakata, Y.; Motegi, T.; Ueki, J.; Gon, Y.; Nakamura, S.; Anzai, T.; Hirata, K.; Ichinose, M. Effect of tiotropium/olodaterol on sedentary and active time in patients with COPD: Post hoc analysis of the VESUTO study. Int. J. Chron. Obstruct. Pulmon. Dis. 2019, 14, 1789–1801. [Google Scholar] [CrossRef] [Green Version]
  168. Troosters, T.; Maltais, F.; Leidy, N.; Lavoie, K.L.; Sedeno, M.; Janssens, W.; Garcia-Aymerich, J.; Erzen, D.; De Sousa, D.; Korducki, L.; et al. Effect of Bronchodilation, Exercise Training, and Behavior Modification on Symptoms and Physical Activity in Chronic Obstructive Pulmonary Disease. Am. J. Respir. Crit. Care Med. 2018, 198, 1021–1032. [Google Scholar] [CrossRef]
  169. Hirano, T.; Matsunaga, K.; Hamada, K.; Uehara, S.; Suetake, R.; Yamaji, Y.; Oishi, K.; Asami, M.; Edakuni, N.; Ogawa, H.; et al. Combination of assist use of short-acting beta-2 agonists inhalation and guidance based on patient-specific restrictions in daily behavior: Impact on physical activity of Japanese patients with chronic obstructive pulmonary disease. Respir. Investig. 2019, 57, 133–139. [Google Scholar] [CrossRef]
  170. Verghese, J.; Wang, C.; Lipton, R.B.; Holtzer, R. Motoric cognitive risk syndrome and the risk of dementia. J. Gerontol. A Biol. Sci. Med. Sci. 2013, 68, 412–418. [Google Scholar] [CrossRef] [Green Version]
  171. Semba, R.D.; Tian, Q.; Carlson, M.C.; Xue, Q.; Ferrucci, L. Motoric cognitive risk syndrome: Integration of two early harbingers of dementia in older adults. Aging Res. Rev. 2020, 58, 101022. [Google Scholar] [CrossRef]
  172. Hirano, T.; Doi, K.; Matsunaga, K.; Takahashi, S.; Donishi, T.; Suga, K.; Oishi, K.; Yasuda, K.; Mimura, Y.; Harada, M.; et al. A Novel Role of Growth Differentiation Factor (GDF)-15 in Overlap with Sedentary Lifestyle and Cognitive Risk in COPD. J. Clin. Med. 2020, 9, 2737. [Google Scholar] [CrossRef]
  173. Matsunaga, K.; Kuwahira, I.; Hanaoka, M.; Saito, J.; Tsuburai, T.; Fukunaga, K.; Matsumoto, H.; Sugiura, H.; Ichinose, M. An official JRS statement: The principles of fractional exhaled nitric oxide (FeNO) measurement and interpretation of the results in clinical practice. Respir. Investig. 2020. [Google Scholar] [CrossRef]
  174. Plaza, V.; Alvarez, F.; Calle, M.; Casanova, C.; Cosio, B.G.; Lopez-Vina, A.; De Llano, L.P.; Quirce, S.; Roman-Rodriguez, M.; Soler-Cataluna, J.J.; et al. Consensus on the Asthma–COPD Overlap (ACO) between the Spanish COPD Guidelines (GesEPOC) and the Spanish Guidelines on the Management of Asthma (GEMA). Arch. Bronchoneumol. 2017, 53, 443–449. [Google Scholar] [CrossRef]
Figure 1. The risk factors and triggers for COPD patients’ unmet needs can be divided into two categories; one is the usual clinical characteristics of COPD patients and the other is the specific clinical characteristics of patients with comorbid conditions. Treatable conditions that are not recognized as therapeutic targets may be latent in patients with COPD. Abbreviations: COPD, chronic obstructive pulmonary disease.
Figure 1. The risk factors and triggers for COPD patients’ unmet needs can be divided into two categories; one is the usual clinical characteristics of COPD patients and the other is the specific clinical characteristics of patients with comorbid conditions. Treatable conditions that are not recognized as therapeutic targets may be latent in patients with COPD. Abbreviations: COPD, chronic obstructive pulmonary disease.
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Figure 2. Changes in the mean values (95% CI) of FEV1 (A) and CAT (B) by 12 weeks of add-on therapy with inhaled corticosteroids, stratified based on the criteria for type 2 inflammations in Japanese guidelines for ACO. Abbreviations: FeNO, exhaled nitric oxide fraction; FEV1, forced expiratory volume in 1s; CAT, chronic obstructive lung disease assessment test; CI, confidence interval; ACO, asthma–COPD overlap.
Figure 2. Changes in the mean values (95% CI) of FEV1 (A) and CAT (B) by 12 weeks of add-on therapy with inhaled corticosteroids, stratified based on the criteria for type 2 inflammations in Japanese guidelines for ACO. Abbreviations: FeNO, exhaled nitric oxide fraction; FEV1, forced expiratory volume in 1s; CAT, chronic obstructive lung disease assessment test; CI, confidence interval; ACO, asthma–COPD overlap.
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Figure 3. The schematic view of the vicious cycle of frailty/sedentary lifestyle in patients with COPD and potential approaches to attenuate the negative impact of this cycle.
Figure 3. The schematic view of the vicious cycle of frailty/sedentary lifestyle in patients with COPD and potential approaches to attenuate the negative impact of this cycle.
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Table 1. Pharmacological properties of β-blockers.
Table 1. Pharmacological properties of β-blockers.
MetoprololCarvedilolBisoprolol
Daily oral dose *12.5–200 mg, QD3.125–100 mg, BID1.25–10 mg, QD
Plasma t1/23–7 h6–10 h10–12 h
Selectivity ratio (β1:β2)20:1NA75:1
α-antagonismNoYesNo
Lipid solubilityHighModerateModerate
Bioavailability50%30%>90%
ClearanceLiverLiverLiver/Kidney
MetabolismCYP2D6CYP2D6CYP2D6
* Dosage for chronic heart failure. Abbreviations: QD, once a day; BID, twice a day; t1/2, half-time; NA, not available; CYP2D6, cytochrome P450 2D6.

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MDPI and ACS Style

Matsunaga, K.; Harada, M.; Suizu, J.; Oishi, K.; Asami-Noyama, M.; Hirano, T. Comorbid Conditions in Chronic Obstructive Pulmonary Disease: Potential Therapeutic Targets for Unmet Needs. J. Clin. Med. 2020, 9, 3078. https://doi.org/10.3390/jcm9103078

AMA Style

Matsunaga K, Harada M, Suizu J, Oishi K, Asami-Noyama M, Hirano T. Comorbid Conditions in Chronic Obstructive Pulmonary Disease: Potential Therapeutic Targets for Unmet Needs. Journal of Clinical Medicine. 2020; 9(10):3078. https://doi.org/10.3390/jcm9103078

Chicago/Turabian Style

Matsunaga, Kazuto, Misa Harada, Junki Suizu, Keiji Oishi, Maki Asami-Noyama, and Tsunahiko Hirano. 2020. "Comorbid Conditions in Chronic Obstructive Pulmonary Disease: Potential Therapeutic Targets for Unmet Needs" Journal of Clinical Medicine 9, no. 10: 3078. https://doi.org/10.3390/jcm9103078

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