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REVIEW article

Front. Med., 26 January 2024
Sec. Pulmonary Medicine

Exploring the association between asthma and chronic comorbidities: impact on clinical outcomes

Aditya Sri Listyoko,
Aditya Sri Listyoko1,2*Ryota OkazakiRyota Okazaki1Tomoya HaradaTomoya Harada1Genki InuiGenki Inui1Akira YamasakiAkira Yamasaki1
  • 1Division of Respiratory Medicine and Rheumatology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Yonago, Japan
  • 2Pulmonology and Respiratory Medicine Department, Faculty of Medicine, Brawijaya University-Dr. Saiful Anwar General Hospital, Malang, Indonesia

Asthma remains a significant global health challenge. While both the incidence and mortality rates have shown a decline, older individuals with asthma exhibit not just more severe symptoms but also demonstrate an elevated mortality rate. This phenomenon could be attributed to the presence of chronic comorbidities that exert an influence on clinical outcomes among adult patients with asthma. This review aims to present various aspects of asthma comprehensively, including the prevalence, incidence, mortality rates, and causes of death in adult patients with asthma. Additionally, this review delves into the impact of chronic comorbidities that contribute to the morbidity and mortality of patients with asthma on a global scale, encompassing conditions such as chronic kidney disease, diabetes mellitus, lung cancer, obesity, and cardiovascular disease, concerning asthma. Furthermore, the manuscript reviews the distinctions between asthma and asthma chronic obstructive pulmonary disease overlap and adds perspective on asthma as an occupational lung disease. Thus, this review aims to enhance clinicians’ awareness of the significance of chronic comorbidities in the management of patients with asthma. It seeks to provide insights that contribute to a more comprehensive approach to managing patients with asthma who also have comorbid conditions.

1 Introduction

Asthma is a chronic inflammatory disease of the airways with variable expiratory airflow limitation and diverse respiratory symptoms, remains a prevalent global health concern. Its spectrum of symptoms includes coughing, chest tightness, wheezing, and breathlessness, often triggered by an array of environmental factors, such as allergens, pollution, infections, weather changes, and emotional stressors (1). The primary objective of asthma management is to achieve well-controlled asthma based on symptom score, mitigate the risk of exacerbations and mortality, minimize the treatment side effects, particularly high-dose inhaled corticosteroids or oral corticosteroids, as well as preventing the onset of persistent airflow limitation that may lead to poor clinical outcomes (1, 2).

Numerous factors could have an impact on the clinical course of asthma and its management. Inadequate control of asthma (3, 4), short-acting β-agonist overuse (5, 6), improper use of inhaler devices (7), a history of severe exacerbations (810), and intrinsic conditions, such as reduced lung function and elevated blood eosinophil levels (11, 12) are among the factors that heighten the risk of future exacerbations and worsen clinical outcomes. Comorbidities such as higher body mass index (BMI) and obesity (1315), obstructive sleep apnea (16, 17), food allergy (18, 19), allergic rhinitis (20), chronic rhinosinusitis with or without nasal polyposis (15, 2123), psychological problems (21, 24), gastroesophageal reflux disease (GERD) (15, 25, 26), and also exert a significant influence on asthma-related outcomes. Concurrently, the presence of chronic diseases requiring regular medical treatment and evaluation, such as chronic kidney disease (CKD), diabetes mellitus (DM), lung cancer, obesity, cardiovascular disease (CVD), and asthma–chronic obstructive pulmonary disease (COPD) overlap (ACO) may impact asthma-related management, patients’ prognosis, quality of life, and contribute to asthma-related outcomes.

Chronic airway inflammation, characterized by variable expiratory airflow limitation, is a hallmark of the pathophysiological condition in asthma. Various substances, including allergens, viruses, bacteria, fungi, pollutants, and other harmful agents, can impact the epithelial airway—serving as the initial line of defense—initiating a cascade of inflammation (27). This cascade begins with the production of alarmins, including thymic stromal lymphopoietin (TSLP), IL-25, and IL-33 (2830). In the subsequent phase, antigen-presenting cells (APCs) induce the differentiation of naïve T-cells into Th2 cells. Additionally, Th2 cells and innate lymphoid cells-2 (ILC-2) play a role in inducing eosinophilic inflammation through the release of IL-5 and IL-13 (31, 32). Eosinophilic products such as eosinophil cationic protein (ECP), eosinophil peroxidase (EPO), eosinophil-derived neurotoxin (EDN), and major basic protein (MBP) prove detrimental to the airways, triggering a cascade of inflammation, and numerous studies have observed an increase in the bronchial and serum levels of asthmatic patients (3338). Th2 cells, via IL-4 and IL-33, induce the production of IgE by B-cells, which binds to mast cells, prompting their degranulation and releasing products such as prostaglandin-2 (PGD2), leukotrienes, and histamine (3942). On the other hand, the differentiation of naïve T-cells into Th1 and Th17 primarily induces neutrophilic inflammation, producing non-Th2 cytokines like IL-6, IL-8, IL-17, IFN-γ, and TNF-α (4346). This, in turn, triggers the production of neutrophilic products such as neutrophil extracellular traps (NETs), neutrophil elastase (NE), and myeloperoxidase (MPO) (4750). Emerging evidence underscores the role of systemic inflammation, marked by elevated systemic inflammatory markers, in a subgroup of patients with asthma (51, 52). Systemic inflammation is more pronounced in neutrophilic inflammation, as evidenced by increased systemic inflammation markers such as CRP and IL-6 when compared to non-neutrophilic asthma (53). This systemic inflammation, if sustained, might foster the development of asthma-related comorbidities. However, the underlying mechanisms remain elusive, necessitating both laboratory and clinical research to unravel the intricate relationship between asthma and its associated chronic comorbidities.

Clinicians must recognize that achieving the goals of asthma management in patients who have concurrent chronic medical conditions necessitates a comprehensive approach that extends beyond solely addressing asthma-related treatment strategies. In these cases, the clinical focus should encompass effective management of both the primary asthma condition and the associated comorbidities, which can collectively impact disease progression, symptom severity, and overall patient well-being. This integrated approach acknowledges the intricate interplay between asthma and chronic comorbidities, thereby paving the way for more comprehensive and effective patient management strategies. Here, we review various aspects of asthma, particularly intending to understand the impact of various comorbidities on patients with asthma, to provide clinicians with insights that may facilitate an integrated approach to the management of asthma in patients with comorbid conditions.

2 Asthma prevalence, incidence, and mortality rate

Asthma remains a major global health challenge, affecting a substantial number of people globally. According to a systematic analysis of 220 population-based studies, the estimated prevalence of asthma cases and related symptoms (evaluated by reported symptoms), including reported wheezing (current and history of wheezing) was 754.6 million (95% confidence interval [CI]: 599.7–943.4), 1181.3 million (95%CI: 938.0–1471.0), respectively where current asthma and history of asthma was 357.4 million (95%CI: 213.0–590.8), 645.2 million (95%CI: 513.1–806.2), respectively (54). Concurrently, the Global Burden of Disease study in 2019 reported a positive shift with declining asthma incidence, reducing from 601.20 per 100,000 to 477.92 per 100,000 between 1990 and 2019, along with decreased asthma mortality, down from 8.60 per 100,000 to 5.96 per 100,000. However, the study also underscored age-specific vulnerabilities, with children exhibiting a high relative risk (RR) of incidence, whereas older individuals had a heightened relative risk of mortality (55).

Although the incidence of asthma appears to be declining, asthma’s enduring impact persists, particularly among older individuals, who experience more severe manifestations and higher mortality rates than children. Furthermore, an alarming observation revealed that children and young adults with asthma continue to encounter a heightened risk of mortality, regardless of underlying conditions that limit life expectancy or the socioeconomic status of parents, with an adjusted hazard rate of 1.46 (95%CI: 1.33–1.62) for all-cause mortality (56). Additional evidence from cohort studies unveiled a standardized mortality ratio (SMR) of 1.24 (95%CI: 1.11–1.37, p < 0.001) for all-cause mortality in adult patients with asthma (aged ≥15 years) (5). Furthermore, the impact of asthma extends beyond mortality, imposing a substantial disability burden: it ranks 23rd among diseases when considering its impact on disability, as measured by disability-adjusted life years (DALYs) (57).

3 Cause of death in adult asthma patients

The specific cause of death among patients with asthma (Table 1) ranges widely and includes malignant diseases including lung cancer, benign conditions including COPD, CVD, respiratory tract infections (pneumonia and influenza), as well as other causes such as diseases of the musculoskeletal system and connective tissue, diseases of the digestive system, diseases of the genitourinary system, endocrine and metabolic diseases and immunity disorders, diseases of the skin and subcutaneous tissue, external causes of injury and poisoning, complication of pregnancy and other diseases (5863). Through a retrospective analysis, asthma was identified as a notable risk factor for increased all-cause mortality (56, 64). Among patients with asthma, malignant disease has become the primary cause of death in individuals with asthma, with pneumonia and cardiovascular disease following closely behind in terms of mortality. Within the category of malignant diseases, lung cancer exhibited the highest mortality rate, followed by hepatobiliary, gastrointestinal, and gynecological cancers (60). In another study, the elevated mortality risk among adults with asthma was predominantly attributed to the emergence of COPD and lung cancer, with hazard ratios (HR) of 12.0 (95%CI: 4.18–34.2, p < 0.001) and 2.33 (95%CI: 1.25–4.42, p = 0.008), respectively (61).

Table 1
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Table 1. Specific causes of death in asthma patients.

Interestingly, a prospective cohort study conducted among a population revealed that ongoing asthma raised the risk of overall mortality, chronic lower respiratory disease, and CVD mortality in adult asthma patients, and this trend was not observed in individuals with a history of asthma (63). In addition, this study identified ongoing asthma as a significant risk factor for higher mortality in patients with chronic lower respiratory system diseases (HR 3.17; 95%CI: 1.96–5.14) and found an association between current asthma and an increased risk of CVD-related mortality (HR 1.41; 95%CI: 1.08–1.85) (63). Furthermore, asthma exacerbations were shown to contribute to asthma-related mortality, with data analysis from the Nationwide Inpatient Sample (NIS) revealing an overall hospital mortality rate of 0.5% in patients aged >5 years of age (65).

4 Comorbidities act as factors that increase the risk of asthma exacerbation

“Comorbidity” refers to the coexistence of additional diseases alongside the index disease within the same individual, while multimorbidity denotes the presence of multiple diseases within a single individual (66). The assessment of comorbidities holds significant relevance to the management of asthma. Certain comorbidities have been firmly established as asthma exacerbation risk factors. Furthermore, the investigation of comorbidities becomes integral to the difficult-to-treat and severe asthma management, wherein patients continue to experience exacerbations and suboptimal symptom control despite receiving optimal treatment (1).

Asthma-related comorbidities can manifest in diverse systems and organs throughout the body. This broad spectrum of associated conditions underscores the systemic nature of asthma. It goes beyond being just a chronic inflammatory airway disease, extending into a systemic immunological condition, with the potential to impact overall health. These comorbidities can range from cardiovascular issues and metabolic disorders to respiratory complications and psychological health challenges (Figure 1). Numerous comorbidities have been thoroughly evaluated and identified as significant factors that increase the risk of exacerbations. For instance, a prospective study discovered a correlation between obesity and a heightened likelihood of occurrences such as short-acting beta-agonist (SABA) canister dispensation, oral corticosteroid (OCS) dispensation, and emergency room (ER) visits or hospitalizations (67). Individuals with obesity and asthma exhibit heightened exacerbation severity, as evidenced by an elevated risk of requiring noninvasive positive-pressure ventilation and mechanical ventilator support (68). Other established comorbidities that elevate exacerbation risk include chronic sinusitis and psychological disorders. Psychological disorders, including depression, anxiety, as well as severe chronic sinus disease, have been evaluated as independent factors contributing to frequent exacerbations (21, 69, 70).

Figure 1
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Figure 1. Asthma-related comorbidities have been reported in guidelines or literature.

GERD, food allergies, and pregnancy are also recognized as having notable impacts on future asthma exacerbations. Patients with asthma with coexisting GERD often experience worse symptom control than those without GERD, which in turn is associated with exacerbation frequency and the need for OCS treatment (25, 26). An insightful cross-sectional study highlighted that patients with multiple food allergies face a higher likelihood of asthma-related hospitalizations, ER visits, and oral steroid use (71). Pregnant women with asthma are likewise susceptible to exacerbations, with a prospective study revealing that 36% of pregnant subjects with asthma experienced severe exacerbations, particularly those with severe asthma (72). In this population, having a history of exacerbations and using medium to high doses of inhaled corticosteroids (ICS) are identified as risk factors for severe exacerbations (73).

Importantly, chronic conditions may evolve and contribute to the emergence of new asthma-related comorbidities, subsequently influencing clinical outcomes, including exacerbations. Addressing these comorbidities as part of asthma management is crucial for achieving well-controlled asthma and minimizing the risk of future exacerbations.

5 The impact of chronic comorbidities on asthma clinical outcomes

Chronic comorbidities exert a profound influence on the global disease burden. These conditions, characterized by their persistence and concurrent presence with primary diseases, have garnered increasing attention due to their substantial impact on public health, healthcare systems, and the overall well-being of individuals. As populations age and lifestyles evolve, the prevalence of chronic comorbidities continues to rise, presenting multifaceted challenges to healthcare providers. Asthma, in addition to being a chronic respiratory condition in its own right, is closely associated with several chronic comorbidities that can significantly impact its clinical outcomes. Below, we delve into a spectrum of common chronic comorbidities that exert a significant influence on both morbidity and mortality within the general population and highlight their relationship to asthma and its clinical outcomes (Table 2).

Table 2
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Table 2. The relationship between asthma and chronic comorbidities and the impact on clinical outcome.

5.1 Asthma and CKD

CKD represents a substantial global health concern, impacting millions of individuals worldwide. Epidemiological data from 2017 reported a staggering 697.5 million cases of all-stage CKD, with a worldwide prevalence of 9.1%, and 1.2 million CKD-related deaths (95% uncertainty interval: 649.2–752.0) (95). Notably, emerging evidence has linked asthma with CKD, highlighting a bidirectional relationship between asthma and CKD. Individuals diagnosed with asthma have an increased probability of developing CKD, while CKD patients are more prone to asthma development (74, 75, 96, 97). Furthermore, patients with well-controlled asthma displayed a higher glomerular filtration rate than those with uncontrolled asthma, and individuals with severe asthma face an elevated risk of developing CKD than do those with mild/moderate asthma or without asthma, suggesting a potential link between asthma severity and renal function (75, 98).

The impact of asthma on CKD development may be influenced by various other comorbidities prevalent in patients with asthma. High blood pressure, diabetes, obesity, abnormal blood lipid levels, and advancing age are well-known factors that contribute to CKD in the general population (99102). Additionally, the frequent use of systemic corticosteroids, which is common in asthma treatment, particularly in difficult-to-treat and severe asthma, has been associated with adverse effects, including hypertension and diabetes, which may contribute to CKD risk (103105). Surprisingly, some studies have suggested a protective effect of corticosteroids against CKD development (74, 106), possibly attributable to their impact on reducing proteinuria and preserving renal function (107, 108).

Asthma is recognized as a chronic airway inflammation, driven by proinflammatory cytokines. However, mounting evidence supports the concept of systemic inflammation extending beyond the lungs in patients with asthma (109). Eosinophilic inflammation, a hallmark of classical asthma, has been linked to CKD development, as peripheral eosinophilia has been associated with a heightened likelihood of end-stage renal failure (110, 111). Another plausible hypothesis involves the link to elevated numbers of neutrophils, which have been implicated in kidney injury. Studies have indicated that individuals with severe asthma tend to have a greater proportion of neutrophils than do those with non-severe asthma (112, 113). Neutrophils have been recognized as independent risk factors for the development and progression of CKD (114, 115). This observation underscores the potential significance of neutrophilic activity in contributing to kidney complications in severe asthma cases. Furthermore, increased levels of C-reactive protein in asthma patients parallel the results observed in individuals with CKD, hinting at systemic inflammation as a potential mechanism contributing to CKD in asthma (116119).

In summary, asthma, especially in severe cases, appears to contribute to an increased risk of developing CKD. Conversely, CKD also seems to heighten the risk of developing asthma. The current literature encompassing clinical studies on the potential correlation between asthma and CKD remains limited. At present, the potential association between CKD and the severity of asthma, spanning aspects such as poor symptom control, heightened exacerbation rates, increased hospitalization occurrences, response to treatment, and mortality has not yet been conclusively proven. However, understanding the association between these conditions is crucial for effective clinical management and preventive strategies, ultimately contributing to improved patient outcomes. Additional investigation is needed to uncover the underlying connection between asthma and CKD, paving the way for novel therapeutic approaches targeting asthma-related CKD.

5.2 Asthma and DM

DM and asthma are two prevalent and chronic health conditions with significant global impact. DM, characterized by elevated blood glucose levels (120), contributes to a range of life-threatening complications, escalating healthcare expenditures, reduced quality of life, and elevated mortality rates (121, 122). Notably, low- and middle-income countries bear the highest burden of type 2 DM (122). Epidemiological estimates reveal a substantial rise in DM prevalence, with projections suggesting an increase from 9.3% in 2019 to 10.9% by 2045, affecting approximately 700 million individuals (123). Concurrently, asthma has demonstrated a significant association with DM, with the prevalence of DM being more elevated among individuals with asthma compared to the general population (124).

Individuals with DM face an increased risk of developing asthma, encompassing both type 1 and type 2 DM, revealing a potential bidirectional relationship between these chronic conditions (76, 77, 79). Furthermore, individuals who have both asthma and DM demonstrate a heightened likelihood of ER visits and hospitalizations, suggesting a role for poor glycemic control in asthma severity (77, 92). Notably, severe asthma has been associated with a higher likelihood of developing type 2 DM, emphasizing the importance of considering asthma severity in assessing DM risk (98). Intriguingly, there appears to be an increased risk of children developing asthma in association with gestational diabetes. However, the precise mechanism underlying this relationship remains unclear and warrants further investigation (125). Evidence from retrospective cohort studies has demonstrated that DM is associated with a rise in overall mortality among individuals with asthma, and higher HbA1c levels in individuals with prediabetes or DM face an increased risk of asthma exacerbations and hospitalizations (78, 80, 81).

Hyperglycemia appears to be intricately linked to impaired lung function, as having a lower forced expiratory volume in 1 s (FEV1) is associated with an increased likelihood of developing DM in the future (126). Moreover, fasting plasma glucose and HbA1c levels exhibit an inverse relationship with lung function test results, indicating the potential impact of glycemic control on respiratory health (127, 128). The development of DM in individuals with asthma could be attributed to systemic corticosteroid administration (98, 106). Numerous studies have investigated the association between corticosteroid use and DM incidence, with higher doses and prolonged administration showing a positive correlation with DM risk (106, 129131). Nevertheless, certain studies have indicated that there is no notable distinction in the DM incidence between individuals using corticosteroid and non-corticosteroid treatments (132). Additionally, the likelihood of developing corticosteroid-induced DM is affected by various coexisting factors, including age, HbA1c level, and renal function (133). The development of DM is influenced by factors beyond corticosteroid action. This is highlighted by studies demonstrating increased fasting plasma glucose, impaired insulin sensitivity, worsened glucose tolerance, and an incretin effect in healthy individuals following prednisolone administration (134). However, multiple mechanisms underlie the development of corticosteroid-induced DM, encompassing corticosteroid-induced insulin resistance, increased hepatic glucose production, and direct inhibition of insulin release (135, 136).

Interestingly, emerging therapeutic investigations have demonstrated the potential benefits of employing glucagon-like peptide-1 receptor agonists and metformin to reduce asthma exacerbations in individuals who have both type 2 DM and asthma. (137139). Furthermore, systemic inflammation and pro-inflammatory cytokine expression have been suggested to play a role in the development of both DM and asthma. Individuals with obesity and type 2 DM have significantly higher matrix metalloproteinase-9 and interleukin-4 (IL-4) expression than those without these conditions. IL-4 represents a critical Th2 cytokine responsible for stimulating the production of immunoglobulin E and plays a role in the development of asthma, indicating a possible link between these conditions (140, 141).

This evidence provides critical insights into the intricate relationship between DM and asthma, encompassing prevalence, mechanisms, and potential therapeutic interventions. Conclusively, DM is associated with adverse asthma outcomes, encompassing increased asthma development, exacerbation rates, higher rates of hospitalization, and impaired lung function. It has been observed that strategic interventions involving anti-diabetic pharmacological treatments can effectively reduce the risk of exacerbations in individuals who have both asthma and diabetes. Moreover, it highlights the significance of clinician awareness regarding the use of corticosteroids in asthma management, taking into consideration the associated risk of developing DM. The exploration of common pathophysiological pathways between these conditions opens avenues for targeted and personalized treatment approaches, aiming to alleviate the burden of DM and asthma on affected individuals and healthcare systems globally. Future research should focus on deciphering the underlying mechanisms linking DM and asthma. Future research should prioritize the discovery of the fundamental mechanisms connecting DM and asthma, as well as assessing the impact of DM on the response to biologic agents in the management of severe asthma patients, to develop effective preventive strategies and optimize patient outcomes, particularly the impact of diabetes on the success of biological agent administration in severe patients with asthma.

5.3 Asthma and lung cancer

Lung cancer remains a major global health issue, responsible for a significant proportion of cancer cases and deaths worldwide. According to the Global Cancer Statistics 2020, lung cancer is the second most prevalent cancer, accounting for 11.4% of all cancer diagnoses, and it continues to be the primary contributor to cancer-related fatalities, causing an estimated 1.8 million deaths attributed to the disease. Remarkably, lung cancer is more prevalent among men, representing the most prevalent form of malignancy and the leading cause of cancer-related mortality in the male population (142).

Evidence indicates a favorable correlation between asthma and lung cancer, as numerous studies have documented a heightened incidence and an elevated likelihood of lung cancer has been observed in individuals with asthma (82, 84, 143148). Notably, active or partially controlled asthma appears to elevate the probability of developing lung cancer (149). Importantly, the association between asthma and lung cancer is more pronounced in smokers (150), suggesting an interaction between smoking and asthma in lung cancer development. Nevertheless, asthma that necessitates medical management is also autonomously associated with a notably increased prevalence of lung cancer in non-smoker individuals, highlighting the multifaceted nature of this relationship (147).

Within the context of hospitalization for lung cancer, asthma has emerged as a significant determinant, contributing to an increased mean number of hospital days per year, as compared to individuals without asthma (83). This observation underscores the potential influence of asthma on the overall healthcare burden associated with lung cancer. Additionally, a history of asthma is related to particular histological subtypes of lung cancer, with squamous cell carcinoma being more common in this population (145). However, in clinical practice, it cannot be solely relied upon to suggest the histological subtype diagnosis of lung cancer because some studies have shown an increased risk of all major lung cancer subtypes, including squamous cell carcinoma and adenocarcinoma, in both men and women with asthma (151).

The asthma control test (ACT) score, reflecting the effectiveness of asthma control, may be indicative of lung cancer progression. At the time of lung cancer diagnosis, individuals with asthma who were diagnosed with lung cancer experienced a deterioration in their symptoms as indicated by their ACT scores at the time of lung cancer diagnosis compared to the scores from the previous year. Furthermore, an improvement in ACT scores can be observed in lung cancer patients in the complete, partial response, and stable disease groups after effective lung cancer treatment, while those with progressive disease show worsened scores (152).

The majority of pharmacological treatments for asthma, including ICS, inhaled antimuscarinics, theophylline, antihistamines, and short and long-acting beta-agonists, do not appear to be associated with an increased risk of cancer in patients with asthma. Nonetheless, the use of oral corticosteroids is associated with a slight elevation in risk (146). Notably, an animal study has shown that dexamethasone may inhibit tumor cell proliferation and prevent cell cycle progression by lowering proliferating cell nuclear antigen and cyclin D1 expression, suggesting the possibility of corticosteroids playing different roles in the development of lung cancer (153).

Being diagnosed with lung cancer has been related to a higher risk of mortality in male asthma patients (58). However, the prognosis evaluated by overall survival rates for lung cancer patients, whether they have asthma or not, do not show significant differences. A study observed that the 5-year cumulative corrected survival rates for lung cancer are similar between asthma-lung cancer patients and non-asthma-lung cancer referents, at 8.4% and 9.6%, respectively (154).

Regular use of ICS may offer protection against lung cancer. A cohort study found that individuals with mild asthma who regularly used ICS had a lower lung cancer risk than those with severe asthma who did not use ICS regularly (155). This beneficial impact is also evident in individuals with COPD, wherein ICS exposure is linked to a decreased likelihood of being diagnosed with lung cancer (156). The precise mechanism underlying this protection is currently unknown but may involve ICS-mediated improvements in airway remodeling and inflammation through the regulation of matrix metalloproteinases, which are key proteins associated with tumorigenesis (157160).

Asthma should be regarded as a possible adverse reaction when administering immune checkpoint inhibitors (ICIs) to treat lung cancer. A case report documented the development of asthma symptoms in a lung cancer patient following durvalumab administration after chemoradiotherapy (161). Durvalumab-induced pneumonitis and radiation pneumonitis could potentially contribute to these symptoms (162). The precise mechanism remains unclear, but it may be related to an elevation in pro-inflammatory cytokines while undergoing concurrent chemo-radiation therapy. Radiotherapy has been demonstrated to elevate the levels of IL-6 in the bronchoalveolar lavage fluid of individuals with lung cancer (163), while changes in expression of cytokines, such as fractalkine/CX3CL1, granulocyte-monocyte colony-stimulating factor, IL-1α, interferon-γ (IFN-γ), interferon-inducible protein-10, macrophage inflammatory protein-1β, soluble CD40 ligand, and vascular endothelial growth factor (VEGF) have also been observed during various types of radiotherapy (164), providing further evidence of inflammatory processes following radiotherapy administration.

Taken together, previous research has provided evidence supporting the role of asthma in contributing to an increased incidence, hospitalization rates, and mortality associated with lung cancer. Nevertheless, additional investigations aimed at assessing the noticeable effect of lung cancer on outcomes associated with asthma, including the severity of symptom control, frequency of exacerbations, response to treatment, and mortality, are necessary. The complex relationship between asthma and lung cancer requires careful consideration in clinical practice. Understanding the interplay between these two conditions may aid in early detection, risk stratification, and tailored therapeutic approaches for patients affected by both asthma and lung cancer.

5.4 Asthma and obesity

Obesity persists as a significant global health issue, with age-standardized estimates of DALYs related to obesity reaching 1933 (95% UI: 1,277–2,640). The annual increase in obesity-related DALYs was 0.48% from 2000 to 2019, and it is projected to surge by 39.8% from 2020 to 2030 (165). Obesity and overweight also significantly affect societal expenses including annual medical care costs and the quality of life (166, 167). Additionally, excessive weight was also accountable for a rise in mortality, causing over 1,300 additional deaths daily (almost 500,000 annually) and contributing to a decrease in life expectancy (168). This underscores the escalating impact of obesity on the burden of disease, emphasizing the urgent need for comprehensive strategies to address and mitigate its consequences.

Obesity is associated with an increased incidence of asthma (85, 169, 170). Interestingly, individuals with asthma are more prone to developing obesity when compared to those without asthma. More specifically, adults with asthma, particularly those who are non-atopic, have a longer duration of the disease or are using oral corticosteroids (171). The bidirectional relationship is evident not only in adults but also in childhood and adolescence, indicating that the development of asthma is influenced by childhood obesity (172, 173), creating a complex interplay between these health conditions. Individuals who simultaneously suffer from asthma and obesity are more prone to experiencing poorly controlled asthma symptoms (86, 174176) and lower quality of life (176). Furthermore, individuals in this context demonstrate reduced responsiveness to asthma medications, as evidenced by a higher likelihood of utilizing asthma medications such as short-acting β2-agonists, frequently dispensed and OCS use (177), increased doses of ICS (178, 179), a heightened risk of exacerbations (14, 180), increased emergency room visits and a higher likelihood of hospitalization, including extended hospital length of stay and a higher risk of mechanical ventilation (68, 87, 177, 181). The impact of obesity extends further, contributing to elevated mortality rates among individuals with asthma (88).

Obesity exerts a notable influence on lung function. Obese individuals exhibited a reduction in several measures of lung function, demonstrating a pattern of lower values for FEV1, FVC, TLC, and RV (182, 183). In the general non-asthmatic population, body mass index (BMI) demonstrates a negative correlation with forced expiratory volume in 1 s (FEV1) and forced expiratory flow between 25% and 75% of vital capacity (FEF25-75%) in obese subjects (184). These findings align with those observed in the asthmatic population, where individuals with asthma who are obese demonstrated lower FEV1 and FVC compared to patients without obesity (183, 185). In a prospective study, it was noted that an increase in BMI is linked to a more rapid decline in FEV1 and FVC among adults with asthma who are overweight or obese when compared to those of normal weight (186).

Obesity is associated with poorer clinical outcomes in asthma patients, although the exact mechanisms underlying this connection remain limited in understanding. One potential explanation is that obesity serves as a risk factor for various chronic diseases that can manifest alongside asthma, exacerbating the overall health condition. Numerous studies provide evidence indicating that obesity is linked to a significant increase in various inflammatory markers, potentially intensifying the inflammatory processes in individuals with asthma. Asthmatic individuals who are obese demonstrate notably elevated levels of inflammatory markers, including blood and sputum neutrophils (176, 187), bronchial sputum eosinophil count (187), sputum IL-5 (187), blood IL-6 (187, 188), CRP (187, 189, 190), TNF-α (188), and leptin (187, 188, 190192), in comparison to their non-obese counterparts with asthma. Additionally, obese asthma patients often exhibit a distinct phenotype characterized by neutrophilic inflammation. This is evident in the observed correlation between neutrophil levels and the BMI parameter (193, 194).

The concept of the “obesity paradox,” which suggests that clinical outcomes are more favorable in overweight or obese patients than in those with normal weight or underweight, is widely recognized across various diseases like heart failure (195198), chronic kidney disease (199201), peripheral arterial disease (202), myocardial infarction (203206), lung cancer (207209), and COPD (210212). This paradoxical phenomenon is evident in the observation that, despite the common belief that excess weight may be detrimental to health, it seems to confer certain advantages in terms of clinical outcomes in specific medical conditions. The concept of the obesity paradox in asthma remains unclear and not fully understood. A study discovered that individuals categorized as pre-obese experience a lower risk of mortality due to all causes and respiratory diseases when compared to those in the normal-weight group. Nevertheless, the long-term impact of obesity on outcomes in asthma remains uncertain due to the limited number of obese patients included in this study (213).

In summary, the influence of obesity on clinical outcomes in asthma has been extensively documented in various studies, affecting factors such as poor asthma control, exacerbations, diminished lung function, increased hospitalization rates, and mortality. To enhance clarity, there is a requirement for a prospective study and clinical investigations specifically focusing on the impact of obesity on airway remodeling in asthma. Despite the existence of the obesity paradox in certain respiratory diseases like lung cancer and COPD, this phenomenon in the context of asthma remains relatively less understood to date.

5.5 Asthma and CVD

CVD stands as the predominant cause of morbidity and mortality on a global scale, presenting a significant challenge to public health worldwide. Over the past three decades, there has been a noteworthy surge in the overall prevalence of CVD, escalating from 271 million to 523 million by the year 2019. Simultaneously, the number of deaths attributed to CVD has demonstrated a persistent upward trajectory, rising from 12.1 million in 1990 to 18.6 million in 2019 (214). In contrast to other forms of cardiovascular disease (CVD), ischemic heart disease and stroke constituted 85% of the entire age-standardized death rate (ASDR) for CVD. Both the ASDR and age-standardized DALYs rate (ASYR) for CVD were 1.5 times higher in men than in women. Individuals aged 50 and above were particularly vulnerable to CVD development, with this age category contributing to over 90% of all cases and deaths across various age groups (215). Hypertension, a modifiable risk factor for other significant cardiovascular diseases like heart failure (216, 217), stroke (218, 219), and ischemic heart disease (220), demands attention. The approximate worldwide prevalence of hypertension in 2000 was recorded at 972 million adults, and projections anticipate an increase to 1.56 billion by the year 2025 (221). These alarming numbers highlight the urgent need for effective interventions and preventive measures to mitigate the impact of CVD on global mortality.

Asthma has been identified as a prevalent chronic comorbidity and risk factor for CVD, including hypertension, heart failure, ischemic or coronary heart disease, stroke, pulmonary embolism, deep vein thrombosis, and peripheral artery disease (222228). This association may be more pronounced in the adult-onset asthma (229). Asthma not only coexists with CVD but may also contribute, increasing the likelihood of significant cardiovascular events. Numerous studies observed that asthma is linked to a heightened risk of coronary heart disease (93, 230), heart failure (93), and stroke (93, 227, 231233), increased risk of hospital admission and mean hospital day because of CVD (83, 94), as well as an elevated risk of all-cause mortality and CVD morbidity and mortality, especially in current asthma (6264, 93). This increased risk is not limited to chronic conditions. A study carried out in an Asian population demonstrated that asthma was correlated with a higher probability of encountering acute coronary syndrome, particularly in older individuals with extended emergency room visits or the need for hospitalization (234).

In the context of a bidirectional relationship between CVD and asthma, hypertension emerges as a potential risk factor for asthma. Evidence indicates that individuals with high blood pressure are more susceptible to developing asthma, with severe asthma cases exhibiting higher odds ratios (79, 91). Conversely, individuals with asthma tend to exhibit elevated blood pressure levels when compared to those without asthma and the prevalence of elevated blood pressure is notably higher in individuals with asthma who have lower FEV1% (89). Moreover, hypertension, along with ischemic heart disease and cerebrovascular events, increases the risk of uncontrolled asthma (235, 236). Hypertension also has an impact on a decline in lung function (237), heightened severity of asthma exacerbations and prolonged hospital stays (90, 92), posing challenges in asthma management and necessitating tailored therapeutic approaches. This observation highlights a significant potential association between asthma and hypertension, suggesting that the presence of asthma may contribute to alterations in blood pressure. While hypertension has been well-defined as a risk factor for asthma, other forms of cardiovascular diseases, such as heart failure, ischemic heart disease, and stroke, do not appear to serve as risk factors for the development of asthma and have a limited impact on asthma outcomes. This distinction underscores the complexity of the relationship between cardiovascular health and asthma, indicating that the impact of specific cardiovascular conditions on the risk of asthma may vary. The relationship between asthma and CVD may be attributed to the inherent nature of each condition. The mechanism by which hypertension induces asthma may involve angiotensin II-induced bronchial smooth muscle hyperresponsiveness through the activation of p42/44 ERK (238). However, it remains unclear whether heart failure or other cardiovascular diseases accompanied by hypertension induce asthma, both in laboratory and clinical research. Further investigation is needed to elucidate the specific pathways and interactions contributing to the development of asthma in the context of various cardiovascular conditions associated with hypertension.

Clinical risk stratification is a crucial strategy for identifying individuals at high risk of future cardiovascular events and implementing optimal preventive measures. By assessing various risk factors and considering an individual’s medical history, lifestyle, and other relevant factors, clinicians can tailor preventive strategies to the specific needs of each patient. The European Society of Cardiology Systematic Coronary Risk Evaluation (SCORE), the American College of Cardiology/American Heart Association Atherosclerotic Cardiovascular Disease (ASCVD) risk assessment tools, and the Framingham risk score can be employed to evaluate the risk of cardiovascular disease (239, 240). Conversely, there is a growing interest in utilizing pulmonary function testing to predict cardiovascular disease risk stratification in the context of asthma. A decline in lung function, indicated by reductions in FEV1/FVC, FVC, and FEV1, has been observed to be associated with an elevated risk of cardiovascular (241245). Long-term cohort studies conducted among older individuals have indicated that there are inverse relationships between FEV1 and FVC and the likelihood of experiencing future events related to CVD, highlighting the potential utility of pulmonary function tests in predicting cardiovascular outcomes in older individuals (246). The utilization of pulmonary function tests to predict CVD in clinical practice is not yet widely adopted. However, clinicians should be attentive to the potential for cardiovascular events in asthmatic patients who exhibit a decline in lung function. The assessment of combined CVD risk stratification and pulmonary function tests may play a role in predicting cardiovascular events in asthma patients, although further research is needed to fully understand and validate this relationship.

Another aspect that requires consideration is drug administration in both asthma and CVD. The use of β-blockers in individuals with both hypertension and asthma demands careful attention due to the risk of bronchoconstriction. Non-selective β-blockers like propranolol, pindolol, and timolol have the potential to induce bronchoconstriction in asthma patients (247249). Conversely, cardio-selective β-blockers were observed to pose a reduced risk of exacerbations (250), suggesting a more favorable therapeutic profile.

Another crucial consideration involves evaluating the cardiovascular safety profile of biologic agents used in severe asthma patients. The EXCELS cohort study has provided valuable insights, revealing that omalizumab is associated with a higher incidence of cardiovascular and cerebrovascular serious adverse events when compared to non-omalizumab-treated patients. The observed rates of such events were 13.4 per 1,000 person-years for omalizumab-treated individuals, as opposed to 8.1 per 1,000 person-years in the non-omalizumab group. Furthermore, the study highlighted an increased risk of arterial thromboembolic events among those receiving omalizumab, with rates of 6.66 per 1,000 person-years, compared to 4.64 per 1,000 person-years in the non-omalizumab cohort (251). COSMOS, an extension derived from the MENSA and SIRIUS studies observed no fatal serious adverse events were documented throughout this study. However, in the previous mepolizumab group, 9 patients (2%) reported experiencing any cardiovascular events (252). Benralizumab appears to demonstrate a favorable safety profile in cardiovascular aspects, as evidenced by findings from the SIROCCO and BORA (253, 254). Similarly, a separate study on dupilumab yielded comparable results. Across these trials, there were no reported adverse events linked to cardiovascular issues (255, 256). Upon analyzing data from the PATHWAY and NAVIGATOR studies, notable findings emerged concerning cardiovascular events. Serious adverse events related to cardiac disorders were reported at rates of 0.8% and 0.3% in the tezepelumab and placebo groups, respectively. Additionally, the incidence of hypertension was observed at 3.9% and 4% in the tezepelumab and placebo groups, respectively (257). Continued research dedicated to evaluating the cardiovascular safety profile is imperative. Clinicians must exercise caution and consideration, particularly when managing severe asthma patients with cardiovascular comorbidities using biologic agents. This proactive approach ensures a more comprehensive understanding of the potential implications and aids in making informed decisions for personalized and effective asthma treatment.

In summary, asthma is recognized as a well-defined risk factor for CVD, although the bidirectional relationship between the two is not fully understood. Specifically, among CVD, hypertension is the only condition with a clear impact on asthma outcomes, affecting asthma control, exacerbation rates, lung function decline, and hospitalization. Further studies are required to explore the potential impact of other CVDs on asthma outcomes. The use of pulmonary function tests in combination with CVD risk stratification may play a role in predicting CVD in asthma patients. When considering medications for individuals with both asthma and CVD, a careful evaluation of risks and benefits is essential.

5.6 Asthma as part of ACO

Asthma is a complex and multifaceted respiratory condition that can manifest in various respiratory problems and is often accompanied by a range of comorbidities. Among these comorbidities, particularly notable in older individuals previously diagnosed with asthma, is Asthma-COPD Overlap (ACO). ACO is not defined as a single entity; rather, it is a condition characterized by the coexistence of features typically associated with both asthma and COPD. Establishing precise diagnostic criteria for asthma, ACO, and COPD within clinical practice is a complex task. The presence of overlapping clinical manifestations and shared characteristics among these respiratory conditions can introduce significant challenges to the diagnostic process. These challenges may include differentiating between the conditions based on symptoms, lung function tests, and clinical histories (Figure 2). To provide effective care and individually tailored treatments, clinicians must navigate this complexity by carefully evaluating the unique features of each condition, while also recognizing the potential for overlap. Accurate diagnosis is crucial to ensure that patients receive the most appropriate interventions and therapies, improving their overall respiratory health and quality of life. Asthma, COPD, and ACO all fall under the classification of obstructive pulmonary disease. According to GINA, ACO is used as a collective description of individuals who exhibit persistent airflow limitation along with clinical characteristics that correspond to both asthma and COPD (1).

Figure 2
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Figure 2. Comparison between asthma, COPD, and ACO. Abbreviation: post-BD: post-bronchodilator; FEV1, forced expiratory volume in 1 s; RV, residual volume; FRC, functional residual capacity; TLC, total lung capacity; DLCO, diffusing capacity for carbon monoxide; BGA, blood gas analysis; FeNO, fractional exhaled nitric oxide; AHR, airway hyperresponsiveness; FVC, forced vital capacity; LLN, lower limit normal; NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio.

The prevalence of ACO can differ significantly depending on the diagnostic criteria employed in the clinical study. A prospective study observed ACO prevalence ranging from 3.8% to 31% (258). Additionally, another study that utilized self-reported data and analyzed different age groups reported ACO prevalence rates of 1.9% in the general population. In different sub-groups, the prevalence was 0.7% in the <40-year age group, 1.4% in the 40- to 60-year age group, and 3.2% in the ≥60-year age group (259). This study also revealed that the prevalence of ACO was 2% after evaluating ACO using spirometry parameters and including the criteria of doctor-diagnosed asthma (259). A meta-analysis revealed that the prevalence of ACO in the general population is relatively low at 2%. However, in populations of individuals with asthma and COPD, the prevalence is significantly higher, at 26.5% and 29.6%, respectively. These findings emphasize the importance of clinical awareness when managing ACO, asthma, and COPD in clinical practice, especially in older patients with a history of asthma (260).

Asthma exhibits variable patterns of disease progression, with symptoms ranging from intermittent to persistent. While some individuals achieve long-term asthma control through diligent management and adherence to prescribed therapies, certain risk factors may contribute to the potential transition to ACO over time. ACO is caused by a dynamic interaction between a host and environmental factors of which the influence begins during fetal development and continues into adulthood. Factors such as continued exposure to occupational or environmental triggers, sustained smoking habits, genetic susceptibility, aggravation of symptoms, interaction among inflammatory cells, and the presence of comorbidities, among others, have been suggested as contributors to the development of ACO in individuals with a history of asthma (261264). Epigenetic factors associated with smoking/allergen exposure may play an important role in the development of ACO. A study employing microarray analysis has made notable observations regarding the epigenetic factors contributing to the development of ACO. It identified specific genes that undergo hypermethylation or hypomethylation in individuals with ACO, distinguishing them from those with COPD or healthy non-smokers. Moreover, this study found that these epigenetic changes were associated with rapid declines in lung function, severe airflow limitations, and frequent exacerbations (265).

Establishing accurate diagnostic criteria for both asthma and ACO within clinical practice presents a challenging endeavor. The overlapping clinical manifestations and shared characteristics between these conditions can complicate the diagnostic process. The hallmark of asthma is characterized by variable expiratory airflow limitation assessed through lung function tests or airway hyperresponsiveness. ACO, on the other hand, exhibits clinical presentations that can resemble asthma, primarily because it combines features of both asthma and COPD, encompassing a wide range of clinical presentations. Identification of specific diagnostic markers to distinguish between these entities remains an ongoing research focus. Sputum cell counts hold potential as inflammatory biomarkers. Sputum eosinophil (%) is reduced in COPD as compared to asthma and ACO, while sputum neutrophil (%) is elevated in COPD. Conversely, sputum macrophage (%) is elevated in patients with asthma (266). Another common marker that can be used to differentiate between these three obstructive lung diseases is blood eosinophil levels, along with the analysis of complete blood count. ACO showed elevated eosinophil counts, reduced percentages of neutrophils, a decreased neutrophil-to-lymphocyte ratio, and a lower platelet-to-lymphocyte ratio (267). In a population-based, cross-sectional study, it was observed that individuals with ACO had a higher prevalence of blood eosinophil counts exceeding 400 cells/μL when compared to those with COPD or asthma (268). Nevertheless, it’s essential to recognize that elevated blood eosinophil levels are not unique to ACO, as another study demonstrated that asthma patients tend to have higher blood eosinophil counts than both ACO and COPD patients (269). This variation in findings may be because individuals in the ACO group can exhibit characteristics that align more closely with either COPD or asthma (268). Serum nuclear magnetic resonance spectroscopy demonstrated promise in differentiating asthma, COPD, and ACO. It revealed dysregulated metabolites such as lipids, isoleucine, N-acetyl glycoproteins, glutamate, valine, glucose, citric acid, l-leucine, lysine, phenylalanine, asparagine, and histidine, which were found to be distinctive markers for ACO, setting it apart from asthma and COPD (270).

Micro-RNA, particularly miR-15b-5p, stands out as a potential candidate for precise ACO identification. Moreover, when miR-15b-5p is combined with YKL-40 and periostin, it has proven to be useful in defining the characteristics of ACO, providing insights into its pathophysiological nuances (271). Additionally, the assessment of damage-associated molecular patterns has highlighted significant differences across these conditions. Sputum high mobility group protein B1 levels were elevated in individuals with ACO and with COPD, as compared to those with asthma, while sputum LL-37 levels were higher in individuals with COPD than in those with ACO (272). Fractional exhaled nitric oxide (FeNO) serves as a straightforward, safe, and quantitative means of evaluating airway inflammation. It quantifies the levels of nitric oxide (NO) produced by nitric oxide synthase during exhalation (273). FeNO levels can be utilized to distinguish between ACO and COPD (274, 275). However, the utility of FeNO in distinguishing between asthma and ACO remains unclear at present. This is because ACO often presents with characteristics of eosinophilic airway inflammation that are similar to those seen in asthma. Since exhaled nitric oxide levels have been found to have a positive correlation with eosinophilic sputum (276), higher FeNO levels may indicate increased eosinophilic inflammation in the airways. However, it’s important to note that elevated FeNO levels are not specific to ACO or asthma alone.

An essential aspect of effectively managing asthma, COPD, and ACO is the ability to distinguish between these conditions. When comparing the ACO-asthma subgroup to the ACO-COPD subtype, several notable differences emerge. The ACO-COPD subgroup tends to consist of older individuals, with a higher proportion of males and a greater prevalence of smoking history. Additionally, these individuals often exhibit compromised lung function and an increased susceptibility to exacerbations (277279). Investigation within a population with asthma and severe asthma has emphasized that ACO patients are generally advanced age, predominantly male, and more prone to having a history of smoking, a higher mean age of asthma onset, longer disease duration, less prevalence of allergic comorbidities, poorer lung function measurements, and a requirement for higher doses of ICS (280282). Furthermore, ACO patients have lower diffusing capacity of carbon dioxide (DLCO), higher blood neutrophils, are more likely to have higher sputum neutrophil levels, higher IL-6 levels, increased bronchial reversibility, and a greater number of comorbid conditions (282, 283). On the other hand, within a population with COPD, ACO patients exhibit higher bronchodilator reversibility, a medical history of either asthma or atopic conditions, and higher blood and sputum eosinophil levels (268, 282). In another study conducted within the COPD population, individuals with ACO exhibited a more unfavorable prognosis. They displayed lower lung function and a higher likelihood of being fast decliners. ACO patients experienced more severe symptoms and a greater frequency of exacerbations compared to other COPD patients. They also had a higher burden of comorbidities and reported impaired quality of life. Additionally, features such as atopy and physician-diagnosed asthma were found to be more distinctive for identifying ACO (258).

Individuals with COPD are more likely to experience hospitalization due to the progressive nature of the disease, worsening clinical symptoms, and a decline in lung function, particularly in those with frequent exacerbations. Similarly, individuals with ACO also demonstrate a heightened hospital impact compared to patients with asthma. Both COPD and ACO patients experience more adverse outcomes and a greater need for hospital care when compared to asthma patients (284). The higher rate of hospitalization in ACO patients may be attributed to several factors, including the progressive nature of the disease, worsening clinical symptoms, a decline in lung function, higher rates of fast decliners, increased symptom burden, more frequent use of systemic corticosteroids, greater occurrence of exacerbations and ER visits, compromised health-related quality of life, and a higher prevalence of comorbidities (258, 280, 285, 286).

Asthma, COPD, and ACO all contribute to an increased risk of mortality. However, understanding the comparative mortality rates among these three conditions remains complex. While each of these respiratory conditions has its unique characteristics and risk factors, overlapping symptoms and comorbidities often blur the lines between them. As a result, determining the precise mortality risk associated with each condition, as well as identifying the specific factors that influence mortality, poses significant challenges. Utilizing a national inpatient database, a comprehensive study has assessed the in-hospital mortality for all causes in patients admitted for exacerbations of asthma, COPD, or ACO. The findings of that study revealed distinct patterns: the group exclusively affected by COPD exhibited the highest in-hospital mortality rate, whereas asthma demonstrated comparatively lower in-hospital mortality than the ACO group (287). Furthermore, individuals with ACO present an elevated risk of death related to respiratory issues, in contrast to those experiencing asthma alone, without a corresponding trend observed among those exclusively affected by COPD. In investigating cause-specific mortality, COPD and asthma predominantly contribute to cardiovascular- and cancer-related deaths, respectively, while ACO is characterized by a higher rate of respiratory deaths (288).

Taking together, it is crucial to evaluate other obstructive conditions, such as ACO or COPD, in older individuals with a history of previous asthma. Identifying ACO within populations of asthma or COPD patients is essential for improving the management of these conditions. It has been firmly established that ACO is associated with worse clinical outcomes, including clinical presentation, exacerbations, declining lung function, and mortality when compared to asthma alone. While the management approach for the ACO-asthma subgroup is not significantly different from that of asthma, it necessitates increased awareness, as individuals with ACO may present with multiple comorbidities that can impact the success of treatment. Future research should prioritize the development of biomarkers to distinguish between asthma and ACO and the elucidation of personalized management strategies for individuals clinically diagnosed with ACO, especially those with a history of previous asthma.

5.7 Asthma as part of occupational lung disease

Occupational exposure should be recognized as a potential risk factor for respiratory diseases, including asthma. According to a surveillance report from SWORD (Surveillance of Work-related and Occupational Respiratory Disease), there is a discernible upward trend in the incidence of occupational lung disease, with numerous substances impacting respiratory health. SWORD ‘99 highlights that benign pleural disease, occupational asthma, and mesothelioma maintain high incidence rates, constituting 28%, 26%, and 23%, respectively. SWORD ‘98 previously identified occupational asthma as the most reported occupational disease (289, 290).

Based on the underlying mechanisms that trigger asthma symptoms, work-related asthma can be categorized into two main types: occupational asthma, primarily caused by exposure in the workplace, and work-exacerbated asthma, which denotes the onset or exacerbation of asthma symptoms due to occupational exposure in individuals with pre-existing asthma conditions. Occupational asthma can further be classified into sensitizer-induced and irritant-induced occupational asthma (291, 292).

Focusing on occupational asthma, an analysis of several surveillance systems in Korea reveals that the annual mean incidence rate of occupational asthma is 1.6% and 3.5% by compensation and by the surveillance system, respectively (293). Another Korean surveillance study observed the highest incidence of work-related asthma in the 50–59 age group, with the most common agents being isocyanates, flour/grain, metal, reactive dyes, and solvents, accounting for 46.6%, 8.5%, 5.9%, 5.1%, and 4.2%, respectively (294). The incidence of occupational asthma in Korea appears likely lower than in other countries. For instance, a retrospective review of Belgian workers observed an annual incidence of occupational asthma at 29.4 new cases per million workers during the study period, with the most common agents being flour/grain, isocyanates, latex, wood dust, and enzymes, accounting for 33.6%, 19.6%, 17.2%, 7.8%, and 4.8%, respectively (295). Another study, an analysis of data from a 15-year study by Shield Surveillance in the United Kingdom, observed that the annual incidence of occupational asthma was 42 per million workers. This study also noted that isocyanates were the most common agents responsible for occupational asthma (296).

Occupational exposure appears to be correlated with the severity of asthma, and awareness should be heightened regarding moderate to severe adult-onset asthma. An epidemiological study noted an association between severe adult-onset asthma and occupational asthma triggers, encompassing high molecular weight agents, low molecular weight agents, and mixed environments (297). In the context of hospitalization among workers, occupational asthma seems to be linked to a higher likelihood of hospitalization for various reasons, such as cardiovascular disease, respiratory disease, and asthma itself (298). However, it is important to note that this study was conducted in an earlier era when anti-inflammatory agents were not widely utilized for achieving well-controlled asthma. However, in a population-based asthma cohort study, a relatively high incidence of exacerbation, approximately 26%, was observed among asthmatic workers. More than two-thirds of these individuals experienced moderate to severe exacerbations. The study also identified several agents associated with exacerbation in asthmatic workers, including exposure to any gas, smoke, or dust, including organic dust, as well as factors such as cold, dampness, molds, and engaging in physically strenuous jobs (299). A retrospective cohort study identified several factors associated with the severity of conditions in occupational asthma. These factors include prolonged exposure to causative agents at the workplace, childhood-onset asthma, limited educational attainment, and the presence of sputum production (300).

Identifying asthma risk factors and workplace agent exposures that contribute to symptoms and exacerbations is crucial and well-established in the management of occupational asthma. However, clinicians sometimes overlook the identification of comorbidities that accompany occupational asthma and may exert an influence on the uncontrolled condition. While studies on comorbidities in occupational asthma are limited, particularly in terms of how comorbidities influence the outcome of occupational asthma, several studies and case reports have reported the presence of comorbidities in occupational asthma. These include psychiatric disorders such as mood and anxiety disorders and hypochondriasis (301), as well as occupational rhinitis (302, 303). Interestingly, one report observed the development of silicosis in several artificial stone workers who had a prior diagnosis or suspicion of work-related asthma, raising awareness about the potential for more serious conditions to arise from chronic exposure to causal agents (304). Clinicians should be aware of comorbidities in occupational asthma as an integral component of asthma management to achieve well-controlled outcomes. In a case report detailing uncontrolled occupational asthma, a persistent condition was observed despite avoiding the triggering agent and undergoing optimal treatment. However, addressing two comorbidities—GERD and OSA—in this case report led to an improvement in the patient’s condition (305). This underscores the importance of a comprehensive approach that considers and manages associated comorbidities for the effective control of occupational asthma.

In summary, addressing occupational exposure is crucial as a causal factor in the development of occupational asthma among workers. Exposure to causal agents in the work environment appears to be linked with the severity of asthma, including the likelihood of exacerbations. Regarding comorbidities in occupational asthma, while the research in this area is limited, clinicians should be mindful of this issue. Optimal management of comorbidities holds the potential to enhance overall control and achieve a well-managed condition in occupational asthma. Recognizing and addressing both occupational exposure and associated comorbidities constitute essential components of a comprehensive approach to managing occupational asthma effectively.

6 Future perspective

Personalized therapy is a future goal in asthma management. The assessment of comorbidities in each individual and the implementation of optimal approaches and management are crucial components of personalized asthma management. The impact of comorbidities extends beyond the outcomes of asthma treated with standard bronchodilators and/or inhaled corticosteroids (ICS) alone. It is also associated with the outcomes achieved through the use of biologic agents in cases of severe asthma. The study observed that severe asthmatic patients with comorbid chronic rhinosinusitis, with or without nasal polyps, showed a significant reduction in exacerbations per year, higher chances of improved post-biologic treatment, and a noteworthy increase in FEV1 compared to those without this comorbidity. Similarly, patients with nasal polyps experienced a decrease in exacerbations and higher odds of improved post-biologic treatment, but there was no significant trend towards additional improvement in FEV1. Conversely, biologic treatments for either chronic rhinosinusitis with or without nasal polyps or nasal polyps did not lead to further reductions in the daily dose of long-term oral corticosteroids. When assessing the impact of allergic rhinitis or atopic dermatitis on the response to biologic agents, no distinct effects on treatment outcomes were observed (306, 307). Conducting studies to investigate the influence of comorbidities on severe asthma patients receiving biologic agents is crucial for future research. This will contribute to an enhanced understanding of asthma-related comorbidities and their impact on treatment outcomes.

While CKD appears to be linked to asthma development, its impact on asthma outcomes requires further investigation. Additionally, the long-term effects of asthma treatments, including biological agents, on renal function warrant attention. DM is well-established as being associated with asthma outcomes. Although studies indicate that the appropriate use of ICS in asthma does not trigger DM, the prolonged use of high-dose ICS or OCS poses the risk of new-onset DM or an increase in blood glucose levels or HbA1C. Therefore, further research is needed to provide appropriate guidance on the use of ICS or OCS in asthmatic patients with DM. Asthma is recognized as an adverse outcome factor in lung cancer, but the influence of lung cancer on asthma outcomes necessitates further investigation. The existing treatments for asthma, including the use of biological agents, have not definitively been shown to increase the incidence of lung cancer. However, prospective studies, particularly examining the use of biological agents in asthma cases and their impact on the incidence of lung cancer, are needed. Moreover, investigations into the use of immune checkpoint inhibitors in lung cancer cases with asthma are also warranted. The bidirectional relationship between asthma and obesity is well-established in numerous studies, and management strategies for asthma in obesity have been extensively discussed in the literature. However, the implementation of these strategies must be individualized for each patient, requiring careful attention from clinicians. Asthma is well-established as a risk factor for various CVD. Nonetheless, the influence of CVD on asthma outcomes remains a subject that requires further study. Additionally, there is a need for studies on cardiovascular risk stratification in asthma patients with reduced lung function.

7 Conclusion

In conclusion, the substantial impact of chronic comorbidities necessitates further investigation. CKD heightens the risk of asthma, yet its influence on asthma outcomes remains unclear. Clinicians should remain vigilant regarding CKD development, especially in severe asthma patients with CKD risk factors and elevated inflammatory markers. The bidirectional relationship between asthma and DM is well-established. Clinicians should be mindful of asthma development in DM patients and vice versa, particularly in severe asthma cases receiving high doses of ICS or OCS. An increase in systemic inflammation markers and/or a decline in lung function in asthma patient with DM should prompt further assessment and more aggressive treatment. Asthma poses a risk for unfavorable lung cancer outcomes. Although the current evidence does not definitively establish lung cancer as a risk for asthma outcomes, optimal management of asthma in lung cancer patients with asthma is crucial to reducing the risk of poor outcomes in lung cancer. Obesity is identified as a risk factor for poor asthma outcomes. Asthma patients with obesity should undergo personalized management therapy early on, employing optimal treatment to achieve well-controlled asthma. Regular evaluation of lung function in cases of asthma-obesity that have not achieved well-controlled asthma also merits attention. Asthma is a risk factor for developing CVD. Patients with prolonged or severe asthma at risk for CVD should undergo a CVD risk stratification assessment and, if necessary, appropriate examinations. Managing asthma in older age requires careful diagnosis to differentiate between asthma, ACO, or COPD to ensure patients receive the correct treatment. In the case of occupational lung disease, it is crucial to address occupational exposure and comorbidities in workers with occupational asthma to enhance overall outcomes. The assessment and approach to chronic comorbidities are crucial in asthma management to achieve favorable asthma outcomes.

Author contributions

AL: Conceptualization, Writing – original draft, Writing – review & editing. RO: Writing – review & editing. TH: Writing – review & editing. GI: Writing – review & editing. AY: Conceptualization, Supervision, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

chat.openai.com, quillbot.com, Grammarly Desktop, and Mendeley Desktop are used to support the writing or editing of the manuscript.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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References

1. Global initiative for asthma. GINA-2023-Full-report-23_07_06-WMSpdf (2023). Available at: https://ginasthma.org/2023-gina-main-report/

Google Scholar

2. British Thoracic Society. British guideline on the management of asthma. (2019). Available at: https://www.brit-thoracic.org.uk/quality-improvement/guidelines/asthma/

Google Scholar

3. Pola-Bibian, B, Dominguez-Ortega, J, Vilà-Nadal, G, Entrala, A, González-Cavero, L, Barranco, P, et al. Asthma exacerbations in a tertiary hospital: clinical features, triggers, and risk factors for hospitalization. J Investig Allergol Clin Immunol. (2017) 27:238–45. doi: 10.18176/jiaci.0128

Crossref Full Text | Google Scholar

4. Quezada, W, Kwak, ES, Reibman, J, Rogers, L, Mastronarde, J, Teague, WG, et al. Predictors of asthma exacerbation among patients with poorly controlled asthma despite inhaled corticosteroid treatment. Ann Allergy Asthma Immunol. (2016) 116:112–7. doi: 10.1016/j.anai.2015.11.011

PubMed Abstract | Crossref Full Text | Google Scholar

5. Tupper, OD, and Ulrik, CS. Long-term predictors of severe exacerbations and mortality in a cohort of well-characterised adults with asthma. Respir Res. (2021) 22:269–9. doi: 10.1186/s12931-021-01864-z

PubMed Abstract | Crossref Full Text | Google Scholar

6. Nwaru, BI, Ekström, M, Hasvold, P, Wiklund, F, Telg, G, and Janson, C. Overuse of short-acting β2-agonists in asthma is associated with increased risk of exacerbation and mortality: a nationwide cohort study of the global SABINA programme. Eur Respir J. (2020) 55:1901872. doi: 10.1183/13993003.01872-2019

PubMed Abstract | Crossref Full Text | Google Scholar

7. al-Jahdali, H, Ahmed, A, al-Harbi, A, Khan, M, Baharoon, S, Bin Salih, S, et al. Improper inhaler technique is associated with poor asthma control and frequent emergency department visits. Allergy Asthma Clin Immunol. (2013) 9:1–7. doi: 10.1186/1710-1492-9-8

PubMed Abstract | Crossref Full Text | Google Scholar

8. Miller, MK, Lee, JH, Miller, DP, and Wenzel, SE. Recent asthma exacerbations: a key predictor of future exacerbations. Respir Med. (2007) 101:481–9. doi: 10.1016/j.rmed.2006.07.005

PubMed Abstract | Crossref Full Text | Google Scholar

9. DiMango, E, Rogers, L, Reibman, J, Gerald, LB, Brown, M, Sugar, EA, et al. Risk factors for asthma exacerbation and treatment failure in adults and adolescents with well-controlled asthma during continuation and step-down therapy. Ann Am Thorac Soc. (2018) 15:955–61. doi: 10.1513/AnnalsATS.201711-886OC

PubMed Abstract | Crossref Full Text | Google Scholar

10. Ekström, M, Nwaru, BI, Wiklund, F, Telg, G, and Janson, C. Risk of rehospitalization and death in patients hospitalized due to asthma. J Allergy Clin Immunol Pract. (2021) 9:1960–1968.e4. doi: 10.1016/j.jaip.2020.12.030

PubMed Abstract | Crossref Full Text | Google Scholar

11. Ban, G-Y, Kim, S-C, Lee, HY, Ye, Y-M, Shin, YS, and Park, H-S. Risk factors predicting severe asthma exacerbations in adult asthmatics: a real-world clinical evidence. Allergy Asthma Immunol Res. (2021) 13:420–34. doi: 10.4168/aair.2021.13.3.420

PubMed Abstract | Crossref Full Text | Google Scholar

12. Zeiger, RS, Schatz, M, Li, Q, Chen, W, Khatry, DB, Gossage, D, et al. High blood eosinophil count is a risk factor for future asthma exacerbations in adult persistent asthma. J Allergy Clin Immunol Pract. (2014) 2:741–750.e4. doi: 10.1016/j.jaip.2014.06.005

PubMed Abstract | Crossref Full Text | Google Scholar

13. Gross, E, Lee, DS, Hotz, A, Ngo, KC, and Rastogi, D. Impact of obesity on asthma morbidity during a hospitalization. Hosp Pediatr. (2018) 8:538–46. doi: 10.1542/hpeds.2017-0265

PubMed Abstract | Crossref Full Text | Google Scholar

14. Fitzpatrick, S, Joks, R, and Silverberg, JI. Obesity is associated with increased asthma severity and exacerbations, and increased serum immunoglobulin E in inner-city adults. Clin Exp Allergy. (2012) 42:747–59. doi: 10.1111/j.1365-2222.2011.03863.x

PubMed Abstract | Crossref Full Text | Google Scholar

15. Denlinger, LC, Phillips, BR, Ramratnam, S, Ross, K, Bhakta, NR, Cardet, JC, et al. Inflammatory and comorbid features of patients with severe asthma and frequent exacerbations. Am J Respir Crit Care Med. (2016) 195:302–13. doi: 10.1164/rccm.201602-0419OC

PubMed Abstract | Crossref Full Text | Google Scholar

16. Teodorescu, M, Polomis, DA, Hall, SV, Teodorescu, MC, Gangnon, RE, Peterson, AG, et al. Association of obstructive sleep apnea risk with asthma control in adults. Chest. (2010) 138:543–50. doi: 10.1378/chest.09-3066

PubMed Abstract | Crossref Full Text | Google Scholar

17. Wang, Y, Liu, K, Hu, K, Yang, J, Li, Z, Nie, M, et al. Impact of obstructive sleep apnea on severe asthma exacerbations. Sleep Med. (2016) 26:1–5. doi: 10.1016/j.sleep.2016.06.013

PubMed Abstract | Crossref Full Text | Google Scholar

18. Roberts, G, Patel, N, Levi-Schaffer, F, Habibi, P, and Lack, G. Food allergy as a risk factor for life-threatening asthma in childhood: a case-controlled study. J Allergy Clin Immunol. (2003) 112:168–74. doi: 10.1067/mai.2003.1569

PubMed Abstract | Crossref Full Text | Google Scholar

19. Simpson, AB, Yousef, E, and Hossain, J. Association between peanut allergy and asthma morbidity. J Pediatr. (2010) 156:777–781.e1. doi: 10.1016/j.jpeds.2009.11.080

Crossref Full Text | Google Scholar

20. Bousquet, J, Gaugris, S, Kocevar, VS, Zhang, Q, Yin, DD, Polos, PG, et al. Increased risk of asthma attacks and emergency visits among asthma patients with allergic rhinitis: a subgroup analysis of the improving asthma control trial. Clin Exp Allergy. (2005) 35:723–7. doi: 10.1111/j.1365-2222.2005.02251.x

Crossref Full Text | Google Scholar

21. ten Brinke, A. Risk factors of frequent exacerbations in difficult-to-treat asthma. Eur Respir J. (2005) 26:812–8. doi: 10.1183/09031936.05.00037905

Crossref Full Text | Google Scholar

22. Sohn, K-H, Song, W-J, Park, J-S, Park, H-W, Kim, T-B, Park, C-S, et al. Risk factors for acute exacerbations in elderly asthma: what makes asthma in older adults distinctive? Allergy Asthma Immunol Res. (2020) 12:443–53. doi: 10.4168/aair.2020.12.3.443

PubMed Abstract | Crossref Full Text | Google Scholar

23. Canonica, GW, Malvezzi, L, Blasi, F, Paggiaro, P, Mantero, M, Senna, G, et al. Chronic rhinosinusitis with nasal polyps impact in severe asthma patients: evidences from the severe asthma network Italy (SANI) registry. Respir Med. (2020) 166:105947. doi: 10.1016/j.rmed.2020.105947

PubMed Abstract | Crossref Full Text | Google Scholar

24. Stubbs, MA, Clark, VL, Gibson, PG, Yorke, J, and McDonald, VM. Associations of symptoms of anxiety and depression with health-status, asthma control, dyspnoea, dysfunction breathing and obesity in people with severe asthma. Respir Res. (2022) 23:341–13. doi: 10.1186/s12931-022-02266-5

PubMed Abstract | Crossref Full Text | Google Scholar

25. Mallah, N, Turner, JM, González-Barcala, F, and Takkouche, B. Gastroesophageal reflux disease and asthma exacerbation: a systematic review and meta-analysis. Pediatr Allergy Immunol. (2022) 33:1–13. doi: 10.1111/pai.13655

Crossref Full Text | Google Scholar

26. Cheung, TK, Lam, B, Lam, KF, Ip, M, Ng, C, Kung, R, et al. Gastroesophageal reflux disease is associated with poor asthma control, quality of life, and psychological status in Chinese asthma patients. Chest. (2009) 135:1181–5. doi: 10.1378/chest.08-1702

PubMed Abstract | Crossref Full Text | Google Scholar

27. Calvén, J, Ax, E, and Rådinger, M. The airway epithelium—a central player in asthma pathogenesis. Int J Mol Sci. (2020) 21:8907. doi: 10.3390/ijms21238907

PubMed Abstract | Crossref Full Text | Google Scholar

28. Wang, W, Li, Y, Lv, Z, Chen, Y, Li, Y, Huang, K, et al. Bronchial allergen challenge of patients with atopic asthma triggers an Alarmin (IL-33, TSLP, and IL-25) response in the airways epithelium and submucosa. J Immunol. (2018) 201:2221–31. doi: 10.4049/jimmunol.1800709

PubMed Abstract | Crossref Full Text | Google Scholar

29. Al-Shami, A, Spolski, R, Kelly, J, Keane-Myers, A, and Leonard, WJ. A role for TSLP in the development of inflammation in an asthma model. J Exp Med. (2005) 202:829–39. doi: 10.1084/jem.20050199

PubMed Abstract | Crossref Full Text | Google Scholar

30. Tang, W, Smith, SG, Beaudin, S, Dua, B, Howie, K, Gauvreau, G, et al. IL-25 and IL-25 receptor expression on eosinophils from subjects with allergic asthma. Int Arch Allergy Immunol. (2013) 163:5–10. doi: 10.1159/000355331

PubMed Abstract | Crossref Full Text | Google Scholar

31. Aron, JL, and Akbari, O. Regulatory T cells and type 2 innate lymphoid cell-dependent asthma. Allergy. (2017) 72:1148–55. doi: 10.1111/all.13139

PubMed Abstract | Crossref Full Text | Google Scholar

32. Wolterink, RGJK, KleinJan, A, van Nimwegen, M, Bergen, I, de Bruijn, M, Levani, Y, et al. Pulmonary innate lymphoid cells are major producers of IL-5 and IL-13 in murine models of allergic asthma. Eur J Immunol. (2012) 42:1106–16. doi: 10.1002/eji.201142018

Crossref Full Text | Google Scholar

33. Robinson, DS, Assoufi, B, Durham, SR, and Kay, AB. Eosinophil cationic protein (ECP) and eosinophil protein X (EXP) concentrations in serum and bronchial lavage fluid in asthma. Effect of prednisolone treatment. Clin Exp Allergy. (1995) 25:1118–27. doi: 10.1111/j.1365-2222.1995.tb03259.x

PubMed Abstract | Crossref Full Text | Google Scholar

34. Virchow, JC Jr, Kroegel, C, Hage, U, Kortsik, C, Matthys, H, and Werner, P. Comparison of sputum-ECP levels in bronchial asthma and chronic bronchitis. Allergy. (1993) 48:112–8. doi: 10.1111/j.1398-9995.1993.tb04712.x

PubMed Abstract | Crossref Full Text | Google Scholar

35. Niimi, A, Amitani, R, Suzuki, K, Tanaka, E, Murayama, T, and Kuze, F. Serum eosinophil cationic protein as a marker of eosinophilic inflammation in asthma. Clin Exp Allergy. (1998) 28:233–40. doi: 10.1046/j.1365-2222.1998.00217.x

Crossref Full Text | Google Scholar

36. Sanz, ML, Parra, A, Prieto, I, Diéguez, I, and Oehling, AK. Serum eosinophil peroxidase (EPO) levels in asthmatic patients. Allergy. (1997) 52:417–22. doi: 10.1111/j.1398-9995.1997.tb01021.x

PubMed Abstract | Crossref Full Text | Google Scholar

37. Durham, SR, Loegering, DA, Dunnette, S, Gleich, GJ, and Kay, AB. Blood eosinophils and eosinophil-derived proteins in allergic asthma. J Allergy Clin Immunol. (1989) 84:931–6. doi: 10.1016/0091-6749(89)90391-6

Crossref Full Text | Google Scholar

38. Lee, Y, Lee, J-H, Yang, E-M, Kwon, E, Jung, C-G, Kim, S-C, et al. Serum levels of eosinophil-derived neurotoxin: a biomarker for asthma severity in adult asthmatics. Allergy Asthma Immunol Res. (2019) 11:394–405. doi: 10.4168/aair.2019.11.3.394

PubMed Abstract | Crossref Full Text | Google Scholar

39. Brown, MA, Pierce, JH, Watson, CJ, Falco, J, Ihle, JN, and Paul, WE. B cell stimulatory factor-1/interleukin-4 mRNA is expressed by normal and transformed mast cells. Cell. (1987) 50:809–18. doi: 10.1016/0092-8674(87)90339-4

PubMed Abstract | Crossref Full Text | Google Scholar

40. Komai-Koma, M, Brombacher, F, Pushparaj, PN, Arendse, B, McSharry, C, Alexander, J, et al. Interleukin-33 amplifies IgE synthesis and triggers mast cell degranulation via interleukin-4 in naïve mice. Allergy. (2012) 67:1118–26. doi: 10.1111/j.1398-9995.2012.02859.x

PubMed Abstract | Crossref Full Text | Google Scholar

41. Nabeshima, Y, Hiragun, T, Morita, E, Mihara, S, Kameyoshi, Y, and Hide, M. IL-4 modulates the histamine content of mast cells in a mast cell/fibroblast co-culture through a Stat6 signaling pathway in fibroblasts. FEBS Lett. (2005) 579:6653–8. doi: 10.1016/j.febslet.2005.09.104

PubMed Abstract | Crossref Full Text | Google Scholar

42. Boyce, JA. The role of mast cells in asthma. Prostaglandins Leukot Essent Fatty Acids. (2003) 69:195–205. doi: 10.1016/s0952-3278(03)00081-4

Crossref Full Text | Google Scholar

43. Britt, RD, Thompson, MA, Sasse, S, Pabelick, CM, Gerber, AN, and Prakash, YS. Th1 cytokines TNF-α and IFN-γ promote corticosteroid resistance in developing human airway smooth muscle. Am J Physiol Cell Mol Physiol. (2018) 316:L71–81. doi: 10.1152/ajplung.00547.2017

PubMed Abstract | Crossref Full Text | Google Scholar

44. Al-Ramli, W, Préfontaine, D, Chouiali, F, Martin, JG, Olivenstein, R, Lemière, C, et al. TH17-associated cytokines (IL-17A and IL-17F) in severe asthma. J Allergy Clin Immunol. (2009) 123:1185–7. doi: 10.1016/j.jaci.2009.02.024

Crossref Full Text | Google Scholar

45. Neveu, WA, Allard, JL, Raymond, DM, Bourassa, LM, Burns, SM, Bunn, JY, et al. Elevation of IL-6 in the allergic asthmatic airway is independent of inflammation but associates with loss of central airway function. Respir Res. (2010) 11:28. doi: 10.1186/1465-9921-11-28

PubMed Abstract | Crossref Full Text | Google Scholar

46. Nakamura, H, Yoshimura, K, Jaffe, HA, and Crystal, RG. Interleukin-8 gene expression in human bronchial epithelial cells. J Biol Chem. (1991) 266:19611–7. doi: 10.1016/S0021-9258(18)55037-7

Crossref Full Text | Google Scholar

47. Xia, M, Xu, F, Ni, H, Wang, Q, Zhang, R, Lou, Y, et al. Neutrophil activation and NETosis are the predominant drivers of airway inflammation in an OVA/CFA/LPS induced murine model. Respir Res. (2022) 23:289. doi: 10.1186/s12931-022-02209-0

PubMed Abstract | Crossref Full Text | Google Scholar

48. Vignola, AM, Bonanno, A, Mirabella, A, Riccobono, L, Mirabella, F, Profita, M, et al. Increased levels of elastase and α 1-antitrypsin in sputum of asthmatic patients. Am J Respir Crit Care Med. (1998) 157:505–11. doi: 10.1164/ajrccm.157.2.9703070

PubMed Abstract | Crossref Full Text | Google Scholar

49. Obaid Abdullah, S, Ramadan, GM, Makki Al-Hindy, HA-A, Mousa, MJ, Al-Mumin, A, Jihad, S, et al. Serum myeloperoxidase as a biomarker of asthma severity among adults: a case control study. Reports Biochem Mol Biol. (2022) 11:182–9. doi: 10.52547/rbmb.11.1.182

Crossref Full Text | Google Scholar

50. Monteseirín, J, Bonilla, I, Camacho, J, Conde, J, and Sobrino, F. Elevated secretion of myeloperoxidase by neutrophils from asthmatic patients: the effect of immunotherapy. J Allergy Clin Immunol. (2001) 107:623–6. doi: 10.1067/mai.2001.113566

PubMed Abstract | Crossref Full Text | Google Scholar

51. Liang, Z, Liu, L, Zhao, H, Xia, Y, Zhang, W, Ye, Y, et al. A systemic inflammatory endotype of asthma with more severe disease identified by unbiased clustering of the serum cytokine profile. Medicine (Baltimore). (2016) 95:e3774. doi: 10.1097/MD.0000000000003774

PubMed Abstract | Crossref Full Text | Google Scholar

52. Jousilahti, P, Salomaa, V, Hakala, K, Rasi, V, Vahtera, E, and Palosuo, T. The association of sensitive systemic inflammation markers with bronchial asthma. Ann Allergy Asthma Immunol. (2002) 89:381–5. doi: 10.1016/S1081-1206(10)62039-X

Crossref Full Text | Google Scholar

53. Wood, LG, Baines, KJ, Fu, J, Scott, HA, and Gibson, PG. The neutrophilic inflammatory phenotype is associated with systemic inflammation in asthma. Chest. (2012) 142:86–93. doi: 10.1378/chest.11-1838

PubMed Abstract | Crossref Full Text | Google Scholar

54. Song, P, Adeloye, D, Salim, H, Dos Santos, JP, Campbell, H, Sheikh, A, et al. Global, regional, and national prevalence of asthma in 2019: a systematic analysis and modelling study. J Glob Health. (2022) 12:04052. doi: 10.7189/jogh.12.04052

PubMed Abstract | Crossref Full Text | Google Scholar

55. Cao, Y, Chen, S, Chen, X, Zou, W, Liu, Z, Wu, Y, et al. Global trends in the incidence and mortality of asthma from 1990 to 2019: an age-period-cohort analysis using the global burden of disease study 2019. Front Public Heal. (2022):10. doi: 10.3389/fpubh.2022.1036674/full

Crossref Full Text | Google Scholar

56. Caffrey Osvald, E, Bower, H, Lundholm, C, Larsson, H, Brew, BK, and Almqvist, C. Asthma and all-cause mortality in children and young adults: a population-based study. Thorax. (2020) 75:1040–6. doi: 10.1136/thoraxjnl-2020-214655

PubMed Abstract | Crossref Full Text | Google Scholar

57. Soriano, JB, Abajobir, AA, Abate, KH, Abera, SF, Agrawal, A, Ahmed, MB, et al. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990–2015: a systematic analysis for the global burden of disease study 2015. Lancet Respir Med. (2017) 5:691–706. doi: 10.1016/S2213-2600(17)30293-X

PubMed Abstract | Crossref Full Text | Google Scholar

58. Huovinen, E, Kaprio, J, Vesterinen, E, and Koskenvuo, M. Mortality of adults with asthma: a prospective cohort study. Thorax. (1997) 52:49–54. doi: 10.1136/thx.52.1.49

PubMed Abstract | Crossref Full Text | Google Scholar

59. Soto-Campos, JG, Plaza, V, Soriano, JB, Cabrera-López, C, Almonacid-Sánchez, C, Vazquez-Oliva, R, et al. Causes of death in asthma, COPD and non-respiratory hospitalized patients: a multicentric study. BMC Pulm Med. (2013) 13:73. doi: 10.1186/1471-2466-13-73

PubMed Abstract | Crossref Full Text | Google Scholar

60. Yamasaki, A, Harada, T, Fukushima, T, Hashimoto, K, Takata, M, Kodani, M, et al. Causes of death in patients with asthma and asthma–chronic obstructive pulmonary disease overlap syndrome. Int J Chron Obstruct Pulmon Dis. (2015) 10:595. doi: 10.2147/COPD.S77491

Crossref Full Text | Google Scholar

61. Lemmetyinen, RE, Karjalainen, JV, But, A, Renkonen, RLO, Pekkanen, JR, Toppila-Salmi, SK, et al. Higher mortality of adults with asthma: a 15-year follow-up of a population-based cohort. Allergy. (2018) 73:1479–88. doi: 10.1111/all.13431

PubMed Abstract | Crossref Full Text | Google Scholar

62. Strand, LB, Tsai, MK, Wen, CP, Sen, CS, and Brumpton, BM. Is having asthma associated with an increased risk of dying from cardiovascular disease? A prospective cohort study of 446 346 Taiwanese adults. BMJ Open. (2018) 8:e019992. doi: 10.1136/bmjopen-2017-019992

PubMed Abstract | Crossref Full Text | Google Scholar

63. He, X, Cheng, G, He, L, Liao, B, Du, Y, Xie, X, et al. Adults with current asthma but not former asthma have higher all-cause and cardiovascular mortality: a population-based prospective cohort study. Sci Rep. (2021) 11:1329. doi: 10.1038/s41598-020-79264-4

PubMed Abstract | Crossref Full Text | Google Scholar

64. Zhang, B, Li, Z-F, An, Z-Y, Zhang, L, Wang, J-Y, Hao, M-D, et al. Association between asthma and all-cause mortality and cardiovascular disease morbidity and mortality: a meta-analysis of cohort studies. Front Cardiovasc Med. (2022) 9:861798. doi: 10.3389/fcvm.2022.861798/full

Crossref Full Text | Google Scholar

65. Krishnan, V, Diette, GB, Rand, CS, Bilderback, AL, Merriman, B, Hansel, NN, et al. Mortality in patients hospitalized for asthma exacerbations in the United States. Am J Respir Crit Care Med. (2006) 174:633–8. doi: 10.1164/rccm.200601-007OC

PubMed Abstract | Crossref Full Text | Google Scholar

66. Valderas, JM, Starfi, B, and Sibbald, B. Understanding health and health services. Ann Fam Med. (2009) 7:357–63. doi: 10.1370/afm.983

PubMed Abstract | Crossref Full Text | Google Scholar

67. Schatz, M, Zeiger, RS, Yang, SJ, Chen, W, Sajjan, S, Allen-Ramey, F, et al. Prospective study on the relationship of obesity to asthma impairment and risk. J Allergy Clin Immunol Pract. (2015) 3:560–565.e1. doi: 10.1016/j.jaip.2015.03.017

PubMed Abstract | Crossref Full Text | Google Scholar

68. Luthe, SK, Hirayama, A, Goto, T, Faridi, MK, Camargo, CA, and Hasegawa, K. Association between obesity and acute severity among patients hospitalized for asthma exacerbation. J Allergy Clin Immunol Pract. (2018) 6:1936–1941.e4. doi: 10.1016/j.jaip.2018.02.001

PubMed Abstract | Crossref Full Text | Google Scholar

69. Tay, TR, Radhakrishna, N, Hore-Lacy, F, Smith, C, Hoy, R, Dabscheck, E, et al. Comorbidities in difficult asthma are independent risk factors for frequent exacerbations, poor control and diminished quality of life. Theatr Res Int. (2016) 21:1384–90. doi: 10.1111/resp.12838

PubMed Abstract | Crossref Full Text | Google Scholar

70. Zhang, L, Zhang, X, Zheng, J, Wang, L, Zhang, H-P, Wang, L, et al. Co-morbid psychological dysfunction is associated with a higher risk of asthma exacerbations: a systematic review and meta-analysis. J Thorac Dis. (2016) 8:1257–68. doi: 10.21037/jtd.2016.04.68

PubMed Abstract | Crossref Full Text | Google Scholar

71. Berns, SH, Halm, EA, Sampson, HA, Sicherer, SH, Busse, PJ, and Wisnivesky, JP. Food allergy as a risk factor for asthma morbidity in adults. J Asthma. (2007) 44:377–81. doi: 10.1080/02770900701364031

Crossref Full Text | Google Scholar

72. Murphy, VE, Gibson, P, Talbot, PI, and Clifton, VL. Severe asthma exacerbations during pregnancy. Obstet Gynecol. (2005) 106:1046–54. doi: 10.1097/01.aog.0000185281.21716.02

Crossref Full Text | Google Scholar

73. Bokern, MP, Robijn, AL, Jensen, ME, Barker, D, Callaway, L, Clifton, V, et al. Factors associated with asthma exacerbations during pregnancy. J Allergy Clin Immunol Pract. (2021) 9:4343–4352.e4. doi: 10.1016/j.jaip.2021.07.055

PubMed Abstract | Crossref Full Text | Google Scholar

74. Huang, H-L, Ho, S-Y, Li, C-H, Chu, F-Y, Ciou, L-P, Lee, H-C, et al. Bronchial asthma is associated with increased risk of chronic kidney disease. BMC Pulm Med. (2014) 14:80. doi: 10.1186/1471-2466-14-80

PubMed Abstract | Crossref Full Text | Google Scholar

75. Adawy, Z, Mohamad-Saleh, R, and Ismail, TA-A. Is bronchial asthma a risk factor for chronic kidney disease? Al-Azhar Assiut Med J. (2017) 15:27. doi: 10.4103/AZMJ.AZMJ_13_17

Crossref Full Text | Google Scholar

76. Ehrlich, SF, Quesenberry, CP, Van Den Eeden, SK, Shan, J, and Ferrara, A. Patients diagnosed with diabetes are at increased risk for asthma, chronic obstructive pulmonary disease, pulmonary fibrosis, and pneumonia but not Lung Cancer. Diabetes Care. (2010) 33:55–60. doi: 10.2337/dc09-0880

PubMed Abstract | Crossref Full Text | Google Scholar

77. Hsiao, Y-T, Cheng, W-C, Liao, W-C, Lin, C-L, Shen, T-C, Chen, W-C, et al. Type 1 diabetes and increased risk of subsequent asthma. Medicine (Baltimore). (2015) 94:e1466. doi: 10.1097/MD.0000000000001466

PubMed Abstract | Crossref Full Text | Google Scholar

78. Wu, TD, Brigham, EP, Keet, CA, Brown, TT, Hansel, NN, and McCormack, MC. Association between prediabetes/diabetes and asthma exacerbations in a claims-based obese asthma cohort. J Allergy Clin Immunol Pract. (2019) 7:1868–1873.e5. doi: 10.1016/j.jaip.2019.02.029

PubMed Abstract | Crossref Full Text | Google Scholar

79. Lee, KH, and Lee, HS. Hypertension and diabetes mellitus as risk factors for asthma in Korean adults: the sixth Korea National Health and Nutrition Examination Survey. Int Health. (2020) 12:246–52. doi: 10.1093/inthealth/ihz067

PubMed Abstract | Crossref Full Text | Google Scholar

80. Engelkes, M, de Ridder, MA, Svensson, E, Berencsi, K, Prieto-Alhambra, D, Lapi, F, et al. Multinational cohort study of mortality in patients with asthma and severe asthma. Respir Med. (2020) 165:105919. doi: 10.1016/j.rmed.2020.105919

PubMed Abstract | Crossref Full Text | Google Scholar

81. Yang, G, Han, Y-Y, Forno, E, Yan, Q, Rosser, F, Chen, W, et al. Glycated hemoglobin A1c, lung function, and hospitalizations among adults with asthma. J Allergy Clin Immunol Pract. (2020) 8:3409–3415.e1. doi: 10.1016/j.jaip.2020.06.017

PubMed Abstract | Crossref Full Text | Google Scholar

82. Boffetta, P, Ye, W, Boman, G, and Nyrén, O. Lung cancer risk in a population-based cohort of patients hospitalized for asthma in Sweden. Eur Respir J. (2002) 19:127–33. doi: 10.1183/09031936.02.00245802

PubMed Abstract | Crossref Full Text | Google Scholar

83. Pelkonen, MK, Notkola, ILK, Laatikainen, TK, and Jousilahti, P. 30-year trends in asthma and the trends in relation to hospitalization and mortality. Respir Med. (2018) 142:29–35. doi: 10.1016/j.rmed.2018.07.012

PubMed Abstract | Crossref Full Text | Google Scholar

84. Kantor, ED, Hsu, M, Du, M, and Signorello, LB. Allergies and asthma in relation to cancer risk. Cancer Epidemiol Biomarkers Prev. (2019) 28:1395–403. doi: 10.1158/1055-9965.EPI-18-1330

PubMed Abstract | Crossref Full Text | Google Scholar

85. Beuther, DA, and Sutherland, ER. Overweight, obesity, and incident asthma. Am J Respir Crit Care Med. (2007) 175:661–6. doi: 10.1164/rccm.200611-1717OC

PubMed Abstract | Crossref Full Text | Google Scholar

86. Huang, HL, Huang, YJ, Chu, YC, Chen, CW, Yang, HC, Hwang, JS, et al. Exploring factors underlying poorly-controlled asthma in adults by integrating phenotypes and genotypes associated with obesity and asthma: a case-control study. J Asthma Allergy. (2023) 16:135–47. doi: 10.2147/JAA.S397067

PubMed Abstract | Crossref Full Text | Google Scholar

87. Rodrigo, GJ, and Plaza, V. Body mass index and response to emergency department treatment in adults with severe asthma exacerbations: a prospective cohort study. Chest. (2007) 132:1513–9. doi: 10.1378/chest.07-0936

PubMed Abstract | Crossref Full Text | Google Scholar

88. Sturesson, A, Hedman, L, Stridsman, C, Lindberg, A, Rönmark, E, and Backman, H. Obesity associates with increased all-cause and cardiovascular mortality in adults with asthma. Respir Med. (2023) 216:107301. doi: 10.1016/j.rmed.2023.107301

Crossref Full Text | Google Scholar

89. Ferguson, S, Teodorescu, MC, Gangnon, RE, Peterson, AG, Consens, FB, Chervin, RD, et al. Factors associated with systemic hypertension in asthma. Lung. (2014) 192:675–83. doi: 10.1007/s00408-014-9600-y

PubMed Abstract | Crossref Full Text | Google Scholar

90. Lin, J, Xing, B, Tang, H, Yang, L, Yuan, Y, Gu, Y, et al. Hospitalization due to asthma exacerbation: a China asthma research network (CARN) retrospective study in 29 provinces across mainland China. Allergy Asthma Immunol Res. (2020) 12:485–95. doi: 10.4168/aair.2020.12.3.485

PubMed Abstract | Crossref Full Text | Google Scholar

91. Di Raimondo, D, Musiari, G, Benfante, A, Battaglia, S, Rizzo, G, Tuttolomondo, A, et al. Prevalence of arterial hypertension and characteristics of nocturnal blood pressure profile of asthma patients according to therapy and severity of the disease: the BADA study. Int J Environ Res Public Health. (2020) 17:6925. doi: 10.3390/ijerph17186925

PubMed Abstract | Crossref Full Text | Google Scholar

92. Zghebi, SS, Mohamed, MO, Mamas, MA, and Kontopantelis, E. Temporal trends of hospitalizations, comorbidity burden and in-hospital outcomes in patients admitted with asthma in the United States: population-based study. PLoS One. (2022) 17:e0276731. doi: 10.1371/journal.pone.0276731

PubMed Abstract | Crossref Full Text | Google Scholar

93. Iribarren, C, Tolstykh, IV, Miller, MK, Sobel, E, and Eisner, MD. Adult asthma and risk of coronary heart disease, cerebrovascular disease, and heart failure: a prospective study of 2 matched cohorts. Am J Epidemiol. (2012) 176:1014–24. doi: 10.1093/aje/kws181

PubMed Abstract | Crossref Full Text | Google Scholar

94. Ingebrigtsen, TS, Marott, JL, Vestbo, J, Nordestgaard, BG, and Lange, P. Coronary heart disease and heart failure in asthma, COPD and asthma-COPD overlap. BMJ Open Respir Res. (2020) 7:e000470. doi: 10.1136/bmjresp-2019-000470

PubMed Abstract | Crossref Full Text | Google Scholar

95. Bikbov, B, Purcell, CA, Levey, AS, Smith, M, Abdoli, A, Abebe, M, et al. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. (2020) 395:709–33. doi: 10.1016/S0140-6736(20)30045-3

PubMed Abstract | Crossref Full Text | Google Scholar

96. Chou, C-Y, Wang, S-M, Liang, C-C, Chang, C-T, Liu, J-H, Wang, I-K, et al. Risk of pneumonia among patients with chronic kidney disease in outpatient and inpatient settings. Medicine (Baltimore). (2014) 93:e174. doi: 10.1097/MD.0000000000000174

PubMed Abstract | Crossref Full Text | Google Scholar

97. Tonelli, M, Wiebe, N, Guthrie, B, James, MT, Quan, H, Fortin, M, et al. Comorbidity as a driver of adverse outcomes in people with chronic kidney disease. Kidney Int. (2015) 88:859–66. doi: 10.1038/ki.2015.228

PubMed Abstract | Crossref Full Text | Google Scholar

98. Sweeney, J, Patterson, CC, Menzies-Gow, A, Niven, RM, Mansur, AH, Bucknall, C, et al. Comorbidity in severe asthma requiring systemic corticosteroid therapy: cross-sectional data from the optimum patient care research database and the British thoracic difficult asthma registry. Thorax. (2016) 71:339–46. doi: 10.1136/thoraxjnl-2015-207630

PubMed Abstract | Crossref Full Text | Google Scholar

99. Suleymanlar, G, Utas, C, Arinsoy, T, Ates, K, Altun, B, Altiparmak, MR, et al. A population-based survey of chronic REnal disease in Turkey--the CREDIT study. Nephrol Dial Transplant. (2011) 26:1862–71. doi: 10.1093/ndt/gfq656

PubMed Abstract | Crossref Full Text | Google Scholar

100. Chen, W, Liu, Q, Wang, H, Chen, W, Johnson, RJ, Dong, X, et al. Prevalence and risk factors of chronic kidney disease: a population study in the Tibetan population. Nephrol Dial Transplant. (2011) 26:1592–9. doi: 10.1093/ndt/gfq608

PubMed Abstract | Crossref Full Text | Google Scholar

101. Zelnick, LR, Weiss, NS, Kestenbaum, BR, Robinson-Cohen, C, Heagerty, PJ, Tuttle, K, et al. Diabetes and CKD in the United States population, 2009–2014. Clin J Am Soc Nephrol. (2017) 12:1984–90. doi: 10.2215/CJN.03700417

PubMed Abstract | Crossref Full Text | Google Scholar

102. Hsu, C, McCulloch, CE, Iribarren, C, Darbinian, J, and Go, AS. Body mass index and risk for end-stage renal disease. Ann Intern Med. (2006) 144:21. doi: 10.7326/0003-4819-144-1-200601030-00006

Crossref Full Text | Google Scholar

103. Liang, X, Ye, M, Tao, M, Zheng, D, Cai, R, Zhu, Y, et al. The association between dyslipidemia and the incidence of chronic kidney disease in the general Zhejiang population: a retrospective study. BMC Nephrol. (2020) 21:252. doi: 10.1186/s12882-020-01907-5

PubMed Abstract | Crossref Full Text | Google Scholar

104. Mebrahtu, TF, Morgan, AW, West, RM, Stewart, PM, and Pujades-Rodriguez, M. Oral glucocorticoids and incidence of hypertension in people with chronic inflammatory diseases: a population-based cohort study. Can Med Assoc J. (2020) 192:E295–301. doi: 10.1503/cmaj.191012

PubMed Abstract | Crossref Full Text | Google Scholar

105. Gulliford, MC, Charlton, J, and Latinovic, R. Risk of diabetes associated with prescribed glucocorticoids in a large population. Diabetes Care. (2006) 29:2728–9. doi: 10.2337/dc06-1499

Crossref Full Text | Google Scholar

106. Bloechliger, M, Reinau, D, Spoendlin, J, Chang, S-C, Kuhlbusch, K, Heaney, LG, et al. Adverse events profile of oral corticosteroids among asthma patients in the UK: cohort study with a nested case-control analysis. Respir Res. (2018) 19:75. doi: 10.1186/s12931-018-0742-y

PubMed Abstract | Crossref Full Text | Google Scholar

107. Liang, M, Xiong, L, Li, A, Zhou, J, Huang, Y, Huang, M, et al. The effectiveness and safety of corticosteroid therapy for IgA nephropathy with crescents: a prospective, randomized, controlled study. BMC Nephrol. (2022) 23:40. doi: 10.1186/s12882-022-02661-6

PubMed Abstract | Crossref Full Text | Google Scholar

108. Nakayama, M, Izumaru, K, Nagata, M, Ikeda, H, Nishida, K, Hasegawa, E, et al. The effect of low-dose corticosteroids on short- and long-term renal outcome in patients with cholesterol Crystal embolism. Ren Fail. (2011) 33:298–306. doi: 10.3109/0886022X.2011.560403

PubMed Abstract | Crossref Full Text | Google Scholar

109. Wouters, EFM, Reynaert, NL, Dentener, MA, and Vernooy, JHJ. Systemic and local inflammation in asthma and chronic obstructive pulmonary disease: is there a connection? Proc Am Thorac Soc. (2009) 6:638–47. doi: 10.1513/pats.200907-073DP

PubMed Abstract | Crossref Full Text | Google Scholar

110. Bousquet, J, Chanez, P, Lacoste, JY, Barnéon, G, Ghavanian, N, Enander, I, et al. Eosinophilic inflammation in asthma. N Engl J Med. (1990) 323:1033–9. doi: 10.1056/NEJM199010113231505

Crossref Full Text | Google Scholar

111. Tariq, A, Okamato, K, Tariq, A, Rosenberg, AZ, Soliman, KM, Ploth, DW, et al. Eosinophilia and risk of incident end stage kidney disease. BMC Nephrol. (2020) 21:14. doi: 10.1186/s12882-020-1685-3

PubMed Abstract | Crossref Full Text | Google Scholar

112. Backman, H, Jansson, S, Stridsman, C, Eriksson, B, Hedman, L, Eklund, B, et al. Severe asthma—a population study perspective. Clin Exp Allergy. (2019) 49:819–28. doi: 10.1111/cea.13378

PubMed Abstract | Crossref Full Text | Google Scholar

113. Moore, WC, Hastie, AT, Li, X, Li, H, Busse, WW, Jarjour, NN, et al. Sputum neutrophil counts are associated with more severe asthma phenotypes using cluster analysis. J Allergy Clin Immunol. (2014) 133:1557–1563.e5. doi: 10.1016/j.jaci.2013.10.011

PubMed Abstract | Crossref Full Text | Google Scholar

114. Zhang, R, Chen, J, Xiong, Y, Wang, L, Huang, X, Sun, T, et al. Increased neutrophil count is associated with the development of chronic kidney disease in patients with diabetes. J Diabetes. (2022) 14:442–54. doi: 10.1111/1753-0407.13292

PubMed Abstract | Crossref Full Text | Google Scholar

115. Yen, C-H, Wu, I-W, Lee, C-C, Hsu, K-H, Sun, C-Y, Chen, C-Y, et al. The prognostic value of peripheral total and differential leukocyte count in renal progression: a community-based study. PLoS One. (2021) 16:e0258210. doi: 10.1371/journal.pone.0258210

PubMed Abstract | Crossref Full Text | Google Scholar

116. Takemura, M, Matsumoto, H, Niimi, A, Ueda, T, Matsuoka, H, Yamaguchi, M, et al. High sensitivity C-reactive protein in asthma. Eur Respir J. (2006) 27:908–12. doi: 10.1183/09031936.06.00114405

Crossref Full Text | Google Scholar

117. Fox, ER, Benjamin, EJ, Sarpong, DF, Nagarajarao, H, Taylor, JK, Steffes, MW, et al. The relation of C – reactive protein to chronic kidney disease in African Americans: the Jackson heart study. BMC Nephrol. (2010) 11:1. doi: 10.1186/1471-2369-11-1

PubMed Abstract | Crossref Full Text | Google Scholar

118. Fujita, M, Ueki, S, Ito, W, Chiba, T, Takeda, M, Saito, N, et al. C-reactive protein levels in the serum of asthmatic patients. Ann Allergy Asthma Immunol. (2007) 99:48–53. doi: 10.1016/S1081-1206(10)60620-5

Crossref Full Text | Google Scholar

119. Adejumo, OA, Okaka, EI, Okwuonu, CG, Iyawe, IO, and Odujoko, OO. Serum C-reactive protein levels in pre-dialysis chronic kidney disease patients in southern Nigeria. Ghana Med J. (2016) 50:31–8. doi: 10.4314/gmj.v50i1.5

PubMed Abstract | Crossref Full Text | Google Scholar

120. American Diabetes Association. Diagnosis and classification of diabetes mellitus. Diabetes Care. (2013) 36:S67–74. doi: 10.2337/dc13-S067

PubMed Abstract | Crossref Full Text | Google Scholar

121. Deshpande, AD, Harris-Hayes, M, and Schootman, M. Epidemiology of diabetes and diabetes-related complications. Phys Ther. (2008) 88:1254–64. doi: 10.2522/ptj.20080020

PubMed Abstract | Crossref Full Text | Google Scholar

122. Safiri, S, Karamzad, N, Kaufman, JS, Bell, AW, Nejadghaderi, SA, Sullman, MJM, et al. Prevalence, deaths and disability-adjusted-life-years (DALYs) due to type 2 diabetes and its attributable risk factors in 204 countries and territories, 1990-2019: results from the global burden of disease study 2019. Front Endocrinol (Lausanne). (2022) 13:1–14. doi: 10.3389/fendo.2022.838027/full

Crossref Full Text | Google Scholar

123. Saeedi, P, Petersohn, I, Salpea, P, Malanda, B, Karuranga, S, Unwin, N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9th edition. Diabetes Res Clin Pract. (2019) 157:107843. doi: 10.1016/j.diabres.2019.107843

Crossref Full Text | Google Scholar

124. Cazzola, M, Calzetta, L, Bettoncelli, G, Novelli, L, Cricelli, C, and Rogliani, P. Asthma and comorbid medical illness. Eur Respir J. (2011) 38:42–9. doi: 10.1183/09031936.00140310

Crossref Full Text | Google Scholar

125. Nasreen, S, Wilk, P, Mullowney, T, and Karp, I. The effect of gestational diabetes mellitus on the risk of asthma in offspring. Ann Epidemiol. (2021) 57:7–13. doi: 10.1016/j.annepidem.2021.02.003

PubMed Abstract | Crossref Full Text | Google Scholar

126. Shah, CH, Reed, RM, Liang, Y, and Zafari, Z. Association between lung function and future risks of diabetes, asthma, myocardial infarction, hypertension and all-cause mortality. ERJ Open Res. (2021) 7:00178–2021. doi: 10.1183/23120541.00178-2021

PubMed Abstract | Crossref Full Text | Google Scholar

127. Kabeya, Y, Kato, K, Tomita, M, Katsuki, T, Oikawa, Y, and Shimada, A. Association of glycemic status with impaired lung function among Recipients of a health screening program: a cross-sectional study in Japanese adults. J Epidemiol. (2014) 24:410–6. doi: 10.2188/jea.JE20140016

PubMed Abstract | Crossref Full Text | Google Scholar

128. Baba, S, Takashima, T, Hirota, M, Kawashima, M, and Horikawa, E. Relationship between pulmonary function and elevated glycated hemoglobin levels in health checkups: a cross-sectional observational study in Japanese participants. J Epidemiol. (2017) 27:511–5. doi: 10.1016/j.je.2016.10.008

PubMed Abstract | Crossref Full Text | Google Scholar

129. Faul, JL, Wilson, SR, Chu, JW, Canfield, J, and Kuschner, WG. The effect of an inhaled corticosteroid on glucose control in type 2 diabetes. Clin Med Res. (2009) 7:14–20. doi: 10.3121/cmr.2009.824

PubMed Abstract | Crossref Full Text | Google Scholar

130. Suissa, S, Kezouh, A, and Ernst, P. Inhaled corticosteroids and the risks of diabetes onset and progression. Am J Med. (2010) 123:1001–6. doi: 10.1016/j.amjmed.2010.06.019

PubMed Abstract | Crossref Full Text | Google Scholar

131. Slatore, CG, Bryson, CL, and Au, DH. The association of inhaled corticosteroid use with serum glucose concentration in a large cohort. Am J Med. (2009) 122:472–8. doi: 10.1016/j.amjmed.2008.09.048

PubMed Abstract | Crossref Full Text | Google Scholar

132. O’Byrne, PM, Rennard, S, Gerstein, H, Radner, F, Peterson, S, Lindberg, B, et al. Risk of new onset diabetes mellitus in patients with asthma or COPD taking inhaled corticosteroids. Respir Med. (2012) 106:1487–93. doi: 10.1016/j.rmed.2012.07.011

Crossref Full Text | Google Scholar

133. Katsuyama, T, Sada, K-E, Namba, S, Watanabe, H, Katsuyama, E, Yamanari, T, et al. Risk factors for the development of glucocorticoid-induced diabetes mellitus. Diabetes Res Clin Pract. (2015) 108:273–9. doi: 10.1016/j.diabres.2015.02.010

PubMed Abstract | Crossref Full Text | Google Scholar

134. Hansen, KB, Vilsbøll, T, Bagger, JI, Holst, JJ, and Knop, FK. Reduced glucose tolerance and insulin resistance induced by steroid treatment, relative physical inactivity, and high-calorie diet impairs the incretin effect in healthy subjects. J Clin Endocrinol Metab. (2010) 95:3309–17. doi: 10.1210/jc.2010-0119

PubMed Abstract | Crossref Full Text | Google Scholar

135. Pagano, G, Cavallo-Perin, P, Cassader, M, Bruno, A, Ozzello, A, Masciola, P, et al. An in vivo and in vitro study of the mechanism of prednisone-induced insulin resistance in healthy subjects. J Clin Invest. (1983) 72:1814–20. doi: 10.1172/JCI111141

PubMed Abstract | Crossref Full Text | Google Scholar

136. Delaunay, F, Khan, A, Cintra, A, Davani, B, Ling, ZC, Andersson, A, et al. Pancreatic beta cells are important targets for the diabetogenic effects of glucocorticoids. J Clin Invest. (1997) 100:2094–8. doi: 10.1172/JCI119743

PubMed Abstract | Crossref Full Text | Google Scholar

137. Foer, D, Beeler, PE, Cui, J, Karlson, EW, Bates, DW, and Cahill, KN. Asthma exacerbations in patients with type 2 diabetes and asthma on glucagon-like Peptide-1 receptor agonists. Am J Respir Crit Care Med. (2021) 203:831–40. doi: 10.1164/rccm.202004-0993OC

PubMed Abstract | Crossref Full Text | Google Scholar

138. Li, C-Y, Erickson, SR, and Wu, C-H. Metformin use and asthma outcomes among patients with concurrent asthma and diabetes. Theatr Res Int. (2016) 21:1210–8. doi: 10.1111/resp.12818

PubMed Abstract | Crossref Full Text | Google Scholar

139. Wu, TD, Keet, CA, Fawzy, A, Segal, JB, Brigham, EP, and McCormack, MC. Association of metformin initiation and risk of asthma exacerbation. A claims-based cohort study. Ann Am Thorac Soc. (2019) 16:1527–33. doi: 10.1513/AnnalsATS.201812-897OC

PubMed Abstract | Crossref Full Text | Google Scholar

140. Dandona, P, Ghanim, H, Monte, SV, Caruana, JA, Green, K, Abuaysheh, S, et al. Increase in the mediators of asthma in obesity and obesity with type 2 diabetes: reduction with weight loss. Obesity. (2014) 22:356–62. doi: 10.1002/oby.20524

PubMed Abstract | Crossref Full Text | Google Scholar

141. Chatila, TA. Interleukin-4 receptor signaling pathways in asthma pathogenesis. Trends Mol Med. (2004) 10:493–9. doi: 10.1016/j.molmed.2004.08.004

Crossref Full Text | Google Scholar

142. Sung, H, Ferlay, J, Siegel, RL, Laversanne, M, Soerjomataram, I, Jemal, A, et al. Global Cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. (2021) 71:209–49. doi: 10.3322/caac.21660

PubMed Abstract | Crossref Full Text | Google Scholar

143. Brenner, AV, Wang, Z, Kleinerman, RA, Wang, L, Zhang, S, Metayer, C, et al. Previous pulmonary diseases and risk of lung cancer in Gansu Province, China. Int J Epidemiol. (2001) 30:118–24. doi: 10.1093/ije/30.1.118

Crossref Full Text | Google Scholar

144. Ji, J, Shu, X, Li, X, Sundquist, K, Sundquist, J, and Hemminki, K. Cancer risk in hospitalised asthma patients. Br J Cancer. (2009) 100:829–33. doi: 10.1038/sj.bjc.6604890

PubMed Abstract | Crossref Full Text | Google Scholar

145. Littman, AJ, Thornquist, MD, White, E, Jackson, LA, Goodman, GE, and Vaughan, TL. Prior lung disease and risk of lung cancer in a large prospective study. Cancer Causes Control. (2004) 15:819–27. doi: 10.1023/B:CACO.0000043432.71626.45

PubMed Abstract | Crossref Full Text | Google Scholar

146. González-Pérez, A, Fernández-Vidaurre, C, Rueda, A, Rivero, E, and García Rodríguez, LA. Cancer incidence in a general population of asthma patients. Pharmacoepidemiol Drug Saf. (2006) 15:131–8. doi: 10.1002/pds.1163

PubMed Abstract | Crossref Full Text | Google Scholar

147. Pirie, K, Peto, R, Green, J, Reeves, GK, and Beral, V. Lung cancer in never smokers in the UK million women study. Int J Cancer. (2016) 139:347–54. doi: 10.1002/ijc.30084

PubMed Abstract | Crossref Full Text | Google Scholar

148. Woo, A, Lee, SW, Koh, HY, Kim, MA, Han, MY, and Yon, DK. Incidence of cancer after asthma development: 2 independent population-based cohort studies. J Allergy Clin Immunol. (2021) 147:135–43. doi: 10.1016/j.jaci.2020.04.041

PubMed Abstract | Crossref Full Text | Google Scholar

149. Jiang, L, Sun, Y-Q, Langhammer, A, Brumpton, BM, Chen, Y, Il, NT, et al. Asthma and asthma symptom control in relation to incidence of lung cancer in the HUNT study. Sci Rep. (2021) 11:4539. doi: 10.1038/s41598-021-84012-3

Crossref Full Text | Google Scholar

150. Çolak, Y, Afzal, S, Nordestgaard, BG, and Lange, P. Characteristics and prognosis of never-smokers and smokers with asthma in the Copenhagen general population study. A prospective cohort study. Am J Respir Crit Care Med. (2015) 192:172–81. doi: 10.1164/rccm.201502-0302OC

PubMed Abstract | Crossref Full Text | Google Scholar

151. Huang, J-Y, Jian, Z-H, Nfor, ON, Ku, W-Y, Ko, P-C, Lung, C-C, et al. The effects of pulmonary diseases on histologic types of lung cancer in both sexes: a population-based study in Taiwan. BMC Cancer. (2015) 15:834. doi: 10.1186/s12885-015-1847-z

PubMed Abstract | Crossref Full Text | Google Scholar

152. Hsieh, C-H, Wang, C-H, Kuo, H-P, and Lee, K-Y. Asthma control in asthmatic patients treated for lung cancer. Chang Gung Med J. (2011) 34:35–43.

Google Scholar

153. Geng, Y, Wang, J, Jing, H, Wang, HW, and Bao, YX. Inhibitory effect of dexamethasone on Lewis mice lung cancer cells. Genet Mol Res. (2014) 13:6827–36. doi: 10.4238/2014.August.29.4

PubMed Abstract | Crossref Full Text | Google Scholar

154. Vesterinen, E, Karjalainen, S, Timonen, T, Pukkala, E, and Hakulinen, T. Survival rates in lung cancer patients with and without bronchial asthma. Acta Oncol (Madr). (1993) 32:517–20. doi: 10.3109/02841869309096110

Crossref Full Text | Google Scholar

155. Wang, I-J, Liang, W-M, Wu, T-N, Karmaus, WJ, and Hsu, J-C. Inhaled corticosteroids may prevent lung cancer in asthma patients. Ann Thorac Med. (2018) 13:156. doi: 10.4103/atm.ATM_367_17

Crossref Full Text | Google Scholar

156. Raymakers, AJN, Sadatsafavi, M, Sin, DD, FitzGerald, JM, Marra, CA, and Lynd, LD. Inhaled corticosteroids and the risk of lung cancer in COPD: a population-based cohort study. Eur Respir J. (2019) 53:1801257. doi: 10.1183/13993003.01257-2018

PubMed Abstract | Crossref Full Text | Google Scholar

157. Barton, AK, Shety, T, Bondzio, A, Einspanier, R, and Gehlen, H. Metalloproteinases and their inhibitors are influenced by inhalative glucocorticoid therapy in combination with environmental dust reduction in equine recurrent airway obstruction. BMC Vet Res. (2016) 12:282–9. doi: 10.1186/s12917-016-0915-1

PubMed Abstract | Crossref Full Text | Google Scholar

158. Kessenbrock, K, Plaks, V, and Werb, Z. Matrix metalloproteinases: regulators of the tumor microenvironment. Cell. (2010) 141:52–67. doi: 10.1016/j.cell.2010.03.015

PubMed Abstract | Crossref Full Text | Google Scholar

159. Lim, M, and Jablons, DM. Matrix metalloproteinase expression in lung cancer In: B Driscoll, editor. Lung cancer. New Jersey: Humana Press (2003). 349–56.

Google Scholar

160. Han, L, Sheng, B, Zeng, Q, Yao, W, and Jiang, Q. Correlation between MMP2 expression in lung cancer tissues and clinical parameters: a retrospective clinical analysis. BMC Pulm Med. (2020) 20:283. doi: 10.1186/s12890-020-01317-1

PubMed Abstract | Crossref Full Text | Google Scholar

161. Uemura, T, Fukumitsu, K, Maeno, K, Fukuda, S, Onuki, T, Kanemitsu, Y, et al. Asthma caused by durvalumab after chemoradiotherapy in two patients with non-small cell lung cancer. Respirol Case Reports. (2021) 9:e0835–5. doi: 10.1002/rcr2.835

PubMed Abstract | Crossref Full Text | Google Scholar

162. Antonia, SJ, Villegas, A, Daniel, D, Vicente, D, Murakami, S, Hui, R, et al. Durvalumab after chemoradiotherapy in stage III non–small-cell Lung Cancer. N Engl J Med. (2017) 377:1919–29. doi: 10.1056/NEJMoa1709937

Crossref Full Text | Google Scholar

163. Crohns, M, Saarelainen, S, Laine, S, Poussa, T, Alho, H, and Kellokumpu-Lehtinen, P. Cytokines in bronchoalveolar lavage fluid and serum of lung cancer patients during radiotherapy – association of interleukin-8 and VEGF with survival. Cytokine. (2010) 50:30–6. doi: 10.1016/j.cyto.2009.11.017

PubMed Abstract | Crossref Full Text | Google Scholar

164. Ellsworth, SG, Rabatic, BM, Chen, J, Zhao, J, Campbell, J, Wang, W, et al. Principal component analysis identifies patterns of cytokine expression in non-small cell lung cancer patients undergoing definitive radiation therapy. PLoS One. (2017) 12:e0183239. doi: 10.1371/journal.pone.0183239

Crossref Full Text | Google Scholar

165. Chong, B, Jayabaskaran, J, Kong, G, Chan, YH, Chin, YH, Goh, R, et al. Trends and predictions of malnutrition and obesity in 204 countries and territories: an analysis of the global burden of disease study 2019. eClinicalMedicine. (2023) 57:101850. doi: 10.1016/j.eclinm.2023.101850

Crossref Full Text | Google Scholar

166. Hecker, J, Freijer, K, Hiligsmann, M, and Evers, SMAA. Burden of disease study of overweight and obesity; the societal impact in terms of cost-of-illness and health-related quality of life. BMC Public Health. (2022) 22:46. doi: 10.1186/s12889-021-12449-2

PubMed Abstract | Crossref Full Text | Google Scholar

167. Cawley, J, Biener, A, Meyerhoefer, C, Ding, Y, Zvenyach, T, Smolarz, BG, et al. Direct medical costs of obesity in the United States and the most populous states. J Manag Care Spec Pharm. (2021) 27:354–66. doi: 10.18553/jmcp.2021.20410

PubMed Abstract | Crossref Full Text | Google Scholar

168. Ward, ZJ, Willett, WC, Hu, FB, Pacheco, LS, Long, MW, and Gortmaker, SL. Excess mortality associated with elevated body weight in the USA by state and demographic subgroup: a modelling study. eClinicalMedicine. (2022) 48:101429. doi: 10.1016/j.eclinm.2022.101429

PubMed Abstract | Crossref Full Text | Google Scholar

169. Barros, R, Moreira, P, Padrão, P, Teixeira, VH, Carvalho, P, Delgado, L, et al. Obesity increases the prevalence and the incidence of asthma and worsens asthma severity. Clin Nutr. (2017) 36:1068–74. doi: 10.1016/j.clnu.2016.06.023

PubMed Abstract | Crossref Full Text | Google Scholar

170. Jiang, D, Wang, L, Bai, C, and Chen, O. Association between abdominal obesity and asthma: a meta-analysis. Allergy Asthma Clin Immunol. (2019) 15:16–1. doi: 10.1186/s13223-019-0333-6

PubMed Abstract | Crossref Full Text | Google Scholar

171. Moitra, S, Carsin, A-E, Abramson, MJ, Accordini, S, Amaral, AFS, Anto, J, et al. Long-term effect of asthma on the development of obesity among adults: an international cohort study, ECRHS. Thorax. (2023) 78:128–35. doi: 10.1136/thoraxjnl-2021-217867

Crossref Full Text | Google Scholar

172. Shan, L-S, Zhou, Q-L, and Shang, Y-X. Bidirectional association between asthma and obesity during childhood and adolescence: a systematic review and meta-analysis. Front Pediatr. (2020) 8:576858. doi: 10.3389/fped.2020.576858

PubMed Abstract | Crossref Full Text | Google Scholar

173. Deng, X, Ma, J, Yuan, Y, Zhang, Z, and Niu, W. Association between overweight or obesity and the risk for childhood asthma and wheeze: an updated meta-analysis on 18 articles and 73 252 children. Pediatr Obes. (2019) 14:e12532. doi: 10.1111/ijpo.12532

Crossref Full Text | Google Scholar

174. Irani, C, Adib, S, Halaby, G, and Sibai, A. Obesity/overweight and asthma control in LEBANESE adults: a cross-sectional study. BMC Public Health. (2019) 19:769. doi: 10.1186/s12889-019-7116-3

PubMed Abstract | Crossref Full Text | Google Scholar

175. Abrahamsen, R, Gundersen, GF, Svendsen, MV, Klepaker, G, Kongerud, J, and Fell, AKM. Possible risk factors for poor asthma control assessed in a cross-sectional population-based study from Telemark, Norway. PLoS One. (2020) 15:e0232621. doi: 10.1371/journal.pone.0232621

PubMed Abstract | Crossref Full Text | Google Scholar

176. Bal, C, Pohl, W, Milger, K, Skowasch, D, Schulz, C, Gappa, M, et al. Characterization of obesity in severe asthma in the German asthma net. J Allergy Clin Immunol Pract. (2023) 11:3417–3424.e3. doi: 10.1016/j.jaip.2023.06.049

PubMed Abstract | Crossref Full Text | Google Scholar

177. Ilmarinen, P, Pardo, A, Tuomisto, LE, Vähätalo, I, Niemelä, O, Nieminen, P, et al. Long-term prognosis of new adult-onset asthma in obese patients. Eur Respir J Suppl. (2021) 57:2001209. doi: 10.1183/13993003.01209-2020

PubMed Abstract | Crossref Full Text | Google Scholar

178. Thompson, CA, Eslick, SR, Berthon, BS, and Wood, LG. Asthma medication use in obese and healthy weight asthma: systematic review/meta-analysis. Eur Respir J. (2021) 57:2000612. doi: 10.1183/13993003.00612-2020

PubMed Abstract | Crossref Full Text | Google Scholar

179. Boulet, L-P, and Franssen, E. Influence of obesity on response to fluticasone with or without salmeterol in moderate asthma. Respir Med. (2007) 101:2240–7. doi: 10.1016/j.rmed.2007.06.031

Crossref Full Text | Google Scholar

180. To, M, Hitani, A, Kono, Y, Honda, N, Kano, I, Haruki, K, et al. Obesity-associated severe asthma in an adult Japanese population. Respir Investig. (2018) 56:440–7. doi: 10.1016/j.resinv.2018.07.003

PubMed Abstract | Crossref Full Text | Google Scholar

181. Hasegawa, K, Tsugawa, Y, Lopez, BL, Smithline, HA, Sullivan, AF, and Camargo, CA. Body mass index and risk of hospitalization among adults presenting with asthma exacerbation to the emergency department. Ann Am Thorac Soc. (2014) 11:1439–44. doi: 10.1513/AnnalsATS.201406-270BC

PubMed Abstract | Crossref Full Text | Google Scholar

182. Forno, E, Han, Y-Y, Mullen, J, and Celedón, JC. Overweight, obesity, and lung function in children and adults—a meta-analysis. J Allergy Clin Immunol Pract. (2018) 6:570–581.e10. doi: 10.1016/j.jaip.2017.07.010

Crossref Full Text | Google Scholar

183. Huang, Y-J, Chu, Y-C, Huang, H-L, Hwang, J-S, and Chan, T-C. The effects of asthma on the association between pulmonary function and obesity: a 16-year longitudinal study. J Asthma Allergy. (2021) 14:347–59. doi: 10.2147/JAA.S299186

PubMed Abstract | Crossref Full Text | Google Scholar

184. Banerjee, J. Association of body mass index (BMI) with lung function parameters in non-asthmatics identified by spirometric protocols. J Clin Diagn Res. (2014) 8:12–4. doi: 10.7860/JCDR/2014/7306.3993

Crossref Full Text | Google Scholar

185. Kasteleyn, MJ, Bonten, TN, de Mutsert, R, Thijs, W, Hiemstra, PS, le Cessie, S, et al. Pulmonary function, exhaled nitric oxide and symptoms in asthma patients with obesity: a cross-sectional study. Respir Res. (2017) 18:205. doi: 10.1186/s12931-017-0684-9

PubMed Abstract | Crossref Full Text | Google Scholar

186. Barón, NB, Kankaanranta, H, Hedman, L, Andersson, M, Stridsman, C, Lindberg, A, et al. BMI increase – a risk factor for FEV1 decline for overweight and obese adults with asthma. ERJ Open Res. (2022) 8:110–2022. doi: 10.1183/23120541.00110-2022

Crossref Full Text | Google Scholar

187. Scott, HA, Ng, SHM, McLoughlin, RF, Valkenborghs, SR, Nair, P, Brown, AC, et al. Effect of obesity on airway and systemic inflammation in adults with asthma: a systematic review and meta-analysis. Thorax. (2023) 78:957–65. doi: 10.1136/thorax-2022-219268

Crossref Full Text | Google Scholar

188. Canöz, M, Erdenen, F, Uzun, H, Müderrisoglu, C, and Aydin, S. The relationship of inflammatory cytokines with asthma and obesity. Clin Investig Med. (2008) 31:373. doi: 10.25011/cim.v31i6.4924

Crossref Full Text | Google Scholar

189. Khan, UI, Rastogi, D, Isasi, CR, and Coupey, SM. Independent and synergistic associations of asthma and obesity with systemic inflammation in adolescents. J Asthma. (2012) 49:1044–50. doi: 10.3109/02770903.2012.728271

PubMed Abstract | Crossref Full Text | Google Scholar

190. Sutherland, TJT, Cowan, JO, Young, S, Goulding, A, Grant, AM, Williamson, A, et al. The association between obesity and asthma. Am J Respir Crit Care Med. (2008) 178:469–75. doi: 10.1164/rccm.200802-301OC

Crossref Full Text | Google Scholar

191. Abdul Wahab, A, Maarafiya, MM, Soliman, A, Younes, NBM, and Chandra, P. Serum leptin and adiponectin levels in obese and nonobese asthmatic school children in relation to asthma control. J Allergy. (2013) 2013:1–6. doi: 10.1155/2013/654104

PubMed Abstract | Crossref Full Text | Google Scholar

192. Salah, A, Ragab, M, Mansour, W, and Taher, M. Leptin and adiponectin are valuable serum markers explaining obesity/bronchial asthma interrelationship. Egypt J Chest Dis Tuberc. (2015) 64:529–33. doi: 10.1016/j.ejcdt.2015.02.012

Crossref Full Text | Google Scholar

193. Lampalo, M, Ferara, N, Jukić, I, Štajduhar, A, Barišić, B, Samaržija, M, et al. Blood neutrophils correlate with obesity in asmatic patients. Eur Respir J. (2019) 54:PA4274. doi: 10.1183/13993003.congress-2019.PA4274

Crossref Full Text | Google Scholar

194. Rhee, H, Love, T, and Harrington, D. Blood neutrophil count is associated with body mass index in adolescents with asthma. JSM Allergy Asthma. (2018) 3:1–7.

Google Scholar

195. Sharma, A, Lavie, CJ, Borer, JS, Vallakati, A, Goel, S, Lopez-Jimenez, F, et al. Meta-analysis of the relation of body mass index to all-cause and cardiovascular mortality and hospitalization in patients with chronic heart failure. Am J Cardiol. (2015) 115:1428–34. doi: 10.1016/j.amjcard.2015.02.024

PubMed Abstract | Crossref Full Text | Google Scholar

196. Curtis, JP, Selter, JG, Wang, Y, Rathore, SS, Jovin, IS, Jadbabaie, F, et al. The obesity paradox: body mass index and outcomes in patients with heart failure. Arch Intern Med. (2005) 165:55–61. doi: 10.1001/archinte.165.1.55

Crossref Full Text | Google Scholar

197. Mandviwala, TM, Basra, SS, Khalid, U, Pickett, JK, Przybylowicz, R, Shah, T, et al. Obesity and the paradox of mortality and heart failure hospitalization in heart failure with preserved ejection fraction. Int J Obes. (2020) 44:1561–7. doi: 10.1038/s41366-020-0563-1

PubMed Abstract | Crossref Full Text | Google Scholar

198. Oreopoulos, A, Padwal, R, Kalantar-Zadeh, K, Fonarow, GC, Norris, CM, and McAlister, FA. Body mass index and mortality in heart failure: a meta-analysis. Am Heart J. (2008) 156:13–22. doi: 10.1016/j.ahj.2008.02.014

Crossref Full Text | Google Scholar

199. Ladhani, M, Craig, JC, Irving, M, Clayton, PA, and Wong, G. Obesity and the risk of cardiovascular and all-cause mortality in chronic kidney disease: a systematic review and meta-analysis. Nephrol Dial Transplant. (2017) 32:gfw075–49. doi: 10.1093/ndt/gfw075

PubMed Abstract | Crossref Full Text | Google Scholar

200. Park, J, Jin, DC, Molnar, MZ, Dukkipati, R, Kim, Y-L, Jing, J, et al. Mortality predictability of body size and muscle mass surrogates in Asian vs White and African American hemodialysis patients. Mayo Clin Proc. (2013) 88:479–86. doi: 10.1016/j.mayocp.2013.01.025

PubMed Abstract | Crossref Full Text | Google Scholar

201. Mohebi, R, Simforoosh, A, Tohidi, M, Azizi, F, and Hadaegh, F. Obesity paradox and risk of mortality events in chronic kidney disease patients: a decade of follow-up in Tehran lipid and glucose study. J Ren Nutr. (2015) 25:345–50. doi: 10.1053/j.jrn.2014.12.006

PubMed Abstract | Crossref Full Text | Google Scholar

202. Kumakura, H, Kanai, H, Aizaki, M, Mitsui, K, Araki, Y, Kasama, S, et al. The influence of the obesity paradox and chronic kidney disease on long-term survival in a Japanese cohort with peripheral arterial disease. J Vasc Surg. (2010) 52:110–7. doi: 10.1016/j.jvs.2010.02.008

PubMed Abstract | Crossref Full Text | Google Scholar

203. Neeland, IJ, Das, SR, Simon, DN, Diercks, DB, Alexander, KP, Wang, TY, et al. The obesity paradox, extreme obesity, and long-term outcomes in older adults with ST-segment elevation myocardial infarction: results from the NCDR. Eur Hear J Qual Care Clin Outcomes. (2017) 3:183–91. doi: 10.1093/ehjqcco/qcx010

PubMed Abstract | Crossref Full Text | Google Scholar

204. Kanic, V, Vollrath, M, Frank, B, and Kanic, Z. An obesity paradox in patients with myocardial infarction undergoing percutaneous intervention. NMCD. (2021) 31:127–36. doi: 10.1016/j.numecd.2020.08.024

PubMed Abstract | Crossref Full Text | Google Scholar

205. Keller, K, Münzel, T, and Ostad, MA. Sex-specific differences in mortality and the obesity paradox of patients with myocardial infarction ages >70 y. Nutrition. (2018) 46:124–30. doi: 10.1016/j.nut.2017.09.004

PubMed Abstract | Crossref Full Text | Google Scholar

206. Liu, S-H, Lin, Y-Z, Han, S, and Jin, Y-Z. The obesity paradox in ST-segment elevation myocardial infarction patients: a meta-analysis. Ann Noninvasive Electrocardiol. (2023) 28:e13022. doi: 10.1111/anec.13022

PubMed Abstract | Crossref Full Text | Google Scholar

207. Yang, R, Cheung, MC, Pedroso, FE, Byrne, MM, Koniaris, LG, and Zimmers, TA. Obesity and weight loss at presentation of lung cancer are associated with opposite effects on survival. J Surg Res. (2011) 170:e75–83. doi: 10.1016/j.jss.2011.04.061

PubMed Abstract | Crossref Full Text | Google Scholar

208. Li, S, Wang, Z, Huang, J, Fan, J, Du, H, Liu, L, et al. Systematic review of prognostic roles of body mass index for patients undergoing lung cancer surgery: does the ‘obesity paradox’ really exist? Eur J Cardio-Thoracic Surg. (2017) 51:ezw386–28. doi: 10.1093/ejcts/ezw386

PubMed Abstract | Crossref Full Text | Google Scholar

209. Kichenadasse, G, Miners, JO, Mangoni, AA, Rowland, A, Hopkins, AM, and Sorich, MJ. Association between body mass index and overall survival with immune checkpoint inhibitor therapy for advanced non-small cell lung cancer. JAMA Oncol. (2020) 6:512–8. doi: 10.1001/jamaoncol.2019.5241

PubMed Abstract | Crossref Full Text | Google Scholar

210. Wu, TD, Ejike, CO, Wise, RA, McCormack, MC, and Brigham, EP. Investigation of the obesity paradox in chronic obstructive pulmonary disease, according to smoking status, in the United States. Am J Epidemiol. (2019) 188:1977–83. doi: 10.1093/aje/kwz185

PubMed Abstract | Crossref Full Text | Google Scholar

211. Brigham, EP, Anderson, JA, Brook, RD, Calverley, PMA, Celli, BR, Cowans, NJ, et al. Challenging the obesity paradox: extreme obesity and COPD mortality in the SUMMIT trial. ERJ Open Res. (2021) 7:00902–2020. doi: 10.1183/23120541.00902-2020

Crossref Full Text | Google Scholar

212. Yamauchi, Y, Hasegawa, W, Yasunaga, H, Sunohara, M, Jo, T, Takami, K, et al. Paradoxical association between body mass index and in-hospital mortality in elderly patients with chronic obstructive pulmonary disease in Japan. Int J Chron Obstruct Pulmon Dis. (2014) 9:1337–46. doi: 10.2147/COPD.S75175

PubMed Abstract | Crossref Full Text | Google Scholar

213. Yano, C, Kawayama, T, Kinoshita, T, Tokunaga, Y, Sasaki, J, Sakazaki, Y, et al. Overweight improves long-term survival in Japanese patients with asthma. Allergol Int. (2021) 70:201–7. doi: 10.1016/j.alit.2020.09.009

PubMed Abstract | Crossref Full Text | Google Scholar

214. Roth, GA, Mensah, GA, Johnson, CO, Addolorato, G, Ammirati, E, Baddour, LM, et al. Global burden of cardiovascular diseases and risk factors, 1990–2019. J Am Coll Cardiol. (2020) 76:2982–3021. doi: 10.1016/j.jacc.2020.11.010

PubMed Abstract | Crossref Full Text | Google Scholar

215. Li, Z, Lin, L, Wu, H, Yan, L, Wang, H, Yang, H, et al. Global, regional, and National Death, and disability-adjusted life-years (DALYs) for cardiovascular disease in 2017 and trends and risk analysis from 1990 to 2017 using the global burden of disease study and implications for prevention. Front Public Health. (2021) 9:559751. doi: 10.3389/fpubh.2021.559751

PubMed Abstract | Crossref Full Text | Google Scholar

216. Dunlay, SM, Weston, SA, Jacobsen, SJ, and Roger, VL. Risk factors for heart failure: a population-based case-control study. Am J Med. (2009) 122:1023–8. doi: 10.1016/j.amjmed.2009.04.022

PubMed Abstract | Crossref Full Text | Google Scholar

217. Yang, H, Negishi, K, Otahal, P, and Marwick, TH. Clinical prediction of incident heart failure risk: a systematic review and meta-analysis. Open Hear. (2015) 2:e000222. doi: 10.1136/openhrt-2014-000222

PubMed Abstract | Crossref Full Text | Google Scholar

218. Li, A, Ji, Y, Zhu, S, Hu, Z, Xu, X, Wang, Y, et al. Risk probability and influencing factors of stroke in followed-up hypertension patients. BMC Cardiovasc Disord. (2022) 22:328. doi: 10.1186/s12872-022-02780-w

PubMed Abstract | Crossref Full Text | Google Scholar

219. Shah, TG, Sutaria, JM, and Vyas, MV. The association between pulmonary hypertension and stroke: a systematic review and meta-analysis. Int J Cardiol. (2019) 295:21–4. doi: 10.1016/j.ijcard.2019.07.085

Crossref Full Text | Google Scholar

220. Razo, C, Welgan, CA, Johnson, CO, McLaughlin, SA, Iannucci, V, Rodgers, A, et al. Effects of elevated systolic blood pressure on ischemic heart disease: a burden of proof study. Nat Med. (2022) 28:2056–65. doi: 10.1038/s41591-022-01974-1

PubMed Abstract | Crossref Full Text | Google Scholar

221. Kearney, PM, Whelton, M, Reynolds, K, Muntner, P, Whelton, PK, and He, J. Global burden of hypertension: analysis of worldwide data. Lancet. (2005) 365:217–23. doi: 10.1016/S0140-6736(05)17741-1

Crossref Full Text | Google Scholar

222. Kauppi, P, Linna, M, Jantunen, J, Martikainen, JE, Haahtela, T, Pelkonen, A, et al. Chronic comorbidities contribute to the burden and costs of persistent asthma. Mediators Inflamm. (2015) 2015:1–7. doi: 10.1155/2015/819194

PubMed Abstract | Crossref Full Text | Google Scholar

223. Pollevick, ME, Xu, KY, Mhango, G, Federmann, EG, Vedanthan, R, Busse, P, et al. The relationship between asthma and cardiovascular disease: an examination of the Framingham offspring study. Chest. (2021) 159:1338–45. doi: 10.1016/j.chest.2020.11.053

PubMed Abstract | Crossref Full Text | Google Scholar

224. Dogra, S, Ardern, CI, and Baker, J. The relationship between age of asthma onset and cardiovascular disease in Canadians. J Asthma. (2007) 44:849–54. doi: 10.1080/02770900701752391

PubMed Abstract | Crossref Full Text | Google Scholar

225. Chung, W-S, Lin, C-L, Ho, F-M, Li, R-Y, Sung, F-C, Kao, C-H, et al. Asthma increases pulmonary thromboembolism risk: a nationwide population cohort study. Eur Respir J. (2014) 43:801–7. doi: 10.1183/09031936.00043313

Crossref Full Text | Google Scholar

226. Zöller, B, Pirouzifard, M, Memon, AA, Sundquist, J, and Sundquist, K. Risk of pulmonary embolism and deep venous thrombosis in patients with asthma: a nationwide case−control study from Sweden. Eur Respir J. (2017) 49:1601014. doi: 10.1183/13993003.01014-2016

Crossref Full Text | Google Scholar

227. Wen, L, Ni, H, Li, K, Yang, H, Cheng, J, Wang, X, et al. Asthma and risk of stroke: a systematic review and meta-analysis. J Stroke Cerebrovasc Dis. (2016) 25:497–503. doi: 10.1016/j.jstrokecerebrovasdis.2015.11.030

PubMed Abstract | Crossref Full Text | Google Scholar

228. Yao, C-W, Shen, T-C, Lu, C-R, Wang, Y-C, Lin, C-L, Tu, C-Y, et al. Asthma is associated with a subsequent risk of peripheral artery disease. Medicine (Baltimore). (2016) 95:e2546. doi: 10.1097/MD.0000000000002546

PubMed Abstract | Crossref Full Text | Google Scholar

229. Lee, HM, Truong, ST, and Wong, ND. Association of adult-onset asthma with specific cardiovascular conditions. Respir Med. (2012) 106:948–53. doi: 10.1016/j.rmed.2012.02.017

PubMed Abstract | Crossref Full Text | Google Scholar

230. Liu, H, Fu, Y, and Wang, K. Asthma and risk of coronary heart disease: a meta-analysis of cohort studies. Ann Allergy Asthma Immunol. (2017) 118:689–95. doi: 10.1016/j.anai.2017.03.012

Crossref Full Text | Google Scholar

231. Schanen, JG. Asthma and incident cardiovascular disease: the atherosclerosis risk in communities study. Thorax. (2005) 60:633–8. doi: 10.1136/thx.2004.026484

PubMed Abstract | Crossref Full Text | Google Scholar

232. Fang, Z-H, Li, Z-F, An, Z-Y, Huang, S-C, Hao, M-D, and Zhang, W-X. Meta-analysis of the association between asthma and the risk of stroke. Front Neurol. (2022) 13:900438. doi: 10.3389/fneur.2022.900438

PubMed Abstract | Crossref Full Text | Google Scholar

233. Cepelis, A, Brumpton, BM, Laugsand, LE, Langhammer, A, Janszky, I, and Strand, LB. Asthma, asthma control and risk of ischemic stroke: the HUNT study. Respir Med X. (2020) 2:100013. doi: 10.1016/j.yrmex.2019.100013

Crossref Full Text | Google Scholar

234. Chung, WS, Shen, TC, Lin, CL, Chu, YH, Hsu, WH, and Kao, CH. Adult asthmatics increase the risk of acute coronary syndrome: a nationwide population-based cohort study. Eur J Intern Med. (2014) 25:941–5. doi: 10.1016/j.ejim.2014.10.023

PubMed Abstract | Crossref Full Text | Google Scholar

235. Tomisa, G, Horváth, A, Sánta, B, Keglevich, A, and Tamási, L. Epidemiology of comorbidities and their association with asthma control. Allergy Asthma Clin Immunol. (2021) 17:95. doi: 10.1186/s13223-021-00598-3

PubMed Abstract | Crossref Full Text | Google Scholar

236. Christiansen, SC, Schatz, M, Yang, S-J, Ngor, E, Chen, W, and Zuraw, BL. Hypertension and asthma: a comorbid relationship. J Allergy Clin Immunol Pract. (2016) 4:76–81. doi: 10.1016/j.jaip.2015.07.009

Crossref Full Text | Google Scholar

237. Miele, CH, Grigsby, MR, Siddharthan, T, Gilman, RH, Miranda, JJ, Bernabe-Ortiz, A, et al. Environmental exposures and systemic hypertension are risk factors for decline in lung function. Thorax. (2018) 73:1120–7. doi: 10.1136/thoraxjnl-2017-210477

PubMed Abstract | Crossref Full Text | Google Scholar

238. Patel, M, Kurade, M, Rajalingam, S, Bhavsar, R, Mustafa, SJ, and Ponnoth, DS. Role of angiotensin II type 1 (AT1) and type 2 (AT2) receptors in airway reactivity and inflammation in an allergic mouse model of asthma. Immunopharmacol Immunotoxicol. (2019) 41:428–37. doi: 10.1080/08923973.2019.1609026

PubMed Abstract | Crossref Full Text | Google Scholar

239. Lindbohm, JV, Sipilä, PN, Mars, N, Knüppel, A, Pentti, J, Nyberg, ST, et al. Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study. Lancet Digit Health. (2021) 3:e434–44. doi: 10.1016/S2589-7500(21)00079-0

PubMed Abstract | Crossref Full Text | Google Scholar

240. Eichler, K, Puhan, MA, Steurer, J, and Bachmann, LM. Prediction of first coronary events with the Framingham score: a systematic review. Am Heart J. (2007) 153:722–731.e8. doi: 10.1016/j.ahj.2007.02.027

PubMed Abstract | Crossref Full Text | Google Scholar

241. Bellocchia, M, Masoero, M, Ciuffreda, A, Croce, S, Vaudano, A, Torchio, R, et al. Predictors of cardiovascular disease in asthma and chronic obstructive pulmonary disease. Multidiscip Respir Med. (2013) 8:58. doi: 10.1186/2049-6958-8-58

PubMed Abstract | Crossref Full Text | Google Scholar

242. Wang, B, Zhou, Y, Xiao, L, Guo, Y, Ma, J, Zhou, M, et al. Association of lung function with cardiovascular risk: a cohort study. Respir Res. (2018) 19:214. doi: 10.1186/s12931-018-0920-y

PubMed Abstract | Crossref Full Text | Google Scholar

243. Arcari, A, Magnacca, S, Bracone, F, Costanzo, S, Persichillo, M, Di Castelnuovo, A, et al. Relation between pulmonary function and 10-year risk for cardiovascular disease among healthy men and women in Italy: the Moli-sani project. Eur J Prev Cardiol. (2013) 20:862–71. doi: 10.1177/2047487312447904

PubMed Abstract | Crossref Full Text | Google Scholar

244. Silvestre, OM, Nadruz, W Jr, Querejeta Roca, G, Claggett, B, Solomon, SD, Mirabelli, MC, et al. Declining lung function and cardiovascular risk. JACC Adv. (2018) 72:1109–22. doi: 10.1016/j.jacc.2018.06.049

PubMed Abstract | Crossref Full Text | Google Scholar

245. Cuttica, MJ, Colangelo, LA, Dransfield, MT, Bhatt, SP, Rana, JS, Jacobs, DR, et al. Lung function in young adults and risk of cardiovascular events over 29 years: the CARDIA study. J Am Heart Assoc. (2018) 7:e010672. doi: 10.1161/JAHA.118.010672

PubMed Abstract | Crossref Full Text | Google Scholar

246. Lee, HM, Liu, MA, Barrett-Connor, E, and Wong, ND. Association of lung function with coronary heart disease and cardiovascular disease outcomes in elderly: the rancho Bernardo study. Respir Med. (2014) 108:1779–85. doi: 10.1016/j.rmed.2014.09.016

PubMed Abstract | Crossref Full Text | Google Scholar

247. Patakas, D, Argiropoulou, V, Louridas, G, and Tsara, V. Beta-blockers in bronchial asthma: effect of propranolol and pindolol on large and small airways. Thorax. (1983) 38:108–12. doi: 10.1136/thx.38.2.108

PubMed Abstract | Crossref Full Text | Google Scholar

248. Odeh, M, Oliven, A, and Bassan, H. Timolol eyedrop-induced fatal bronchospasm in an asthmatic patient. J Fam Pract. (1991) 32:97–8.

Google Scholar

249. Mattson, K, and Poppius, H. Controlled study of the bronchoconstriction effect of pindolol administered intravenously or orally to patients with unstable asthma. Eur J Clin Pharmacol. (1978) 14:87–92. doi: 10.1007/BF00607436

PubMed Abstract | Crossref Full Text | Google Scholar

250. Morales, DR, Lipworth, BJ, Donnan, PT, Jackson, C, and Guthrie, B. Respiratory effect of beta-blockers in people with asthma and cardiovascular disease: population-based nested case control study. BMC Med. (2017) 15:18. doi: 10.1186/s12916-017-0781-0

PubMed Abstract | Crossref Full Text | Google Scholar

251. Iribarren, C, Rahmaoui, A, Long, AA, Szefler, SJ, Bradley, MS, Carrigan, G, et al. Cardiovascular and cerebrovascular events among patients receiving omalizumab: results from EXCELS, a prospective cohort study in moderate to severe asthma. J Allergy Clin Immunol. (2017) 139:1489–1495.e5. doi: 10.1016/j.jaci.2016.07.038

PubMed Abstract | Crossref Full Text | Google Scholar

252. Lugogo, N, Domingo, C, Chanez, P, Leigh, R, Gilson, MJ, Price, RG, et al. Long-term efficacy and safety of mepolizumab in patients with severe eosinophilic asthma: a multi-center, open-label, phase IIIb study. Clin Ther. (2016) 38:2058–2070.e1. doi: 10.1016/j.clinthera.2016.07.010

PubMed Abstract | Crossref Full Text | Google Scholar

253. Bleecker, ER, FitzGerald, JM, Chanez, P, Papi, A, Weinstein, SF, Barker, P, et al. Efficacy and safety of benralizumab for patients with severe asthma uncontrolled with high-dosage inhaled corticosteroids and long-acting β2-agonists (SIROCCO): a randomised, multicentre, placebo-controlled phase 3 trial. Lancet (North American ed). (2016) 388:2115–27. doi: 10.1016/S0140-6736(16)31324-1

Crossref Full Text | Google Scholar

254. Busse, WW, Bleecker, ER, FitzGerald, JM, Ferguson, GT, Barker, P, Sproule, S, et al. Long-term safety and efficacy of benralizumab in patients with severe, uncontrolled asthma: 1-year results from the BORA phase 3 extension trial. Lancet Respir Med. (2019) 7:46–59. doi: 10.1016/S2213-2600(18)30406-5

PubMed Abstract | Crossref Full Text | Google Scholar

255. Dupin, C, Belhadi, D, Guilleminault, L, Gamez, A-S, Berger, P, De Blay, F, et al. Effectiveness and safety of dupilumab for the treatment of severe asthma in a real-life French multi-centre adult cohort. Clin Exp Allergy. (2020) 50:789–98. doi: 10.1111/cea.13614

Crossref Full Text | Google Scholar

256. Thelen, JC, van Zelst, CM, van Brummelen, SE, Rauh, S, In 't Veen, JCCM, Kappen, JH, et al. Efficacy and safety of dupilumab as add-on therapy for patients with severe asthma: a real-world Dutch cohort study. Respir Med. (2023) 206:107058. doi: 10.1016/j.rmed.2022.107058

PubMed Abstract | Crossref Full Text | Google Scholar

257. Corren, J, Menzies-Gow, A, Chupp, G, Israel, E, Korn, S, Cook, B, et al. Efficacy of Tezepelumab in severe, uncontrolled asthma: pooled analysis of the PATHWAY and NAVIGATOR clinical trials. Am J Respir Crit Care Med. (2023) 208:13–24. doi: 10.1164/rccm.202210-2005OC

PubMed Abstract | Crossref Full Text | Google Scholar

258. Barrecheguren, M, Pinto, L, Mostafavi-Pour-Manshadi, S, Tan, WC, Li, PZ, Aaron, SD, et al. Identification and definition of asthma–COPD overlap: the CanCOLD study. Theatr Res Int. (2020) 25:836–49. doi: 10.1111/resp.13780

PubMed Abstract | Crossref Full Text | Google Scholar

259. Henriksen, AH, Langhammer, A, Steinshamn, S, Mai, XM, and Brumpton, BM. The prevalence and symptom profile of asthma–COPD overlap: the HUNT study. COPD J Chronic Obstr Pulm Dis. (2018) 15:27–35. doi: 10.1080/15412555.2017.1408580

PubMed Abstract | Crossref Full Text | Google Scholar

260. Hosseini, M, Almasi-Hashiani, A, Sepidarkish, M, and Maroufizadeh, S. Global prevalence of asthma-COPD overlap (ACO) in the general population: a systematic review and meta-analysis. Respir Res. (2019) 20:229. doi: 10.1186/s12931-019-1198-4

PubMed Abstract | Crossref Full Text | Google Scholar

261. Tu, X, Donovan, C, Kim, RY, Wark, PAB, Horvat, JC, and Hansbro, PM. Asthma-COPD overlap: current understanding and the utility of experimental models. Eur Respir Rev. (2021) 30:190185. doi: 10.1183/16000617.0185-2019

PubMed Abstract | Crossref Full Text | Google Scholar

262. Morissette, M, Godbout, K, Côté, A, and Boulet, L-P. Asthma COPD overlap: insights into cellular and molecular mechanisms. Mol Aspects Med. (2022) 85:101021. doi: 10.1016/j.mam.2021.101021

Crossref Full Text | Google Scholar

263. Tommola, M, Ilmarinen, P, Tuomisto, LE, Lehtimäki, L, and Kankaanranta, H. Occupational exposures and asthma–COPD overlap in a clinical cohort of adult-onset asthma. ERJ Open Res. (2019) 5:00191–2019. doi: 10.1183/23120541.00191-2019

PubMed Abstract | Crossref Full Text | Google Scholar

264. Koleade, A, Farrell, J, Mugford, G, and Gao, Z. Prevalence and risk factors of ACO (asthma-COPD overlap) in aboriginal people. J Environ Public Health. (2018) 2018:4657420. doi: 10.1155/2018/4657420

Crossref Full Text | Google Scholar

265. Chen, Y-C, Tsai, Y-H, Wang, C-C, Liu, S-F, Chen, T-W, Fang, W-F, et al. Epigenome-wide association study on asthma and chronic obstructive pulmonary disease overlap reveals aberrant DNA methylations related to clinical phenotypes. Sci Rep. (2021) 11:5022. doi: 10.1038/s41598-021-83185-1

PubMed Abstract | Crossref Full Text | Google Scholar

266. Gao, J, Zhou, W, Chen, B, Lin, W, Wu, S, and Wu, F. Sputum cell count: biomarkers in the differentiation of asthma, COPD and asthma-COPD overlap. Int J COPD. (2017) 12:2703–10. doi: 10.2147/COPD.S142466

PubMed Abstract | Crossref Full Text | Google Scholar

267. Gava, G, Núñez, A, Esquinas, C, Sarasate, M, Loeb, E, Pirina, P, et al. Analysis of blood biomarkers in patients with chronic obstructive pulmonary disease (COPD) and with asthma-COPD overlap (ACO). COPD J Chronic Obstr Pulm Dis. (2020) 17:306–10. doi: 10.1080/15412555.2020.1761314

PubMed Abstract | Crossref Full Text | Google Scholar

268. Llanos, JP, Ortega, H, Germain, G, Duh, MS, Lafeuille, MH, Tiggelaar, S, et al. Health characteristics of patients with asthma, COPD and asthma–COPD overlap in the NHANES database. Int J COPD. (2018) 13:2859–68. doi: 10.2147/COPD.S167379

PubMed Abstract | Crossref Full Text | Google Scholar

269. Luo, J-Y, Chen, H-A, Feng, Y-Y, Chen, Y-P, Lei, X-C, Guo, S-L, et al. Blood eosinophil endotypes across asthma and chronic obstructive pulmonary disease (COPD). Can Respir J. (2022) 2022:9656278. doi: 10.1155/2022/9656278

Crossref Full Text | Google Scholar

270. Ghosh, N, Choudhury, P, Subramani, E, Saha, D, Sengupta, S, Joshi, M, et al. Metabolomic signatures of asthma-COPD overlap (ACO) are different from asthma and COPD. Metabolomics. (2019) 15:87–11. doi: 10.1007/s11306-019-1552-z

PubMed Abstract | Crossref Full Text | Google Scholar

271. Hirai, K, Shirai, T, Shimoshikiryo, T, Ueda, M, Gon, Y, Maruoka, S, et al. Circulating microRNA-15b-5p as a biomarker for asthma-COPD overlap. Allergy. (2021) 76:766–74. doi: 10.1111/all.14520

PubMed Abstract | Crossref Full Text | Google Scholar

272. Huang, X, Tan, X, Liang, Y, Hou, C, Qu, D, Li, M, et al. Differential DAMP release was observed in the sputum of COPD, asthma and asthma-COPD overlap (ACO) patients. Sci Rep. (2019) 9:19241. doi: 10.1038/s41598-019-55502-2

PubMed Abstract | Crossref Full Text | Google Scholar

273. Matsunaga, K, Kuwahira, I, Hanaoka, M, Saito, J, Tsuburai, T, Fukunaga, K, et al. An official JRS statement: the principles of fractional exhaled nitric oxide (FeNO) measurement and interpretation of the results in clinical practice. Respir Investig. (2021) 59:34–52. doi: 10.1016/j.resinv.2020.05.006

PubMed Abstract | Crossref Full Text | Google Scholar

274. Takayama, Y, Ohnishi, H, Ogasawara, F, Oyama, K, Kubota, T, and Yokoyama, A. Clinical utility of fractional exhaled nitric oxide and blood eosinophils counts in the diagnosis of asthma–COPD overlap. Int J COPD. (2018) 13:2525–32. doi: 10.2147/COPD.S167600

PubMed Abstract | Crossref Full Text | Google Scholar

275. Chen, FJ, Huang, XY, Liu, YL, Lin, GP, and Xie, CM. Importance of fractional exhaled nitric oxide in the differentiation of asthma–COPD overlap syndrome, asthma, and COPD. Int J COPD. (2016) 11:2385–90. doi: 10.2147/COPD.S115378

PubMed Abstract | Crossref Full Text | Google Scholar

276. Berry, MA, Shaw, DE, Green, RH, Brightling, CE, Wardlaw, AJ, and Pavord, ID. The use of exhaled nitric oxide concentration to identify eosinophilic airway inflammation: an observational study in adults with asthma. Clin Exp Allergy. (2005) 35:1175–9. doi: 10.1111/j.1365-2222.2005.02314.x

PubMed Abstract | Crossref Full Text | Google Scholar

277. Soler-Cataluña, JJ, Novella, L, Soler, C, Nieto, ML, Esteban, V, Sánchez-Toril, F, et al. Clinical characteristics and risk of exacerbations associated with different diagnostic criteria of asthma-COPD overlap. Arch Bronconeumol (English Ed). (2020) 56:282–90. doi: 10.1016/j.arbr.2020.03.003

Crossref Full Text | Google Scholar

278. Choi, JY, Rhee, CK, Yoo, KH, Jung, K-S, Lee, JH, Yoon, HK, et al. Heterogeneity of asthma–chronic obstructive pulmonary disease (COPD) overlap from a cohort of patients with severe asthma and COPD. Ther Adv Respir Dis. (2023) 17:175346662311694. doi: 10.1177/17534666231169472

PubMed Abstract | Crossref Full Text | Google Scholar

279. Cosio, BG, Soriano, JB, López-Campos, JL, Calle-Rubio, M, Soler-Cataluna, JJ, De-Torres, JP, et al. Defining the asthma-COPD overlap syndrome in a COPD cohort. Chest. (2016) 149:45–52. doi: 10.1378/chest.15-1055

Crossref Full Text | Google Scholar

280. Lee, H, Kim, S, Kim, B, Lee, Y, Lee, HY, Ban, G, et al. Characteristics of specialist-diagnosed asthma-COPD overlap in severe asthma: observations from the Korean severe asthma registry (KoSAR). Allergy. (2021) 76:223–32. doi: 10.1111/all.14483

PubMed Abstract | Crossref Full Text | Google Scholar

281. Sevimli, N, Yapar, D, and Turktas, H. The prevalence of asthma-COPD overlap (ACO) among patients with asthma. Turkish Thorac J. (2019) 20:97–102. doi: 10.5152/TurkThoracJ.2018.18055

PubMed Abstract | Crossref Full Text | Google Scholar

282. Shabaan, AY, Daabis, RG, Abdelhady, AM, and Ibrahim, DH. Prevalence of asthma—chronic obstructive pulmonary disease overlap in patients with airflow limitation. Egypt J Bronchol. (2021) 15:4. doi: 10.1186/s43168-021-00055-0

Crossref Full Text | Google Scholar

283. Tommola, M, Ilmarinen, P, Tuomisto, LE, Lehtimäki, L, Haanpää, J, Niemelä, O, et al. Differences between asthma – COPD overlap syndrome and adult-onset asthma. Eur Respir J. (2017) 49:1–10. doi: 10.1183/13993003.02383-2016

PubMed Abstract | Crossref Full Text | Google Scholar

284. Andersén, H, Lampela, P, Nevanlinna, A, Säynäjäkangas, O, and Keistinen, T. High hospital burden in overlap syndrome of asthma and COPD. Clin Respir J. (2013) 7:342–6. doi: 10.1111/crj.12013

PubMed Abstract | Crossref Full Text | Google Scholar

285. Kumbhare, S, Pleasants, R, Ohar, JA, and Strange, C. Characteristics and prevalence of asthma/chronic obstructive pulmonary disease overlap in the United States. Ann Am Thorac Soc. (2016) 13:803–10. doi: 10.1513/AnnalsATS.201508-554OC

PubMed Abstract | Crossref Full Text | Google Scholar

286. Mendy, A, Forno, E, Niyonsenga, T, Carnahan, R, and Gasana, J. Prevalence and features of asthma-COPD overlap in the United States 2007-2012. Clin Respir J. (2018) 12:2369–77. doi: 10.1111/crj.12917

PubMed Abstract | Crossref Full Text | Google Scholar

287. Yamauchi, Y, Yasunaga, H, Matsui, H, Hasegawa, W, Jo, T, Takami, K, et al. Comparison of in-hospital mortality in patients with COPD, asthma and asthma-COPD overlap exacerbations. Theatr Res Int. (2015) 20:940–6. doi: 10.1111/resp.12556

Crossref Full Text | Google Scholar

288. Mattila, T, Vasankari, T, Kauppi, P, Mazur, W, Härkänen, T, and Heliövaara, M. Mortality of asthma, COPD, and asthma-COPD overlap during an 18-year follow up. Respir Med. (2023) 207:107112. doi: 10.1016/j.rmed.2022.107112

Crossref Full Text | Google Scholar

289. Meyer, JD, Holt, DL, Chen, Y, Cherry, NM, and McDonald, JC. SWORD ‘99: surveillance of work-related and occupational respiratory disease in the UK. Occup Med (Chic Ill). (2001) 51:204–8. doi: 10.1093/occmed/51.3.204

Crossref Full Text | Google Scholar

290. Meyer, JD, Holt, DL, Cherry, NM, and McDonald, JC. SWORD ‘98: surveillance of work-related and occupational respiratory disease in the UK. Occup Med (Chic Ill). (1999) 49:485–9. doi: 10.1093/occmed/49.8.485

Crossref Full Text | Google Scholar

291. Tiotiu, AI, Novakova, S, Labor, M, Emelyanov, A, Mihaicuta, S, Novakova, P, et al. Progress in occupational asthma. Int J Environ Res Public Health. (2020) 17:4553. doi: 10.3390/ijerph17124553

PubMed Abstract | Crossref Full Text | Google Scholar

292. Cullinan, P, Vandenplas, O, and Bernstein, D. Assessment and management of occupational asthma. J Allergy Clin Immunol Pract. (2020) 8:3264–75. doi: 10.1016/j.jaip.2020.06.031

Crossref Full Text | Google Scholar

293. Oh, SS, and Kim, KS. Occupational asthma in Korea. J Korean Med Sci. (2010) 25:S20–5. doi: 10.3346/jkms.2010.25.S.S20

PubMed Abstract | Crossref Full Text | Google Scholar

294. Kwon, S-C, Song, J, Kim, Y, and Calvert, GM. Work-related asthma in Korea – findings from the Korea work-related asthma surveillance (KOWAS) program, 2004-2009. Allergy Asthma Immunol Res. (2015) 7:51–9. doi: 10.4168/aair.2015.7.1.51

PubMed Abstract | Crossref Full Text | Google Scholar

295. Vandenplas, O, Lantin, A-C, D’Alpaos, V, Larbanois, A, Hoet, P, Vandeweerdt, M, et al. Time trends in occupational asthma in Belgium. Respir Med. (2011) 105:1364–72. doi: 10.1016/j.rmed.2011.05.002

Crossref Full Text | Google Scholar

296. Bakerly, ND, Moore, VC, Vellore, AD, Jaakkola, MS, Robertson, AS, and Burge, PS. Fifteen-year trends in occupational asthma: data from the shield surveillance scheme. Occup Med (Chic Ill). (2008) 58:169–74. doi: 10.1093/occmed/kqn007

PubMed Abstract | Crossref Full Text | Google Scholar

297. Le Moual, N, Siroux, V, Pin, I, Kauffmann, F, and Kennedy, SM. Asthma severity and exposure to occupational asthmogens. Am J Respir Crit Care Med. (2005) 172:440–5. doi: 10.1164/rccm.200501-111OC

PubMed Abstract | Crossref Full Text | Google Scholar

298. Liss, GM, Tarlo, SM, Macfarlane, Y, and Yeung, KS. Hospitalization among workers compensated for occupational asthma. Am J Respir Crit Care Med. (2000) 162:112–8. doi: 10.1164/ajrccm.162.1.9906108

Crossref Full Text | Google Scholar

299. Kim, J-L, Henneberger, PK, Lohman, S, Olin, A-C, Dahlman-Höglund, A, Andersson, E, et al. Impact of occupational exposures on exacerbation of asthma: a population-based asthma cohort study. BMC Pulm Med. (2016) 16:148. doi: 10.1186/s12890-016-0306-1

PubMed Abstract | Crossref Full Text | Google Scholar

300. Vandenplas, O, Godet, J, Hurdubaea, L, Rifflart, C, Suojalehto, H, Walusiak-Skorupa, J, et al. Severe occupational asthma: insights from a multicenter European cohort. J Allergy Clin Immunol Pract. (2019) 7:2309–2318.e4. doi: 10.1016/j.jaip.2019.03.017

PubMed Abstract | Crossref Full Text | Google Scholar

301. Lavoie, KL, Joseph, M, Favreau, H, Lemiere, C, Labrecque, M, Cartier, A, et al. Prevalence of psychiatric disorders among patients investigated for occupational asthma. An overlooked differential diagnosis? Am J Respir Crit Care Med. (2013) 187:926–32. doi: 10.1164/rccm.201211-2076OC

Crossref Full Text | Google Scholar

302. Moscato, G, Pignatti, P, Yacoub, M-R, Romano, C, Spezia, S, and Perfetti, L. Occupational asthma and occupational rhinitis in hairdressers. Chest. (2005) 128:3590–8. doi: 10.1378/chest.128.5.3590

Crossref Full Text | Google Scholar

303. Moscato, G, Pala, G, Folletti, I, Siracusa, A, and Quirce, S. Occupational rhinitis affects occupational asthma severity. J Occup Health. (2016) 58:310–3. doi: 10.1539/joh.15-0067-BR

PubMed Abstract | Crossref Full Text | Google Scholar

304. Tustin, AW, Kundu-Orwa, S, Lodwick, J, Cannon, DL, and McCarthy, RB. An outbreak of work-related asthma and silicosis at a US countertop manufacturing and fabrication facility. Am J Ind Med. (2022) 65:12–9. doi: 10.1002/ajim.23304

PubMed Abstract | Crossref Full Text | Google Scholar

305. Thoré, P, and Tiotiu, A. Asthme professionnel non contrôlé: autour des comorbidités de l’asthme. Rev Mal Respir. (2019) 36:633–7. doi: 10.1016/j.rmr.2019.03.008

PubMed Abstract | Crossref Full Text | Google Scholar

306. Pelaia, C, Pelaia, G, and Busse, W. Do comorbidities influence the response to biologics in severe asthma? Am J Respir Crit Care Med. (2023) 1–10. doi: 10.1164/rccm.202311-2103ED [Epub ahead of print].

Crossref Full Text | Google Scholar

307. Wechsler, ME, Scelo, G, Larenas-Linnemann, DES, Torres-Duque, CA, Maspero, J, Tran, TN, et al. Association between T2-related comorbidities and effectiveness of biologics in severe asthma. Am J Respir Crit Care Med. (2023). doi: 10.1164/rccm.202305-0808OC [Epub ahead of print].

Crossref Full Text | Google Scholar

Keywords: ACO, asthma, comorbidity, mortality, outcomes

Citation: Listyoko AS, Okazaki R, Harada T, Inui G and Yamasaki A (2024) Exploring the association between asthma and chronic comorbidities: impact on clinical outcomes. Front. Med. 11:1305638. doi: 10.3389/fmed.2024.1305638

Received: 02 October 2023; Accepted: 16 January 2024;
Published: 26 January 2024.

Edited by:

Rodrigo Torres-Castro, University of Chile, Chile

Reviewed by:

Vladyslav Sikora, University of Foggia, Italy
Alexandr Ceasovschih, Grigore T. Popa University of Medicine and Pharmacy, Romania
Corrado Pelaia, University of Magna Graecia, Italy

Copyright © 2024 Listyoko, Okazaki, Harada, Inui and Yamasaki. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Aditya Sri Listyoko, YWRpdHlhbGlzdHlva29AdWIuYWMuaWQ=

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