Risk Factors Predicting Severe Asthma Exacerbations in Adult Asthmatics: A Real-World Clinical Evidence

Cannabinoid receptor 2 as a regulator of inflammation induced oleoylethanolamide in eosinophilic asthma

BACKGROUND

Oleoylethanolamide (OEA), an endogenously generated cannabinoid-like compound, has been reported to be increased in patients with severe asthma and aspirin-exacerbated respiratory disease. Recruitment of activated eosinophils in the airways is a hallmark of bronchial asthma.

OBJECTIVE

We explored the direct contribution of cannabinoid receptor 2 (CB2), a cognate receptor of OEA, which induces eosinophil activation in vitro and in vivo.

METHODS

We investigated OEA signaling in the eosinophilic cell line dEol-1 in peripheral blood eosinophils from people with asthma. In order to confirm whether eosinophil activation by OEA is CB2 dependent or not, CB2 small interfering RNA and the CB2 antagonist SR144528 were used. The numbers of airway inflammatory cells and the levels of cytokines were measured in bronchoalveolar lavage fluid, and airway hyperresponsiveness was examined in the BALB/c mice.

RESULTS

CB2 expression was increased after OEA treatment in both peripheral blood eosinophils and dEol-1 cells. It was also elevated after OEA-induced recruitment of eosinophils to the lungs in vivo. However, SR144528 treatment reduced the activation of peripheral blood eosinophils from asthmatic patients. Furthermore, CB2 knockdown decreased the activation of dEol-1 cells and the levels of inflammatory and type 2 cytokines. SR144528 treatment alleviated airway hyperresponsiveness and eosinophil recruitment to the lungs in vivo.

CONCLUSION

CB2 may contribute to the pathogenesis of eosinophilic asthma. Our results provide new insight into the molecular mechanism of signal transduction by OEA in eosinophilic asthma.

Mild asthma is not mild: risk factors and predictive biomarkers for severe acute exacerbations and progression in mild asthma

INTRODUCTION

Asthma is a common chronic respiratory disease characterized by chronic airway inflammation, airway hyperresponsiveness, reversible airflow limitation, and airway remodeling. Mild asthma is the most common type of asthma, but it is the most neglected. Sometimes mild asthma can lead to acute severe exacerbations or even death.

AREAS COVERED

This article reviews the epidemiology, risk factors, and possible predictors of acute severe exacerbations and disease progression in mild asthma to improve the understanding of mild asthma and its severe acute exacerbations and progression.

EXPERT OPINION

There is a necessity to improve asthma patient categorization and redefine mild asthma's concept to heighten patient and physician attention. Identifying mild asthma patients that are highly vulnerable to severe acute exacerbations and researching the mechanisms are future prioritizations.

Association of eosinophil-derived neurotoxin levels with asthma control status in patients with aspirin-exacerbated respiratory disease

BACKGROUND

The long-term goals of asthma treatment are to achieve well control of symptoms and to minimize the future risk of asthma exacerbation. Identifying biomarkers for uncontrolled asthma is important for improving the asthma outcome. This study aimed to investigate the association of the levels of eosinophil-derived neurotoxin (EDN) with asthma control status in specific asthma phenotype, aspirin-exacerbated respiratory disease (AERD), and aspirin-tolerant asthma (ATA).

METHODS

A total of 136 adult asthmatics, including 47 asthmatics with AERD and 89 asthmatics with ATA, were enrolled. Plasma, sputum, and urine were collected at enrollment and the levels of EDN were measured by the K-EDN ELISA kit. Urinary leukotriene E4 (LTE4 ) level was measured using liquid chromatography-mass spectrometry (LC-MS)/MS methods. Asthma control status was evaluated according to the GINA guideline, asthma control test and asthma control questionnaire scores.

RESULTS

In the total study subjects, sputum levels of EDN as well as of urine and plasma EDN showed significantly higher levels in patients with uncontrolled asthma than in those with well-controlled or partly-controlled asthma (ANOVA, p < 0.001); in patients with AERD, the sputum EDN levels showed significant correlations with ACT, ACQ, and AQLQ scores (p = 0.010, r = -0.536, p = 0.001, r = 0.665, and p < 0.001, r = -0.691, respectively), while no differences were noted in patients with ATA. Sputum EDN level was the only significant factor for ACT, ACQ, and AQLQ scores in patients with AERD (p = 0.001, p < 0.001, and p < 0.001, respectively) in the multivariate analysis adjusting for age, sex, peripheral eosinophil count, and urine LTE4 . The ROC curve analysis demonstrated that sputum EDN can predict uncontrolled asthma with 80% sensitivity and 88.2% specificity for ACT ≤ 19 (area under the ROC curve [AUC] = 0.824, p = 0.019); 71.4% sensitivity and 86.7% specificity for ACQ ≥ 1.5 (AUC = 0.752, p = 0.049) only in AERD patients.

CONCLUSION

The level of sputum EDN may be a potential biomarker for identifying the asthma control status in patients with AERD.

A Comparison of the Effectiveness of Asthma Medications on Asthma Exacerbations in Real World National Cohort

Background

Although a wide variety of asthma medications have been developed and are used in clinical practice, there is limited evidence of their comparative effects on asthma exacerbations.

Methods

We used claims data provided by the Health Insurance Review and Assessment Service. We selected subjects commencing asthma treatment between July 1, 2017 and June 30, 2018, with no change in drug regimen. The primary outcome was asthma exacerbation requiring systemic corticosteroids. Cox regression analysis was used to assess outcomes considering the exacerbation-free period.

Results

Of the 254,951 asthma subjects, 107,694 subjects (42.2%) experienced asthma exacerbation. Inhaled corticosteroids (ICSs) (hazard ratio [HR], 0.378–0.508), ICS-long-acting β₂-agonist (LABAs) (HR, 0.284–0.479), long-acting muscarine antagonists (LAMAs) (HR, 0.432–0.572), leukotriene receptor antagonists (LTRAs) (HR, 0.371–0.419), and xanthines (HR, 0.326–0.482) significantly reduced the rate of first and second exacerbation of asthma (all P-values, <0.001). The clinical effectiveness of asthma medications varied according to the active ingredient (HR 0.164–0.670) and was significant for all active ingredients (all P-values, <0.001). The effectiveness of combination treatment using ICS-LABA and LTRA varied (HR, 0.159–0.670); however, all combination treatment options evaluated were effective in preventing asthma exacerbations (all P-values, <0.001). Long-term use of ICS-LABA (HR, 0.278–0.653), LTRA (HR, 0.259–0.628), and xanthines (HR, 0.351–0.783) showed consistent effectiveness (all P-values, <0.001).

Conclusion

This real-world study showed that the effectiveness of asthma medications varied according to drug type, active ingredient, combination, and period of use, although effectiveness was significant in all cases studied.

Effects of Asthma Medication Type on Asthma Exacerbation in a Real-World Setting

PURPOSE

Currently, there are multiple options for the pharmacological treatment of asthma. This study aimed to compare the effects of different asthma medications on exacerbation in a real-world setting.

MATERIALS AND METHODS

We retrospectively reviewed electronic medical records of asthma patients who visited the hospital from November 1, 2016 to October 31, 2019. The number of asthma exacerbations requiring administration of systemic steroids was the primary outcome. A time-varying Cox regression analysis was used to reflect the real-world setting: variable usage times, discontinuation, and switching of medication.

RESULTS

Among 937 patients with asthma, 228 (24.3%) experienced asthma exacerbation during the study period. Asthma exacerbation was observed in patients using short-acting β₂-agonists (SABA) alone (50.4% vs. 28.6%, p<0.001) as well as in patients not using inhaled corticosteroids (ICS) (58.8% vs. 40.3%, p<0.001), long-acting β₂-agonists (LABA) (54.8% vs. 36.1%, p<0.001), and leukotriene receptor antagonists (71.5% vs. 50.8%, p<0.001). A time-varying Cox regression analysis of asthma exacerbations according to the duration of asthma medication showed that SABA alone increased the risk of asthma exacerbation [hazard ratio (HR), 1.834; 95% confidence interval (CI), 1.299-2.588; p=0.001], whereas ICS-LABA decreased the risk (HR, 0.733; 95% CI, 0.538-0.997; p=0.048). However, in the subgroup analysis according to medication type, specific ingredients showed no significant differences.

CONCLUSION

In the real world, asthma medications affect asthma exacerbation variably according to the medication type.

The influence of individual characteristics and non-respiratory diseases on blood eosinophil count

Background

Blood eosinophil (B-Eos) count is an emerging biomarker in the management of respiratory disease but determinants of B-Eos count besides respiratory disease are poorly described. Therefore, we aimed to evaluate the influence of non-respiratory diseases on B-Eos count, in comparison to the effect on two other biomarkers: fraction of exhaled nitric oxide (FeNO) and C-reactive protein (CRP), and to identify individual characteristics associated with B-Eos count in healthy controls.

Methods

Children/adolescents (<18 years) and adults with complete B-Eos data from the US National Health and Nutritional Examination Surveys 2005-2016 were included, and they were divided into having respiratory diseases (n = 3333 and n = 7,894, respectively) or not having respiratory disease (n = 8944 and n = 15,010, respectively). After excluding any respiratory disease, the association between B-Eos count, FeNO or CRP, and non-respiratory diseases was analyzed in multivariate models and multicollinearity was tested. After excluding also non-respiratory diseases independently associated with B-Eos count (giving healthy controls; 8944 children/adolescents and 5667 adults), the independent association between individual characteristics and B-Eos count was analyzed.

Results

In adults, metabolic syndrome, heart disease or stroke was independently associated with higher B-Eos count (12%, 13%, and 15%, respectively), whereas no associations were found with FeNO or CRP. In healthy controls, male sex or being obese was associated with higher B-Eos counts, both in children/adolescents (15% and 3% higher, respectively) and adults (14% and 19% higher, respectively) (p < 0.01 all). A significant influence of race/ethnicity was also noted, and current smokers had 17% higher B-Eos count than never smokers (p < 0.001).

Conclusions

Non-respiratory diseases influence B-Eos count but not FeNO or CRP. Male sex, obesity, certain races/ethnicities, and current smoking are individual characteristics or exposures that are associated with higher B-Eos counts. All these factors should be considered when using B-Eos count in the management of respiratory disease.