Distinct Phenotypes of Smokers with Fixed Airflow Limitation Identified by Cluster Analysis of Severe Asthma

Konno, Satoshi; Taniguchi, Natsuko; Makita, Hironi; Nakamaru, Yuji; Shimizu, Kaoruko; Shijubo, Noriharu; Fuke, Satoshi; Takeyabu, Kimihiro; Oguri, Mitsuru; Kimura, Hirokazu; Maeda, Yukiko; Suzuki, Masaru; Nagai, Katsura; Ito, Yoichi M.; Wenzel, Sally E.; Nishimura, Masaharu

doi:10.1513/annalsats.201701-065oc

Cited by 51 publications

(41 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the multivariate analysis, in patients with blood eosinophil counts of !300 cells/lL, the current study demonstrated an association between future exacerbations and both low predicted FEV 1 and high FeNO (!25 ppb), which was in line with previous studies [27,28] that showed the presence of subgroups with SEA. Comparatively, exacerbations during the baseline period were associated with an increased frequency of exacerbations in the 12-month follow-up period in patients with non-eosinophilic asthma but not in those with SEA.…”

Section: Discussionsupporting

confidence: 92%

The prevalence and disease burden of severe eosinophilic asthma in Japan

et al. 2019

View full text Add to dashboard Cite

Background: There are limited data on the prevalence and burden of severe eosinophilic asthma (SEA) both in Japan and globally. This study aimed to assess the prevalence and burden of SEA in Japan. Methods: This study was a retrospective, observational cohort analysis using health records or health insurance claims from patients with severe asthma treated at Kyoto University Hospital. The primary outcome was the prevalence of SEA, defined as a baseline blood eosinophil count !300 cells/lL. Secondary outcomes included frequency and risk factors of asthma exacerbations, and asthma-related healthcare resource utilization and costs. Results: Overall, 217 patients with severe asthma were included; 160 (74%) had eosinophil assessments. Of these, 97cases (61%), 54cases (34%), and 33cases (21%) had a blood eosinophil count !150, !300, and !500 cells/lL, respectively. Proportion of SEA was 34%. Blood eosinophil count was not associated with a significantly increased frequency of exacerbations. In the eosinophilic group, lower % forced expiratory volume in 1 second and higher fractional exhaled nitric oxide were predictive risk factors, while the existence of exacerbation history was a predictive risk factor for asthma exacerbations in the non-eosinophilic group. Severe asthma management cost was estimated as ¥357,958/patient-year, and asthma exacerbations as ¥26,124/patient-year. Conclusions: Approximately, one-third of patients with severe asthma in Japan have SEA. While risk factors for exacerbations differed between SEA and severe noneosinophilic asthma, both subgroups were associated with substantial disease and economic burden. From subgroup analysis, blood eosinophil counts could be an important consideration in severe asthma management.

show abstract

Section: Discussionsupporting

confidence: 92%

The prevalence and disease burden of severe eosinophilic asthma in Japan

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Previously, clustering techniques have been used to describe and to monitor phenotypes of asthma based on clinical characteristics 12,[48][49][50][51] and for eNose technology focused on phenotyping broad cohorts of obstructive pulmonary diseases 27,52 . The present study however, merged both approaches by using unbiased molecular profiling as starting point for the follow-up of severe asthma phenotypes.…”

Section: Discussionmentioning

confidence: 99%

Identification and prospective stability of electronic nose (eNose)–derived inflammatory phenotypes in patients with severe asthma

Brinkman

Wagener

Hekking

et al. 2019

Journal of Allergy and Clinical Immunology

View full text Add to dashboard Cite

show abstract

“…9–11 Risk factors for asthma/COPD overlap are poorly defined, but among those with smoking-related COPD, elevated eosinophils in sputum and blood are biomarkers for this condition. 12,13 There is a need for longitudinal studies to define risk factors for asthma/COPD overlap. 14 …”

Section: Introductionmentioning

confidence: 99%

Predictors of Asthma/COPD Overlap in FDNY Firefighters With World Trade Center Dust Exposure

Singh

Liu

Putman

et al. 2018

Chest

View full text Add to dashboard Cite

show abstract

Distinct Phenotypes of Smokers with Fixed Airflow Limitation Identified by Cluster Analysis of Severe Asthma

Abstract: This study reveals two distinct phenotypes with potentially different biological pathways contributing to fixed airflow limitation in cigarette smokers with severe asthma.

Cited by 51 publications

References 34 publications

The prevalence and disease burden of severe eosinophilic asthma in Japan

The prevalence and disease burden of severe eosinophilic asthma in Japan

Identification and prospective stability of electronic nose (eNose)–derived inflammatory phenotypes in patients with severe asthma

Predictors of Asthma/COPD Overlap in FDNY Firefighters With World Trade Center Dust Exposure

Contact Info

Product

Resources

About