Characteristics of phenotypes of elderly patients with asthma

Background: The characteristics of phenotypes of elderly patients with asthma are unknown. The aim of this study was to classify these phenotypes using lung function tests and images from high-resolution computed tomography (HRCT), and to identify associations between clinical characteristics and ph...

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Main Authors: Hiroyuki Sano, Takashi Iwanaga, Osamu Nishiyama, Akiko Sano, Yuji Higashimoto, Katsuyuki Tomita, Yuji Tohda
Format: Article
Language:English
Published: Elsevier 2016-04-01
Series:Allergology International
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1323893015002142
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author Hiroyuki Sano
Takashi Iwanaga
Osamu Nishiyama
Akiko Sano
Yuji Higashimoto
Katsuyuki Tomita
Yuji Tohda
author_facet Hiroyuki Sano
Takashi Iwanaga
Osamu Nishiyama
Akiko Sano
Yuji Higashimoto
Katsuyuki Tomita
Yuji Tohda
author_sort Hiroyuki Sano
collection DOAJ
description Background: The characteristics of phenotypes of elderly patients with asthma are unknown. The aim of this study was to classify these phenotypes using lung function tests and images from high-resolution computed tomography (HRCT), and to identify associations between clinical characteristics and phenotypes. Methods: A cross-sectional study was conducted in 165 elderly patients (>65 years of age) who underwent a multidimensional assessment of clinical and functional status and comorbidity. The patients were divided into three phenotypes: (1) asthma-predominant, (2) asthma-obstructive airway disease (OAD) overlap without emphysema, and (3) asthma-OAD overlap with emphysema (asthma-emphysema overlap) based on chest HRCT. A receiver operating characteristic (ROC) curve was constructed to evaluate the cutoff for differentiating between the two OAD phenotypes. Multivariate analysis was also used to distinguish between these two phenotypes. Results: The phenotypes were asthma-predominant in 48 patients (29%), asthma-OAD without emphysema in 36 (22%), and asthma-emphysema in 81 (49%). Patients with asthma-emphysema were more frequent smokers. In multivariate analysis, smoking status (odds ratio 2.92: 95% CI 1.21–7.00, P = 0.03) and % predicted FEV1 ≤70% (odds ratio 3.18: 95% CI 1.13–8.92, P = 0.03) differed significantly between the asthma-emphysema and asthma-OAD without emphysema phenotypes. Conclusions: Half of elderly patients with asthma are characterized by asthma-emphysema overlap. Our results showed that elderly patients with asthma who are smokers and have moderate or severe OAD are also likely to have emphysema.
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spelling doaj.art-3c7766f7cc054b61b7a29be6418966562022-12-22T03:32:20ZengElsevierAllergology International1323-89302016-04-0165220420910.1016/j.alit.2015.11.007Characteristics of phenotypes of elderly patients with asthmaHiroyuki SanoTakashi IwanagaOsamu NishiyamaAkiko SanoYuji HigashimotoKatsuyuki TomitaYuji TohdaBackground: The characteristics of phenotypes of elderly patients with asthma are unknown. The aim of this study was to classify these phenotypes using lung function tests and images from high-resolution computed tomography (HRCT), and to identify associations between clinical characteristics and phenotypes. Methods: A cross-sectional study was conducted in 165 elderly patients (>65 years of age) who underwent a multidimensional assessment of clinical and functional status and comorbidity. The patients were divided into three phenotypes: (1) asthma-predominant, (2) asthma-obstructive airway disease (OAD) overlap without emphysema, and (3) asthma-OAD overlap with emphysema (asthma-emphysema overlap) based on chest HRCT. A receiver operating characteristic (ROC) curve was constructed to evaluate the cutoff for differentiating between the two OAD phenotypes. Multivariate analysis was also used to distinguish between these two phenotypes. Results: The phenotypes were asthma-predominant in 48 patients (29%), asthma-OAD without emphysema in 36 (22%), and asthma-emphysema in 81 (49%). Patients with asthma-emphysema were more frequent smokers. In multivariate analysis, smoking status (odds ratio 2.92: 95% CI 1.21–7.00, P = 0.03) and % predicted FEV1 ≤70% (odds ratio 3.18: 95% CI 1.13–8.92, P = 0.03) differed significantly between the asthma-emphysema and asthma-OAD without emphysema phenotypes. Conclusions: Half of elderly patients with asthma are characterized by asthma-emphysema overlap. Our results showed that elderly patients with asthma who are smokers and have moderate or severe OAD are also likely to have emphysema.http://www.sciencedirect.com/science/article/pii/S1323893015002142ACOSElderly asthmaEmphysemaHRCTPhenotype
spellingShingle Hiroyuki Sano
Takashi Iwanaga
Osamu Nishiyama
Akiko Sano
Yuji Higashimoto
Katsuyuki Tomita
Yuji Tohda
Characteristics of phenotypes of elderly patients with asthma
Allergology International
ACOS
Elderly asthma
Emphysema
HRCT
Phenotype
title Characteristics of phenotypes of elderly patients with asthma
title_full Characteristics of phenotypes of elderly patients with asthma
title_fullStr Characteristics of phenotypes of elderly patients with asthma
title_full_unstemmed Characteristics of phenotypes of elderly patients with asthma
title_short Characteristics of phenotypes of elderly patients with asthma
title_sort characteristics of phenotypes of elderly patients with asthma
topic ACOS
Elderly asthma
Emphysema
HRCT
Phenotype
url http://www.sciencedirect.com/science/article/pii/S1323893015002142
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