Distribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study

Abstract Background The inflammatory phenotypes of asthma predict the treatment response and prognosis. The phenotype distributions differ depending on the geographical region. This study aimed to assess the distribution of different inflammatory phenotypes among asthma patients in Jilin Province, C...

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Autores principales: Bingqing Shi, Wei Li, Hongna Dong, Mengting Xu, Yuqiu Hao, Peng Gao
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Lenguaje:EN
Publicado: BMC 2021
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spelling oai:doaj.org-article:f63d141dc41743698bfd7c4d2a993c942021-11-14T12:37:17ZDistribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study10.1186/s12890-021-01722-01471-2466https://doaj.org/article/f63d141dc41743698bfd7c4d2a993c942021-11-01T00:00:00Zhttps://doi.org/10.1186/s12890-021-01722-0https://doaj.org/toc/1471-2466Abstract Background The inflammatory phenotypes of asthma predict the treatment response and prognosis. The phenotype distributions differ depending on the geographical region. This study aimed to assess the distribution of different inflammatory phenotypes among asthma patients in Jilin Province, China. Methods A total of 255 patients with asthma were recruited from Jilin Province, China for this cross-sectional study. Each patient underwent sputum induction following clinical assessment and peripheral blood collection. Inflammatory phenotypes were classified according to the inflammatory cell counts in the sputum. Results Paucigranulocytic asthma (PGA) was the most common inflammatory phenotype (52.2%), followed by eosinophilic asthma (EA, 38.3%), mixed granulocytic asthma (MGA, 5.2%), and neutrophilic asthma (NA, 4.3%). NA was more common among patients over 45 years old and those who were treated with higher doses of inhaled corticosteroids (ICS), but was less common following antibiotics treatment (p < 0.05). The proportion of patients with EA decreased as the ICS treatment dose and time increased (p = 0.038). Patients with uncontrolled asthma had higher numbers of sputum eosinophils and neutrophils (p < 0.05). Patients with severe asthma had a higher percentage of sputum neutrophils (p < 0.05). A greater proportion of patients with NA had severe asthma (60%) compared to those with EA (18.2%) (p = 0.016). Conclusions The most common asthma inflammatory cell phenotype in Jilin Province, China is PGA, followed by EA, MGA, and NA. The low prevalence of NA in Jilin Province compared to other countries and also other regions in China might be due to excessive antibiotic use and irregular ICS treatment in this region.Bingqing ShiWei LiHongna DongMengting XuYuqiu HaoPeng GaoBMCarticleAsthmaInflammatory cell phenotypesInduced sputumUncontrolled asthmaSevere asthmaDiseases of the respiratory systemRC705-779ENBMC Pulmonary Medicine, Vol 21, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Asthma
Inflammatory cell phenotypes
Induced sputum
Uncontrolled asthma
Severe asthma
Diseases of the respiratory system
RC705-779
spellingShingle Asthma
Inflammatory cell phenotypes
Induced sputum
Uncontrolled asthma
Severe asthma
Diseases of the respiratory system
RC705-779
Bingqing Shi
Wei Li
Hongna Dong
Mengting Xu
Yuqiu Hao
Peng Gao
Distribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study
description Abstract Background The inflammatory phenotypes of asthma predict the treatment response and prognosis. The phenotype distributions differ depending on the geographical region. This study aimed to assess the distribution of different inflammatory phenotypes among asthma patients in Jilin Province, China. Methods A total of 255 patients with asthma were recruited from Jilin Province, China for this cross-sectional study. Each patient underwent sputum induction following clinical assessment and peripheral blood collection. Inflammatory phenotypes were classified according to the inflammatory cell counts in the sputum. Results Paucigranulocytic asthma (PGA) was the most common inflammatory phenotype (52.2%), followed by eosinophilic asthma (EA, 38.3%), mixed granulocytic asthma (MGA, 5.2%), and neutrophilic asthma (NA, 4.3%). NA was more common among patients over 45 years old and those who were treated with higher doses of inhaled corticosteroids (ICS), but was less common following antibiotics treatment (p < 0.05). The proportion of patients with EA decreased as the ICS treatment dose and time increased (p = 0.038). Patients with uncontrolled asthma had higher numbers of sputum eosinophils and neutrophils (p < 0.05). Patients with severe asthma had a higher percentage of sputum neutrophils (p < 0.05). A greater proportion of patients with NA had severe asthma (60%) compared to those with EA (18.2%) (p = 0.016). Conclusions The most common asthma inflammatory cell phenotype in Jilin Province, China is PGA, followed by EA, MGA, and NA. The low prevalence of NA in Jilin Province compared to other countries and also other regions in China might be due to excessive antibiotic use and irregular ICS treatment in this region.
format article
author Bingqing Shi
Wei Li
Hongna Dong
Mengting Xu
Yuqiu Hao
Peng Gao
author_facet Bingqing Shi
Wei Li
Hongna Dong
Mengting Xu
Yuqiu Hao
Peng Gao
author_sort Bingqing Shi
title Distribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study
title_short Distribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study
title_full Distribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study
title_fullStr Distribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study
title_full_unstemmed Distribution of inflammatory phenotypes among patients with asthma in Jilin Province, China: a cross-sectional study
title_sort distribution of inflammatory phenotypes among patients with asthma in jilin province, china: a cross-sectional study
publisher BMC
publishDate 2021
url https://doaj.org/article/f63d141dc41743698bfd7c4d2a993c94
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AT mengtingxu distributionofinflammatoryphenotypesamongpatientswithasthmainjilinprovincechinaacrosssectionalstudy
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