Literature DB >> 28939411

High prevalence of severe asthma in a large random population study.

Roxana Mincheva1, Linda Ekerljung1, Apostolos Bossios1, Bo Lundbäck1, Jan Lötvall2.   

Abstract

BACKGROUND: The prevalence of asthma severity is not well described at a population level.
OBJECTIVE: We sought to determine the prevalence of phenotypic signs of asthma severity among asthmatic patients in a general population and to describe risk factors for asthma severity.
METHODS: We performed an epidemiologic study conducted between 2008 and 2012 (West Sweden Asthma Study). A postal questionnaire was sent to a random population (n = 30,000) in west Sweden, with 18,087 responses. A total of 2,006 subjects were carefully phenotyped. Only subjects with "active asthma" (symptoms or medication in the last year, n = 744) were analyzed in this study to determine the degree of severity of the disease within an asthma cohort. Phenotypes of severity were calculated based on (1) multiple symptoms during the day despite ongoing use of asthma medications, (2) FEV1 of less than 70% of predicted value, (3) daily or almost daily use of rescue medications, (4) nighttime symptoms once a week or more, and (5) oral corticosteroid use/emergency department visits. Asthmatic patients were grouped as having nonsevere disease, 1 sign of severity, or 2 or more signs of severity.
RESULTS: A total of 36.2% of asthmatic patients expressed at least 1 sign of asthma severity, and 13.2% had 2 or more signs. The group with 2 or more signs was older in age and had higher body mass index, a higher rate of tobacco smoking, and lower lung function. Bronchial hyperreactivity, airway inflammation, and sensitization were significantly different among the 3 groups. At a population level, the prevalence of asthma severity was 3.1% for 1 sign and 1.3% for at least 2 signs.
CONCLUSION: More than 1 in 3 asthmatic patients show at least 1 sign of asthma severity. The phenotypes of asthma severity are highly diverse, which is important to consider when implementing personalized medicine in asthmatic patients.
Copyright © 2017 American Academy of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Asthma severity; phenotypic diversity; population study; prevalence

Mesh:

Year:  2017        PMID: 28939411     DOI: 10.1016/j.jaci.2017.07.047

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  12 in total

1.  High Prevalence of Asthma in Elderly Women: Findings From a Korean National Health Database and Adult Asthma Cohort.

Authors:  So Young Park; Jung Hyun Kim; Hyo Jung Kim; Bomi Seo; Oh Young Kwon; Hun Soo Chang; Hyouk Soo Kwon; Tae Bum Kim; Ho Kim; Choon Sik Park; Hee Bom Moon; You Sook Cho
Journal:  Allergy Asthma Immunol Res       Date:  2018-07       Impact factor: 5.764

2.  Alpha 1 antitrypsin distribution in an allergic asthmatic population sensitized to house dust mites.

Authors:  I Suárez-Lorenzo; F Rodríguez de Castro; D Cruz-Niesvaara; E Herrera-Ramos; C Rodríguez-Gallego; T Carrillo-Diaz
Journal:  Clin Transl Allergy       Date:  2018-11-02       Impact factor: 5.871

3.  Cohort profile: the West Sweden Asthma Study (WSAS): a multidisciplinary population-based longitudinal study of asthma, allergy and respiratory conditions in adults.

Authors:  Bright I Nwaru; Linda Ekerljung; Madeleine Rådinger; Anders Bjerg; Roxana Mincheva; Carina Malmhäll; Malin Axelsson; Göran Wennergren; Jan Lotvall; Bo Lundbäck
Journal:  BMJ Open       Date:  2019-06-19       Impact factor: 2.692

Review 4.  Future Risks in Patients With Severe Asthma.

Authors:  Woo Jung Song; Ji Hyang Lee; Yewon Kang; Woo Joung Joung; Kian Fan Chung
Journal:  Allergy Asthma Immunol Res       Date:  2019-11       Impact factor: 5.764

Review 5.  A reintroduction of environmental mite allergen control strategies for asthma treatment and the debate on their effectiveness.

Authors:  Frank E van Boven; Lidia R Arends; Gert-Jan Braunstahl; Roy Gerth van Wijk
Journal:  Clin Exp Allergy       Date:  2019-02-11       Impact factor: 5.018

Review 6.  A meta-analysis of baseline characteristics in trials on mite allergen avoidance in asthmatics: room for improvement.

Authors:  Frank E van Boven; Nicolette W de Jong; Gert-Jan Braunstahl; Roy Gerth van Wijk; Lidia R Arends
Journal:  Clin Transl Allergy       Date:  2020-01-06       Impact factor: 5.871

7.  Specialist Perception of Severe Asthma in Korea: A Questionnaire Survey.

Authors:  Mi Ae Kim; Heung Woo Park; Byung Keun Kim; So Young Park; Ga Young Ban; Ji Hyang Lee; Jin An; Ji Su Shim; Youngsoo Lee; Ha Kyeong Won; Hwa Young Lee; Kyoung Hee Sohn; Sung Yoon Kang; So Young Park; Hyun Lee; Min Hye Kim; Jae Woo Kwon; Sun Young Yoon; Jae Hyun Lee; Chin Kook Rhee; Ji Yong Moon; Taehoon Lee; So Ri Kim; Jong Sook Park; Sang Heon Kim; Jae Won Jeong; Sang Hoon Kim; Young Il Koh; Yeon Mok Oh; An Soo Jang; Kwang Ha Yoo; You Sook Cho
Journal:  Allergy Asthma Immunol Res       Date:  2021-05       Impact factor: 5.764

8.  Trends in oral corticosteroids use in severe asthma: a 14-year population-based study.

Authors:  Mohsen Sadatsafavi; Amir Khakban; Hamid Tavakoli; Solmaz Ehteshami-Afshar; Larry D Lynd; J Mark FitzGerald
Journal:  Respir Res       Date:  2021-04-09

9.  Asthma and/or hay fever as predictors of fertility/impaired fecundity in U.S. women: National Survey of Family Growth.

Authors:  Paul C Turkeltaub; Richard F Lockey; Katie Holmes; Erika Friedmann
Journal:  Sci Rep       Date:  2019-12-10       Impact factor: 4.379

10.  Positive change in asthma control using therapeutic patient education in severe uncontrolled asthma: a one-year prospective study.

Authors:  Xiaoxian Zhang; Zhengdao Lai; Rihuang Qiu; E Guo; Jing Li; Qingling Zhang; Naijian Li
Journal:  Asthma Res Pract       Date:  2021-07-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.