Literature DB >> 31017024

Asthma phenotypes and associated comorbidities in a large cohort of adolescents in Israel.

Yossy Machluf1,2, Rivka Farkash3, Ron Rotkopf4, Daniel Fink3, Yoram Chaiter1.   

Abstract

Objectives: Asthma is a multifactorial, heterogeneous, complex and common chronic respiratory disease driven by diverse mechanisms. Although asthma presents various clinical forms with different levels of severity, it is unclear whether asthma severities are a consequence of disease management or varied etiologies. We sought to investigate this question.
Methods: This article presents a cross-sectional study of 113,671 Israeli adolescents. Univariate and multivariable logistic regression models were performed to analyze the independent associations between mild asthma and moderate-to-severe asthma phenotypes and coexistent medical conditions within each gender separately. Hierarchical clustering of the odds ratios of the diverse statistically significant medical conditions associated with asthma severity-gender groups was also performed. We focused on the allergic and neurological-cognitive-mental disorders.
Results: Among males, two associations were common to both asthma groups (atopic dermatitis and allergic rhinitis), five unique to mild asthma (urticaria/angioedema, Hymenoptera/bee allergies, allergic conjunctivitis, epilepsy and migraine) and two unique to moderate-to-severe asthma (learning disabilities and ADD/ADHD (Attention-deficit disorder/Attention-deficit/hyperactivity disorder)). Among females, two associations were common to both clinical asthma groups (allergic rhinitis and urticaria/angioedema), and five unique to moderate-to-severe asthma (atopic dermatitis, learning disabilities, ADD/ADHD, anxiety/mood disorders and migraine). Allergic rhinitis was the only condition to be associated with all four groups. Learning disabilities and ADD/ADHD were only associated with moderate-to-severe asthma (but not with mild asthma), in both males and females. Hierarchical clustering analysis uncovered two prominent clusters, separating mild from moderate-to-severe asthma.Conclusions: The differences between mild and moderate-to-severe asthma enhance asthma phenotype characterization, with respect to comorbidities, and indicate varied etiologies.

Entities:  

Keywords:  Asthma phenotypes; adolescents; asthma severity; comorbidities; hierarchical clustering

Mesh:

Year:  2019        PMID: 31017024     DOI: 10.1080/02770903.2019.1604743

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  6 in total

1.  Peri-adolescent asthma: Acute impacts on innate immune response, corticosterone, and microglia in mice.

Authors:  Jasmine I Caulfield; Kerri J Schopf; Sonia A Cavigelli
Journal:  J Neuroimmunol       Date:  2020-11-25       Impact factor: 3.478

2.  Association of rhinitis with asthma prevalence and severity.

Authors:  Antonio Acevedo-Prado; Teresa Seoane-Pillado; Angel López-Silvarrey-Varela; Francisco-Javier Salgado; María-Jesus Cruz; Ana Faraldo-Garcia; Juan-Jose Nieto-Fontarigo; Sonia Pértega-Díaz; J Sanchez-Lastres; Miguel-Angel San-José-González; Luis Bamonde-Rodríguez; Luciano Garnelo-Suárez; Teresa Pérez-Castro; Manuel Sampedro-Campos; Francisco-Javier Gonzalez-Barcala
Journal:  Sci Rep       Date:  2022-04-16       Impact factor: 4.996

Review 3.  Paediatric asthma and non-allergic comorbidities: A review of current risk and proposed mechanisms.

Authors:  Bronwyn K Brew; Emma Caffrey Osvald; Tong Gong; Anna M Hedman; Kirsten Holmberg; Henrik Larsson; Jonas F Ludvigsson; Mwenya Mubanga; Awad I Smew; Catarina Almqvist
Journal:  Clin Exp Allergy       Date:  2022-07-28       Impact factor: 5.401

Review 4.  Gender medicine: Lessons from COVID-19 and other medical conditions for designing health policy.

Authors:  Yossy Machluf; Yoram Chaiter; Orna Tal
Journal:  World J Clin Cases       Date:  2020-09-06       Impact factor: 1.337

5.  Estimated Prevalence of Asthma in US Children With Developmental Disabilities.

Authors:  Luyu Xie; Andrew Gelfand; George L Delclos; Folefac D Atem; Harold W Kohl; Sarah E Messiah
Journal:  JAMA Netw Open       Date:  2020-06-01

6.  Interferon characterization associates with asthma and is a potential biomarker of predictive diagnosis.

Authors:  Hairong Shu; Yong Li; Hangyu Xu; Qing Yin; Jianxin Song; Minqiao Zheng; He Li
Journal:  Biosci Rep       Date:  2021-03-26       Impact factor: 3.840

  6 in total

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