Literature DB >> 33900052

Clinical and inflammatory characteristics of patients with asthma in the Spanish MEGA project cohort.

Manuel J Rial1, Maria J Álvarez-Puebla2, Ebymar Arismendi3,4, María L Caballero5, José A Cañas1,3, María J Cruz3,6,7, Francisco J González-Barcala3,8, Juan A Luna5, Carlos Martínez-Rivera3,9, Joaquim Mullol3,10, Xavier Muñoz3,6,7, José M Olaguibel2,3, César Picado3,4, Vicente Plaza3,11, Santiago Quirce3,5, Christian Romero-Mesones7, Francisco-Javier Salgado12, Beatriz Sastre1,3, Lorena Soto-Retes3,11, Antonio Valero3,4, Marcela Valverde1, Joaquín Sastre1,3, Victora Del Pozo1,3.   

Abstract

INTRODUCTION: The MEGA (MEchanism underlying the Genesis and evolution of Asthma) project is a multicenter cohort study carried out in eight Spanish hospitals, gathering clinical, physiological, and molecular data from patients with asthma and multimorbidities in order to gain insight into the different physiopathological mechanisms involved in this disorder.
MATERIAL AND METHODS: We report the baseline clinical and physiological characteristics and biomarker measures of adult participants in the project with the aim of better understanding the natural history and underlying mechanisms of asthma as well as the associated multimorbidities across different levels of severity. We carried out a detailed clinical examination, pulmonary function testing, measurement of fractional exhaled nitric oxide (FeNO), blood counts, induced sputum, skin prick tests, chest computed tomography scan, asthma questionnaires, and multimorbidity assessment in 512 asthmatic patients.
RESULTS: When compared to patients with milder disease, severe asthmatic patients showed greater presence of symptoms, more exacerbations, lower asthma control, increased airflow obstruction, and higher frequency of chronic rhinosinusitis with nasal polyps, severe rhinitis, anxiety and depression, gastroesophageal reflux, and bronchiectasis.
CONCLUSION: The MEGA project succeeded in recruiting a high number of asthma patients, especially those with severe disease, who showed lower control and higher frequency of multimorbidities.
© 2021 The Authors. Clinical and Translational Allergy published by John Wiley and Sons Ltd on behalf of European Academy of Allergy and Clinical Immunology.

Entities:  

Keywords:  Spanish: asma; biomarcadores; asma eosinofílica;inflamación; asma neutrofílica; fenotipos.; asthma; biomarkers; eosinophilic asthma; inflammation; neutrophilic asthma; phenotype

Year:  2021        PMID: 33900052     DOI: 10.1002/clt2.12001

Source DB:  PubMed          Journal:  Clin Transl Allergy        ISSN: 2045-7022            Impact factor:   5.871


  1 in total

1.  How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?

Authors:  Diana Betancor; José María Olaguibel; José Manuel Rodrigo-Muñoz; Ebymar Arismendi; Pilar Barranco; Blanca Barroso; Irina Bobolea; Blanca Cárdaba; María Jesús Cruz; Elena Curto; Victoria Del Pozo; Francisco-Javier González-Barcala; Carlos Martínez-Rivera; Joaquim Mullol; Xavier Muñoz; Cesar Picado; Vicente Plaza; Santiago Quirce; Manuel Jorge Rial; Lorena Soto; Antonio Valero; Marcela Valverde-Monge; Joaquin Sastre
Journal:  Clin Transl Allergy       Date:  2022-08-20       Impact factor: 5.657

  1 in total

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