Background: The aim was to identify risk factors for severe adult-onset asthma.
Methods: We used data from a population-based sample (Adult Asthma in Finland) of 1350 patients with adult-onset asthma (age range 31-93 years) from Finnish national registers. Severe asthma was defined as self-reported severe asthma and asthma symptoms causing much harm and regular impairment and ≥ 1 oral corticosteroid course/year or regular oral corticosteroids or waking up in the night due to asthma symptoms/wheezing ≥ a few times/month. Sixteen covariates covering several domains (personal characteristics, education, lifestyle, early-life factors, asthma characteristics and multiple morbidities) were selected based on the literature and were studied in association with severe asthma using logistic regressions.
Results: The study population included 100 (7.4%) individuals with severe asthma. In a univariate analysis, severe asthma was associated with male sex, age, a low education level, no professional training, ever smoking, ≥ 2 siblings, ≥ 1 chronic comorbidity and non-steroidal anti-inflammatory drug (NSAID)-exacerbated respiratory disease (NERD) (p < 0.05), and trends for association (p < 0.2) were observed for severe childhood infection, the presence of chronic rhinosinusitis with nasal polyps, and being the 1st child. The 10 variables (being a 1st child was removed due to multicollinearity) were thus entered in a multivariate regression model, and severe asthma was significantly associated with male sex (OR [95% CI] = 1.96 [1.16-3.30]), ever smoking (1.98 [1.11-3.52]), chronic comorbidities (2.68 [1.35-5.31]), NERD (3.29 [1.75-6.19]), and ≥ 2 siblings (2.51 [1.17-5.41]). There was a dose-response effect of the total sum of these five factors on severe asthma (OR [95% CI] = 2.30 [1.81-2.93] for each one-unit increase in the score).
Conclusions: Male sex, smoking, NERD, comorbidities, and ≥ 2 siblings were independent risk factors for self-reported severe asthma. The effects of these factors seem to be cumulative; each additional risk factor gradually increases the risk of severe asthma.
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http://dx.doi.org/10.1186/s12890-021-01578-4 | DOI Listing |
Expert Rev Respir Med
January 2025
Fondazione Istituto "G. Giglio" Cefalù, Cefalù, Italy.
Introduction: To evaluate the effectiveness of noninvasive positive pressure ventilation (NPPV) versus standard therapy in severe asthma exacerbations through meta-analysis.
Methods: Nine randomized controlled trials (344 patients) were analyzed from inception to August 2024. Primary outcomes included respiratory rate, forced expiratory volume in first second (FEV1), and oxygen saturation (SpO2).
Prog Mol Biol Transl Sci
January 2025
Graduate School of Biomedical Science and Engineering, Hanyang University, Seoul, Korea; College of Medicine, Hanyang University, Seoul, Korea. Electronic address:
Genetic and environmental factors can have an impact on lung and respiratory disorders which are associated with severe symptoms and have high mortality rates. Many respiratory diseases are significantly influenced by genetic or epigenetic factors. Gene therapy offers a powerful approach providing therapeutic treatment for lung diseases.
View Article and Find Full Text PDFActas Dermosifiliogr
January 2025
Eli Lilly and Company, Madrid, Spain. Electronic address:
Atopic dermatitis (AD) is a chronic, inflammatory skin disease affecting all age groups, particularly children. This systematic review provides an overview of the humanistic and economic disease burden in the pediatric population with AD in Spain. The evidence, collected from 11 observational studies published over the past 10 years, exhibits the most common characteristics of the patients, disease burden, patient-reported outcomes, use of resources, and treatment patterns.
View Article and Find Full Text PDFJ Allergy Clin Immunol Pract
January 2025
Breathing Institute, Children's Hospital Colorado, Department of Pediatrics, Pediatric Pulmonary and Sleep Medicine Section, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, CO. Electronic address:
Digital health is an umbrella term for components of healthcare utilizing computer platforms, software, connectivity and sensors to augment the recording, documentation and communication of clinical information. The functions of digital health may be viewed in three domains: 1) the repository for patient information, 2) monitoring devices and 3) communication tools. Monitoring devices have provided robust information as diagnostic and prognostic tools in office and hospital settings.
View Article and Find Full Text PDFAm J Transl Res
December 2024
Department of Respiratory Medicine, Hanzhong People's Hospital Hanzhong 723000, Shaanxi, China.
Objective: To investigate the diagnostic value of immunoglobulin E (IgE), fractional of exhaled nitric oxide (FeNO), and peripheral blood eosinophils (EOS) in adult bronchial asthma and to analyze their relationship with asthma severity.
Methods: A retrospective analysis was conducted on 336 patients diagnosed with bronchial asthma and admitted to Xi'an Fourth Hospital from January 2022 to January 2024, forming the asthma group. Additionally, another 127 healthy subjects were selected as the non-asthmatic control group.
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