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Risk factors for severe adult-onset asthma: a multi-factor approach

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...

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Autores principales: Toppila-Salmi, Sanna, Lemmetyinen, Riikka, Chanoine, Sebastien, Karjalainen, Jussi, Pekkanen, Juha, Bousquet, Jean, Siroux, Valérie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268541/
https://www.ncbi.nlm.nih.gov/pubmed/34238263
http://dx.doi.org/10.1186/s12890-021-01578-4
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author Toppila-Salmi, Sanna
Lemmetyinen, Riikka
Chanoine, Sebastien
Karjalainen, Jussi
Pekkanen, Juha
Bousquet, Jean
Siroux, Valérie
author_facet Toppila-Salmi, Sanna
Lemmetyinen, Riikka
Chanoine, Sebastien
Karjalainen, Jussi
Pekkanen, Juha
Bousquet, Jean
Siroux, Valérie
author_sort Toppila-Salmi, Sanna
collection PubMed
description 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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spelling pubmed-82685412021-07-09 Risk factors for severe adult-onset asthma: a multi-factor approach Toppila-Salmi, Sanna Lemmetyinen, Riikka Chanoine, Sebastien Karjalainen, Jussi Pekkanen, Juha Bousquet, Jean Siroux, Valérie BMC Pulm Med Research Article 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. BioMed Central 2021-07-08 /pmc/articles/PMC8268541/ /pubmed/34238263 http://dx.doi.org/10.1186/s12890-021-01578-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Toppila-Salmi, Sanna
Lemmetyinen, Riikka
Chanoine, Sebastien
Karjalainen, Jussi
Pekkanen, Juha
Bousquet, Jean
Siroux, Valérie
Risk factors for severe adult-onset asthma: a multi-factor approach
title Risk factors for severe adult-onset asthma: a multi-factor approach
title_full Risk factors for severe adult-onset asthma: a multi-factor approach
title_fullStr Risk factors for severe adult-onset asthma: a multi-factor approach
title_full_unstemmed Risk factors for severe adult-onset asthma: a multi-factor approach
title_short Risk factors for severe adult-onset asthma: a multi-factor approach
title_sort risk factors for severe adult-onset asthma: a multi-factor approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268541/
https://www.ncbi.nlm.nih.gov/pubmed/34238263
http://dx.doi.org/10.1186/s12890-021-01578-4
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