| Literature DB >> 35083326 |
Heidi Andersén1,2,3, Pinja Ilmarinen1,4, Jasmin Honkamäki1, Leena E Tuomisto4, Hanna Hisinger-Mölkänen5, Helena Backman6, Bo Lundbäck7, Eva Rönmark6, Tari Haahtela5, Anssi Sovijärvi5,8, Lauri Lehtimäki1,9, Päivi Piirilä5,8, Hannu Kankaanranta1,4,7.
Abstract
BACKGROUND: Nonsteroidal anti-inflammatory drugs (NSAIDs) may exacerbate respiratory symptoms. A recent European Academy of Allergy and Clinical Immunology position paper recommended the use of an acronym, N-ERD (NSAID-exacerbated respiratory disease), for this hypersensitivity associated with asthma or chronic rhinosinusitis with or without nasal polyposis. Our aim was to estimate the prevalence of N-ERD and identify factors associated with N-ERD.Entities:
Year: 2022 PMID: 35083326 PMCID: PMC8784895 DOI: 10.1183/23120541.00462-2021
Source DB: PubMed Journal: ERJ Open Res ISSN: 2312-0541
FIGURE 1Proportional Venn diagram describing the overlap of asthma, rhinitis, nonsteroidal anti-inflammatory drug (NSAID)-induced dyspnoea, the definition of NSAID-exacerbated respiratory disease (N-ERD) and how it differs from aspirin-exacerbated respiratory disease (AERD) and NSAID-induced dyspnoea without N-ERD.
Characteristics of nonsteroidal anti-inflammatory drug (NSAID)-exacerbated respiratory disease (N-ERD), asthma, rhinitis and NSAID-induced dyspnoea without N-ERD
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| 110 | 818 | 3168 | 22 | |
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| 52±14 | 46±15* | 46±14* | 53±16 | <0.001 |
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| 72 (65.5) | 460 (56.2) | 1767 (55.8) | 16 (72.7) | 0.090 |
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| 27.3±5.7 | 26.7±5.2 | 26.1±7.4 | 26.6±15.5 | 0.049 |
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| 32±17 | 25±18* | NA | NA | 0.021 |
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| 10 (16.4) | 235 (30.1) | NA | NA | 0.027 | |
| 24 (39.3) | 334 (42.8) | ||||
| 27 (44.3) | 212 (27.1) | ||||
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| 48 (43.6) | 471 (57.6)* | 1264 (39.6) | 0 (0.0)* | <0.001 |
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| 17 (15.5) | 67 (8.2) | 68 (2.1)* | 0 (0.0) | <0.001 |
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| 53 (48.2) | 355 (43.4) | 823 (26.0)* | 5 (22.7) | <0.001 |
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| 49 (44.5) | 383 (47.2)* | 1689 (53.3) | 6 (27.3) | <0.001 |
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| 24 (21.8) | 192 (23.5) | 724 (22.9) | 10 (45.5) | |
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| 37 (33.6) | 240 (29.3)* | 755 (23.8) | 6 (27.3) | |
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| 48 (45.7) | 308 (38.8) | 1064 (34.2) | 5 (23.8) | 0.007 |
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| 43 (39.8) | 210 (26.2)* | 702 (22.4)* | 5 (29.4) | <0.001 |
Data are presented as n, mean±sd or n (%), unless otherwise stated. Missing data in the N-ERD group: body mass index (BMI) n=2, occupational exposure to vapours, gases, dusts and fumes (VGDF) n=3, childhood exposure to farming environment n=2. ANOVA was used for continuous variables with Tukey's post hoc test to determine statistically significant differences and multigroup comparisons. Pearson's Chi-squared test with the z-test was used for categorical variables. NA: not applicable. *: p<0.05 versus N-ERD group.
FIGURE 2The prevalence of respiratory symptoms in nonsteroidal anti-inflammatory drug-exacerbated respiratory disease (N-ERD) (n=110) and asthma without N-ERD (n=818). Comparison between groups was made using Pearson's Chi-squared test.
FIGURE 3The prevalence of respiratory symptoms in nonsteroidal anti-inflammatory drug (NSAID)-induced dyspnoea without co-existing disease but with rhinitis or asthma; the latter two being NSAID-exacerbated respiratory disease (N-ERD) subgroups and the last one being part of aspirin-exacerbated respiratory disease. Comparison between groups was made using Pearson's Chi-squared test with the z-test.
Factors associated with nonsteroidal anti-inflammatory drug-exacerbated respiratory disease (N-ERD) determined by multivariable binary logistic regression
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| 20–39 years (ref.) | ||
| 40–59 years | 2.15 (1.25–3.68) | 2.11 (1.19–3.76) |
| 60–69 years | 2.90 (1.68–4.99) | 3.08 (1.68–5.64) |
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| 1.57 (1.06–2.33) | 1.46 (0.94–2.28) |
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| 2.98 (2.04–4.34) | 2.34 (1.53–3.57) |
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| 2.46 (1.68–3.59) | 2.47 (1.60–3.83) |
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| 1.63 (0.97–2.75) | 1.49 (0.86–2.59) | |
| 2.65 (1.53–4.57) | 2.41 (1.34–4.34) | |
| 3.83 (1.98–7.39) | 3.68 (1.82–7.46) | |
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| <25 kg·m−2 (ref.) | ||
| 25–29.99 kg·m−2 | 1.27 (0.82–1.98) | 1.02 (0.64–1.64) |
| ≥30 kg·m−2 | 1.72 (1.05–2.81) | 1.14 (0.67–1.95) |
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| 1.75 (1.18–2.57) | 1.38 (0.90–2.12) |
Ref.: reference category (without N-ERD); BMI: body mass index. #: adjusted to all variables in the model; ¶: cumulative exposure was classified from zero to three exposures calculating smoking (current or ex-smoking), secondhand smoke (smoke exposure at home or at work) and occupational exposure to vapours, gases, dusts and fumes.