| Autor: |
Kupczyk, M. Haque, S. Sterk, P.J. Nizankowska-Mogilnicka, E. Papi, A. Bel, E.H. Chanez, P. Dahlén, B. Gaga, M. Gjomarkaj, M. Howarth, P.H. Johnston, S.L. Joos, G.F. Kanniess, F. Tzortzaki, E. James, A. Middelveld, R.J.M. Dahlén, S.-E. |
| Jazyk: |
angličtina |
| Rok vydání: |
2013 |
| Popis: |
Background Objective measures are required that may be used as a proxy for exacerbations in asthma. The aim was to determine the sensitivity and specificity of electronic diary data to detect severe exacerbations (SEs) of asthma. A secondary aim was to identify phenotypic variables associated with a higher risk of exacerbation. Methods In the BIOAIR study, 169 patients with asthma (93 severe (SA); 76 mild to moderate (MA)) recorded lung function, symptoms and medication use in electronic diaries for 1 year. Data were analysed using receiver-operator characteristics curves and related to physician-diagnosed exacerbations. Medical history and baseline clinical data were used to assess risk of exacerbation. Results Of 122 physician-diagnosed exacerbations, 104 occurred in the SA group (1.1 per patient/year), 18 in the MA group (0.2 per patient/year) and 63 were severe using American Thoracic Society/European Respiratory Society criteria. During exacerbations, peak expiratory flow (PEF) and forced expiratory volume in 1 s significantly decreased, whereas day and night symptoms significantly increased. An algorithm combining a 20% decrease in PEF or a 20% increase in day symptoms on 2 consecutive days was able to detect SEs with 65% sensitivity and 95% specificity. The strongest risk factors for SEs were low Asthma Control Questionnaire score, sputum eosinophils ≥3%, body mass index >25 and low quality of life (St George's Respiratory Questionnaire), with ORs between 3.61 and 2.22 ( p |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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