Abstract
Background: There are limited data describing lung function changes in children after an asthma exacerbation. Our hypothesis was that lung function does not fully recover in children in the months following an asthma exacerbation. Methods: We used a data set of children with asthma where lung function (including FEV1, FEV1/FVC ratio and FEF25-75) was measured at 3-month intervals over a year. Mixed-level models compared spirometry measured on two occasions 3 months apart before a single exacerbation (assessments 1 and 2) with measurements made on two occasions after the exacerbation (assessments 3 and 4), with adjustment for covariates. Changes in spirometry over a year were also analysed across those with exacerbations in no, one or more than one 3-month periods. Results: For the 113 children who had a single exacerbation, spirometry measured at assessments 1 or 2 did not differ from measurements at assessments 3 or 4 when the whole population was considered. When stratified into tertiles by change in %FEV1 between assessments 2 and 3, those with the greater reduction were more likely to be treated with long-acting beta-agonist, but in this category, %FEV1 at assessment 4 had returned to the value at assessment 1. %FEV1 did not change over a 12-month period within and between the three exacerbation categories (n = 809). Conclusion: One or more asthma exacerbation was not associated with a fall in lung function for the whole population. In a subset of individuals, lung function does fall after an exacerbation but returns to pre-exacerbation values after a period of months.
| Original language | English |
|---|---|
| Pages (from-to) | 1208-1216 |
| Number of pages | 9 |
| Journal | Pediatric Allergy and Immunology |
| Volume | 32 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 15 Mar 2021 |
Bibliographical note
ACKNOWLEDGMENTS:We thank our colleagues Dr Maria Fritsch and Prof Thomas Frischer for sharing data from their study with us and that have been used in other analyses, but not the present analysis. We acknowledge the valuable input of Professor Johan de Jongste to two of the RCTS whose data are included in this work, and we wish him the best in retirement. We are also grateful to Dr Delapo Ayansina for his comments on the statistical approach taken for the analysis.
Publisher Copyright:
© 2021 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.
Research programs
- EMC OR-01-54-02
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