Long-term predictors of severe exacerbations and mortality in a cohort of well-characterised adults with asthma

Author:

Tupper Oliver DjurhuusORCID,Ulrik Charlotte Suppli

Abstract

Abstract Background We aimed to explore long-term predictors of severe exacerbations and mortality in adults with well-characterised asthma. Study design and methods Adults (aged ≥ 15) with an objectively verified diagnosis of asthma were recruited from a Danish respiratory outpatient clinic between 1974 and 1990. All individuals were followed in Danish registries for vital status, hospital admissions for asthma and cause of death until end of 2017. Predictors of exacerbations were obtained from a repeated measures model. Standardised mortality rates (SMR) for all-causes were compared with the Danish background population. Hazard ratios for mortality were obtained from a cox proportional hazards model in a two-step process. Results At baseline, the cohort comprised 1071 patients (mean age 38, SD 16, 61% women), of whom 357 (33%) died during follow-up, with 93 (26%) dying from asthma (primary diagnosis). We found an SMR of 1.24 (95% CI 1.11–1.37, p < 0.001) for all-cause mortality. Baseline predictors for asthma-related death and repeated severe exacerbations were increasing age, ever smoker, FEV1 < 80% pred., high blood eosinophils, longer duration of symptoms and use of SABA > twice daily. Being non-atopic, having a positive histamine challenge test and symptoms more than twice a week were also predictors of repeated exacerbations. Conclusions Markers of poor asthma control, including high use of SABA, are predictors of long-term exacerbation rate and mortality over 30 years in patients with well-characterised asthma. Improving asthma control, including lung function and reducing use of reliever medication, is vital for improving the long-term outcome of asthma.

Funder

Sanofi Genzyme

Fonden til Lægevidenskabens Fremme

Innovationsfonden

Hvidovre Hospital

Publisher

Springer Science and Business Media LLC

Reference39 articles.

1. Global strategy for asthma management and prevention . Global Initiative for Asthma (GINA). 2020 [cited 2020 Jun 16]. https://ginasthma.org

2. Masoli M, Fabian D, Holt S, Beasley R. The global burden of asthma: executive summary of the GINA Dissemination Committee Report. Allergy Eur J Allergy Clin Immunol. 2004;59(5):469–78.

3. WHO. Global surveillance, prevention and control of chronic respiratory diseases: a comprehensive approach. http://www.who.int/gard/publications/GARDBook2007.pdf?ua=1

4. Li X, Cao X, Guo M, Xie M, Liu L. Trends and risk factors of mortality and disability adjusted life years for chronic respiratory diseases from 1990 to 2017: systematic analysis for the Global Burden of Disease Study 2017. BMJ. 1990;2020:368.

5. Alvarez GG, Schulzer M, Jung D, FitzGerald JM. A systematic review of risk factors associated with near-fatal and fatal asthma. Can Respir J. 2005;12(5):265–70.

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