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The course of asthma activity: A population study

Background Unlike most chronic diseases, which tend to progress over time, asthma is known to persist, possibly resolve, and/or present with any combination of remissions and relapses. As a result, its course has been difficult to characterize and its prognosis difficult to predict. Objective To qua...

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Bibliographic Details
Published in:Journal of allergy and clinical immunology 2012-03, Vol.129 (3), p.679-686
Main Authors: Gershon, Andrea, MSc, MD, Guan, Jun, MSc, Victor, J. Charles, MSc, Wang, Chengning, MSc, MD, To, Teresa, PhD
Format: Article
Language:English
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Summary:Background Unlike most chronic diseases, which tend to progress over time, asthma is known to persist, possibly resolve, and/or present with any combination of remissions and relapses. As a result, its course has been difficult to characterize and its prognosis difficult to predict. Objective To quantify the proportion of individuals with asthma who have active disease and, of those, the proportion who experience significant gaps in their asthma activity; and to determine factors associated with asthma activity. Methods Universal population health administrative databases were used to identify all individuals with asthma living in Ontario, Canada, in 1993 and follow them for 15 years. Active asthma was indicated by 1 or more physician claims for asthma. Results Of 613,394 individuals with asthma in 1993, 504,851 (82.3%) had active disease in subsequent years. Of those who had complete follow-up, 74.6% experienced a gap of 2 or more years in their asthma activity. Previous asthma claims, older and younger age, and a codiagnosis of chronic obstructive pulmonary disease correlated with greater asthma activity. Conclusion Over 15 years, most individuals with asthma in Ontario, Canada, had active disease that was interspersed by periods of inactivity when they did not require medical attention and were likely in remission. These analyses offer insight into the natural course of asthma activity that may help improve the ability to predict an individual’s course of disease.
ISSN:0091-6749
1097-6825
DOI:10.1016/j.jaci.2011.11.014