Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2012 Aug;130(2):325-31.
doi: 10.1016/j.jaci.2012.05.007. Epub 2012 Jun 15.

Predicting who will have asthma at school age among preschool children

Affiliations
Review

Predicting who will have asthma at school age among preschool children

Olga E M Savenije et al. J Allergy Clin Immunol. 2012 Aug.

Abstract

It is difficult to distinguish at preschool age whether a wheezing child will or will not have asthma at school age. A prediction rule for asthma in preschool children might help to determine a prognosis and to study improvements in treatment and prevention. This review discusses (1) the development and use of clinical prediction rules, (2) the European Respiratory Society Task Force classification of wheeze at preschool age, (3) published prediction rules developed to identify preschool children who will have asthma at school age, and (4) recommendations to improve asthma prediction. Prediction rules are currently created more frequently, yet their clinical use remains low. The classification of episodic wheeze and multiple-trigger wheeze in preschool children shows conflicting results as to whether episodic wheeze and multiple-trigger wheeze differ in clinical features and has limited value in predicting asthma at school age. Clearly, more studies are needed to confirm this. Currently available prediction rules aiming to identify preschool children having asthma at school age are of modest clinical value. Prediction can be improved by more precise definitions and measures and, ultimately, by more knowledge of pathophysiologic mechanisms. In the future, biomarkers and genomic risk profiles to develop personalized medicine might further improve asthma prediction, treatment, and prevention.

PubMed Disclaimer

Publication types