Related Experiment Video
Updated: May 21, 2026

Noninvasive Sampling of Mucosal Lining Fluid for the Quantification of In Vivo Upper Airway Immune-mediator Levels
Published on: August 7, 2017
Predicting who will have asthma at school age among preschool children
Olga E M Savenije1, Marjan Kerkhof, Gerard H Koppelman
1Department of Epidemiology, GRIAC Research Institute, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Insights
Predicting childhood asthma from preschool wheezing is challenging. Current prediction rules offer modest value, highlighting the need for better definitions and future research into biomarkers for improved accuracy.
Area of Science:
- Pediatric Pulmonology
- Respiratory Medicine
- Clinical Epidemiology
Background:
- Distinguishing preschool wheezing from future asthma is difficult.
- Clinical prediction rules can aid prognosis and guide treatment/prevention strategies for childhood asthma.
- Accurate prediction of school-age asthma from preschool symptoms remains an unmet clinical need.
Purpose of the Study:
- To review the development and utility of clinical prediction rules for asthma in preschool children.
- To evaluate the European Respiratory Society Task Force classification of preschool wheeze.
- To assess the effectiveness of current prediction rules and recommend improvements for identifying children with future asthma.
Main Methods:
- Literature review of clinical prediction rules for childhood asthma.
- Analysis of the European Respiratory Society Task Force classification of preschool wheeze.
- Synthesis of evidence on the predictive value of current rules and proposed enhancements.
Main Results:
- Clinical prediction rules are increasingly developed but have limited clinical application.
- The classification of episodic and multiple-trigger wheeze shows conflicting results and limited predictive value for school-age asthma.
- Existing prediction rules for identifying future asthma in preschool children demonstrate modest clinical utility.
Conclusions:
- Current methods for predicting school-age asthma from preschool wheezing are of limited value.
- Improved asthma prediction requires more precise definitions, measures, and understanding of underlying mechanisms.
- Future advancements may involve biomarkers and genomic profiling for personalized asthma management.
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.
Related Concept Videos
Asthma-I: Introduction
Asthma I: Introduction
Asthma-II: Pathophysiology and Classification
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Asthma: Pathogenesis and Management
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
Asthma III: Clinical Manifestations
Asthma-IV: Diagnostic and Management
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
