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.

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