Risk factors for asthma attacks and poor control in children: a prospective observational study in UK primary care

David Lo1,2, Caroline Beardsmore1, Damian Roland3,4

  • 1Department of Respiratory Sciences, University of Leicester, Leicester, UK.

Insights

Identifying asthma attack risk factors in children is crucial. Poor symptom control and a history of attacks predict future events, while Asian ethnicity may offer protection.

Area of Science:

  • Pediatric Pulmonology
  • Epidemiology
  • Clinical Research

Background:

  • Asthma affects millions of children globally, necessitating identification of factors contributing to poor control and exacerbations.
  • Understanding pediatric asthma triggers is vital for effective management and prevention of severe outcomes.

Purpose of the Study:

  • To determine key risk factors associated with asthma attacks and inadequate asthma control in children aged 5-16 years.
  • To inform clinical practice by identifying children at higher risk for adverse asthma-related events.

Main Methods:

  • A prospective observational cohort study involving 460 children with asthma in UK general practices.
  • Collected baseline data on demographics, BMI, spirometry, and FeNO; tracked asthma control, medication ratio, and attacks over 6 months.
  • Utilized binary multiple logistic regression to analyze predictors of poor symptom control and asthma attacks.

Main Results:

  • Poor baseline symptom control predicted persistent poor control (OR 4.4).
  • Higher FeNO levels (OR 1.02) and prior asthma attacks (OR 2.03) predicted future attacks.
  • Asian ethnicity (OR 0.32) was linked to fewer attacks, while decreased asthma medication ratio (OR 2.99) increased attack risk.

Conclusions:

  • Identified significant predictors for poor asthma control and future asthma attacks in children.
  • Routine assessment of identified risk factors during asthma reviews can help pinpoint high-risk children.
  • This proactive approach aims to reduce adverse asthma-related events in pediatric populations.
Abstract

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