Risk Factors for Moderate-Severe Asthma in Children Ages 5-11 Years With Early-Onset Atopic Dermatitis

Robert S Zeiger1, Michael Schatz2, Botao Zhou3

  • 1Department of Allergy, Kaiser Permanente Southern California (KPSC), San Diego, Calif; Department of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, Calif; Department of Research and Evaluation, KPSC, Pasadena, Calif.

Insights

Early childhood atopic dermatitis (AD) can predict moderate-severe persistent asthma (MS-Asthma). Factors like male sex, non-Hispanic Black ethnicity, and infections increase risk, while exclusive breastfeeding and maternal diabetes are protective.

Area of Science:

  • Pediatric Allergy and Immunology
  • Respiratory Medicine
  • Epidemiology

Background:

  • Identifying early childhood risk factors for persistent asthma is crucial for timely intervention.
  • Early-onset atopic dermatitis (AD) is a known precursor to other atopic diseases, including asthma.

Purpose of the Study:

  • To identify risk factors for developing moderate-severe persistent asthma (MS-Asthma) between ages 5-11 in children with early-onset AD.
  • To develop predictive risk models for MS-Asthma using early childhood and maternal data.

Main Methods:

  • A birth cohort of 10,688 children with AD onset before 36 months was analyzed using electronic health records up to age 11.
  • MS-Asthma was defined as GINA step care level ≥3 for ≥4 years between ages 5-11.
  • Robust Poisson regression was used to determine risk ratios for MS-Asthma.

Main Results:

  • Children who developed MS-Asthma were more likely to be male, non-Hispanic Black, preterm, and not exclusively breastfed for one month.
  • Significant risk factors included perinatal respiratory disorders, infections, food allergy, allergic rhinitis, asthma, sensitization, and elevated eosinophils.
  • Maternal comorbidities, antibiotic use, and fewer pre-existing diabetes cases were associated with increased MS-Asthma risk. Protective factors included exclusive breastfeeding and maternal diabetes.

Conclusions:

  • Risk models for later childhood MS-Asthma can be developed using early childhood and maternal factors from administrative data.
  • Early identification of at-risk children with AD can facilitate targeted prevention and management strategies.
Abstract

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