Analysis of the predicting factors of recurrent wheezing in infants

Jia Zhai1, Yingxue Zou2, Jie Liu1

  • 1The second department of respiration, Tianjin Children's Hospital, Tianjin, 300074, China.

Insights

Recurrent wheezing in infants can be predicted by combining blood eosinophil counts and serum eosinophil-derived neurotoxin (EDN) levels. This combination offers a more accurate assessment of risk in early childhood.

Area of Science:

  • Pediatrics
  • Respiratory Medicine
  • Allergy and Immunology

Background:

  • Asthma in children under 5 is often underestimated due to a lack of diagnostic criteria.
  • Identifying predictors for recurrent wheezing in infants is crucial for early diagnosis and management.
  • This study aimed to uncover factors associated with recurrent wheezing in young children.

Purpose of the Study:

  • To identify predicting factors for recurrent wheezing in infants.
  • To evaluate the diagnostic utility of eosinophil counts and serum EDN levels.
  • To improve early detection of conditions leading to recurrent wheezing.

Main Methods:

  • One hundred forty-five infants under 3 years old hospitalized with respiratory diseases were enrolled.
  • Patients were followed for one year post-discharge to categorize them into recurrent or non-recurrent wheezing groups.
  • Blood tests for allergic markers, including eosinophil count and serum eosinophil-derived neurotoxin (EDN), were analyzed.

Main Results:

  • Infants with recurrent wheezing showed higher prevalence of eczema and respiratory syncytial virus (RSV) infection.
  • Elevated blood eosinophil percentage and serum EDN concentration were significantly higher in the recurrent wheezing group.
  • Serum EDN demonstrated higher sensitivity (88.7%) while eosinophil count showed higher specificity (90.4%) in predicting recurrent wheezing.

Conclusions:

  • The combination of eosinophil count and serum EDN measurement shows promise for predicting recurrent wheezing risk.
  • These biomarkers may aid in the early identification of infants at risk for recurrent respiratory issues.
  • Accurate prediction can lead to timely interventions for better long-term respiratory health outcomes.
Abstract

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