Allergic Risk Among the Children in Southern China: The Association of Influencing Factors with the Allergen

Jieyan Ma1, Genfeng Wu2, Heming Huang1

  • 1Clinical Laboratory, Longgang District Maternity & Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital (Longgang) of Shantou University Medical College), Shenzhen, Guangdong, People's Republic of China.

PubMed

Insights

Accurate allergy diagnosis in children is challenging. This study found mites, cow

Area of Science:

  • Pediatric Allergy and Immunology
  • Clinical Diagnostics
  • Immunology

Background:

  • Pediatric allergy diagnosis is complicated by atypical clinical symptoms in children.
  • Identifying allergen distribution is crucial for effective diagnosis and management of pediatric allergic diseases.

Purpose of the Study:

  • To investigate the distribution of 28 common allergens in children with suspected allergies.
  • To analyze the relationship between allergen distribution, age, and clinical manifestations in pediatric allergy patients.

Main Methods:

  • Serum-specific IgE levels were analyzed in 12,292 children with suspected allergies in Shenzhen.
  • Relevance analysis was performed to identify factors influencing allergen distribution.

Main Results:

  • The overall allergen distribution was 66.36%, with mites, cow's milk, and egg white being the most prevalent.
  • Indoor allergens were more common than outdoor allergens, and significant cross-reactivity was observed among certain allergens.
  • Allergen prevalence varied with age, and specific allergens were associated with particular allergic conditions (e.g., mites with allergic rhinitis/conjunctivitis, milk/egg with dermatitis).

Conclusions:

  • Age and allergen cross-reactivity are critical factors in diagnosing childhood allergies.
  • Understanding age-specific sensitivities and cross-reactions aids in comprehensive allergy assessment.
  • Results can inform pediatricians in developing targeted prevention and management strategies.
Abstract

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