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A Component-resolved Diagnostic Approach for a Study on Grass Pollen Allergens in Chinese Southerners with Allergic Rhinitis and/or Asthma

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Inhalant Allergen Sensitization: Prevalence, Risk Factors, and Geographic Variation in the USA.

Kenny Kwong¹, Zhen Chen², Lyne Scott³

¹Department of Pediatrics, Los Angeles General Medical Center, University of Southern California Keck School of Medicine, Los Angeles, California, USA, ykwong@dhs.lacounty.gov.

International Archives of Allergy and Immunology

|May 28, 2025

Summary

This summary is machine-generated.

Allergic sensitization to common allergens like dust mites and pollen varies by age, sex, and location. These factors are crucial for accurate allergy diagnosis and treatment selection.

Keywords:

Geography Inhalant allergen Risk factors Seasonal allergen Sensitization USA

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Area of Science:

Immunology
Allergology
Epidemiology

Background:

Assessing IgE-mediated sensitization to perennial (dust mite, animal) and seasonal (tree, grass, weed, mold/fungi) allergens.
Utilizing data from a national clinical reference laboratory (Quest Diagnostics) for comprehensive analysis.

Purpose of the Study:

To determine the prevalence of allergic sensitization to various common allergens.
To investigate demographic, geographic, and clinical associations with allergic sensitization.

Main Methods:

Included patients tested in 2019 for specific IgE to dust mites, animals, trees, grasses, weeds, and mold/fungi.
Defined sensitization as specific IgE ≥0.10 kU/L within a source.
Employed chi-square tests and multivariate logistic regression for statistical analysis.

Main Results:

Prevalence: dust mite (38.0%), animal (32.1%), tree (34.5%), grass (30.3%), weed (31.2%), mold/fungi (19.7%).
Higher prevalence in males, peaking in 10-19 year olds, and in large metropolitan areas.
Increased sensitization observed in patients with asthma, atopic dermatitis, or rhinitis; regional variations noted.

Conclusions:

Allergic sensitization is linked to age, sex, geographic location (urbanization, census regions), and existing allergic conditions.
Consideration of these factors is vital for optimizing allergen panels in allergy diagnosis and treatment.