Allergen detection and logistic multifactor analysis of allergic rhinitis.

OBJECTIVE

This study aims to investigate the allergens in children with allergic rhinitis (AR) and AR-related influencing factors.

PATIENTS AND

METHODS

The clinical data of 230 children with AR admitted to our hospital from June 2020 to June 2021 were retrospectively analyzed and included in the observation group. The clinical data of 230 healthy children during the same time period were included as the control group. All children had been tested for allergens using serum allergens, and the clinical data were collected by telephone questionnaires. Univariate and multivariate logistic regression were used to analyze the risk factors affecting AR.

RESULTS

A total of 230 children with AR was included in this study, and some of them had two or more allergens. The proportion of house dust mite was the highest among the inhaled allergens, about 75.22%. Shrimp accounted for the highest proportion of food allergens, about 40.87%. Compared with the control group, the proportion of floating population, home heating, allergy history, asthma and other general information in the observation group was higher. At the same time, the proportion of environmental factors such as second-hand smoke, number of residents (≤ 3), daily ventilation and cleaning (no), domestic animals, domestic plants, decoration within 2 years, and living environment (rural) in the observation group was higher. In addition, the proportion of family factors such as delivery mode (cesarean section), family history of allergic rhinitis, parents' education level (middle school and above) in the observation group was higher (p < 0.05). Univariate logistic regression analysis showed that allergic history, asthma, second-hand smoke, floating population, number of residents, domestic animals, decoration within 2 years, delivery mode, and family history of allergic rhinitis were the risk factors affecting the incidence of AR in children (p < 0.05), and daily window ventilation and cleaning were the protective factors (p < 0.05). The multivariate logistic regression analysis showed that asthma, second-hand smoke, floating population, decoration within 2 years, family history of allergic rhinitis and domestic animals were independent risk factors for the occurrence of AR (p < 0.05), and daily ventilation and cleaning were protective factors for the occurrence of AR in children (p < 0.05).

CONCLUSIONS

The proportion of house dust mite in inhalation allergens and shrimp in food allergens were the highest in AR children. The incidence of AR was closely related to asthma, second-hand smoke, floating population, decoration within 2 years, family history of AR and domestic animals, etc. Targeted measures could effectively prevent the occurrence and recurrence of AR. At the same time, daily ventilation and cleaning were the protective factors which could reduce the incidence and occurrence of AR in children.