Pollen grading prediction scale for patients with Artemisia pollen allergy in China: A 3-day moving predictive model.

ABSTRACT:

Background

Artemisia pollen is the most prevalent outdoor aeroallergen causing respiratory allergies in Beijing, China. Pollen allergen concentrations have a direct impact on the quality of life of those suffering from allergies. Artemisia pollen deposition grading predictions can provide early warning for the protection and treatment of patients as well as provide a scientific basis for allergen specific clinical immunotherapy.

Objective

To develop a model of Artemisia pollen grading to predict development in patients with pollen allergy.

Methods

Artemisia pollen data from four pollen monitoring stations in Beijing as well as the number of Artemisia pollen allergen serum specific immunoglobulin E positive cases in Beijing Tongren Hospital from 2014 to 2016 were used

SUBMITTER: Yin Z 

PROVIDER: S-EPMC10332133 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature