机构：[1]Institute of Urban Meteorology, China Meteorological Administration, Beijing, China[2]Beijing Meteorological Service Center, Beijing, China[3]Department of Allergy, Beijing Tongren Hospital, Capital Medical University, Beijing, China临床科室变态反应科首都医科大学附属北京同仁医院首都医科大学附属同仁医院[4]Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, Beijing, China研究所耳鼻咽喉科研究所首都医科大学附属北京同仁医院首都医科大学附属同仁医院[5]Research Unit of Diagnosis and Treatment of Chronic Nasal Diseases, Chinese Academy of Medical Sciences, Beijing, China[6]Beijing Municipal Climate Center, Beijing, China
BackgroundArtemisia 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. ObjectiveTo develop a model of Artemisia pollen grading to predict development in patients with pollen allergy. MethodsArtemisia 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 to develop a statistical model of pollen deposition and provide optimised threshold values. ResultsA logarithmic correlation existed between the number of patients with Artemisia pollen allergy and Artemisia pollen deposition, and the average pollen deposition for three consecutive days was most correlated with the number of allergic patients. Based on the threshold of the number of patients and the characteristics of Artemisia pollen, a five-stage pollen deposition grading model was developed to predict the degree of pollen allergy. ConclusionsGraded prediction of pollen deposition may help pollen allergic populations benefit from preventive interventions before onset.
基金：
Beijing science and technology commission science and technology planning project [Z191100009119013]
第一作者机构：[1]Institute of Urban Meteorology, China Meteorological Administration, Beijing, China[2]Beijing Meteorological Service Center, Beijing, China
共同第一作者：
通讯作者：
通讯机构：[3]Department of Allergy, Beijing Tongren Hospital, Capital Medical University, Beijing, China[4]Beijing Key Laboratory of Nasal Diseases, Beijing Institute of Otolaryngology, Beijing, China[5]Research Unit of Diagnosis and Treatment of Chronic Nasal Diseases, Chinese Academy of Medical Sciences, Beijing, China[*1]Department of Allergy, Beijing Tongren Hospital, Capital Medical University, No. 1, Dongjiaominxiang, Dongcheng District, Beijing 100730, China.
推荐引用方式(GB/T 7714)：
Yin Zhaoyin,Ouyang Yuhui,Dang Bing,et al.Pollen grading prediction scale for patients with Artemisia pollen allergy in China: A 3-day moving predictive model[J].CLINICAL AND TRANSLATIONAL ALLERGY.2023,13(7):doi:10.1002/clt2.12280.
APA：
Yin, Zhaoyin,Ouyang, Yuhui,Dang, Bing&Zhang, Luo.(2023).Pollen grading prediction scale for patients with Artemisia pollen allergy in China: A 3-day moving predictive model.CLINICAL AND TRANSLATIONAL ALLERGY,13,(7)
MLA：
Yin, Zhaoyin,et al."Pollen grading prediction scale for patients with Artemisia pollen allergy in China: A 3-day moving predictive model".CLINICAL AND TRANSLATIONAL ALLERGY 13..7(2023)
