[1]高明华,吴玲芝,刘 孟,等.2022~2024年西安地区疑似过敏患者血清过敏原sIgE阳性率与空气质量指标及时间序列的相关性分析[J].现代检验医学杂志,2026,41(03):55-60.[doi:10.3969/j.issn.1671-7414.2026.03.010]
　GAO Minghua,WU Lingzhi,LIU Meng,et al.Correlation and Time Series Analysis between Serum Allergen sIgE Positivity Rate and Air Quality Indicators in the Xi’an Region, 2022~2024[J].Journal of Modern Laboratory Medicine,2026,41(03):55-60.[doi:10.3969/j.issn.1671-7414.2026.03.010]
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2022~2024年西安地区疑似过敏患者血清过敏原sIgE阳性率与空气质量指标及时间序列的相关性分析()

《现代检验医学杂志》[ISSN:/CN:]

卷:
第41卷
期数:
2026年03期
页码:
55-60
栏目:
论著
出版日期:
2026-05-13

文章信息/Info

Title:
Correlation and Time Series Analysis between Serum Allergen sIgE Positivity Rate and Air Quality Indicators in the Xi’an Region, 2022~2024
文章编号:
1671-7414（2026）03-055-06
作者:
高明华，吴玲芝，刘 孟，王 莉，王晨阳，施瑞洁，李 静，刘文康
陕西省人民医院检验科，西安 710068
Author(s):
GAO Minghua，WU Lingzhi，LIU Meng，WANG Li，WANG Chenyang，SHI Ruijie，LI Jing，LIU Wenkang
Department of Laboratory Medicine, Shaanxi Provincial People’s Hospital, Xi’an 710068, China
关键词:
西安地区; 过敏原; 特异性免疫球蛋白E; 空气质量; 时间序列分析
分类号:
R392.8；R446
DOI:
10.3969/j.issn.1671-7414.2026.03.010
文献标志码:
A
摘要:
目的探讨西安地区过敏原特异性IgE（sIgE）与空气质量指标的关联及时间序列特征。方法回顾性分析2022~2024年陕西省人民医院6262例疑似过敏患者血清中14种吸入性及8种食入性过敏原sIgE检测结果，结合同期西安市PM2.5、PM10、臭氧（O3）、二氧化氮（NO2）、二氧化硫（SO2）、一氧化碳（CO）、空气质量指数（AQI）及平均温度月度空气质量数据，采用多污染物回归、广义线性模型（GLM）、主成分分析（PCA）和季节性分解的时序和季节性自回归综合移动平均模型（STL-SARIMA），系统分析sIgE阳性率与空气质量指标之间的关联模式、独立效应、污染驱动类型、季节性波动特征和预测趋势。结果吸入性过敏原中以粉尘螨（20.58%）、牧草（18.99%）及狗牙根草（18.80%）sIgE阳性率较高；食入性过敏原中鸡蛋白sIgE阳性率最高（30.29%）。多污染物模型显示O3是花粉类sIgE阳性的独立危险因素，其浓度每升高10μg/m?，屋尘螨、狗牙根草及艾蒿sIgE阳性率分别增加1.29%、0.74%与1.52%（均P<0.05）。广义线性模型提示O3浓度升高10μg/m?时，屋尘螨与艾蒿sIgE阳性风险分别增加28%与42%。主成分分析提取出“夏季光化学污染”成分，与花粉sIgE呈显著正相关（ρ=0.393~0.479）。STL-SARIMA模型显示花粉sIgE具有明显季节性波动并呈上升趋势，预测2025年夏季将达到峰值。结论西安地区花粉致敏主要受夏季O3与高温驱动，食入性过敏原致敏则与室外污染物无显著关联，建议制定基于季节性特征与过敏原类型的差异化公共卫生策略。
Abstract:
Objective To investigate the association between allergen-specific IgE (sIgE) and air quality indicators in Xi'an, as well as their time-series characteristics. Methods Retrospective analysis of serum sIgE test results for 14 inhalant and 8 ingestant allergens in 6 262 suspected allergy patients at Shaanxi Provincial People’s Hospital from 2022 to 2024. Concurrent monthly air quality data for Xi’an, including PM2.5, PM10, ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), Air Quality Index (AQI), and monthly average temperature data. Through spearman correlation analysis, multi-pollutant regres-sion analysis, generalized linear models (GLM), principal component analysis (PCA), and seasonal time-series auto-regressive integrated moving average (STL-SARIMA) model the association patterns, independent effects, pollution-driven types, seasonal fluctuation characteristics, and future prediction trends between sIgE positivity rates and air quality indicators were comprehen-sively analyzed. Results Among inhalant allergens, dust mites (20.58%), grasses (18.99%), and Bermuda grass (18.80%) exhib-ited higher sIgE positivity rates; among ingestant allergens, egg white showed the highest sIgE positivity rate (30.29%). The multi-pollutant model indicated that O3 was an independent risk factor for pollen-specific sIgE positivity. For every 10 μg/m? in-crease in O3 concentration, the sIgE positivity rates for house dust mite, Bermuda grass, and mugwort increased by 1.29%, 0.74%, and 1.52%, respectively (all P<0.05). The generalized linear model indicated that a 10 μg/m? increase in O3 concentration raised the risk of house dust mite and mugwort sIgE positivity by 28% and 42%, respectively. Principal component analysis extracted a“summer photochemical pollution” component significantly positively correlated with pollen sIgE (ρ=0.393~0.479). The STL-SARIMA model revealed pronounced seasonal fluctuations and an upward trend in pollen sIgE, projecting a peak in summer 2025. Conclusions Pollen sensitization in Xi’an is primarily driven by summer O3 and high temperatures, while sensitization to ingestive allergens shows no significant association with outdoor pollutants. Differentiated public health strategies based on seasonal characteristics and allergen types are recommended.

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备注/Memo

备注/Memo:
作者简介：高明华（1986-），女，本科，主管检验师，研究方向：医学免疫学检验技术，E-mail：345809297@qq.com。
通讯作者：刘文康（1972-），男，博士，副研究员，研究方向：医学免疫学检验技术，E-mail：lwk2001@263.net。
更新日期/Last Update: 2026-05-15