过敏性鼻炎事实从爱尔兰儿科人群。

IF 3.2 1区 数学 Q1 STATISTICS & PROBABILITY
Annals of Statistics Pub Date : 2023-06-19 eCollection Date: 2023-12-01 DOI:10.1002/wjo2.105
Andreea Nae, Colleen B Heffernan, Michael Colreavy
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引用次数: 0

摘要

目的:评估我国最大城市儿童人群的主要过敏原。方法:回顾性分析近5年来疑似变应性鼻炎(AR)患者的临床资料。结果:共纳入555例患者。男性患AR的频率是女性的两倍,并且过敏原滴度高。屋尘螨(44.7%)和草花粉(29%)是本区主要的过敏原,其中48%的患者对两种过敏原均有过敏反应。一半的患者通过过敏原特异性测试阳性确诊为AR。对于另一半,诊断是基于儿科耳鼻喉科医生进行的临床评估。结论:半数疑似AR患儿经检测确诊为环境过敏原敏感,大量患儿经耳鼻喉科会诊后临床诊断为AR。我们的研究结果可以帮助临床医生开始考虑该地区最严重的过敏原的AR治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Allergic rhinitis facts from an Irish pediatric population.

Objective: Assessing the main allergens in the pediatric population from the largest urban area in the country.

Methods: Clinical letters of patients referred with possible allergic rhinitis (AR) were retrospectively reviewed over the past 5 years.

Results: Five hundred and fifty-five patients were included. Males suffer twice as often with AR than females and have high titers of allergens. House dust mites (44.7%) and grass pollen (29%) were the main allergens in our area, with 48% of patients sensitized to both allergens. Half of the patients had the diagnosis of AR confirmed with positive allergen-specific tests. For the other half, the diagnosis was based on a clinical assessment performed by a pediatric otolaryngologist.

Conclusions: Half of suspected AR children have environmental allergen sensitivity confirmed by testing, and a large number had a clinical diagnosis of AR after an otolaryngology consultation. Our findings can help clinicians to initiate AR treatment considering the most problematic allergens in the area.

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来源期刊
Annals of Statistics
Annals of Statistics 数学-统计学与概率论
CiteScore
9.30
自引率
8.90%
发文量
119
审稿时长
6-12 weeks
期刊介绍: The Annals of Statistics aim to publish research papers of highest quality reflecting the many facets of contemporary statistics. Primary emphasis is placed on importance and originality, not on formalism. The journal aims to cover all areas of statistics, especially mathematical statistics and applied & interdisciplinary statistics. Of course many of the best papers will touch on more than one of these general areas, because the discipline of statistics has deep roots in mathematics, and in substantive scientific fields.
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