与严重哮喘发展相关的因素-一项全国性研究(FINASTHMA)。

IF 5.8 2区 医学 Q1 ALLERGY
Arja Viinanen, Pinja Ilmarinen, Juha Mehtälä, Juulia Jylhävä, Tero Ylisaukko-Oja, Juhana J Idänpään-Heikkilä, Hannu Kankaanranta, Lauri Lehtimäki
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引用次数: 0

摘要

背景:严重哮喘是对医疗保健的重大挑战,并对患者的生活质量产生负面影响。对预测严重哮喘发展的因素了解有限。目的:本研究旨在描述芬兰严重哮喘患者的特征,并确定严重哮喘发展的危险因素,该样本覆盖全国人口、医疗保健和药品注册数据。方法:使用2014年1月1日至2020年12月31日的数据。多年来的汇总数据被用来确定严重哮喘患者的特征。年度数据用于机器学习方法和逻辑回归,以确定预测严重哮喘发展的因素。结果:对包括242164人的汇总数据的分析显示,与非严重哮喘患者相比,严重哮喘患者多为女性,年龄稍大,多病,体重指数更高。他们也更多地使用与哮喘无关的药物,表现为多种药物。来自6908例患者的年度数据显示,51-60岁(比值比3.90[95%可信区间(CI): 3.42-4.47])、慢性鼻窦炎(比值比2.48 [95% CI: 2.12-2.89])和较高的血嗜酸性粒细胞计数(≥600个细胞/μl,比值比2.10 [95% CI: 1.56-2.28])是发生严重哮喘的最显著预测因素。在严重哮喘发病前一年,所有药物(非哮喘和哮喘药物)的使用量均有所增加。结论:本研究结果为早期识别重症哮喘患者提供了临床相关的危险因素谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factors associated with the development of severe asthma: A nationwide study (FINASTHMA).

Background: Severe asthma presents a major challenge to health care and negatively affects the quality of life of patients. Understanding the factors predicting the development of severe asthma is limited.

Objective: To characterize patients with severe asthma and establish risk factors for the development of severe asthma in a Finnish sample with a nationwide coverage of population, health care, and drug register data.

Methods: We used data between January 1, 2014 and December 31, 2020. Pooled data over the years were used to identify characteristics of patients with severe asthma. Annual data were used in machine learning methods and logistic regression to identify factors predicting the development of severe asthma.

Results: Analysis of pooled data including 242,164 individuals revealed that patients with severe asthma were more often women, slightly older, multimorbid, and had higher body mass index values compared with patients with nonsevere asthma. They also had higher use of nonasthma-related medications, manifesting as polypharmacy. Annual data from 6908 patients revealed that the most significant predictors of the development of severe asthma were being aged 51 to 60 years (odds ratio [OR] 3.90 [95% CI: 3.42-4.47]), chronic sinusitis (OR 2.48 [95% CI: 2.12-2.89]), and higher blood eosinophil counts (≥600 cells/μL, OR 2.10 [95% CI: 1.56-2.28]). Increases in all medications (nonasthma and asthma medications) were observed in the year before the onset of severe asthma.

Conclusion: The results provide a clinically relevant risk factor profile for early identification of the patients at risk of developing severe asthma.

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来源期刊
CiteScore
6.50
自引率
6.80%
发文量
437
审稿时长
33 days
期刊介绍: Annals of Allergy, Asthma & Immunology is a scholarly medical journal published monthly by the American College of Allergy, Asthma & Immunology. The purpose of Annals is to serve as an objective evidence-based forum for the allergy/immunology specialist to keep up to date on current clinical science (both research and practice-based) in the fields of allergy, asthma, and immunology. The emphasis of the journal will be to provide clinical and research information that is readily applicable to both the clinician and the researcher. Each issue of the Annals shall also provide opportunities to participate in accredited continuing medical education activities to enhance overall clinical proficiency.
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