清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Can lung function tests help identify functional phenotypes in children with asthma?

作者
Sonila Boriçi,Anxhela Qirko Gurakuqi,Ilir Akshija,Luljeta Serbo
标识
DOI:10.1183/13993003.congress-2021.pa981
摘要

Aim of the study: To evaluate the role of spirometry, BDR, and plethysmography, in identifying functional phenotypes in asthmatic children. Hypothesis: Different functional phenotypes can be identified in asthmatic children; if air-trapping is the most common functional phenotype, spirometric parameters cannot predict its presence. Material and Methods: The lung function using spirometry, BDR, and plethysmography was evaluated at asymptomatic conditions at 93 children with bronchial asthma. Multivariate logistic regression assessed the likelihood of having reversibility of FEV1 after BD, also if FEV1 and ∆FEV1 after BD can predict the presence of air-trapping. Results: 10.8% of patients had FEV1<80%; obstruction was found in 66.7% of the patients through sRaw. Positive BDR was confirmed in 50% of the patients. High FEV1 values have high chances of reversibility (χ2(4) =19.44, p = 0.02). RV detected air-trapping in 79.3% of the patients. FEV1 and ∆FEV1 after BD cannot predict the presence of air-trapping (OR 0.99, OR 1.03). Conclusion: Although basal spirometry is normal in most children with asthma, the measurement of BDR, sRaw, and static lung volumes, reveal important functional phenotypes. Plethysmographic measurement of sRaw is more sensitive than spirometry to detect bronchial obstruction. In clinically stable patients with normal spirometry, BDR serves as an early detector of bronchial dysfunction. Air-trapping is the most frequent functional phenotype; spirometric parameters cannot predict its presence. For its evaluation, it is recommended measurement of static lung volumes.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
poki发布了新的文献求助200
8秒前
脑洞疼应助科研通管家采纳,获得10
18秒前
orixero应助科研通管家采纳,获得10
18秒前
CodeCraft应助科研通管家采纳,获得10
19秒前
炜大的我应助科研通管家采纳,获得10
19秒前
poki完成签到,获得积分10
25秒前
32秒前
47秒前
随波逐流发布了新的文献求助10
53秒前
秋叶落尘完成签到 ,获得积分10
1分钟前
老邓同志完成签到 ,获得积分10
1分钟前
随波逐流发布了新的文献求助10
1分钟前
郗妫完成签到,获得积分0
1分钟前
miki完成签到 ,获得积分10
2分钟前
无花果应助科研通管家采纳,获得10
2分钟前
思源应助科研通管家采纳,获得10
2分钟前
Akim应助科研通管家采纳,获得10
2分钟前
852应助科研通管家采纳,获得10
2分钟前
小肖同学完成签到 ,获得积分10
2分钟前
Enyu完成签到 ,获得积分10
3分钟前
3分钟前
JamesPei应助里昂义务采纳,获得10
4分钟前
JUN完成签到,获得积分10
4分钟前
瞿人雄完成签到,获得积分10
4分钟前
4分钟前
没心没肺完成签到,获得积分10
4分钟前
呆萌如容完成签到,获得积分10
4分钟前
共享精神应助科研通管家采纳,获得10
4分钟前
搜集达人应助科研通管家采纳,获得10
4分钟前
英俊的铭应助科研通管家采纳,获得10
4分钟前
炜大的我应助科研通管家采纳,获得10
4分钟前
李健应助科研通管家采纳,获得10
4分钟前
4分钟前
里昂义务发布了新的文献求助10
4分钟前
4分钟前
风听完成签到 ,获得积分10
4分钟前
完美世界应助潇洒的亦凝采纳,获得10
4分钟前
5分钟前
5分钟前
LP547发布了新的文献求助10
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
Management and the Arts 310
Teaching Social and Emotional Learning in Physical Education 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7634047
求助须知:如何正确求助?哪些是违规求助? 9208098
关于积分的说明 19748203
捐赠科研通 7202416
什么是DOI,文献DOI怎么找? 3275015
关于科研通互助平台的介绍 2436932
邀请新用户注册赠送积分活动 2271918