Validity of fractional exhaled nitric oxide and small airway function indices in diagnosis of cough-variant asthma

医学 呼出气一氧化氮 哮喘 接收机工作特性 呼气 气道 内科学 慢性咳嗽 曲线下面积 肺功能测试 胃肠病学 切断 支气管高反应性 麻醉 肺活量测定 呼吸道疾病 肺 物理 量子力学
作者
Feng-jia Chen,Huang Xin-yan,Geng-peng Lin,Yang-Li Liu,Canmao Xie
出处
期刊:Journal of Asthma [Taylor & Francis]
卷期号:55 (7): 750-755 被引量:22
标识
DOI:10.1080/02770903.2017.1366509
摘要

Objective: Fractional exhaled nitric oxide (FeNO) is a non-invasive method used to reveal the eosinophilic inflammation of airway and to diagnose and manage asthma. The use of FeNO measurement or its combination with the small airway function in differentiating CVA patients from chronic cough patients is unexplored. Methods: From December 2012 to June 2016, patients with chronic non-productive cough for more than 8 weeks based on physician's opinion were subjected to FeNO, pulmonary function, and bronchial hyperresponsiveness (BHR) tests. Receiver operating characteristic (ROC) curves were obtained to evaluate the clinical value of FeNO and small airways indices in CVA diagnosis. The optimal cutoff point for the level of FeNO was also determined. Results: The FeNO value in the CVA group was significantly higher than that in the non-cough-variant asthma (NCVA) group [42(41) parts per billion (ppb) vs. (16(11) ppb), P < 0.05]. The area under the ROC curve was estimated to be 0.874 for FeNO. An optimal cutoff point of 25 ppb had respective sensitivity and specificity values of 81.3% and 84.0% in differentiating CVA patients from NCVA patients. The CVA group showed small airway dysfunction, and the small airway resistance was significantly higher than in the NCVA group. The area under the ROC curve of FeNO combined with maximal midexpiratory flow (MEF) (% predicted) was 0.883, and that combined with MEF50 (% predicted) was 0.886. Conclusions: The measurement of FeNO is a non-invasive, reproducible, and sensitive method of differentiating CVA patients from NCVA patients. A combination of the level of FeNO (25 ppb) and the abnormal small airway function suggested higher CVA possibility, thereby resulting in a rapid diagnosis. Unnecessary treatments are avoided. This finding provides a new perspective for the management of patients with CVA.
最长约 10秒,即可获得该文献文件

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
aajhajkahna举报嘿嘿的求助涉嫌违规
1秒前
微笑的天抒完成签到,获得积分0
3秒前
4秒前
风格完成签到,获得积分10
5秒前
小白完成签到 ,获得积分10
5秒前
scfsl完成签到,获得积分10
8秒前
dongdong完成签到 ,获得积分10
9秒前
9秒前
静心求真金教授完成签到,获得积分10
10秒前
viczhang完成签到,获得积分10
11秒前
滕皓轩发布了新的文献求助10
12秒前
joicy完成签到 ,获得积分10
13秒前
14秒前
什么也难不倒我完成签到 ,获得积分10
15秒前
16秒前
跳跃的青完成签到,获得积分10
19秒前
优秀的大船完成签到,获得积分10
20秒前
22秒前
科目三的应助被拼搏的slade采纳,获得10
24秒前
XS_QI完成签到 ,获得积分10
25秒前
27秒前
穿山的百足公主完成签到,获得积分10
27秒前
甜美刺猬完成签到 ,获得积分10
28秒前
行者无疆发布了新的文献求助10
28秒前
30秒前
深情安青的应助被Nyan采纳,获得10
31秒前
她的城完成签到,获得积分0
33秒前
Coatings完成签到 ,获得积分10
33秒前
yy完成签到 ,获得积分10
34秒前
36秒前
ZeroTwo完成签到 ,获得积分10
39秒前
舒服的西装完成签到,获得积分10
41秒前
aajhajkahna举报飘逸的雨真的求助涉嫌违规
49秒前
planA完成签到 ,获得积分10
51秒前
雪山飞龙发布了新的文献求助50
58秒前
大师兄完成签到 ,获得积分10
1分钟前
1分钟前
BecksTse完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
The Student's Guide to Social Neuroscience 800
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Production Logging: Theoretical and Interpretive Elements 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7813084
求助须知:如何正确求助?哪些是违规求助? 9343853
关于积分的说明 20519837
捐赠科研通 7405874
什么是DOI,文献DOI怎么找? 3330320
关于科研通互助平台的介绍 2476977
邀请新用户注册赠送积分活动 2349869