首页> 美国卫生研究院文献>Molecules >The Influence of Smoking Status on Exhaled Breath Profiles in Asthma and COPD Patients
【2h】

The Influence of Smoking Status on Exhaled Breath Profiles in Asthma and COPD Patients

机译:吸烟状态对哮喘和COPD患者呼出呼吸谱的影响

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Breath analysis using eNose technology can be used to discriminate between asthma and COPD patients, but it remains unclear whether results are influenced by smoking status. We aim to study whether eNose can discriminate between ever- vs. never-smokers and smoking <24 vs. >24 h before the exhaled breath, and if smoking can be considered a confounder that influences eNose results. We performed a cross-sectional analysis in adults with asthma or chronic obstructive pulmonary disease (COPD), and healthy controls. Ever-smokers were defined as patients with current or past smoking habits. eNose measurements were performed by using the SpiroNose. The principal component (PC) described the eNose signals, and linear discriminant analysis determined if PCs classified ever-smokers vs. never-smokers and smoking <24 vs. >24 h. The area under the receiver–operator characteristic curve (AUC) assessed the accuracy of the models. We selected 593 ever-smokers (167 smoked <24 h before measurement) and 303 never-smokers and measured the exhaled breath profiles of discriminated ever- and never-smokers (AUC: 0.74; 95% CI: 0.66–0.81), and no cigarette consumption <24h (AUC 0.54, 95% CI: 0.43–0.65). In healthy controls, the eNose did not discriminate between ever or never-smokers (AUC 0.54; 95% CI: 0.49–0.60) and recent cigarette consumption (AUC 0.60; 95% CI: 0.50–0.69). The eNose could distinguish between ever and never-smokers in asthma and COPD patients, but not recent smokers. Recent smoking is not a confounding factor of eNose breath profiles.
机译:使用ENOSE技术的呼气分析可用于区分哮喘和COPD患者,但仍然尚不清楚结果是否受到吸烟状态的影响。我们的目标是研究Enose是否可以在呼出的呼吸前歧视Ever-Vs.24 vs.24小时,如果吸烟可以被认为是一个影响所产生的混淆。我们在哮喘或慢性阻塞性肺病(COPD)和健康对照中的成人进行了横截面分析。有没有吸烟者被定义为具有当前或过去的吸烟习惯的患者。通过使用气体糖来进行灭菌测量。主成分(PC)描述了所产生的信号,并且线性判别分析确定PCS分类是否吸烟者与非吸烟者和吸烟24小时。接收器操作员特征曲线(AUC)下的区域评估了模型的准确性。我们选择了593名有吸烟者(测量前167次熏制了24小时)和303名从不吸烟者,并测量了歧视的呼出障碍的呼出障碍(AUC:0.74; 95%CI:0.66-0.81),没有卷烟消耗<24h(AUC 0.54,95%CI:0.43-0.65)。在健康的控制中,Enoses没有区分以往或烟草(AUC 0.54; 95%CI:0.49-0.60)和最近的卷烟消费(AUC 0.60; 95%CI:0.50-0.69)。 Enoses可以区分哮喘和COPD患者的永远和吸烟,但最近的吸烟者不是。最近的吸烟不是对呼吸概况产生的混杂因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号