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Breath by breath analysis of breathing pattern in health and disease: a potential outcome measure for breathing retraining?

机译:通过呼吸分析健康和疾病的呼吸模式:呼吸再训练的潜在结果指标?

摘要

Analysis of breathing pattern can quantify parameters of breathing such as rate, volume, timing and regularity/rhythmicity. This information can be useful to compare breathing patterns in those healthy and with disease, under different experiment conditions (such as rest versus activity) and to monitor changes over time. In this research, respiratory inductive plethysmography (RIP) was used to record breathing patterns in a group of healthy subjects and a group of severe asthma patients. RIP is a leading technology for ambulatory monitoring of breathing, but traditional RIP devices suffered from poor signal quality under such conditions due to movement of the sensor. Several authors have also raised doubts about the existing calibration methods for RIP which can lead to inaccurate estimation of breathing parameters. During the first phase of the programme, an instrumented garment (LifeShirt®) which had RIP embedded within was tested for its validity in comparison to a pneumotachograph (PT). The first study sought to validate the measurements obtained from the LifeShirt ®against PT when calibrated with a published but yet to be tested method for breath by breath analysis and to address the limitations of existing calibration methods. Eleven healthy individuals took part in this first study. Breathing patterns were simultaneously monitored by the LifeShirt ® and the PT during thirty minutes of rest and twenty minutes of exercise. Parameters of tidal volume, expiration time and tidal volume variability were recorded and compared between devices. The analysis from the first study demonstrated that RIP recorded proportionate changes of tidal volume and expiration duration relative to PT during quiet breathing and exercise. Mean tidal volume and expiration duration between devices was strongly correlated for rest and exercise. No statistical difference in tidal volume variability was observed between devices during either period. Significant differences in expiration duration between devices were observed in all participants at rest but not during exercise. Results of this first study demonstrated that valid breath by breath analysis using RIP without PT was feasible. This is clinically advantageous due to simplicity of set-up for RIP.In the second phase, measurement of breathing patterns was made in severe asthma patients with the LifeShirt® alone during thirty minutes of rest. It intended to add new knowledge with regards to the breathing patterns within this small population as compared to the healthy population. Ten healthy individuals and ten patients diagnosed with severe asthma took part in the second study. Breathing parameters of tidal volume, inspiration time, expiration time, end tidal carbon dioxide levels, tidal volume variability and end tidal carbon dioxide levels variability were recorded by the LifeShirt®. The analysis of the second phase shown no evidence that breathing pattern parameters could differentiate between the severe asthma patients and healthy volunteers in our small study. The symptoms of hyperventilation found more commonly in the severe asthma group were not associated with differences in breathing pattern parameters. However, considerable differences were found between individuals. This suggests the existence of individuality in breathing patterns between individuals. Such findings raised doubts as to whether there is a group ‘pattern’ that is common within the severe asthma population or within the healthy population. This programme calls for a change in paradigm to consider breathing patterns as an unique individual ‘trait’ rather than as a group characteristic.
机译:呼吸模式的分析可以量化呼吸的参数,例如速率,音量,时间和规律性/节律性。该信息对于在不同实验条件下(例如休息与活动)比较健康和患有疾病的人的呼吸模式以及监测随时间的变化可能很有用。在这项研究中,使用呼吸诱导体积描记法(RIP)记录了一组健康受试者和一组严重哮喘患者的呼吸模式。 RIP是动态监测呼吸的领先技术,但是传统的RIP设备在这种情况下会由于传感器的移动而导致信号质量差。一些作者还对RIP的现有校准方法提出了疑问,该校准方法可能导致呼吸参数的估计不准确。在该计划的第一阶段中,测试了内置有RIP的仪器化服装(LifeShirt®)与气动速度描记器(PT)的有效性。第一项研究试图验证使用已发布但尚未通过呼吸分析进行测试的方法对LifeShirt®againstPT进行校准后获得的测量结果,并解决现有校准方法的局限性。十一名健康个体参加了该第一项研究。在休息30分钟和运动20分钟的过程中,LifeShirt®和PT同时监测呼吸模式。记录潮气量,呼气时间和潮气量变异性的参数,并在设备之间进行比较。第一项研究的分析表明,RIP记录了安静呼吸和运动期间潮气量和呼气持续时间相对于PT的变化。装置之间的平均潮气量和有效期与休息和运动密切相关。在任何一个时期内,设备之间的潮气量变异性均无统计学差异。所有参与者在休息时都观察到器械之间的有效期有显着差异,但运动时没有观察到。这项第一项研究的结果表明,使用不带PT的RIP通过呼吸分析进行有效呼吸是可行的。由于RIP的设置简单,因此在临床上具有优势。在第二阶段,仅使用LifeShirt®在休息30分钟的情况下,即可对严重哮喘患者的呼吸模式进行测量。与健康人群相比,它旨在增加有关这一小人群呼吸模式的新知识。十名健康个体和十名被诊断患有严重哮喘的患者参加了第二项研究。通过LifeShirt®记录潮气量,吸气时间,呼气时间,潮气末二氧化碳水平,潮气量变化率和潮气末二氧化碳水平变化率的呼吸参数。在第二阶段的分析中,没有证据表明在我们的小型研究中,呼吸模式参数可以区分重度哮喘患者和健康志愿者。在严重哮喘组中更常见的过度换气症状与呼吸模式参数的差异无关。然而,发现个体之间存在相当大的差异。这表明在个体之间的呼吸模式中存在个体性。这些发现使人们怀疑是否存在严重哮喘人群或健康人群中常见的“模式”。该计划要求改变范例,将呼吸模式视为独特的个体“特征”,而不是群体特征。

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  • 作者

    Lo Wai;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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