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首页> 外文期刊>Journal of breath research >Clinical study of multiple breath biomarkers of asthma and COPD (NO, CO_2, CO and N_2O) by infrared laser spectroscopy
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Clinical study of multiple breath biomarkers of asthma and COPD (NO, CO_2, CO and N_2O) by infrared laser spectroscopy

机译：哮喘和慢性阻塞性肺病多种呼吸生物标志物（NO，CO_2，CO和N_2O）的红外激光光谱研究

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Breath analysis is a powerful non-invasive technique for the diagnosis and monitoring of respiratory diseases, including asthma and chronic obstructive pulmonary disease (COPD). Exhaled nitric oxide (NO) and carbon monoxide (CO) are markers of airway inflammation and can indicate the extent of respiratory diseases. We have developed a compact fast response quantum cascade laser system for analysis of multiple gases by tunable infrared absorption spectroscopy. The ARI breath analysis instrument has been deployed in a study of exhaled breath from patients with asthma or COPD. A total of 173 subjects participated, including both adult and pediatric patients. Patients in asthma or COPD exacerbations were evaluated twice - during the exacerbation and at a follow-up visit - to compare variations in breath biomarkers during these events. The change in exhaled NO levels between exacerbation and 'well' visits is consistent with spirometry data collected. Respiratory models are important for understanding the exchange dynamics of nitric oxide and other species in the lungs and airways. At each patient's visit, tests were conducted at four expiratory flow rates. We have applied a trumpet model with axial diffusion to the multi-flow exhaled nitric oxide data, obtaining NO alveolar concentrations and airway fluxes. We found higher airway fluxes for those with more severe asthma and during exacerbation events. The alveolar concentrations from the model were higher in adults with asthma and COPD, but this trend was less clear among the pediatric subjects.
机译：呼吸分析是用于诊断和监测呼吸系统疾病（包括哮喘和慢性阻塞性肺疾病（COPD））的强大无创技术。呼出气一氧化氮（NO）和一氧化碳（CO）是气道炎症的标志，可以指示呼吸系统疾病的程度。我们开发了一种紧凑的快速响应量子级联激光系统，用于通过可调红外吸收光谱法分析多种气体。 ARI呼吸分析仪已用于哮喘或COPD患者的呼气研究。共有173名受试者参加，包括成人和儿科患者。对哮喘或COPD急性发作的患者进行两次评估-在急性发作期间和随访期间-比较这些事件期间呼吸生物标志物的变化。恶化和“良好”就诊之间呼出NO水平的变化与所收集的肺活量测定数据一致。呼吸模型对于理解一氧化氮和其他物种在肺和气道中的交换动力学非常重要。在每次患者访视时，均以四种呼气流速进行测试。我们将具有轴向扩散的小号模型应用于多流呼出气一氧化氮数据，获得NO的肺泡浓度和气道通量。对于患有更严重哮喘和急性发作的患者，我们发现其通气通量更高。来自该模型的肺泡浓度在患有哮喘和COPD的成年人中较高，但在儿科受试者中这种趋势不太明显。

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