Department of Pulmonology and Sleep Disorders Centre, University Hospital of Zurich, Zurich, Switzerland.
Department of Chemistry and Applied Biosciences, Swiss Federal Institute of Technology, Zurich, Switzerland.
Thorax. 2016 Feb;71(2):110-7. doi: 10.1136/thoraxjnl-2015-207597. Epub 2015 Dec 15.
Obstructive sleep apnoea (OSA) is highly prevalent and associated with cardiovascular and metabolic changes. OSA is usually diagnosed by polysomnography which is time-consuming and provides little information on the patient's phenotype thus limiting a personalised treatment approach. Exhaled breath contains information on metabolism which can be analysed by mass spectrometry within minutes. The objective of this study was to identify a breath profile in OSA recurrence by use of secondary-electrospray-ionization-mass spectrometry (SESI-MS).
Patients with OSA effectively treated with CPAP were randomised to either withdraw treatment (subtherapeutic CPAP) or continue therapeutic CPAP for 2 weeks. Exhaled breath analysis by untargeted SESI-MS was performed at baseline and 2 weeks after randomisation. The primary outcome was the change in exhaled molecular breath pattern.
30 patients with OSA were randomised and 26 completed the trial according to the protocol. CPAP withdrawal led to a recurrence of OSA (mean difference in change of oxygen desaturation index between groups +30.3/h; 95% CI 19.8/h,40.7/h, p<0.001) which was accompanied by a significant change in 62 exhaled features (16 metabolites identified). The panel of discriminating mass-spectral features allowed differentiation between treated and untreated OSA with a sensitivity of 92.9% and a specificity of 84.6%.
Exhaled breath analysis by SESI-MS allows rapid and accurate detection of OSA recurrence. The technique has the potential to characterise an individual's metabolic response to OSA and thus makes a comprehensible phenotyping of OSA possible.
NCT02050425 (registered at ClinicalTrials.gov).
阻塞性睡眠呼吸暂停(OSA)的发病率很高,与心血管和代谢变化有关。OSA 通常通过多导睡眠图(PSG)进行诊断,这种方法既费时又无法提供患者表型的详细信息,从而限制了个性化的治疗方法。呼气中包含有关代谢的信息,可以通过质谱仪在数分钟内进行分析。本研究的目的是通过二次电喷雾电离质谱(SESI-MS)识别 OSA 复发的呼吸特征谱。
经过 CPAP 有效治疗的 OSA 患者被随机分为停止治疗(亚治疗 CPAP)或继续治疗 CPAP 2 周。在基线和随机分组后 2 周进行呼气分析,采用非靶向 SESI-MS。主要结局是呼出分子呼吸模式的变化。
30 例 OSA 患者被随机分组,26 例按方案完成试验。CPAP 停止导致 OSA 复发(组间差异变化的氧减饱和指数为 +30.3/h;95%CI 为 19.8/h,40.7/h,p<0.001),同时呼出特征发生了显著变化,有 62 个特征(鉴定出 16 种代谢物)。区分质量光谱特征的面板允许区分治疗和未治疗的 OSA,其灵敏度为 92.9%,特异性为 84.6%。
SESI-MS 呼气分析可快速准确地检测 OSA 复发。该技术有可能对个体对 OSA 的代谢反应进行特征描述,从而实现对 OSA 的可理解表型。
NCT02050425(ClinicalTrials.gov 登记)。