Validation of breath biomarkers for obstructive sleep apnea.

BACKGROUND AND OBJECTIVES: Obstructive sleep apnea (OSA) is an underdiagnosed respiratory disease with negative metabolic and cardiovascular effects. The current gold standard for diagnosing OSA is in-hospital polysomnography, a time-consuming and costly procedure, often inconvenient for the patient. Recent studies revealed evidence for the potential of breath analysis for the diagnosis of OSA based on a disease-specific metabolic pattern. However, none of these findings were validated in a larger and broader cohort, an essential step for its application in clinics. METHODS: In the present study, we validated a panel of breath biomarkers in a cohort of patients with possible OSA (N = 149). These markers were previously identified in our group by secondary electrospray ionization high-resolution mass spectrometry (SESI-HRMS). RESULTS: Here, we could confirm significant differences between metabolic patterns in exhaled breath from OSA patients compared to control subjects without OSA as well as the association of breath biomarker levels with disease severity. Our prediction of the diagnosis for the patients from this completely independent validation study using a classification model trained on the data from the previous study resulted in an area under the receiver operating characteristic curve of 0.66, which is comparable to questionnaire-based OSA screenings. CONCLUSIONS: Thus, our results suggest that breath analysis by SESI-HRMS might be useful to screen for OSA as an objective measure. However, its true predictive power should be tested in combination with OSA screening questionnaires. CLINICAL TRIAL: "Mass Spectral Fingerprinting in Obstructive Sleep Apnoea", NCT02810158, www.ClinicalTrials.gov.

Obstructive Sleep Apnoea in Children and Adolescents with Ehlers-Danlos Syndrome.

BACKGROUND: In Ehlers-Danlos syndrome (EDS), a group of monogenic disorders affecting connective tissues, obstructive sleep apnoea (OSA) is highly prevalent in adults. The prevalence of OSA in children with EDS is unknown. OBJECTIVES: This prospective cross-sectional study aimed at determining the prevalence of OSA in paediatric EDS patients. METHODS: Children with EDS (n = 24) were recruited from the Children's Hospital Zurich and matched to healthy controls. Participants completed home respiratory polygraphy and questionnaires (Sleep-Related Breathing Disorder Scale [SRBD], Epworth Sleepiness Scale [ESS], and Child Health Questionnaire [CHQ]). The American Academy of Sleep Medicine criteria were applied for OSA diagnosis (obstructive apnoea-hypopnoea index [oAHI] ≥1/h). Conditional logistic regression was used to compare the prevalence of OSA and to adjust for possible confounding. RESULTS: OSA was found in 42% of paediatric EDS patients and in 13% of matched controls (OR = 4.5, 95% CI = 0.97-20.83, p = 0.054). The median oAHI was higher in EDS patients than in controls (0.77/h, IQR = 0.19-1.76, vs. 0.24/h, IQR = 0.0-0.60, p < 0.001 adjusted for age, sex, and BMI z-score). EDS patients had lower scores in most CHQ scales and higher SRBD and ESS scores than controls (0.26, IQR = 0.1-0.35, vs. 0.07, IQR = 0-0.19, p = 0.004); 7 ± 4 vs. 5 ± 4, p = 0.033, respectively). CONCLUSION: OSA is a previously underestimated EDS-related complication increasing disease burden.

Effects of short-term continuous positive airway pressure withdrawal on cerebral vascular reactivity measured by blood oxygen level-dependent magnetic resonance imaging in obstructive sleep apnoea: a randomised controlled trial.

Impaired cerebral vascular reactivity (CVR) increases long-term stroke risk. Obstructive sleep apnoea (OSA) is associated with peripheral vascular dysfunction and vascular events. The aim of this trial was to evaluate the effect of continuous positive airway pressure (CPAP) withdrawal on CVR.41 OSA patients (88% male, mean age 57±10 years) were randomised to either subtherapeutic or continuation of therapeutic CPAP. At baseline and after 2 weeks, patients underwent a sleep study and magnetic resonance imaging (MRI). CVR was estimated by quantifying the blood oxygen level-dependent (BOLD) MRI response to breathing stimuli.OSA did recur in the subtherapeutic CPAP group (mean treatment effect apnoea-hypopnoea index +38.0 events·h-1, 95% CI 24.2-52.0; p<0.001) but remained controlled in the therapeutic group. Although there was a significant increase in blood pressure upon CPAP withdrawal (mean treatment effect +9.37 mmHg, 95% CI 1.36-17.39; p=0.023), there was no significant effect of CPAP withdrawal on CVR assessed via BOLD MRI under either hyperoxic or hypercapnic conditions.Short-term CPAP withdrawal did not result in statistically significant changes in CVR as assessed by functional MRI, despite the recurrence of OSA. We thus conclude that, unlike peripheral endothelial function, CVR is not affected by short-term CPAP withdrawal.

Metabolic effects of inhaled salbutamol determined by exhaled breath analysis.

We explore whether real-time breath analysis by high resolution mass spectrometry is suitable to monitor changes at the metabolic level due to inhaling bronchodilator medication. We compared the breath levels of metabolites in a group of patients (n = 50) at baseline and 10 and 30 min after inhalation of 200 µg salbutamol. The same procedure was performed with a group of controls (n = 48) inhaling a placebo spray. A total of 131 mass spectral features were significantly altered as a result of inhaling medication, but not after inhaling placebo. We found that homologous series of chemical classes correlated strongly with each other, strengthening the notion that certain biochemical processes can be monitored. For example, a series of fatty acids was found to be increased after salbutamol intake, suggesting lipolysis stimulation. Peaks corresponding to salbutamol, its main metabolite salbutamol-4-O-sulfate and formoterol were found to be generally increased in patients inhaling the drugs on an as-needed basis, as compared to non-medicated volunteers. Overall, these results suggest such real-time breath analysis is a useful tool for non-invasive therapeutic drug monitoring.

Night-to-night variability of obstructive sleep apnea.

One night of a sleep study is the standard for diagnosis and exclusion of obstructive sleep apnea. Single testing requires high sensitivity of the test method and a stable disease of interest to warrant a low rate of false-negative tests. Obstructive sleep apnea is diagnosed and graded by conventional thresholds of apneas and hypopneas per hour of sleep, and treatment is usually initiated in the presence of symptoms. The aim of this study was to assess night-to-night variability of obstructive sleep apnea to reassess the current practice. Seventy-seven patients previously diagnosed with obstructive sleep apnea, randomised to continuous positive airway pressure withdrawal within four trials, performed nightly pulse-oximetry over 2 weeks while off continuous positive airway pressure. The main outcome of interest was the coefficient of variation of the oxygen desaturation index marking night-to-night variability in obstructive sleep apnea. Obstructive sleep apnea was categorised according to conventional thresholds using oxygen desaturation index (no obstructive sleep apnea: <5 per h; mild: 5-15 per h; moderate: 15-30 per h; and severe: >30 per h). High night-to-night variability of obstructive sleep apnea was evidenced by a coefficient of variation of oxygen desaturation index of 31.1% (SD 16.5). Differences in oxygen desaturation index of >10 per h between nights were found in 84.4% and shifts in obstructive sleep apnea severity category in 77.9% of patients. The probability of missing moderate obstructive sleep apnea was up to 60%. Variability was higher in less severe obstructive sleep apnea. Obstructive sleep apnea shows a considerable night-to-night variability. Single-night diagnostic sleep studies are prone to miscategorise obstructive sleep apnea if arbitrary thresholds are used. Thus, treatment decisions should be based less on the conventional derivatives from sleep studies, especially in patients with less severe obstructive sleep apnea. CLINICAL TRIAL REGISTRATION: www.controlled-trials.com (ISRCTN 93153804, ISRCTN 73047833) and www.clinicaltrials.gov (NCT01332175 & NCT02050425).