Evening and morning exhaled volatile compound patterns are different in obstructive sleep apnoea assessed with electronic nose

Kunos, László; Bikov, András; Lázár, Zsófia; Kőrösi, Beáta; Benedek, Pálma; Losonczy, György; Horváth, Ildikó

doi:10.1007/s11325-014-1003-z

Cited by 41 publications

(46 citation statements)

References 31 publications

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“…Overall, lack of correction of BP with tumor size and site, as well as comorbidities, likely account for uncertainty in the interpretation of results because the amount of exhaled compounds may be significantly influenced by these variables. [81][82][83][84][85][86][87][88]. As expected, the performance is dependent on the disease taken into account, with the best performance observed in discriminating patients with OSA syndrome from obese , as e-nose discriminative ability is effectively able to target metabolic changes after continuous-positive airway pressure ventilation only in patients without comorbidities [84].…”

Section: Indirect Interpretationmentioning

confidence: 54%

Exhaled breath analysis by electronic nose in respiratory diseases

Scarlata

Pennazza

Santonico

et al. 2015

Expert Review of Molecular Diagnostics

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Breath analysis via electronic nose is a technique oriented around volatile organic compound (VOC) profiling in exhaled breath for diagnostic and prognostic purposes. This approach, when supported by methodologies for VOC identification, has been often referred to as metabolomics or breathomics. Although breath analysis may have a substantial impact on clinical practice, as it may allow early diagnosis and large-scale screening strategies while being noninvasive and inexpensive, some technical and methodological limitations must be solved, together with crucial interpretative issues. By integrating a review of the currently available literature with more speculative arguments about the potential interpretation and application of VOC analysis, the authors aim to provide an overview of the main relevant aspects of this promising field of research.

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Section: Indirect Interpretationmentioning

confidence: 54%

Exhaled breath analysis by electronic nose in respiratory diseases

Scarlata

Pennazza

Santonico

et al. 2015

Expert Review of Molecular Diagnostics

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“…Interestingly, this difference was present only at morning and not before sleep which was supported by the fact that the evening and morning breathprints were different in OSA [9]. A significant relationship was found between volatile compound mixtures and AHI, in one [79], but not in the other study [9]. CPAP therapy significantly altered exhaled breathprints [79], however other studies have shown that these alterations are different if OSA is accompanied with comorbidities such as diabetes mellitus, metabolic syndrome and chronic heart failure [99].…”

Section: A C C E P T E D Accepted Manuscriptmentioning

confidence: 88%

“…Moreover, breath can be collected before and after sleep to study sleep-related changes; pertinent in OSA [9][10][11][12][13][14]. Moreover, Amann et al developed a sampling system to analyse exhaled volatile organic compounds (VOCs) even during sleep [15,16].…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Exhaled breath analysis, a simple tool to study the pathophysiology of obstructive sleep apnoea

Bikov

Hull

Kunos

2016

Sleep Medicine Reviews

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“…Polysomnography was performed as described previously [9] using Somnoscreen Plus Tele PSG (Somnomedics GmbH, Germany) according to the guidelines [19]. Apnoea-hypopnoea index (AHI), respiratory disturbance index (RDI) and oxygen desaturation index (ODI) were recorded and used as indices for OSA severity.…”

Section: Polysomnographymentioning

confidence: 99%

“…Theoretically, lung function may vary due to two main reasons. On one hand, overnight changes in airway broncho-reactive mediator concentrations were reported and may influence operational lung volumes [8][9][10][11][12]. On the other hand, OSA is associated with increased sympathetic and decreased parasympathetic tone during sleep, especially during apnoeic periods [13][14][15], which may result in alterations in resting bronchial tone [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Overnight Changes in Lung Function of Obese Patients with Obstructive Sleep Apnoea

Kunos

Lázár

Martinovszky

et al. 2016

Lung

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Purpose Obstructive sleep apnoea (OSA) is a prevalent disorder, characterised by collapse of the upper airways during sleep. The impact of sleep-disordered breathing on pulmonary function indices is however currently not well described. The aim of the study was to evaluate diurnal change in lung function indices in a cohort of patients with OSA and relate pulmonary function changes to disease severity. Methods 42 patients with OSA and 73 healthy control subjects participated in the study. Asthma and COPD were excluded in all volunteers following a clinical and spirometric assessment. Spirometry was then performed in all subjects in the evening and the morning following a polysomnography study. Results There was no difference in evening or morning FEV 1 or FVC between patients and control subjects (p [ 0.05). Neither FEV 1 nor FVC changed in control subjects overnight (p [ 0.05). In contrast, FEV 1 significantly increased from evening (2.18/1.54-4.46/L) to morning measurement (2.26/1.42-4.63/L) in OSA without any change in FVC. The FEV 1 increase in OSA was related to male gender, obesity and the lack of treatment with statins or b-blockers (all p \ 0.05). A tendency for a direct correlation was apparent between overnight FEV 1 change and RDI (p = 0.05, r = 0.30).Conclusions Diurnal variations in spirometric indices occur in patients with OSA and FEV 1 appears to increase in subjects with OSA overnight. These changes occur in the absence of change in FVC and are directly related to the severity of OSA. These findings dictate a need to consider time of lung function measurement.

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Evening and morning exhaled volatile compound patterns are different in obstructive sleep apnoea assessed with electronic nose

Abstract: Evening and morning exhaled volatile compound patterns are different in OSA. This might affect the ability of electronic noses to identify this disorder. Overnight alterations in volatile substances need to be taken into account during exhaled breath measurements in OSA.

Cited by 41 publications

References 31 publications

Exhaled breath analysis by electronic nose in respiratory diseases

Exhaled breath analysis by electronic nose in respiratory diseases

Exhaled breath analysis, a simple tool to study the pathophysiology of obstructive sleep apnoea

Overnight Changes in Lung Function of Obese Patients with Obstructive Sleep Apnoea

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