Breath volatile analysis from patients diagnosed with harmful drinking, cirrhosis and hepatic encephalopathy: a pilot study

Khalid, Tanzeela; Costello, Ben de Lacy; Ewen, Richard J.; White, Paul; Stevens, Simon; Gordon, F.; Collins, Peter L.; McCune, Anne; Shenoy, Achuth; Shetty, Sharan; Ratcliffe, Norman M.; Probert, Chris

doi:10.1007/s11306-013-0510-4

Cited by 22 publications

(23 citation statements)

References 39 publications

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“…A distinction between non‐alcoholic cirrhosis and alcoholic cirrhosis from healthy controls was made with a sensitivity and specificity of 92.3% and 97.1% respectively. Harmful drinking patterns were identified with 100% sensitivity when compared to healthy controls …”

Section: The Breath Metabolomementioning

confidence: 75%

Review article: breath analysis in inflammatory bowel diseases

Kurada¹,

Alkhouri

Fiocchi

et al. 2014

Aliment Pharmacol Ther

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Section: The Breath Metabolomementioning

confidence: 75%

Review article: breath analysis in inflammatory bowel diseases

Kurada¹,

Alkhouri

Fiocchi

et al. 2014

Aliment Pharmacol Ther

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“…On the other hand, limited data are available on the diagnosis and grading of hepatic encephalopathy (HE) by exhaled breath. Khalid et al[21] firstly evidenced 13 VOCS to predict HE with an accuracy of 88% in 33 subjects with alcoholic LC. Later on, Arasaradnam et al[27] confirmed an accuracy of 84% in a wider cohort.…”

Section: Study Analysis and Discussionmentioning

confidence: 99%

“…Later on, Arasaradnam et al[27] confirmed an accuracy of 84% in a wider cohort. Overall, exhaled breath analysis was found to identify patients with HE with respect to healthy controls with sensitivity ranging 88%-91% and specificity ranging 73%-87%[21,27]; however, the only study comparing overt and covert HE in LC patients found a significantly lower diagnostic accuracy (sensitivity of 79%, specificity of 50%, and area under the curve of 0.71)[27]. It is plausible that the broad metabolic de-rangements underlying the great clinical heterogeneity of HE (minimal, episodic, recurrent, and persistent) accounts for the heterogeneous VOC patterns and also for poor discriminatory potential of exhaled breath analysis within HE patients.…”

Section: Study Analysis and Discussionmentioning

confidence: 99%

Exhaled breath analysis in hepatology: State-of-the-art and perspectives

Vincentis

Vespasiani‐Gentilucci

Sabatini

et al. 2019

WJG

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Liver disease is characterized by breath exhalation of peculiar volatile organic compounds (VOCs). Thanks to the availability of sensitive technologies for breath analysis, this empiric approach has recently gained increasing attention in the context of hepatology, following the good results obtained in other fields of medicine. After the first studies that led to the identification of selected VOCs for pathophysiological purposes, subsequent research has progressively turned towards the comprehensive assessment of exhaled breath for potential clinical application. Specific VOC patterns were found to discriminate subjects with liver cirrhosis, to rate disease severity, and, eventually, to forecast adverse clinical outcomes even beyond existing scores. Preliminary results suggest that breath analysis could be useful also for detecting and staging hepatic encephalopathy and for predicting steatohepatitis in patients with nonalcoholic fatty liver disease. However, clinical translation is still hampered by a number of methodological limitations, including the lack of standardization and the consequent poor comparability between studies and the absence of external validation of obtained results. Given the low-cost and easy execution at bedside of the new technologies (e-nose), larger and well-structured studies are expected in order to provide the adequate level of evidence to support VOC analysis in clinical practice.

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“…Recent technological advances in analytical techniques allow the measurement of VOCs at trace concentrations with high sensitivity and selectivity. The analytical techniques most used up to now include, Gas Chromatography-Mass Spectrometry (GC-MS), Selected Ion Flow Tube Mass Spectrometry (SIFT-MS), and Proton Transfer Reaction Mass Spectrometry (PTR-MS) [4][5][6].…”

Section: Introductionmentioning

confidence: 99%