Dataset Information

Breath-print analysis by e-nose for classifying and monitoring chronic liver disease: a proof-of-concept study.

ABSTRACT: Since the liver plays a key metabolic role, volatile organic compounds in the exhaled breath might change with type and severity of chronic liver disease (CLD). In this study we analysed breath-prints (BPs) of 65 patients with liver cirrhosis (LC), 39 with non-cirrhotic CLD (NC-CLD) and 56 healthy controls by the e-nose. Distinctive BPs characterized LC, NC-CLD and healthy controls, and, among LC patients, the different Child-Pugh classes (sensitivity 86.2% and specificity 98.2% for CLD vs healthy controls, and 87.5% and 69.2% for LC vs NC-CLD). Moreover, the area under the BP profile, derived from radar-plot representation of BPs, showed an area under the ROC curve of 0.84 (95% CI 0.76-0.91) for CLD, of 0.76 (95% CI 0.66-0.85) for LC, and of 0.70 (95% CI 0.55-0.81) for decompensated LC. By applying the cut-off values of 862 and 812, LC and decompensated LC could be predicted with high accuracy (PPV 96.6% and 88.5%, respectively). These results are proof-of-concept that the e-nose could be a valid non-invasive instrument for characterizing CLD and monitoring hepatic function over time. The observed classificatory properties might be further improved by refining stage-specific breath-prints and considering the impact of comorbidities in a larger series of patients.

SUBMITTER: De Vincentis A

PROVIDER: S-EPMC4857073 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Breath-print analysis by e-nose for classifying and monitoring chronic liver disease: a proof-of-concept study.

De Vincentis Antonio A Pennazza Giorgio G Santonico Marco M Vespasiani-Gentilucci Umberto U Galati Giovanni G Gallo Paolo P Vernile Chiara C Pedone Claudio C Antonelli Incalzi Raffaele R Picardi Antonio A

Scientific reports 20160505

Since the liver plays a key metabolic role, volatile organic compounds in the exhaled breath might change with type and severity of chronic liver disease (CLD). In this study we analysed breath-prints (BPs) of 65 patients with liver cirrhosis (LC), 39 with non-cirrhotic CLD (NC-CLD) and 56 healthy controls by the e-nose. Distinctive BPs characterized LC, NC-CLD and healthy controls, and, among LC patients, the different Child-Pugh classes (sensitivity 86.2% and specificity 98.2% for CLD vs healt ...[more]

PMID: 27145718

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Dataset Information

Breath-print analysis by e-nose for classifying and monitoring chronic liver disease: a proof-of-concept study.

Publications

Breath-print analysis by e-nose for classifying and monitoring chronic liver disease: a proof-of-concept study.

Similar Datasets

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