Rapid detection of sepsis in rats through volatile organic compounds in breath
| Autor: | Santiago Marco, Ramon Farré, Idoya Agudo, Daniel Malet Calvo, Ana V. Guamán, Daniel Navajas, Alba Carreras, Antonio Pardo |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Lipopolysaccharides
Male Databases Factual Ion-mobility spectrometry medicine.medical_treatment Clinical Biochemistry Rats as laboratory animals Solid-phase microextraction Biochemistry Sensitivity and Specificity Gas Chromatography-Mass Spectrometry Mass Spectrometry Analytical Chemistry Sepsis Rats Sprague-Dawley Intensive care medicine Escherichia coli Animals Volatile organic compounds Saline Solid Phase Microextraction Rates (Animals de laboratori) Volatile Organic Compounds Chromatography Mass spectrometry Chemistry Reproducibility of Results Compostos orgànics volàtils Cell Biology General Medicine medicine.disease Confidence interval Rats Disease Models Animal Espectrometria de masses Breath gas analysis Breath Tests Multivariate Analysis Gas chromatography–mass spectrometry |
| Zdroj: | Dipòsit Digital de la UB Universidad de Barcelona |
| Popis: | Background Sepsis is one of the main causes of death in adult intensive care units. The major drawbacks of the different methods used for its diagnosis and monitoring are their inability to provide fast responses and unsuitability for bedside use. In this study, performed using a rat sepsis model, we evaluate breath analysis with Ion Mobility Spectrometry (IMS) as a fast, portable and non-invasive strategy. Methods This study was carried out on 20 Sprague-Dawley rats. Ten rats were injected with lipopolysaccharide from Escherichia coli and ten rats were IP injected with regular saline. After a 24-h period, the rats were anaesthetized and their exhaled breaths were collected and measured with IMS and SPME-gas chromatography/mass spectrometry (SPME-GC/MS) and the data were analyzed with multivariate data processing techniques. Results The SPME-GC/MS dataset processing showed 92% accuracy in the discrimination between the two groups, with a confidence interval of between 90.9% and 92.9%. Percentages for sensitivity and specificity were 98% (97.5–98.5%) and 85% (84.6–87.6%), respectively. The IMS database processing generated an accuracy of 99.8% (99.7–99.9%), a specificity of 99.6% (99.5–99.7%) and a sensitivity of 99.9% (99.8–100%). Conclusions IMS involving fast analysis times, minimum sample handling and portable instrumentation can be an alternative for continuous bedside monitoring. IMS spectra require data processing with proper statistical models for the technique to be used as an alternative to other methods. These animal model results suggest that exhaled breath can be used as a point-of-care tool for the diagnosis and monitoring of sepsis. |
| Databáze: | OpenAIRE |
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