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.
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 ratsepsis 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.
Authors: Alan G Barbour; Charlotte M Hirsch; Arash Ghalyanchi Langeroudi; Simone Meinardi; Eric R G Lewis; Azadeh Shojaee Estabragh; Donald R Blake Journal: PLoS One Date: 2013-07-31 Impact factor: 3.240
Authors: Christine K Ellis; Randal S Stahl; Pauline Nol; W Ray Waters; Mitchell V Palmer; Jack C Rhyan; Kurt C VerCauteren; Matthew McCollum; M D Salman Journal: PLoS One Date: 2014-02-24 Impact factor: 3.240
Authors: Frederic W Albrecht; Felix Maurer; Lukas M Müller-Wirtz; Michaela H Schwaiblmair; Tobias Hüppe; Beate Wolf; Daniel I Sessler; Thomas Volk; Sascha Kreuer; Tobias Fink Journal: Metabolites Date: 2020-06-15