Institute for Bioengineering of Catalonia (IBEC), Baldiri i Rexach 4 08028-BCN, Spain.
J Chromatogr B Analyt Technol Biomed Life Sci. 2012 Jan 15;881-882:76-82. doi: 10.1016/j.jchromb.2011.12.001. Epub 2011 Dec 10.
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.
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.
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%).
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.
败血症是成人重症监护病房死亡的主要原因之一。目前用于其诊断和监测的不同方法存在主要缺陷,无法提供快速响应,也不适合床边使用。在这项使用大鼠败血症模型的研究中,我们评估了离子迁移谱(IMS)作为一种快速、便携和非侵入性策略的呼吸分析。
本研究共纳入 20 只 Sprague-Dawley 大鼠。其中 10 只大鼠注射大肠杆菌脂多糖,10 只大鼠 IP 注射生理盐水。24 小时后,对大鼠进行麻醉,收集并使用 IMS 和 SPME-气相色谱/质谱法(SPME-GC/MS)进行呼气测量,并使用多元数据分析技术进行数据分析。
SPME-GC/MS 数据集处理结果显示,两组之间的区分准确率为 92%,置信区间为 90.9%至 92.9%。灵敏度和特异性分别为 98%(97.5-98.5%)和 85%(84.6-87.6%)。IMS 数据库处理结果产生了 99.8%(99.7-99.9%)的准确率、99.6%(99.5-99.7%)的特异性和 99.9%(99.8-100%)的敏感性。
IMS 涉及快速的分析时间、最小的样本处理和便携式仪器,可作为连续床边监测的替代方法。IMS 谱需要使用适当的统计模型进行数据处理,以便该技术能够替代其他方法。这些动物模型结果表明,呼气可作为败血症诊断和监测的即时护理工具。