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Sniffing Out Urinary Tract Infection—Diagnosis Based on Volatile Organic Compounds and Smell Profile

机译:基于挥发性有机化合物和气味浮雕嗅探泌尿道感染诊断

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摘要

Current available methods for the clinical diagnosis of urinary tract infection (UTI) rely on a urine dipstick test or culturing of pathogens. The dipstick test is rapid (available in 1–2 min), but has a low positive predictive value, while culturing is time-consuming and delays diagnosis (24–72 h between sample collection and pathogen identification). Due to this delay, broad-spectrum antibiotics are often prescribed immediately. The over-prescription of antibiotics should be limited, in order to prevent the development of antimicrobial resistance. As a result, there is a growing need for alternative diagnostic tools. This paper reviews applications of chemical-analysis instruments, such as gas chromatography–mass spectrometry (GC-MS), selected ion flow tube mass spectrometry (SIFT-MS), ion mobility spectrometry (IMS), field asymmetric ion mobility spectrometry (FAIMS) and electronic noses (eNoses) used for the diagnosis of UTI. These methods analyse volatile organic compounds (VOCs) that emanate from the headspace of collected urine samples to identify the bacterial pathogen and even determine the causative agent’s resistance to different antibiotics. There is great potential for these technologies to gain wide-spread and routine use in clinical settings, since the analysis can be automated, and test results can be available within minutes after sample collection. This could significantly reduce the necessity to prescribe broad-spectrum antibiotics and allow the faster and more effective use of narrow-spectrum antibiotics.
机译:目前可用的泌尿道感染临床诊断方法(UTI)依赖于尿液降价试验或培养病原体。 Dipstick测试快速(1-2分钟可用),但具有低的阳性预测值,而培养是耗时和延迟诊断(样品收集和病原体鉴定之间的24-72小时)。由于这种延迟,广谱抗生素通常立即规定。应限制抗生素的过度处方,以防止抗微生物抗性的发展。结果,对替代诊断工具越来越需要。本文评论了化学分析仪器的应用,如气相色谱 - 质谱(GC-MS),所选离子流量管质谱(SIFT-MS),离子迁移光谱(IMS),现场不对称离子迁移光谱法(FAIMS)和电子鼻子(ensoses)用于诊断UTI。这些方法分析来自收集的尿液样品的顶部空间挥发性有机化合物(VOC),以鉴定细菌病原体,甚至确定致病剂对不同抗生素的抵抗力。这些技术在临床环境中获得广泛扩散和常规使用的可能性很大,因为分析可以自动化,并且测试结果可以在样品收集后几分钟内可用。这可以显着降低规划广谱抗生素的必要性,并允许更快,更有效地使用窄谱抗生素。

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