通过对呼出的气息中挥发性有机化合物的评估来检测Clostridioides difficile感染
Teny M John1,2, Nabin K Shrestha2, Leen Hasan3
1Department of Infectious Diseases, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America.
Journal of breath research
|March 19, 2024
概括
通过在呼出的空气中分析挥发性有机化合物 (VOCs),可以改善诊断Clostridioides difficile感染 (CDI). 这种呼吸试验显示出作为确定CDI的辅助工具的承诺,补充现有的诊断方法.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 微生物学 微生物学
- 分析化学是一种分析化学.
背景情况:
- 困难菌感染 (CDI) 是医院获得的腹的主要原因之一.
- 目前对CDI的诊断方法,如酶免疫试验和聚合酶连锁反应,在灵敏度和区分感染和殖民方面存在局限性.
- 需要一种理想的诊断测试,可以通过考虑微生物,宿主和宿主-微生物相互作用因素,准确地描述真正的CDI.
研究的目的:
- 为了研究分析挥发性有机化合物 (VOCs) 在呼气中的潜力,作为CDI的非侵入性诊断工具.
- 为了确定与CDI相关的特定VOC生物标志物.
主要方法:
- 从17名被诊断患有CDI的患者和年龄和性别匹配的对照人群中采集了呼吸样本,这些对照人群有腹,但对C.阴性. 困难的. 困难的.
- 热吸附气体染色学和质谱学用于分析收集的呼吸样本中广泛的VOCs选择.
- 使用已识别的VOC来区分CDI患者和对照者,开发了一种二次区分模型.
主要成果:
- 在分析的65种VOC中,选择了9种用于构建诊断模型.
- 开发的模型实现了74%的交叉验证准确性,灵敏度为71%和特异性为76%.
- 接收器操作特征 (ROC) 曲线分析显示曲线下的面积 (AUC) 为0.72,表明诊断性能中等.
结论:
- 呼吸挥发性有机化合物 (VOC) 分析表明,作为Clostridioides difficile感染的补充诊断方法的潜力.
- 需要在更大的研究中进行进一步的验证,以确认呼吸VOC分析作为CDI的辅助诊断测试的实用性.
- 这种非侵入性方法可能有助于准确识别CDI,解决当前诊断技术的局限性.
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