Faculty of Medicine, Universitas Brawijaya, East Java, Indonesia.
Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Diagn Microbiol Infect Dis. 2022 Feb;102(2):115589. doi: 10.1016/j.diagmicrobio.2021.115589. Epub 2021 Oct 30.
COVID-19 is a major problem with an increasing incidence and mortality. The discovery of Volatile Organic Compounds (VOCs) based on breath analysis offers a reliable, rapid, and affordable screening method. This study examined VOC-based breath analysis diagnostic performance for SARS-COV-2 infection compared to RT-PCR. A systematic review was conducted in 8 scientific databases based on the PRISMA guideline. Original English studies evaluating human breaths for COVID-19 screening and mentioning sensitivity and specificity value compared to RT-PCR were included. Six studies were included with a total of 4093 samples from various settings. VOCs-based breath analysis had the cumulative sensitivity of 98.2% (97.5% CI 93.1%-99.6%) and specificity of 74.3% (97.5% CI 66.4%-80.9%). Subgroup analysis on chemical analysis (GC-MS) and pattern recognition (eNose) revealed higher sensitivity in the eNose group. VOC-based breath analysis shows high sensitivity and promising specificity for COVID-19 public screening.
COVID-19 是一个发病率和死亡率不断上升的主要问题。基于呼吸分析的挥发性有机化合物(VOC)的发现提供了一种可靠、快速且经济实惠的筛选方法。本研究比较了基于 VOC 的呼吸分析诊断性能与 RT-PCR 对 SARS-COV-2 感染的诊断性能。根据 PRISMA 指南,在 8 个科学数据库中进行了系统评价。纳入了评估人类呼吸用于 COVID-19 筛查并提及与 RT-PCR 相比的敏感性和特异性值的原始英文研究。共纳入 6 项研究,共计 4093 份来自不同环境的样本。基于 VOC 的呼吸分析的累积敏感性为 98.2%(97.5%CI 93.1%-99.6%),特异性为 74.3%(97.5%CI 66.4%-80.9%)。对化学分析(GC-MS)和模式识别(eNose)的亚组分析显示,eNose 组的敏感性更高。基于 VOC 的呼吸分析对 COVID-19 公众筛查具有高敏感性和有前途的特异性。