熟练的护理机构废水监测:SARS-CoV-2和抗菌素耐药性检测试点研究
Ariel Jose Santiago1, Maria Burgos Garay2, Mariya Campbell3
1Division of Healthcare Quality Promotion, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, 1600 Clifton Rd., Atlanta, GA 30329, USA
设施级废水监测有效地检测到熟练护理设施中的SARS-CoV-2. 这种方法也被证明可用于识别废水中的抗微生物耐药性基因和生物.
科学领域:
- 环境微生物学环境微生物学
- 公共卫生监督是对公共卫生的监督.
- 传染病监测 传染病监测 传染病监测
背景情况:
- 熟练护理设施 (SNFs) 容易受到传染病爆发的影响.
- 废水监测提供了一种非侵入性的方法来监测病原体循环.
- 评估SNF级废水监测的可行性对于早期检测和控制至关重要.
研究的目的:
- 评估设施级废水监测在SNF中检测SARS-CoV-2的可行性.
- 为了比较三种废水度方法:电负膜过 (enMF),聚乙烯糖醇沉和Nanotrap®磁性病毒颗粒 (NP).
- 建立一种概念验证,用于在SNF废水中检测抗微生物耐药性 (AR) 基因和生物.
主要方法:
- 来自SNF的废水废水在8周内被收集.
- 使用enMF,PEG沉和NP方法缩样本.
- 使用ddPCR定量SARS-CoV-2和一个替代病毒 (BRSV).
- 通过基于培养的方法检测到AR生物,并通过多重实时PCR通过多重实时PCR检测到AR基因.
主要成果:
- 在缩enMF的样本中成功检测和量化了SARS-CoV-2.
- 通过enMF方法获得了代理病毒 (BRSV) 的最高度.
- 文化依赖的方法确定了Klebsiella,Enterobacter,Citrobacter和Escherichia coli中的AR表型.
- 多重PCR检测到blaKPC作为主要的碳烯酶基因.
结论:
- 设施级废水监测是SNF监测SARS-CoV-2的可行策略.
- 废水监测可以同时跟踪AR基因和生物的流行情况.
- 这种方法可以加强SNF环境中的传染病监测和管理.
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