A methodology for using Lambda phages as a proxy for pathogen transmission in hospitals.

A methodology for using Lambda phages as a proxy for pathogen transmission in hospitals.
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DOI:
10.1016/j.jhin.2023.01.004
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发表时间:
2023-03
影响因子:
6.9
通讯作者:
Mumma, J. M.
Mumma, J. M.
中科院分区:
医学3区
文献类型:
--
作者:
Burke, K. B.;Berryhill, B. A.;Garcia, R.;Goldberg, D. A.;Manuel, J. A.;Gannon, P. R.;Levin, B. R.;Kraft, C. S.;Mumma, J. M.

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住院患者的一大担忧是感染表面、患者和医护人员 (HCW) 上的病原体。控制医疗保健相关感染的基础是确定病原体的来源,监测其传播过程,并评估用于限制其传播的程序的有效性。提出一种使用噬菌体 Lambda (λ) 来实现这些目的的方法。在已知的高保真人体模型污染热点处接种了多种基因标记 λ 噬菌体的确定密度。随后,医护人员进入预先消毒的模拟病房,并在人体模型上执行一系列患者护理任务。对医护人员的磨砂膏和手以及医院病房中先前定义的高接触表面进行了采样。采样后,房间使用被证明有效的程序进行了净化。模拟结束后,对样品进行了测试,以确定这些 λ 噬菌体的存在、身份和密度。生成的数据能够确定由于医护人员既定的感染预防措施崩溃而造成的污染来源和程度。该技术能够在单次患者护理期间对多种污染物进行标准化跟踪。与其他生物替代物不同,λ噬菌体对常见的医院消毒剂敏感,并且可以更准确地评估病原体传播。虽然我们对这些方法的应用侧重于与医疗保健相关的感染以及医护人员的行为在其传播中的作用,但这些方法也可用于识别其他环境中微生物污染的来源和部位。
One major concern in hospitalized patients is acquiring infections from pathogens borne on surfaces, patients, and healthcare workers (HCWs). Fundamental to controlling healthcare-associated infections is identifying the sources of pathogens, monitoring the processes responsible for their transmission, and evaluating the efficacy of the procedures employed for restricting their transmission. To present a method using the bacteriophage Lambda (λ) to achieve these ends. Defined densities of multiple genetically marked λ phages were inoculated at known hotspots for contamination on high-fidelity mannequins. HCWs then entered a pre-sanitized simulated hospital room and performed a series of patient care tasks on the mannequins. Sampling occurred on the scrubs and hands of the HCWs, as well as previously defined high-touch surfaces in hospital rooms. Following sampling, the rooms were decontaminated using procedures demonstrated to be effective. Following the conclusion of the simulation, the samples were tested for the presence, identity, and densities of these λ phages. The data generated enabled the determination of the sources and magnitude of contamination caused by the breakdown of established infection prevention practices by HCWs. This technique enabled the standardized tracking of multiple contaminants during a single episode of patient care. Unlike other biological surrogates, λ phages are susceptible to common hospital disinfectants, and allow for a more accurate evaluation of pathogen transmission. Whereas our application of these methods focused on healthcare-associated infections and the role of HCW behaviours in their spread, these methods could be employed for identifying the sources and sites of microbial contamination in other settings.
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