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Real-Time Continuous Surveillance of Temperature and Flow Events Presents a Novel Monitoring Approach for Hospital and Healthcare Water Distribution Systems

机译:温度和流动事件的实时连续监测提出了一种新的医院和医疗保健水分配系统的监测方法

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摘要

Within hospitals and healthcare facilities opportunistic premise plumbing pathogens (OPPPs) are a major and preventable cause of healthcare-acquired infections. This study presents a novel approach for monitoring building water quality using real-time surveillance of parameters measured at thermostatic mixing valves (TMVs) across a hospital water distribution system. Temperature was measured continuously in real-time at the outlet of 220 TMVs located across a hospital over a three-year period and analysis of this temperature data was used to identify flow events. This real-time temperature and flow information was then compared with microbial water quality. Water samples were collected randomly from faucets over the three-year period. These were tested for total heterotrophic bacteria, Legionella spp. and L. pneumophila. A statistically significant association with total heterotrophic bacteria concentrations and the number of flow events seven days prior (rs[865] = −0.188, p < 0.01) and three days prior to sampling (rs[865] = −0.151, p < 0.01) was observed, with decreased heterotrophic bacteria linked to increased flushing events. Only four samples were positive for Legionella and statistical associations could not be determined; however, the environmental conditions for these four samples were associated with higher heterotrophic counts. This study validated a simple and effective remote monitoring approach to identifying changes in water quality and flagging high risk situations in real-time. This provides a complementary surveillance strategy that overcomes the time delay associated with microbial culture results. Future research is needed to explore the use of this monitoring approach as an indicator for different opportunistic pathogens.
机译:在医院和医疗保健设施中,机会主义的前提管道(oppps)是医疗保健感染的主要和可预防原因。本研究提出了一种新的方法,用于使用在医院水分配系统上在恒温混合阀(TMV)上测量的参数的实时监测来监测建筑水质。在220 TMV的出口中连续测量温度,位于医院的220 TMV,在三年期间,使用该温度数据的分析来识别流动事件。然后将该实时温度和流量信息与微生物水质进行比较。在三年期间从龙头随机收集水样。这些对总异养细菌,军团菌SPP进行了测试。和l.肺炎。与总异养细菌浓度的统计学意义和七天(Rs [865] = -0.188,P <0.01)和抽样前的三天(RS [865] = -0.151,P <0.01)观察到,随着杂养细菌的降低,与增加的冲洗事件增加。只有四个样品对于军团氏菌产生阳性,无法确定统计协会;然而,这四个样品的环境条件与较高的异养计数有关。本研究验证了一种简单有效的远程监测方法,可以实时识别水质的变化,并实时标记高风险情况。这提供了一种互补的监测策略,克服了与微生物培养结果相关的时间延迟。需要进行未来的研究来探索这种监测方法作为不同机会主义病原体的指标。

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