A multicenter study investigating SARS-CoV-2 in tertiary-care hospital wastewater. viral burden correlates with increasing hospitalized cases as well as hospital-associated transmissions and outbreaks.

A multicenter study investigating SARS-CoV-2 in tertiary-care hospital wastewater. viral burden correlates with increasing hospitalized cases as well as hospital-associated transmissions and outbreaks.
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DOI:
10.1016/j.watres.2021.117369
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发表时间:
2021-08-01
期刊:
影响因子:
12.8
通讯作者:
Parkins MD
Parkins MD
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Acosta N;Bautista MA;Hollman J;McCalder J;Beaudet AB;Man L;Waddell BJ;Chen J;Li C;Kuzma D;Bhatnagar S;Leal J;Meddings J;Hu J;Cabaj JL;Ruecker NJ;Naugler C;Pillai DR;Achari G;Ryan MC;Conly JM;Frankowski K;Hubert CR;Parkins MD

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已在废水中检测到SARS-CoV-2,其丰度与社区新冠肺炎病例、住院和死亡相关。我们试图使用基于废水的SARS-CoV-2检测来评估医院中SARS-CoV-2的流行病学。在2020年8月至12月期间,收集了三家三级护理医院(总计2100张住院专用床位)每周两次的废水样本。一号医院和二号医院只需一个采样点即可采集,而三号医院需要三个不同的监测点。废水样本用4S-硅胶柱方法浓缩和净化,并用RT-qPCR方法评估SARS-CoV-2基因靶标(N1、N2和E)和对照。用定量循环(CQ)法检测废水中的SARS-CoV-2,将基因组拷贝数和归一化为粪便生物标志物PMMoV的基因组与每天因新冠肺炎活动而住院的患者总数、确诊的医院获得性感染病例和特定单位暴发的发生情况进行比较。在收集的165个废水样本中,159个(96%)可分析。SARS-CoV-2N1基因阳性率为64.1%,N_2基因阳性率为49.7%,E基因阳性率为10%。废水中的N1和N2在可检测到的病毒量和阳性样本的比例方面都随着时间的推移而增加,这与那些只有一个监测点的地点住院人数的增加是一致的(分别为皮尔森的r=0.679,P=0.0001,P=0.799,P=0.0001)。尽管在研究期间住院人数有所增加,但医院内获得的新冠肺炎病例(皮尔逊相关系数=0.389,P<0.001)和特定单位的暴发病例仍可辨别,可检测到的SARS-CoV-2N1-RNA(中位数112拷贝/毫升)显著增加,而无暴发期(0拷贝/毫升;P<0.0001)。基于废水的SARS-CoV-2监测为SARS-CoV-2被动监测和急性护理医疗机构的病例识别、遏制和缓解提供了一种很有前途的工具。
SARS-CoV-2 has been detected in wastewater and its abundance correlated with community COVID-19 cases, hospitalizations and deaths. We sought to use wastewater-based detection of SARS-CoV-2 to assess the epidemiology of SARS-CoV-2 in hospitals. Between August and December 2020, twice-weekly wastewater samples from three tertiary-care hospitals (totaling > 2100 dedicated inpatient beds) were collected. Hospital-1 and Hospital-2 could be captured with a single sampling point whereas Hospital-3 required three separate monitoring sites. Wastewater samples were concentrated and cleaned using the 4S-silica column method and assessed for SARS-CoV-2 gene-targets (N1, N2 and E) and controls using RT-qPCR. Wastewater SARS-CoV-2 as measured by quantification cycle (Cq), genome copies and genomes normalized to the fecal biomarker PMMoV were compared to the total daily number of patients hospitalized with active COVID-19, confirmed cases of hospital-acquired infection, and the occurrence of unit-specific outbreaks. Of 165 wastewater samples collected, 159 (96%) were assayable. The N1-gene from SARS-CoV-2 was detected in 64.1% of samples, N2 in 49.7% and E in 10%. N1 and N2 in wastewater increased over time both in terms of the amount of detectable virus and the proportion of samples that were positive, consistent with increasing hospitalizations at those sites with single monitoring points (Pearson's r = 0.679, P < 0.0001, Pearson's r = 0.799, P < 0.0001, respectively). Despite increasing hospitalizations through the study period, nosocomial-acquired cases of COVID-19 (Pearson's r = 0.389, P < 0.001) and unit-specific outbreaks were discernable with significant increases in detectable SARS-CoV-2 N1-RNA (median 112 copies/ml) versus outbreak-free periods (0 copies/ml; P < 0.0001). Wastewater-based monitoring of SARS-CoV-2 represents a promising tool for SARS-CoV-2 passive surveillance and case identification, containment, and mitigation in acute- care medical facilities.
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