Recommendations for sample pooling on the Cepheid GeneXpert(R) system using the Cepheid Xpert(R) Xpress SARS-CoV-2 assay

被引:22
作者
Becker, Michael G. [1 ]
Taylor, Tracy [1 ]
Kiazyk, Sandra [1 ,2 ]
Cabiles, Dana R. [1 ]
Meyers, Adrienne F. A. [1 ,2 ]
Sandstrom, Paul A. [1 ,2 ]
机构
[1] Publ Hlth Agcy Canada, Natl HIV & Retrovirol Lab, Natl Microbiol Lab, JC Wilt Infect Dis Res Ctr, Winnipeg, MB, Canada
[2] Univ Manitoba, Dept Med Microbiol & Infect Dis, Winnipeg, MB, Canada
来源
PLOS ONE | 2020年 / 15卷 / 11期
关键词
D O I
10.1371/journal.pone.0241959
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The coronavirus disease 2019 (Covid-19) pandemic, caused by SARS-CoV-2, has resulted in a global testing supply shortage. In response, pooled testing has emerged as a promising strategy that can immediately increase testing capacity. In pooled sample testing, multiple samples are combined (or pooled) together and tested as a single unit. If the pool is positive, the individual samples can then be individually tested to identify the positive case(s). Here, we provide support for the adoption of sample pooling with the point-of-care Cepheid Xpert(R) Xpress SARS-CoV-2 molecular assay. Corroborating previous findings, the limit of detection of this assay was comparable to laboratory-developed reverse-transcription quantitative PCR SARS-CoV-2 tests, with observed detection below 100 copies/mL. The Xpert(R) Xpress assay detected SARS-CoV-2 after samples with minimum viral loads of 461 copies/mL were pooled in groups of six. Based on these data, we recommend the adoption of pooled testing with the Xpert(R) Xpress SARS-CoV-2 assay where warranted based on public health needs. The suggested number of samples per pool, or the pooling depth, is unique for each point-of-care testing site and can be determined by the positive test rates. To statistically determine appropriate pooling depth, we have calculated the pooling efficiency for numerous combinations of pool sizes and test rates. This information is included as a supplemental dataset that we encourage public health authorities to use as a guide to make recommendations that will maximize testing capacity and resource conservation.
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