PropertyValue
?:abstract
  • OBJECTIVES: Limited testing capacity has characterized the ongoing COVID-19 pandemic in Spain, hampering a timely control of outbreaks and the possibilities to reduce the escalation of community transmissions. Here we investigated the potential of using pooling of samples followed by one-step retrotranscription and quantitative PCR (RT-qPCR) to increase SARS-CoV-2 testing capacity. METHODS: We first evaluated different sample pooling (1:5, 1:10 and 1:15) prior to RNA extractions followed by standard RT-qPCR for SARS-CoV-2/COVID-19 diagnosis. The pool size achieving reproducible results in independent tests was then used for assessing nasopharyngeal samples in a tertiary hospital during August 2020. RESULTS: We found that pool size of five samples achieved the highest sensitivity compared to pool sizes of 10 and 15, showing a mean (± SD) Ct shift of 3.5 ± 2.2 between the pooled test and positive samples in the pool. We then used a pool size of five to test a total of 895 pools (4,475 prospective samples) using two different RT-qPCR kits available at that time. The Real Accurate Quadruplex corona-plus PCR Kit (PathoFinder) reported the lowest mean Ct (± SD) shift (2.2 ± 2.4) among the pool and the individual samples. The strategy allows detecting individual samples in the positive pools with Cts in the range of 16.7-39.4. CONCLUSIONS: We found that pools of five samples combined with RT-qPCR solutions helped to increase SARS-CoV-2 testing capacity with minimal loss of sensitivity compared to that resulting from testing the samples independently.
is ?:annotates of
?:creator
?:doi
  • 10.1016/j.ijid.2020.11.155
?:doi
?:journal
  • Int_J_Infect_Dis
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/eead43c3455138c00ff86e4693eb058d26e540e4.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7674967.xml.json
?:pmcid
?:pmid
?:pmid
  • 33220439.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • Elsevier; Medline; PMC
?:title
  • Increasing SARS-CoV-2 RT-qPCR testing capacity by sample pooling
?:type
?:year
  • 2020-11-19

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