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J Clin Virol ; 135: 104720, 2021 02.
Article in English | MEDLINE | ID: covidwho-1002741

ABSTRACT

BACKGROUND: Apart from major health concerns associated to the SARS-coronavirus-2 (SARS-CoV-2) pandemic, also the diagnostic workflow encountered serious problems. Limited availability of kit components, buffers and even plastics has resulted in suboptimal testing procedures worldwide. Alternative workflows have been implemented to overcome these difficulties. Recently a liquid based sample prep has been launched as solution to overcome limitations in relation to nucleic acid extraction. OBJECTIVE: Multicenter evaluation of the QIAprep& Viral RNA UM kit (QIA P&A) for rapid sample preparation and real-time PCR detection of SARS-CoV-2 in comparison to standardized laboratory testing methods. STUDY DESIGN: Selected samples of the routine diagnostic workflow at Clinical Microbiology Laboratories of four Dutch hospitals have been subjected to the rapid QIA P&A protocol and the results have been compared to routine diagnostic data. RESULTS: Combining results of manual and automated procedures, a total of 377 clinical samples of which 202 had been tested positive with a wide range of CT values, showed almost complete concordance in the QIA P&A assay for samples up to CT values of 33 with one exception of CT 31. Prospectively 60 samples were tested and also showed 100 % concordance with 5 positives. The method has been automated by two centres. CONCLUSIONS: Despite an input of only 8 µL of clinical sample, the QIA P&A kit showed good performance for sample preparation and amplification of SARS-CoV-2 and can contribute as a rapid molecular testing strategy in managing the CoV-2 pandemic.


Subject(s)
COVID-19 Testing/methods , COVID-19/diagnosis , COVID-19/virology , Mass Screening/methods , Real-Time Polymerase Chain Reaction/methods , SARS-CoV-2/genetics , Clinical Laboratory Techniques/methods , Humans , Molecular Diagnostic Techniques/methods , Pandemics/prevention & control , Prospective Studies , Specimen Handling/methods , Workflow
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