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Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Mol+Diagn+Ther 2021 ; 25 (5): 617-628 Nephropedia Template TP
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Analytical and Clinical Performance of Droplet Digital PCR in the Detection and Quantification of SARS-CoV-2 #MMPMID34319580
Kim KB; Choi H; Lee GD; Lee J; Lee S; Kim Y; Cho SY; Lee DG; Kim M
Mol Diagn Ther 2021[Sep]; 25 (5): 617-628 PMID34319580show ga
BACKGROUND AND OBJECTIVE: Since the initial coronavirus disease outbreak in late 2019 (COVID-19), reverse-transcription real-time polymerase chain reaction (RT-qPCR) has become the gold standard test to detect severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2). However, a more sensitive and accurate diagnostic tool was required. Therefore, droplet digital polymerase chain reaction (ddPCR) was suggested as an alternative method. Here, we evaluated the performance of ddPCR to detect SARS-CoV-2 and compared it to the performance of RT-qPCR. METHODS: The analytical performances, including limit of blank and limit of detection, were established using positive and negative SARS-CoV-2 reference materials. A total of 366 RNA extracts (173 positive and 193 negative by RT-qPCR) were collected from four institutions and tested with a Bio-Rad SARS-CoV-2 ddPCR kit that detects the SARS-CoV-2 genome using primers for N1 and N2. RESULTS: Limit of blank was set at 0, and the limits of detection of N1 and N2 were 1.99 copies/muL and 5.18 copies/muL, respectively. Linearity was evaluated using serial dilution samples, which demonstrated good results (R(2): 0.999, linear range: 5.88-6825.25 copies/muL for N1 and R(2): 0.999, 5.53-5855.47 copies/muL for N2). The results of ddPCR and RT-qPCR revealed substantial agreement (Cohen's kappa: 0.639, p < 0.01). The 63 samples with positive ddPCR but negative RT-qPCR showed low copy numbers, and 55% of them had COVID-19-related symptoms. CONCLUSIONS: Droplet digital polymerase chain reaction demonstrated excellent sensitivity for SARS-Cov-2 detection and consistently agreed with the results from conventional RT-qPCR. Furthermore, ddPCR provided quantitative data that can be used to monitor changes in the viral load of patients with COVID-19.