1. Second round of an interlaboratory comparison of SARS-CoV2 molecular detection assays used by 45 veterinary diagnostic laboratories in the United States.
- Author
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Deng, Kaiping, Uhlig, Steffen, Goodman, Laura B., Ip, Hon S., Killian, Mary Lea, Nemser, Sarah M., Ulaszek, Jodie, Kiener, Shannon, Kmet, Matthew, Frost, Kirstin, Hettwer, Karina, Colson, Bertrand, Nichani, Kapil, Schlierf, Anja, Tkachenko, Andriy, Mlalazi-Oyinloye, Mothomang, Scott, Andrew, Reddy, Ravinder, and Tyson, Gregory H.
- Subjects
SARS-CoV-2 ,LABORATORIES ,TESTING laboratories ,COVID-19 pandemic ,CLASSROOM environment ,ANIMAL experimentation ,COVID-19 testing - Abstract
The COVID-19 pandemic presents a continued public health challenge. Veterinary diagnostic laboratories in the United States use RT-rtPCR for animal testing, and many laboratories are certified for testing human samples; hence, ensuring that laboratories have sensitive and specific SARS-CoV2 testing methods is a critical component of the pandemic response. In 2020, the FDA Veterinary Laboratory Investigation and Response Network (Vet-LIRN) led an interlaboratory comparison (ILC1) to help laboratories evaluate their existing RT-rtPCR methods for detecting SARS-CoV2. All participating laboratories were able to detect the viral RNA spiked in buffer and PrimeStore molecular transport medium (MTM). With ILC2, Vet-LIRN extended ILC1 by evaluating analytical sensitivity and specificity of the methods used by participating laboratories to detect 3 SARS-CoV2 variants (B.1; B.1.1.7 [Alpha]; B.1.351 [Beta]) at various copy levels. We analyzed 57 sets of results from 45 laboratories qualitatively and quantitatively according to the principles of ISO 16140-2:2016. More than 95% of analysts detected the SARS-CoV2 RNA in MTM at ≥500 copies for all 3 variants. In addition, for nucleocapsid markers N1 and N2, 81% and 92% of the analysts detected ≤20 copies in the assays, respectively. The analytical specificity of the evaluated methods was >99%. Participating laboratories were able to assess their current method performance, identify possible limitations, and recognize method strengths as part of a continuous learning environment to support the critical need for the reliable diagnosis of COVID-19 in potentially infected animals and humans. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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