Prediction of Symptomatic Severe Acute Respiratory Syndrome Coronavirus 2 Infection by Quantitative Digital Polymerase Chain Reaction Normalized to International Units

Although numerous studies have evaluated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using cycle threshold (Ct) values as a surrogate of viral ribonucleic acid (RNA) load, few studies have used standardized, quantitative methods. We validated a quantitative SARS-CoV-2 digi...

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Bibliographic Details
Published in:Open forum infectious diseases 2022-10, Vol.9 (10), p.ofac490-ofac490
Main Authors: Hijano, Diego R, Gu, Zhengming, Brazelton, Jessica, Zhu, Haiqing, Suganda, Sri, Glasgow, Heather L, Darji, Himani, Tang, Li, Fabrizio, Thomas P, Allison, Kim J, Allen, E Kaitlynn, Estepp, Jeremie H, McGargill, Maureen A, Mori, Motomi, Schultz-Cherry, Stacey, Hakim, Hana, Tuomanen, Elaine I, Gaur, Aditya H, Wolf, Joshua, Thomas, Paul G, Webby, Richard J, Hayden, Randall T
Format: Article
Language:English
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Summary:Although numerous studies have evaluated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using cycle threshold (Ct) values as a surrogate of viral ribonucleic acid (RNA) load, few studies have used standardized, quantitative methods. We validated a quantitative SARS-CoV-2 digital polymerase chain reaction assay normalized to World Health Organization International Units and correlated viral RNA load with symptoms and disease severity.
ISSN:2328-8957
2328-8957
DOI:10.1093/ofid/ofac490