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

Autor: Diego R, Hijano, Zhengming, Gu, Jessica, Brazelton, Haiqing, Zhu, Sri, Suganda, Heather L, Glasgow, Himani, Darji, Li, Tang, Thomas P, Fabrizio, Kim J, Allison, E Kaitlynn, Allen, Aditya H, Gaur, Joshua, Wolf, Paul G, Thomas, Richard J, Webby, Elaine I, Tuomanen
Rok vydání: 2022
Předmět:
Zdroj: Open Forum Infectious Diseases. 9
ISSN: 2328-8957
DOI: 10.1093/ofid/ofac490
Popis: 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.
Databáze: OpenAIRE