tetano
Editor, Senior Moderator
Open Forum Infect Dis
. 2022 Sep 21;9(10)
fac490.
doi: 10.1093/ofid/ofac490. eCollection 2022 Oct.
Prediction of Symptomatic Severe Acute Respiratory Syndrome Coronavirus 2 Infection by Quantitative Digital Polymerase Chain Reaction Normalized to International Units
Diego R Hijano[SUP] 1 [/SUP], Zhengming Gu[SUP] 2 [/SUP], Jessica Brazelton[SUP] 2 [/SUP], Haiqing Zhu[SUP] 2 [/SUP], Sri Suganda[SUP] 2 [/SUP], Heather L Glasgow[SUP] 2 [/SUP], Himani Darji[SUP] 3 [/SUP], Li Tang[SUP] 3 [/SUP], Thomas P Fabrizio[SUP] 1 [/SUP], Kim J Allison[SUP] 1 [/SUP], E Kaitlynn Allen[SUP] 4 [/SUP], SJTRC Study Team; Aditya H Gaur[SUP] 1 [/SUP], Joshua Wolf[SUP] 1 [/SUP], Paul G Thomas[SUP] 4 [/SUP], Richard J Webby[SUP] 1 [/SUP], Randall T Hayden[SUP] 2 [/SUP]
Collaborators, Affiliations
Abstract
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.
Keywords: COVID-19; SARS-CoV-2; digital PCR; international units; viral load.
. 2022 Sep 21;9(10)
fac490.doi: 10.1093/ofid/ofac490. eCollection 2022 Oct.
Prediction of Symptomatic Severe Acute Respiratory Syndrome Coronavirus 2 Infection by Quantitative Digital Polymerase Chain Reaction Normalized to International Units
Diego R Hijano[SUP] 1 [/SUP], Zhengming Gu[SUP] 2 [/SUP], Jessica Brazelton[SUP] 2 [/SUP], Haiqing Zhu[SUP] 2 [/SUP], Sri Suganda[SUP] 2 [/SUP], Heather L Glasgow[SUP] 2 [/SUP], Himani Darji[SUP] 3 [/SUP], Li Tang[SUP] 3 [/SUP], Thomas P Fabrizio[SUP] 1 [/SUP], Kim J Allison[SUP] 1 [/SUP], E Kaitlynn Allen[SUP] 4 [/SUP], SJTRC Study Team; Aditya H Gaur[SUP] 1 [/SUP], Joshua Wolf[SUP] 1 [/SUP], Paul G Thomas[SUP] 4 [/SUP], Richard J Webby[SUP] 1 [/SUP], Randall T Hayden[SUP] 2 [/SUP]
Collaborators, Affiliations
- PMID: 36221269
- PMCID: PMC9494499
- DOI: 10.1093/ofid/ofac490
Abstract
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.
Keywords: COVID-19; SARS-CoV-2; digital PCR; international units; viral load.