Real-world evaluation of a novel technology for quantitative simultaneous antibody detection against multiple SARS-CoV-2 antigens in a cohort of patients presenting with COVID-19 syndrome
dc.contributor.author | Shaw, A | |
dc.contributor.author | Hyde, C | |
dc.contributor.author | Merrick, B | |
dc.contributor.author | James-Pemberton, P | |
dc.contributor.author | Squires, B | |
dc.contributor.author | Olkhov, R | |
dc.contributor.author | Batra, R | |
dc.contributor.author | Patel, A | |
dc.contributor.author | Bisnauthsing, K | |
dc.contributor.author | Nebbia, G | |
dc.contributor.author | Macmahon, E | |
dc.contributor.author | Douthwaite, S | |
dc.contributor.author | Malim, M | |
dc.contributor.author | Neil, S | |
dc.contributor.author | Rocio Martinez, R | |
dc.contributor.author | Doores, K | |
dc.contributor.author | Kia Ik Mark, T | |
dc.contributor.author | Signell, A | |
dc.contributor.author | Betancor, G | |
dc.contributor.author | Wilson, H | |
dc.contributor.author | Pedro Galao, R | |
dc.contributor.author | Pickering, S | |
dc.contributor.author | Edgeworth, J | |
dc.date.accessioned | 2020-07-13T13:21:19Z | |
dc.date.issued | 2020-07-08 | |
dc.description.abstract | An evaluation of a rapid portable gold-nanotechnology measuring SARS-CoV-2 IgM, IgA and IgG antibody concentrations against spike 1 (S1), spike 2 (S) and nucleocapsid (N) was conducted using serum samples from 74 patients tested for SARS-CoV-2 RNA on admission to hospital, and 47 historical control patients from March 2019. 59 patients were RNA(+) and 15 were RNA(−). A serum (±) classification was derived for all three antigens and a quantitative serological profile was obtained. Serum(+) was identified in 30% (95% CI 11–48) of initially RNA(−) patients, in 36% (95% CI 17–54) of RNA(+) patients before 10 days, 77% (95% CI 67–87) between 10 and 20 days and 95% (95% CI 86–100) after 21 days. The patientlevel diagnostic accuracy relative to RNA(±) after 10 days displayed 88% sensitivity (95% CI 75–95) and 75% specificity (95% CI 22–99), although specificity compared with historical controls was 100% (95%CI 91–100). This study provides robust support for further evaluation and validation of this novel technology in a clinical setting and highlights challenges inherent in assessment of serological tests for an emerging disease such as COVID-19. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | Attomarker Ltd | en_GB |
dc.identifier.citation | Published online 7 July 2020 | en_GB |
dc.identifier.doi | 10.1039/d0an01066a | |
dc.identifier.grantnumber | EP/C52389X/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/121919 | |
dc.language.iso | en | en_GB |
dc.publisher | Royal Society of Chemistry | en_GB |
dc.rights | This article is licensed under a Creative Commons Attribution 3.0 Unported License | en_GB |
dc.title | Real-world evaluation of a novel technology for quantitative simultaneous antibody detection against multiple SARS-CoV-2 antigens in a cohort of patients presenting with COVID-19 syndrome | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-07-13T13:21:19Z | |
dc.identifier.issn | 0003-2654 | |
dc.description | This is the final version. Available from the publisher via the DOI in this record. | en_GB |
dc.identifier.journal | Analyst | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | en_GB |
dcterms.dateAccepted | 2020-06-22 | |
exeter.funder | ::Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
exeter.funder | ::Attomarker Ltd | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2020-07-08 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-07-13T13:12:27Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2020-07-13T13:21:24Z | |
refterms.panel | A | en_GB |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's licence is described as This article is licensed under a Creative Commons Attribution 3.0 Unported License