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10.1093/ofid/ofaa387

http://scihub22266oqcxt.onion/10.1093/ofid/ofaa387
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32989419!7499696!32989419
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suck abstract from ncbi

pmid32989419      Open+Forum+Infect+Dis 2020 ; 7 (9): ofaa387
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  • The Antibody Response to SARS-CoV-2 Infection #MMPMID32989419
  • Hueston L; Kok J; Guibone A; McDonald D; Hone G; Goodwin J; Carter I; Basile K; Sandaradura I; Maddocks S; Sintchenko V; Gilroy N; Chen S; Dwyer DE; O'Sullivan MVN
  • Open Forum Infect Dis 2020[Sep]; 7 (9): ofaa387 PMID32989419show ga
  • BACKGROUND: Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific antibodies has become an important tool, complementing nucleic acid tests (NATs) for diagnosis and for determining the prevalence of coronavirus disease 2019 (COVID-19) in population serosurveys. The magnitude and persistence of antibody responses are critical for assessing the duration of immunity. METHODS: A SARS-CoV-2-specific immunofluorescent antibody (IFA) assay for immunoglobulin G (IgG), immunoglobulin A (IgA), and immunoglobulin M (IgM) was developed and prospectively evaluated by comparison to the reference standard of NAT on respiratory tract samples from individuals with suspected COVID-19. Neutralizing antibody responses were measured in a subset of samples using a standard microneutralization assay. RESULTS: A total of 2753 individuals were eligible for the study (126 NAT-positive; prevalence, 4.6%). The median "window period" from illness onset to appearance of antibodies (range) was 10.2 (5.8-14.4) days. The sensitivity and specificity of either SARS-CoV-2 IgG, IgA, or IgM when collected >/=14 days after symptom onset were 91.3% (95% CI, 84.9%-95.6%) and 98.9% (95% CI, 98.4%-99.3%), respectively. The negative predictive value was 99.6% (95% CI, 99.3%-99.8%). The positive predictive value of detecting any antibody class was 79.9% (95% CI, 73.3%-85.1%); this increased to 96.8% (95% CI, 90.7%-99.0%) for the combination of IgG and IgA. CONCLUSIONS: Measurement of SARS-CoV-2-specific antibody by IFA is an accurate method to diagnose COVID-19. Serological testing should be incorporated into diagnostic algorithms for SARS-CoV-2 infection to identify additional cases where NAT was not performed and resolve cases where false-negative and false-positive NATs are suspected. The majority of individuals develop robust antibody responses following infection, but the duration of these responses and implications for immunity remain to be established.
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