Cargando…

371. Estimating SARS-CoV-2 Seroprevalence from Spent Blood Samples, January–March 2021

BACKGROUND: Measuring SARS-CoV-2 antibody prevalence in spent samples at serial time points can determine seropositivity in a diverse pool of individuals to inform understanding of trends as vaccinations are implemented. METHODS: Blood samples collected for clinical testing and then discarded ("...

Descripción completa

Detalles Bibliográficos
Autores principales: Graciaa, Daniel, Verkerke, Hans, Guarner, Jeannette, Moldoveanu, Ana Maria, Cheedarla, Narayana, Arthur, Connie, Neish, Andrew, Auld, Sara, Campbell, Angie, Roback, John, Gandhi, Neel, Shah, Sarita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644628/
http://dx.doi.org/10.1093/ofid/ofab466.572
_version_ 1784610130020532224
author Graciaa, Daniel
Verkerke, Hans
Guarner, Jeannette
Moldoveanu, Ana Maria
Cheedarla, Narayana
Arthur, Connie
Neish, Andrew
Auld, Sara
Campbell, Angie
Roback, John
Gandhi, Neel
Shah, Sarita
author_facet Graciaa, Daniel
Verkerke, Hans
Guarner, Jeannette
Moldoveanu, Ana Maria
Cheedarla, Narayana
Arthur, Connie
Neish, Andrew
Auld, Sara
Campbell, Angie
Roback, John
Gandhi, Neel
Shah, Sarita
author_sort Graciaa, Daniel
collection PubMed
description BACKGROUND: Measuring SARS-CoV-2 antibody prevalence in spent samples at serial time points can determine seropositivity in a diverse pool of individuals to inform understanding of trends as vaccinations are implemented. METHODS: Blood samples collected for clinical testing and then discarded ("spent samples") were obtained from the clinical laboratory of a medical center in Atlanta. A convenience sample of spent samples from both inpatients (medical/surgical floors, intensive care, obstetrics) and outpatients (clinics and ambulatory surgery) were collected one day per week from January-March 2021. Samples were matched to clinical data from the electronic medical record. In-house single dilution serological assays for SARS-CoV-2 receptor binding domain (RBD) and nucleocapsid (N) antibodies were developed and validated using pre-pandemic and PCR-confirmed COVID-19 patient serum and plasma samples (Figure 1). ELISA optical density (OD) cutoffs for seroconversion were chosen using receiver operating characteristic analysis with areas under the curve for all four assays greater than 0.95 after 14 days post symptom onset. IgG profiles were defined as natural infection (RBD and N positive) or vaccinated (RBD positive, N negative). Figure 1. Nucleocapsid serology assay validation [Image: see text] Single dilution serological assays for SARS-CoV-2 nucleocapsid antibodies were validated using pre-pandemic and PCR-confirmed COVID-19 patient serum and plasma samples. ELISA optical density (OD) cutoffs for seroconversion were chosen using receiver operating characteristic (ROC) analysis with areas under the curve (AUC) for all four assays greater than 0.95 after 14 days post symptom onset. RESULTS: A total of 2406 samples were collected from 2132 unique patients. Median age was 58 years (IQR 40-70), with 766 (36%) ≥ 65 years. The majority were female (1173, 55%), and 1341 (63%) were Black. Median Elixhauser comorbidity index was 5 (IQR 2-9). 210 (9.9%) patients ever had SARS-CoV-2 detected by PCR, and 191 (9.0%) received a COVID-19 vaccine within the health system. Nearly half (1186/2406, 49.3%) of samples were collected from inpatient units, 586 (24.4%) from outpatient labs, 403 (16.8%) from the emergency department, and 231 (9.6%) from infusion centers. Overall, 17.0% had the IgG natural infection profile, while 16.2% had a vaccination profile. Prevalence estimates for IgG due to natural infection ranged from 24.0% in week 2 to 9.7% in week 5, and for IgG due to vaccine from 4.4% in week 2 to 32.0% in week 6 (Table, Figure 2). Table. SARS-CoV-2 antibody seropositivity by week of sample collection for spent routine blood chemistry samples. [Image: see text] RBD = receptor binding domain. N = nucleocapsid. Seropositivity defined by enzyme-linked immunoassay (ELISA) optical density cutoffs selected using receiver operating characteristic analysis with areas under the curve (AUC) for all four assays greater than 0.95 after 14 days post symptom onset. IgG defined as positive if both RBD and N seropositive. Figure 2. RBD and Nucleocapsid seropositivity to differentiate natural infection vs. vaccination by week of sample collection. [Image: see text] RBD = receptor binding domain. N = nucleocapsid. Seropositivity defined by enzyme-linked immunoassay (ELISA) optical density cutoffs selected using receiver operating characteristic analysis with areas under the curve (AUC) for all four assays greater than 0.95 after 14 days post symptom onset. CONCLUSION: Estimated SARS-CoV-2 IgG seroprevalence among patients at a medical center from January-March 2021 was 17% by natural infection, and 16% by vaccination. Weekly trends likely reflect community spread and vaccine uptake. DISCLOSURES: Daniel Graciaa, MD, MPH, MSc, Critica, Inc (Consultant)
format Online
Article
Text
id pubmed-8644628
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-86446282021-12-06 371. Estimating SARS-CoV-2 Seroprevalence from Spent Blood Samples, January–March 2021 Graciaa, Daniel Verkerke, Hans Guarner, Jeannette Moldoveanu, Ana Maria Cheedarla, Narayana Arthur, Connie Neish, Andrew Auld, Sara Campbell, Angie Roback, John Gandhi, Neel Shah, Sarita Open Forum Infect Dis Poster Abstracts BACKGROUND: Measuring SARS-CoV-2 antibody prevalence in spent samples at serial time points can determine seropositivity in a diverse pool of individuals to inform understanding of trends as vaccinations are implemented. METHODS: Blood samples collected for clinical testing and then discarded ("spent samples") were obtained from the clinical laboratory of a medical center in Atlanta. A convenience sample of spent samples from both inpatients (medical/surgical floors, intensive care, obstetrics) and outpatients (clinics and ambulatory surgery) were collected one day per week from January-March 2021. Samples were matched to clinical data from the electronic medical record. In-house single dilution serological assays for SARS-CoV-2 receptor binding domain (RBD) and nucleocapsid (N) antibodies were developed and validated using pre-pandemic and PCR-confirmed COVID-19 patient serum and plasma samples (Figure 1). ELISA optical density (OD) cutoffs for seroconversion were chosen using receiver operating characteristic analysis with areas under the curve for all four assays greater than 0.95 after 14 days post symptom onset. IgG profiles were defined as natural infection (RBD and N positive) or vaccinated (RBD positive, N negative). Figure 1. Nucleocapsid serology assay validation [Image: see text] Single dilution serological assays for SARS-CoV-2 nucleocapsid antibodies were validated using pre-pandemic and PCR-confirmed COVID-19 patient serum and plasma samples. ELISA optical density (OD) cutoffs for seroconversion were chosen using receiver operating characteristic (ROC) analysis with areas under the curve (AUC) for all four assays greater than 0.95 after 14 days post symptom onset. RESULTS: A total of 2406 samples were collected from 2132 unique patients. Median age was 58 years (IQR 40-70), with 766 (36%) ≥ 65 years. The majority were female (1173, 55%), and 1341 (63%) were Black. Median Elixhauser comorbidity index was 5 (IQR 2-9). 210 (9.9%) patients ever had SARS-CoV-2 detected by PCR, and 191 (9.0%) received a COVID-19 vaccine within the health system. Nearly half (1186/2406, 49.3%) of samples were collected from inpatient units, 586 (24.4%) from outpatient labs, 403 (16.8%) from the emergency department, and 231 (9.6%) from infusion centers. Overall, 17.0% had the IgG natural infection profile, while 16.2% had a vaccination profile. Prevalence estimates for IgG due to natural infection ranged from 24.0% in week 2 to 9.7% in week 5, and for IgG due to vaccine from 4.4% in week 2 to 32.0% in week 6 (Table, Figure 2). Table. SARS-CoV-2 antibody seropositivity by week of sample collection for spent routine blood chemistry samples. [Image: see text] RBD = receptor binding domain. N = nucleocapsid. Seropositivity defined by enzyme-linked immunoassay (ELISA) optical density cutoffs selected using receiver operating characteristic analysis with areas under the curve (AUC) for all four assays greater than 0.95 after 14 days post symptom onset. IgG defined as positive if both RBD and N seropositive. Figure 2. RBD and Nucleocapsid seropositivity to differentiate natural infection vs. vaccination by week of sample collection. [Image: see text] RBD = receptor binding domain. N = nucleocapsid. Seropositivity defined by enzyme-linked immunoassay (ELISA) optical density cutoffs selected using receiver operating characteristic analysis with areas under the curve (AUC) for all four assays greater than 0.95 after 14 days post symptom onset. CONCLUSION: Estimated SARS-CoV-2 IgG seroprevalence among patients at a medical center from January-March 2021 was 17% by natural infection, and 16% by vaccination. Weekly trends likely reflect community spread and vaccine uptake. DISCLOSURES: Daniel Graciaa, MD, MPH, MSc, Critica, Inc (Consultant) Oxford University Press 2021-12-04 /pmc/articles/PMC8644628/ http://dx.doi.org/10.1093/ofid/ofab466.572 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Abstracts
Graciaa, Daniel
Verkerke, Hans
Guarner, Jeannette
Moldoveanu, Ana Maria
Cheedarla, Narayana
Arthur, Connie
Neish, Andrew
Auld, Sara
Campbell, Angie
Roback, John
Gandhi, Neel
Shah, Sarita
371. Estimating SARS-CoV-2 Seroprevalence from Spent Blood Samples, January–March 2021
title 371. Estimating SARS-CoV-2 Seroprevalence from Spent Blood Samples, January–March 2021
title_full 371. Estimating SARS-CoV-2 Seroprevalence from Spent Blood Samples, January–March 2021
title_fullStr 371. Estimating SARS-CoV-2 Seroprevalence from Spent Blood Samples, January–March 2021
title_full_unstemmed 371. Estimating SARS-CoV-2 Seroprevalence from Spent Blood Samples, January–March 2021
title_short 371. Estimating SARS-CoV-2 Seroprevalence from Spent Blood Samples, January–March 2021
title_sort 371. estimating sars-cov-2 seroprevalence from spent blood samples, january–march 2021
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8644628/
http://dx.doi.org/10.1093/ofid/ofab466.572
work_keys_str_mv AT graciaadaniel 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT verkerkehans 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT guarnerjeannette 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT moldoveanuanamaria 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT cheedarlanarayana 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT arthurconnie 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT neishandrew 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT auldsara 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT campbellangie 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT robackjohn 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT gandhineel 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021
AT shahsarita 371estimatingsarscov2seroprevalencefromspentbloodsamplesjanuarymarch2021