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Beck EJ, Hsieh YH, Fernandez RE, Dashler G, Egbert ER, Truelove SA, Garliss C, Wang R, Bloch EM, Shrestha R, Blankson J, Cox AL, Manabe YC, Kickler T, Rothman RE, Redd AD, Tobian AAR, Milstone AM, Quinn TC, Laeyendecker O. Differentiation of Individuals Previously Infected with and Vaccinated for SARS-CoV-2 in an Inner-City Emergency Department. J Clin Microbiol 2022; 60:e0239021. [PMID: 35044204 DOI: 10.1128/jcm.02390-21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Emergency departments (EDs) can serve as surveillance sites for infectious diseases. The objective of this study was to determine the burden of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and to monitor the prevalence of vaccination against coronavirus disease 2019 (COVID-19) among patients attending an urban ED in Baltimore City. Using 1,914 samples of known exposure status, we developed an algorithm to differentiate previously infected, vaccinated, and unexposed individuals using a combination of antibody assays. We applied this testing algorithm to 4,360 samples from ED patients obtained in the spring of 2020 and 2021. Using multinomial logistic regression, we determined factors associated with infection and vaccination. For the algorithm, sensitivity and specificity for identifying vaccinated individuals were 100% and 99%, respectively, and 84% and 100% for previously infected individuals. Among the ED subjects, seroprevalence to SARS-CoV-2 increased from 2% to 24% between April 2020 and March 2021. Vaccination prevalence rose to 11% by mid-March 2021. Marked differences in burden of disease and vaccination coverage were seen by sex, race, and ethnicity. Hispanic patients, though accounting for 7% of the study population, had the highest relative burden of disease (17% of total infections) but with similar vaccination rates. Women and white individuals were more likely to be vaccinated than men or Black individuals. Individuals previously infected with SARS-CoV-2 can often be differentiated from vaccinated individuals using a serologic testing algorithm. The utility of this algorithm can aid in monitoring SARS-CoV-2 exposure and vaccination uptake frequencies and can potentially reflect gender, race, and ethnic health disparities.
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Beck EJ, Hsieh YH, Fernandez RE, Dashler G, Egbert ER, Truelove SA, Garliss C, Wang R, Bloch EM, Shrestha R, Blankson J, Cox AL, Manabe YC, Kickler T, Rothman RE, Redd AD, Tobian AAR, Milstone AM, Quinn TC, Laeyendecker O. Differentiation of Individuals Previously Infected with and Vaccinated for SARS-CoV-2 in an Inner-City Emergency Department. J Clin Microbiol 2022. [PMID: 35044204 DOI: 10.1101/2021.10.13.21264968v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/28/2023] Open
Abstract
Emergency departments (EDs) can serve as surveillance sites for infectious diseases. The objective of this study was to determine the burden of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and to monitor the prevalence of vaccination against coronavirus disease 2019 (COVID-19) among patients attending an urban ED in Baltimore City. Using 1,914 samples of known exposure status, we developed an algorithm to differentiate previously infected, vaccinated, and unexposed individuals using a combination of antibody assays. We applied this testing algorithm to 4,360 samples from ED patients obtained in the spring of 2020 and 2021. Using multinomial logistic regression, we determined factors associated with infection and vaccination. For the algorithm, sensitivity and specificity for identifying vaccinated individuals were 100% and 99%, respectively, and 84% and 100% for previously infected individuals. Among the ED subjects, seroprevalence to SARS-CoV-2 increased from 2% to 24% between April 2020 and March 2021. Vaccination prevalence rose to 11% by mid-March 2021. Marked differences in burden of disease and vaccination coverage were seen by sex, race, and ethnicity. Hispanic patients, though accounting for 7% of the study population, had the highest relative burden of disease (17% of total infections) but with similar vaccination rates. Women and white individuals were more likely to be vaccinated than men or Black individuals. Individuals previously infected with SARS-CoV-2 can often be differentiated from vaccinated individuals using a serologic testing algorithm. The utility of this algorithm can aid in monitoring SARS-CoV-2 exposure and vaccination uptake frequencies and can potentially reflect gender, race, and ethnic health disparities.
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Affiliation(s)
- Evan J Beck
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Yu-Hsiang Hsieh
- Department of Emergency Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Reinaldo E Fernandez
- Department of Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Gaby Dashler
- Department of Emergency Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Emily R Egbert
- Department of Pediatrics, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Shawn A Truelove
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Caroline Garliss
- Department of Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Richard Wang
- Department of Emergency Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Evan M Bloch
- Department of Pathology, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Ruchee Shrestha
- Department of Pathology, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Joel Blankson
- Department of Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Andrea L Cox
- Department of Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Yukari C Manabe
- Department of Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Thomas Kickler
- Department of Pathology, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Richard E Rothman
- Department of Emergency Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Andrew D Redd
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
- Department of Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Aaron A R Tobian
- Department of Pathology, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
| | - Aaron M Milstone
- Department of Pediatrics, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Thomas C Quinn
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
- Department of Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Oliver Laeyendecker
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
- Department of Medicine, Johns Hopkins University School of Medicinegrid.471401.7, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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