4.7 Article

Differentiation of Individuals Previously Infected with and Vaccinated for SARS-CoV-2 in an Inner-City Emergency Department

期刊

JOURNAL OF CLINICAL MICROBIOLOGY
卷 60, 期 3, 页码 -

出版社

AMER SOC MICROBIOLOGY
DOI: 10.1128/jcm.02390-21

关键词

seroprevalence of SARS-CoV-2 antibody; emergency department; factors associated with SARS-CoV-2 infection; COVID-19 vaccination prevalence

资金

  1. Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH)
  2. NIAID [R01AI120938, R01AI120938S1, R01AI128779, K01AI100681, UM1-AI068613]
  3. NIH Center of Excellence in Influenza Research and Surveillance [HHSN272201400007C]
  4. National Heart Lung and Blood Institute [K23HL151826]

向作者/读者索取更多资源

Emergency departments can be used as surveillance sites for infectious diseases. This study aimed to determine the burden of SARS-CoV-2 infection and monitor the prevalence of COVID-19 vaccination among patients attending an urban ED in Baltimore City. A testing algorithm was developed to differentiate between previously infected, vaccinated, and unexposed individuals using antibody assays. The study found significant differences in disease burden and vaccination coverage based on sex, race, and ethnicity.
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. 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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