Beck Evan J, Hsieh Yu-Hsiang, Fernandez Reinaldo E, Dashler Gaby, Egbert Emily R, Truelove Shawn A, Garliss Caroline, Wang Richard, Bloch Evan M, Shrestha Ruchee, Blankson Joel, Cox Andrea L, Manabe Yukari C, Kickler Thomas, Rothman Richard E, Redd Andrew D, Tobian Aaron Ar, Milstone Aaron M, Quinn Thomas C, Laeyendecker Oliver
Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.
Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
medRxiv. 2021 Oct 14:2021.10.13.21264968. doi: 10.1101/2021.10.13.21264968.
Emergency Departments (EDs) can serve as surveillance sites for infectious diseases. Our purpose was to determine the burden of SARS-CoV-2 infection and prevalence of vaccination against COVID-19 among patients attending an urban ED in Baltimore City.
Using 1914 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 4360 samples ED patients obtained in the springs 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 was 100% and 99%, respectively, and 84% and 100% for naturally 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 7% of the study population, had the highest relative burden of disease (17% of total infections) but similar vaccination rates. Women and White individuals were more likely to be vaccinated than men or Black individuals (adjusted odds ratios [aOR] 1.35 [95% CI: 1.02, 1.80] and aOR 2.26 [95% CI: 1.67, 3.07], respectively).
Individuals previously infected with SARS-CoV-2 can be differentiated from vaccinated individuals using a serologic testing algorithm. SARS-CoV-2 exposure and vaccination uptake frequencies reflect gender, race and ethnic health disparities in this urban context.
Using an antibody testing algorithm, we distinguished between immune responses from SARS-CoV-2-infected and vaccinated individuals. When applied to blood samples from an emergency department in Baltimore, disparities in disease burden and vaccine uptake by sex, race, and ethnicity were identified.
急诊科可作为传染病监测点。我们的目的是确定巴尔的摩市一家城市急诊科患者中SARS-CoV-2感染负担及新冠疫苗接种率。
利用1914份已知暴露状态的样本,我们开发了一种算法,通过结合抗体检测来区分既往感染、接种疫苗和未暴露个体。我们将此检测算法应用于2020年春季和2021年春季从急诊科患者中获取的4360份样本。使用多项逻辑回归,我们确定了与感染和疫苗接种相关的因素。
对于该算法,识别接种疫苗个体的敏感性和特异性分别为100%和99%,识别自然感染个体的敏感性和特异性分别为84%和100%。在急诊科受试者中,2020年4月至2021年3月期间,SARS-CoV-2血清阳性率从2%升至24%。到2021年3月中旬,疫苗接种率升至11%。在疾病负担和疫苗接种覆盖率方面,按性别、种族和民族观察到显著差异。西班牙裔患者虽占研究人群的7%,但其疾病相对负担最高(占总感染人数的17%),但疫苗接种率相似。女性和白人个体比男性或黑人个体更有可能接种疫苗(调整后的优势比[aOR]分别为1.35[95%置信区间:1.02,1.80]和aOR 2.26[95%置信区间:1.67,3.07])。
使用血清学检测算法可区分既往感染SARS-CoV-2的个体和接种疫苗的个体。在这一城市环境中,SARS-CoV-2暴露和疫苗接种频率反映了性别、种族和民族健康差异。
使用抗体检测算法,我们区分了SARS-CoV-2感染个体和接种疫苗个体的免疫反应。将其应用于巴尔的摩一家急诊科的血样时,发现了按性别、种族和民族划分的疾病负担和疫苗接种差异。