Independent effects of sociodemographic and personal background variables on levels of antibodies from the GEE model.

Independent effects of sociodemographic and personal background variables on levels of antibodies from the GEE model.

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Background: SARS-CoV-2 is a novel human pathogen causing Coronavirus Disease 2019 that has caused widespread global mortality and morbidity. Since health workers in Israel were among the first to be vaccinated, we had a unique opportunity to investigate the post-vaccination level of IgG anti-S levels antibodies (Abs) and their dynamics by demograp...

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... found that antibody levels are almost 20 AU/mL lower in individuals over 50 years old compared to younger ones (p = 0.013). Female gender and working without direct patient contact were found to be associated with higher antibody levels (p = 0.002, 0.009, respectively) ( Table 2) ...

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... Previous studies showed vaccinated individuals have different kinetics of antibody levels compared to convalescent patients, with higher initial levels, but a much faster exponential decrease in people who received mRNA vaccines. Individuals vaccinated with mRNA vaccines have shown a continuous decline of their antibody levels over a period of months 4-6 months post-vaccination [25][26][27][28][29][30][31][32]. Individuals vaccinated with Ad26.COV2.S initially elicit substantially lower antibody responses than mRNA vaccines, but their antibody titers increase over the first few months in some individuals [30,33]. ...
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Around the world, rollout of COVID-19 vaccines has been used as a strategy to end COVID-19-related restrictions and the pandemic. Several COVID-19 vaccine platforms have successfully protected against severe SARS-CoV-2 infection and subsequent deaths. Here, we compared humoral and cellular immunity in response to either infection or vaccination. We examined SARS-CoV-2 spike-specific immune responses from Pfizer/BioNTech BNT162b2, Moderna mRNA-1273, Janssen Ad26.COV2.S, and SARS-CoV-2 infection approximately 4 months post-exposure or vaccination. We found that these three vaccines all generate relatively similar immune responses and elicit a stronger response than natural infection. However, antibody responses to recent viral variants are diminished across all groups. The similarity of immune responses from the three vaccines studied here is an important finding in maximizing global protection as vaccination campaigns continue.
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Background Waning immunity after the coronavirus disease 2019 (COVID-19) vaccinations creates the constant need of boosters. Predicting individual responses to booster vaccines can help in its timely administration. We hypothesized that the humoral response to the first two doses of the BNT162b2 vaccine can predict the response to the booster vaccine. Methods A prospective cohort of hospital health care workers (HCW) that received three doses of the BNT162b2 vaccine. Participants completed serological tests at 1 and 6 months after the second vaccine dose and 1 month after the third. We analyzed predictive factors of antibody levels after the booster using multivariate regression analyses. Results From 289 eligible HCW, 89 (31%) completed the follow-up. Mean age was 48 (±10) and 46 (52%) had daily interaction with patients. The mean (±standard deviation) antibody level 1 month after the second vaccine was 223 (±59) AU/ml, and 31 (35%) had a rapid antibody decline (>50%) in 6 months. Low antibody levels 1 month after the second vaccine and a rapid antibody decline were independent predictors of low antibody levels after the booster vaccine. Conclusions The characteristics of the humoral response to COVID-19 vaccinations show promise in predicting the humoral response to the booster vaccines.