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Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort
SHORT SUMMARY: We investigated changes in serologic measurements after COVID-19 vaccination in 19,422 subjects. An individual-level analysis was performed on standardized measurements. Age, infection, vaccine doses, time between doses and serologies, and vaccine type were associated with changes in...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875291/ https://www.ncbi.nlm.nih.gov/pubmed/36713452 http://dx.doi.org/10.3389/fimmu.2022.1079884 |
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author | Collatuzzo, Giulia De Palma, Giuseppe Violante, Francesco S. Porru, Stefano Larese Filon, Francesca Fabianova, Eleonora Violán, Concepción Vimercati, Luigi Leustean, Mihaela Rodriguez-Suarez, Marta Maria Sansone, Emanuele Sala, Emma Zunarelli, Carlotta Lodi, Vittorio Monaco, Maria Grazia Lourdes Spiteri, Gianluca Negro, Corrado Beresova, Jana Carrasco-Ribelles, LucÌa A. Tafuri, Silvio Asafo, Shuffield S. Ditano, Giorgia Abedini, Mahsa Boffetta, Paolo |
author_facet | Collatuzzo, Giulia De Palma, Giuseppe Violante, Francesco S. Porru, Stefano Larese Filon, Francesca Fabianova, Eleonora Violán, Concepción Vimercati, Luigi Leustean, Mihaela Rodriguez-Suarez, Marta Maria Sansone, Emanuele Sala, Emma Zunarelli, Carlotta Lodi, Vittorio Monaco, Maria Grazia Lourdes Spiteri, Gianluca Negro, Corrado Beresova, Jana Carrasco-Ribelles, LucÌa A. Tafuri, Silvio Asafo, Shuffield S. Ditano, Giorgia Abedini, Mahsa Boffetta, Paolo |
author_sort | Collatuzzo, Giulia |
collection | PubMed |
description | SHORT SUMMARY: We investigated changes in serologic measurements after COVID-19 vaccination in 19,422 subjects. An individual-level analysis was performed on standardized measurements. Age, infection, vaccine doses, time between doses and serologies, and vaccine type were associated with changes in serologic levels within 13 months. BACKGROUND: Persistence of vaccine immunization is key for COVID-19 prevention. METHODS: We investigated the difference between two serologic measurements of anti-COVID-19 S1 antibodies in an individual-level analysis on 19,422 vaccinated healthcare workers (HCW) from Italy, Spain, Romania, and Slovakia, tested within 13 months from first dose. Differences in serologic levels were divided by the standard error of the cohort-specific distribution, obtaining standardized measurements. We fitted multivariate linear regression models to identify predictors of difference between two measurements. RESULTS: We observed a progressively decreasing difference in serologic levels from <30 days to 210–240 days. Age was associated with an increased difference in serologic levels. There was a greater difference between the two serologic measurements in infected HCW than in HCW who had never been infected; before the first measurement, infected HCW had a relative risk (RR) of 0.81 for one standard deviation in the difference [95% confidence interval (CI) 0.78–0.85]. The RRs for a 30-day increase in time between first dose and first serology, and between the two serologies, were 1.08 (95% CI 1.07–1.10) and 1.04 (95% CI 1.03–1.05), respectively. The first measurement was a strong predictor of subsequent antibody decrease (RR 1.60; 95% CI 1.56–1.64). Compared with Comirnaty, Spikevax (RR 0.83, 95% CI 0.75–0.92) and mixed vaccines (RR 0.61, 95% CI 0.51–0.74) were smaller decrease in serological level (RR 0.46; 95% CI 0.40–0.54). CONCLUSIONS: Age, COVID-19 infection, number of doses, time between first dose and first serology, time between serologies, and type of vaccine were associated with differences between the two serologic measurements within a 13-month period. |
format | Online Article Text |
id | pubmed-9875291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98752912023-01-26 Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort Collatuzzo, Giulia De Palma, Giuseppe Violante, Francesco S. Porru, Stefano Larese Filon, Francesca Fabianova, Eleonora Violán, Concepción Vimercati, Luigi Leustean, Mihaela Rodriguez-Suarez, Marta Maria Sansone, Emanuele Sala, Emma Zunarelli, Carlotta Lodi, Vittorio Monaco, Maria Grazia Lourdes Spiteri, Gianluca Negro, Corrado Beresova, Jana Carrasco-Ribelles, LucÌa A. Tafuri, Silvio Asafo, Shuffield S. Ditano, Giorgia Abedini, Mahsa Boffetta, Paolo Front Immunol Immunology SHORT SUMMARY: We investigated changes in serologic measurements after COVID-19 vaccination in 19,422 subjects. An individual-level analysis was performed on standardized measurements. Age, infection, vaccine doses, time between doses and serologies, and vaccine type were associated with changes in serologic levels within 13 months. BACKGROUND: Persistence of vaccine immunization is key for COVID-19 prevention. METHODS: We investigated the difference between two serologic measurements of anti-COVID-19 S1 antibodies in an individual-level analysis on 19,422 vaccinated healthcare workers (HCW) from Italy, Spain, Romania, and Slovakia, tested within 13 months from first dose. Differences in serologic levels were divided by the standard error of the cohort-specific distribution, obtaining standardized measurements. We fitted multivariate linear regression models to identify predictors of difference between two measurements. RESULTS: We observed a progressively decreasing difference in serologic levels from <30 days to 210–240 days. Age was associated with an increased difference in serologic levels. There was a greater difference between the two serologic measurements in infected HCW than in HCW who had never been infected; before the first measurement, infected HCW had a relative risk (RR) of 0.81 for one standard deviation in the difference [95% confidence interval (CI) 0.78–0.85]. The RRs for a 30-day increase in time between first dose and first serology, and between the two serologies, were 1.08 (95% CI 1.07–1.10) and 1.04 (95% CI 1.03–1.05), respectively. The first measurement was a strong predictor of subsequent antibody decrease (RR 1.60; 95% CI 1.56–1.64). Compared with Comirnaty, Spikevax (RR 0.83, 95% CI 0.75–0.92) and mixed vaccines (RR 0.61, 95% CI 0.51–0.74) were smaller decrease in serological level (RR 0.46; 95% CI 0.40–0.54). CONCLUSIONS: Age, COVID-19 infection, number of doses, time between first dose and first serology, time between serologies, and type of vaccine were associated with differences between the two serologic measurements within a 13-month period. Frontiers Media S.A. 2023-01-11 /pmc/articles/PMC9875291/ /pubmed/36713452 http://dx.doi.org/10.3389/fimmu.2022.1079884 Text en Copyright © 2023 Collatuzzo, De Palma, Violante, Porru, Larese Filon, Fabianova, Violán, Vimercati, Leustean, Rodriguez-Suarez, Sansone, Sala, Zunarelli, Lodi, Monaco, Spiteri, Negro, Beresova, Carrasco-Ribelles, Tafuri, Asafo, Ditano, Abedini and Boffetta https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Collatuzzo, Giulia De Palma, Giuseppe Violante, Francesco S. Porru, Stefano Larese Filon, Francesca Fabianova, Eleonora Violán, Concepción Vimercati, Luigi Leustean, Mihaela Rodriguez-Suarez, Marta Maria Sansone, Emanuele Sala, Emma Zunarelli, Carlotta Lodi, Vittorio Monaco, Maria Grazia Lourdes Spiteri, Gianluca Negro, Corrado Beresova, Jana Carrasco-Ribelles, LucÌa A. Tafuri, Silvio Asafo, Shuffield S. Ditano, Giorgia Abedini, Mahsa Boffetta, Paolo Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort |
title | Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort |
title_full | Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort |
title_fullStr | Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort |
title_full_unstemmed | Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort |
title_short | Temporal trends of COVID-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: An individual-level analysis within 13 months in the ORCHESTRA cohort |
title_sort | temporal trends of covid-19 antibodies in vaccinated healthcare workers undergoing repeated serological sampling: an individual-level analysis within 13 months in the orchestra cohort |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875291/ https://www.ncbi.nlm.nih.gov/pubmed/36713452 http://dx.doi.org/10.3389/fimmu.2022.1079884 |
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