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Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic
OBJECTIVES: The predictors of SARS-CoV-2 reinfection are unclear. We examined predictors of reinfection with pre-Omicron and Omicron variants among COVID-19-recovered individuals. METHODS: Randomly selected COVID-19-recovered patients (N = 1004) who donated convalescent plasma during 2020 were inter...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106114/ https://www.ncbi.nlm.nih.gov/pubmed/37072052 http://dx.doi.org/10.1016/j.ijid.2023.04.395 |
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author | Cohen, Dani Izak, Marina Stoyanov, Evgeniy Mandelboim, Michal Perlman, Saritte Amir, Yonatan Goren, Sophy Bialik, Anya Kliker, Limor Atari, Nofar Yshai, Ruti Zaide, Yona Marcus, Hadar Madar-Balakirski, Noa Israely, Tomer Paran, Nir Zimhony, Oren Shinar, Eilat Maor, Yasmin Muhsen, Khitam |
author_facet | Cohen, Dani Izak, Marina Stoyanov, Evgeniy Mandelboim, Michal Perlman, Saritte Amir, Yonatan Goren, Sophy Bialik, Anya Kliker, Limor Atari, Nofar Yshai, Ruti Zaide, Yona Marcus, Hadar Madar-Balakirski, Noa Israely, Tomer Paran, Nir Zimhony, Oren Shinar, Eilat Maor, Yasmin Muhsen, Khitam |
author_sort | Cohen, Dani |
collection | PubMed |
description | OBJECTIVES: The predictors of SARS-CoV-2 reinfection are unclear. We examined predictors of reinfection with pre-Omicron and Omicron variants among COVID-19-recovered individuals. METHODS: Randomly selected COVID-19-recovered patients (N = 1004) who donated convalescent plasma during 2020 were interviewed between August 2021 and March 2022 regarding COVID-19 vaccination and laboratory-proven reinfection. The sera from 224 (22.3%) participants were tested for antispike (anti-S) immunoglobulin G and neutralizing antibodies. RESULTS: The participants’ median age was 31.1 years (78.6% males). The overall reinfection incidence rate was 12.8%; 2.7% versus 21.6% for the pre-Omicron (mostly Delta) versus Omicron variants. Negative associations were found between fever during the first illness and pre-Omicron reinfection: relative risk 0.29 (95% confidence interval 0.09-0.94), high anti-N level at first illness and Omicron reinfection: 0.53 (0.33-0.85), and overall reinfection: 0.56 (0.37-0.84), as well as between subsequent COVID-19 vaccination with the BNT162b2 vaccine and pre-Omicron 0.15 (0.07-0.32), Omicron 0.48 (0.25-0.45), and overall reinfections 0.38 (0.25-0.58). These variables significantly correlated with immunoglobulin G anti-S follow-up levels. High pre-existing anti-S binding and neutralizing antibody levels against the SARS-CoV-2 Wuhan and Alpha strains predicted protection against Omicron reinfections. CONCLUSION: Strong immune responses after the first COVID-19 infection and subsequent vaccination with the BNT162b2 vaccine provided cross-protection against reinfections with the Delta and Omicron variants. |
format | Online Article Text |
id | pubmed-10106114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101061142023-04-17 Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic Cohen, Dani Izak, Marina Stoyanov, Evgeniy Mandelboim, Michal Perlman, Saritte Amir, Yonatan Goren, Sophy Bialik, Anya Kliker, Limor Atari, Nofar Yshai, Ruti Zaide, Yona Marcus, Hadar Madar-Balakirski, Noa Israely, Tomer Paran, Nir Zimhony, Oren Shinar, Eilat Maor, Yasmin Muhsen, Khitam Int J Infect Dis Article OBJECTIVES: The predictors of SARS-CoV-2 reinfection are unclear. We examined predictors of reinfection with pre-Omicron and Omicron variants among COVID-19-recovered individuals. METHODS: Randomly selected COVID-19-recovered patients (N = 1004) who donated convalescent plasma during 2020 were interviewed between August 2021 and March 2022 regarding COVID-19 vaccination and laboratory-proven reinfection. The sera from 224 (22.3%) participants were tested for antispike (anti-S) immunoglobulin G and neutralizing antibodies. RESULTS: The participants’ median age was 31.1 years (78.6% males). The overall reinfection incidence rate was 12.8%; 2.7% versus 21.6% for the pre-Omicron (mostly Delta) versus Omicron variants. Negative associations were found between fever during the first illness and pre-Omicron reinfection: relative risk 0.29 (95% confidence interval 0.09-0.94), high anti-N level at first illness and Omicron reinfection: 0.53 (0.33-0.85), and overall reinfection: 0.56 (0.37-0.84), as well as between subsequent COVID-19 vaccination with the BNT162b2 vaccine and pre-Omicron 0.15 (0.07-0.32), Omicron 0.48 (0.25-0.45), and overall reinfections 0.38 (0.25-0.58). These variables significantly correlated with immunoglobulin G anti-S follow-up levels. High pre-existing anti-S binding and neutralizing antibody levels against the SARS-CoV-2 Wuhan and Alpha strains predicted protection against Omicron reinfections. CONCLUSION: Strong immune responses after the first COVID-19 infection and subsequent vaccination with the BNT162b2 vaccine provided cross-protection against reinfections with the Delta and Omicron variants. The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2023-07 2023-04-16 /pmc/articles/PMC10106114/ /pubmed/37072052 http://dx.doi.org/10.1016/j.ijid.2023.04.395 Text en © 2023 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Cohen, Dani Izak, Marina Stoyanov, Evgeniy Mandelboim, Michal Perlman, Saritte Amir, Yonatan Goren, Sophy Bialik, Anya Kliker, Limor Atari, Nofar Yshai, Ruti Zaide, Yona Marcus, Hadar Madar-Balakirski, Noa Israely, Tomer Paran, Nir Zimhony, Oren Shinar, Eilat Maor, Yasmin Muhsen, Khitam Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic |
title | Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic |
title_full | Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic |
title_fullStr | Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic |
title_full_unstemmed | Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic |
title_short | Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic |
title_sort | predictors of reinfection with pre-omicron and omicron variants of concern among individuals who recovered from covid-19 in the first year of the pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106114/ https://www.ncbi.nlm.nih.gov/pubmed/37072052 http://dx.doi.org/10.1016/j.ijid.2023.04.395 |
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