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2353. SARS-CoV-2 Variants among US Veterans after COVID-19 Bivalent Vaccine Administration
BACKGROUND: The US Department of Veterans Affairs (VA) created the Sequencing For Research, Clinical, Epidemiology (SEQFORCE) Program in July 2021 to conduct SARS-CoV-2 Whole Genome Sequencing (WGS). Herein, we describe SARS-CoV-2 variants associated with COVID-19 infection, including after bivalent...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677927/ http://dx.doi.org/10.1093/ofid/ofad500.1974 |
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author | Holodniy, Mark Pei, Ying Stack, Gary Wade, Christopher L Agrawal, Yashpal Barasch, Nicholas Baddoura, Fady Carmen Frias-Kletecka, M Stacey Klutts, J Wang-rodriguez, Jessica |
author_facet | Holodniy, Mark Pei, Ying Stack, Gary Wade, Christopher L Agrawal, Yashpal Barasch, Nicholas Baddoura, Fady Carmen Frias-Kletecka, M Stacey Klutts, J Wang-rodriguez, Jessica |
author_sort | Holodniy, Mark |
collection | PubMed |
description | BACKGROUND: The US Department of Veterans Affairs (VA) created the Sequencing For Research, Clinical, Epidemiology (SEQFORCE) Program in July 2021 to conduct SARS-CoV-2 Whole Genome Sequencing (WGS). Herein, we describe SARS-CoV-2 variants associated with COVID-19 infection, including after bivalent vaccination. METHODS: Demographics, COVID-19 vaccinations, hospitalizations, SARS-CoV-2 variants, and Charlson comorbidity index variables were extracted from VA data sources from 7/1/21-4/1/23. Eligible respiratory samples required a positive RT-PCR result from any platform with cycle threshold < 30. WGS was performed using 3 different platforms (Clear Labs, Illumina, ThermoFisher) at the 9 laboratories and one analytic pipeline (PraediGene, Bitscopic) using Pangolin and Nextclade. Post-vaccine COVID-19 infection was defined as > 2 weeks after COVID-19 vaccine receipt. RESULTS: Over 41,000 samples from 150 VA clinical sites across all geographical locations in the country have been analyzed by 9 SEQFORCE laboratories since July 1, 2021 (Figure 1), including 28,800 after vaccine breakthrough infection (Table 1). Since October 1, 2022, 3,087 patients had SARS-CoV-2 variants characterized including 986 after bivalent vaccination, 1,191 who were fully vaccinated (including Janssen), but not boosted and didn’t receive a bivalent vaccine dose, and 910 who were never vaccinated (Figure 2) according to VA records. Those who received bivalent vaccine were significantly older, male, and had higher Charlson morbidity scores compared to those not receiving a bivalent vaccine. There was no difference in infection rates based on type of bivalent vaccine received. Bivalent vaccine recipients had significantly more XBB and less BA.5 variants, compared to not receiving a bivalent vaccine (p < 0.0001 for both comparisons). [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: VA established a SARS-CoV-2 sequencing consortium to track variants for clinical and epidemiological indications. Sample submission was voluntary and therefore may have limited geographic, temporal and clinical diversity among patient samples analyzed. Significantly more XBB and less BA.5 variants were found after bivalent vaccination infection compared to other contemporaneous variants among those not receiving bivalent vaccine. DISCLOSURES: M. Carmen Frias-Kletecka, MD, Sanofi: Honoraria |
format | Online Article Text |
id | pubmed-10677927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106779272023-11-27 2353. SARS-CoV-2 Variants among US Veterans after COVID-19 Bivalent Vaccine Administration Holodniy, Mark Pei, Ying Stack, Gary Wade, Christopher L Agrawal, Yashpal Barasch, Nicholas Baddoura, Fady Carmen Frias-Kletecka, M Stacey Klutts, J Wang-rodriguez, Jessica Open Forum Infect Dis Abstract BACKGROUND: The US Department of Veterans Affairs (VA) created the Sequencing For Research, Clinical, Epidemiology (SEQFORCE) Program in July 2021 to conduct SARS-CoV-2 Whole Genome Sequencing (WGS). Herein, we describe SARS-CoV-2 variants associated with COVID-19 infection, including after bivalent vaccination. METHODS: Demographics, COVID-19 vaccinations, hospitalizations, SARS-CoV-2 variants, and Charlson comorbidity index variables were extracted from VA data sources from 7/1/21-4/1/23. Eligible respiratory samples required a positive RT-PCR result from any platform with cycle threshold < 30. WGS was performed using 3 different platforms (Clear Labs, Illumina, ThermoFisher) at the 9 laboratories and one analytic pipeline (PraediGene, Bitscopic) using Pangolin and Nextclade. Post-vaccine COVID-19 infection was defined as > 2 weeks after COVID-19 vaccine receipt. RESULTS: Over 41,000 samples from 150 VA clinical sites across all geographical locations in the country have been analyzed by 9 SEQFORCE laboratories since July 1, 2021 (Figure 1), including 28,800 after vaccine breakthrough infection (Table 1). Since October 1, 2022, 3,087 patients had SARS-CoV-2 variants characterized including 986 after bivalent vaccination, 1,191 who were fully vaccinated (including Janssen), but not boosted and didn’t receive a bivalent vaccine dose, and 910 who were never vaccinated (Figure 2) according to VA records. Those who received bivalent vaccine were significantly older, male, and had higher Charlson morbidity scores compared to those not receiving a bivalent vaccine. There was no difference in infection rates based on type of bivalent vaccine received. Bivalent vaccine recipients had significantly more XBB and less BA.5 variants, compared to not receiving a bivalent vaccine (p < 0.0001 for both comparisons). [Figure: see text] [Figure: see text] [Figure: see text] CONCLUSION: VA established a SARS-CoV-2 sequencing consortium to track variants for clinical and epidemiological indications. Sample submission was voluntary and therefore may have limited geographic, temporal and clinical diversity among patient samples analyzed. Significantly more XBB and less BA.5 variants were found after bivalent vaccination infection compared to other contemporaneous variants among those not receiving bivalent vaccine. DISCLOSURES: M. Carmen Frias-Kletecka, MD, Sanofi: Honoraria Oxford University Press 2023-11-27 /pmc/articles/PMC10677927/ http://dx.doi.org/10.1093/ofid/ofad500.1974 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Holodniy, Mark Pei, Ying Stack, Gary Wade, Christopher L Agrawal, Yashpal Barasch, Nicholas Baddoura, Fady Carmen Frias-Kletecka, M Stacey Klutts, J Wang-rodriguez, Jessica 2353. SARS-CoV-2 Variants among US Veterans after COVID-19 Bivalent Vaccine Administration |
title | 2353. SARS-CoV-2 Variants among US Veterans after COVID-19 Bivalent Vaccine Administration |
title_full | 2353. SARS-CoV-2 Variants among US Veterans after COVID-19 Bivalent Vaccine Administration |
title_fullStr | 2353. SARS-CoV-2 Variants among US Veterans after COVID-19 Bivalent Vaccine Administration |
title_full_unstemmed | 2353. SARS-CoV-2 Variants among US Veterans after COVID-19 Bivalent Vaccine Administration |
title_short | 2353. SARS-CoV-2 Variants among US Veterans after COVID-19 Bivalent Vaccine Administration |
title_sort | 2353. sars-cov-2 variants among us veterans after covid-19 bivalent vaccine administration |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10677927/ http://dx.doi.org/10.1093/ofid/ofad500.1974 |
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