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Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
Long COVID, or complications arising from COVID-19 weeks after infection, has become a central concern for public health experts. The United States National Institutes of Health founded the RECOVER initiative to better understand long COVID. We used electronic health records available through the Na...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201472/ https://www.ncbi.nlm.nih.gov/pubmed/37217471 http://dx.doi.org/10.1038/s41467-023-38388-7 |
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author | Brannock, M. Daniel Chew, Robert F. Preiss, Alexander J. Hadley, Emily C. Redfield, Signe McMurry, Julie A. Leese, Peter J. Girvin, Andrew T. Crosskey, Miles Zhou, Andrea G. Moffitt, Richard A. Funk, Michele Jonsson Pfaff, Emily R. Haendel, Melissa A. Chute, Christopher G. |
author_facet | Brannock, M. Daniel Chew, Robert F. Preiss, Alexander J. Hadley, Emily C. Redfield, Signe McMurry, Julie A. Leese, Peter J. Girvin, Andrew T. Crosskey, Miles Zhou, Andrea G. Moffitt, Richard A. Funk, Michele Jonsson Pfaff, Emily R. Haendel, Melissa A. Chute, Christopher G. |
author_sort | Brannock, M. Daniel |
collection | PubMed |
description | Long COVID, or complications arising from COVID-19 weeks after infection, has become a central concern for public health experts. The United States National Institutes of Health founded the RECOVER initiative to better understand long COVID. We used electronic health records available through the National COVID Cohort Collaborative to characterize the association between SARS-CoV-2 vaccination and long COVID diagnosis. Among patients with a COVID-19 infection between August 1, 2021 and January 31, 2022, we defined two cohorts using distinct definitions of long COVID—a clinical diagnosis (n = 47,404) or a previously described computational phenotype (n = 198,514)—to compare unvaccinated individuals to those with a complete vaccine series prior to infection. Evidence of long COVID was monitored through June or July of 2022, depending on patients’ data availability. We found that vaccination was consistently associated with lower odds and rates of long COVID clinical diagnosis and high-confidence computationally derived diagnosis after adjusting for sex, demographics, and medical history. |
format | Online Article Text |
id | pubmed-10201472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102014722023-05-23 Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program Brannock, M. Daniel Chew, Robert F. Preiss, Alexander J. Hadley, Emily C. Redfield, Signe McMurry, Julie A. Leese, Peter J. Girvin, Andrew T. Crosskey, Miles Zhou, Andrea G. Moffitt, Richard A. Funk, Michele Jonsson Pfaff, Emily R. Haendel, Melissa A. Chute, Christopher G. Nat Commun Article Long COVID, or complications arising from COVID-19 weeks after infection, has become a central concern for public health experts. The United States National Institutes of Health founded the RECOVER initiative to better understand long COVID. We used electronic health records available through the National COVID Cohort Collaborative to characterize the association between SARS-CoV-2 vaccination and long COVID diagnosis. Among patients with a COVID-19 infection between August 1, 2021 and January 31, 2022, we defined two cohorts using distinct definitions of long COVID—a clinical diagnosis (n = 47,404) or a previously described computational phenotype (n = 198,514)—to compare unvaccinated individuals to those with a complete vaccine series prior to infection. Evidence of long COVID was monitored through June or July of 2022, depending on patients’ data availability. We found that vaccination was consistently associated with lower odds and rates of long COVID clinical diagnosis and high-confidence computationally derived diagnosis after adjusting for sex, demographics, and medical history. Nature Publishing Group UK 2023-05-22 /pmc/articles/PMC10201472/ /pubmed/37217471 http://dx.doi.org/10.1038/s41467-023-38388-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Brannock, M. Daniel Chew, Robert F. Preiss, Alexander J. Hadley, Emily C. Redfield, Signe McMurry, Julie A. Leese, Peter J. Girvin, Andrew T. Crosskey, Miles Zhou, Andrea G. Moffitt, Richard A. Funk, Michele Jonsson Pfaff, Emily R. Haendel, Melissa A. Chute, Christopher G. Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program |
title | Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program |
title_full | Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program |
title_fullStr | Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program |
title_full_unstemmed | Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program |
title_short | Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program |
title_sort | long covid risk and pre-covid vaccination in an ehr-based cohort study from the recover program |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201472/ https://www.ncbi.nlm.nih.gov/pubmed/37217471 http://dx.doi.org/10.1038/s41467-023-38388-7 |
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