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Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records
The frequency of, and risk factors for, long COVID are unclear among community-based individuals with a history of COVID-19. To elucidate the burden and possible causes of long COVID in the community, we coordinated analyses of survey data from 6907 individuals with self-reported COVID-19 from 10 UK...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240035/ https://www.ncbi.nlm.nih.gov/pubmed/35764621 http://dx.doi.org/10.1038/s41467-022-30836-0 |
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| author | Thompson, Ellen J. Williams, Dylan M. Walker, Alex J. Mitchell, Ruth E. Niedzwiedz, Claire L. Yang, Tiffany C. Huggins, Charlotte F. Kwong, Alex S. F. Silverwood, Richard J. Di Gessa, Giorgio Bowyer, Ruth C. E. Northstone, Kate Hou, Bo Green, Michael J. Dodgeon, Brian Doores, Katie J. Duncan, Emma L. Williams, Frances M. K. Steptoe, Andrew Porteous, David J. McEachan, Rosemary R. C. Tomlinson, Laurie Goldacre, Ben Patalay, Praveetha Ploubidis, George B. Katikireddi, Srinivasa Vittal Tilling, Kate Rentsch, Christopher T. Timpson, Nicholas J. Chaturvedi, Nishi Steves, Claire J. |
| author_facet | Thompson, Ellen J. Williams, Dylan M. Walker, Alex J. Mitchell, Ruth E. Niedzwiedz, Claire L. Yang, Tiffany C. Huggins, Charlotte F. Kwong, Alex S. F. Silverwood, Richard J. Di Gessa, Giorgio Bowyer, Ruth C. E. Northstone, Kate Hou, Bo Green, Michael J. Dodgeon, Brian Doores, Katie J. Duncan, Emma L. Williams, Frances M. K. Steptoe, Andrew Porteous, David J. McEachan, Rosemary R. C. Tomlinson, Laurie Goldacre, Ben Patalay, Praveetha Ploubidis, George B. Katikireddi, Srinivasa Vittal Tilling, Kate Rentsch, Christopher T. Timpson, Nicholas J. Chaturvedi, Nishi Steves, Claire J. |
| author_sort | Thompson, Ellen J. |
| collection | PubMed |
| description | The frequency of, and risk factors for, long COVID are unclear among community-based individuals with a history of COVID-19. To elucidate the burden and possible causes of long COVID in the community, we coordinated analyses of survey data from 6907 individuals with self-reported COVID-19 from 10 UK longitudinal study (LS) samples and 1.1 million individuals with COVID-19 diagnostic codes in electronic healthcare records (EHR) collected by spring 2021. Proportions of presumed COVID-19 cases in LS reporting any symptoms for 12+ weeks ranged from 7.8% and 17% (with 1.2 to 4.8% reporting debilitating symptoms). Increasing age, female sex, white ethnicity, poor pre-pandemic general and mental health, overweight/obesity, and asthma were associated with prolonged symptoms in both LS and EHR data, but findings for other factors, such as cardio-metabolic parameters, were inconclusive. |
| format | Online Article Text |
| id | pubmed-9240035 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-92400352022-06-30 Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records Thompson, Ellen J. Williams, Dylan M. Walker, Alex J. Mitchell, Ruth E. Niedzwiedz, Claire L. Yang, Tiffany C. Huggins, Charlotte F. Kwong, Alex S. F. Silverwood, Richard J. Di Gessa, Giorgio Bowyer, Ruth C. E. Northstone, Kate Hou, Bo Green, Michael J. Dodgeon, Brian Doores, Katie J. Duncan, Emma L. Williams, Frances M. K. Steptoe, Andrew Porteous, David J. McEachan, Rosemary R. C. Tomlinson, Laurie Goldacre, Ben Patalay, Praveetha Ploubidis, George B. Katikireddi, Srinivasa Vittal Tilling, Kate Rentsch, Christopher T. Timpson, Nicholas J. Chaturvedi, Nishi Steves, Claire J. Nat Commun Article The frequency of, and risk factors for, long COVID are unclear among community-based individuals with a history of COVID-19. To elucidate the burden and possible causes of long COVID in the community, we coordinated analyses of survey data from 6907 individuals with self-reported COVID-19 from 10 UK longitudinal study (LS) samples and 1.1 million individuals with COVID-19 diagnostic codes in electronic healthcare records (EHR) collected by spring 2021. Proportions of presumed COVID-19 cases in LS reporting any symptoms for 12+ weeks ranged from 7.8% and 17% (with 1.2 to 4.8% reporting debilitating symptoms). Increasing age, female sex, white ethnicity, poor pre-pandemic general and mental health, overweight/obesity, and asthma were associated with prolonged symptoms in both LS and EHR data, but findings for other factors, such as cardio-metabolic parameters, were inconclusive. Nature Publishing Group UK 2022-06-28 /pmc/articles/PMC9240035/ /pubmed/35764621 http://dx.doi.org/10.1038/s41467-022-30836-0 Text en © The Author(s) 2022 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 Thompson, Ellen J. Williams, Dylan M. Walker, Alex J. Mitchell, Ruth E. Niedzwiedz, Claire L. Yang, Tiffany C. Huggins, Charlotte F. Kwong, Alex S. F. Silverwood, Richard J. Di Gessa, Giorgio Bowyer, Ruth C. E. Northstone, Kate Hou, Bo Green, Michael J. Dodgeon, Brian Doores, Katie J. Duncan, Emma L. Williams, Frances M. K. Steptoe, Andrew Porteous, David J. McEachan, Rosemary R. C. Tomlinson, Laurie Goldacre, Ben Patalay, Praveetha Ploubidis, George B. Katikireddi, Srinivasa Vittal Tilling, Kate Rentsch, Christopher T. Timpson, Nicholas J. Chaturvedi, Nishi Steves, Claire J. Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records |
| title | Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records |
| title_full | Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records |
| title_fullStr | Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records |
| title_full_unstemmed | Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records |
| title_short | Long COVID burden and risk factors in 10 UK longitudinal studies and electronic health records |
| title_sort | long covid burden and risk factors in 10 uk longitudinal studies and electronic health records |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9240035/ https://www.ncbi.nlm.nih.gov/pubmed/35764621 http://dx.doi.org/10.1038/s41467-022-30836-0 |
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