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Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19
The COVID-19 epidemic of 2019–20 is due to the novel coronavirus SARS-CoV-2. Following first case description in December, 2019 this virus has infected over 10 million individuals and resulted in at least 500,000 deaths world-wide. The virus is undergoing rapid mutation, with two major clades of seq...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910290/ https://www.ncbi.nlm.nih.gov/pubmed/33637820 http://dx.doi.org/10.1038/s41598-021-82850-9 |
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author | Nakamichi, Kenji Shen, Jolie Z. Lee, Cecilia S. Lee, Aaron Roberts, Emma A. Simonson, Paul D. Roychoudhury, Pavitra Andriesen, Jessica Randhawa, April K. Mathias, Patrick C. Greninger, Alex L. Jerome, Keith R. Van Gelder, Russell N. |
author_facet | Nakamichi, Kenji Shen, Jolie Z. Lee, Cecilia S. Lee, Aaron Roberts, Emma A. Simonson, Paul D. Roychoudhury, Pavitra Andriesen, Jessica Randhawa, April K. Mathias, Patrick C. Greninger, Alex L. Jerome, Keith R. Van Gelder, Russell N. |
author_sort | Nakamichi, Kenji |
collection | PubMed |
description | The COVID-19 epidemic of 2019–20 is due to the novel coronavirus SARS-CoV-2. Following first case description in December, 2019 this virus has infected over 10 million individuals and resulted in at least 500,000 deaths world-wide. The virus is undergoing rapid mutation, with two major clades of sequence variants emerging. This study sought to determine whether SARS-CoV-2 sequence variants are associated with differing outcomes among COVID-19 patients in a single medical system. Whole genome SARS-CoV-2 RNA sequence was obtained from isolates collected from patients registered in the University of Washington Medicine health system between March 1 and April 15, 2020. Demographic and baseline clinical characteristics of patients and their outcome data including their hospitalization and death were collected. Statistical and machine learning models were applied to determine if viral genetic variants were associated with specific outcomes of hospitalization or death. Full length SARS-CoV-2 sequence was obtained 190 subjects with clinical outcome data. 35 (18.4%) were hospitalized and 14 (7.4%) died from complications of infection. A total of 289 single nucleotide variants were identified. Clustering methods demonstrated two major viral clades, which could be readily distinguished by 12 polymorphisms in 5 genes. A trend toward higher rates of hospitalization of patients with Clade 2 infections was observed (p = 0.06, Fisher’s exact). Machine learning models utilizing patient demographics and co-morbidities achieved area-under-the-curve (AUC) values of 0.93 for predicting hospitalization. Addition of viral clade or sequence information did not significantly improve models for outcome prediction. In summary, SARS-CoV-2 shows substantial sequence diversity in a community-based sample. Two dominant clades of virus are in circulation. Among patients sufficiently ill to warrant testing for virus, no significant difference in outcomes of hospitalization or death could be discerned between clades in this sample. Major risk factors for hospitalization and death for either major clade of virus include patient age and comorbid conditions. |
format | Online Article Text |
id | pubmed-7910290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79102902021-03-02 Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19 Nakamichi, Kenji Shen, Jolie Z. Lee, Cecilia S. Lee, Aaron Roberts, Emma A. Simonson, Paul D. Roychoudhury, Pavitra Andriesen, Jessica Randhawa, April K. Mathias, Patrick C. Greninger, Alex L. Jerome, Keith R. Van Gelder, Russell N. Sci Rep Article The COVID-19 epidemic of 2019–20 is due to the novel coronavirus SARS-CoV-2. Following first case description in December, 2019 this virus has infected over 10 million individuals and resulted in at least 500,000 deaths world-wide. The virus is undergoing rapid mutation, with two major clades of sequence variants emerging. This study sought to determine whether SARS-CoV-2 sequence variants are associated with differing outcomes among COVID-19 patients in a single medical system. Whole genome SARS-CoV-2 RNA sequence was obtained from isolates collected from patients registered in the University of Washington Medicine health system between March 1 and April 15, 2020. Demographic and baseline clinical characteristics of patients and their outcome data including their hospitalization and death were collected. Statistical and machine learning models were applied to determine if viral genetic variants were associated with specific outcomes of hospitalization or death. Full length SARS-CoV-2 sequence was obtained 190 subjects with clinical outcome data. 35 (18.4%) were hospitalized and 14 (7.4%) died from complications of infection. A total of 289 single nucleotide variants were identified. Clustering methods demonstrated two major viral clades, which could be readily distinguished by 12 polymorphisms in 5 genes. A trend toward higher rates of hospitalization of patients with Clade 2 infections was observed (p = 0.06, Fisher’s exact). Machine learning models utilizing patient demographics and co-morbidities achieved area-under-the-curve (AUC) values of 0.93 for predicting hospitalization. Addition of viral clade or sequence information did not significantly improve models for outcome prediction. In summary, SARS-CoV-2 shows substantial sequence diversity in a community-based sample. Two dominant clades of virus are in circulation. Among patients sufficiently ill to warrant testing for virus, no significant difference in outcomes of hospitalization or death could be discerned between clades in this sample. Major risk factors for hospitalization and death for either major clade of virus include patient age and comorbid conditions. Nature Publishing Group UK 2021-02-26 /pmc/articles/PMC7910290/ /pubmed/33637820 http://dx.doi.org/10.1038/s41598-021-82850-9 Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nakamichi, Kenji Shen, Jolie Z. Lee, Cecilia S. Lee, Aaron Roberts, Emma A. Simonson, Paul D. Roychoudhury, Pavitra Andriesen, Jessica Randhawa, April K. Mathias, Patrick C. Greninger, Alex L. Jerome, Keith R. Van Gelder, Russell N. Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19 |
title | Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19 |
title_full | Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19 |
title_fullStr | Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19 |
title_full_unstemmed | Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19 |
title_short | Hospitalization and mortality associated with SARS-CoV-2 viral clades in COVID-19 |
title_sort | hospitalization and mortality associated with sars-cov-2 viral clades in covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910290/ https://www.ncbi.nlm.nih.gov/pubmed/33637820 http://dx.doi.org/10.1038/s41598-021-82850-9 |
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