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Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality
Despite advances in COVID-19 management, identifying patients evolving toward death remains challenging. To identify early predictors of mortality within 60 days of symptom onset (DSO), we performed immunovirological assessments on plasma from 279 individuals. On samples collected at DSO11 in a disc...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626074/ https://www.ncbi.nlm.nih.gov/pubmed/34826237 http://dx.doi.org/10.1126/sciadv.abj5629 |
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author | Brunet-Ratnasingham, Elsa Anand, Sai Priya Gantner, Pierre Dyachenko, Alina Moquin-Beaudry, Gaël Brassard, Nathalie Beaudoin-Bussières, Guillaume Pagliuzza, Amélie Gasser, Romain Benlarbi, Mehdi Point, Floriane Prévost, Jérémie Laumaea, Annemarie Niessl, Julia Nayrac, Manon Sannier, Gérémy Orban, Catherine Messier-Peet, Marc Butler-Laporte, Guillaume Morrison, David R. Zhou, Sirui Nakanishi, Tomoko Boutin, Marianne Descôteaux-Dinelle, Jade Gendron-Lepage, Gabrielle Goyette, Guillaume Bourassa, Catherine Medjahed, Halima Laurent, Laetitia Rébillard, Rose-Marie Richard, Jonathan Dubé, Mathieu Fromentin, Rémi Arbour, Nathalie Prat, Alexandre Larochelle, Catherine Durand, Madeleine Richards, J. Brent Chassé, Michaël Tétreault, Martine Chomont, Nicolas Finzi, Andrés Kaufmann, Daniel E. |
author_facet | Brunet-Ratnasingham, Elsa Anand, Sai Priya Gantner, Pierre Dyachenko, Alina Moquin-Beaudry, Gaël Brassard, Nathalie Beaudoin-Bussières, Guillaume Pagliuzza, Amélie Gasser, Romain Benlarbi, Mehdi Point, Floriane Prévost, Jérémie Laumaea, Annemarie Niessl, Julia Nayrac, Manon Sannier, Gérémy Orban, Catherine Messier-Peet, Marc Butler-Laporte, Guillaume Morrison, David R. Zhou, Sirui Nakanishi, Tomoko Boutin, Marianne Descôteaux-Dinelle, Jade Gendron-Lepage, Gabrielle Goyette, Guillaume Bourassa, Catherine Medjahed, Halima Laurent, Laetitia Rébillard, Rose-Marie Richard, Jonathan Dubé, Mathieu Fromentin, Rémi Arbour, Nathalie Prat, Alexandre Larochelle, Catherine Durand, Madeleine Richards, J. Brent Chassé, Michaël Tétreault, Martine Chomont, Nicolas Finzi, Andrés Kaufmann, Daniel E. |
author_sort | Brunet-Ratnasingham, Elsa |
collection | PubMed |
description | Despite advances in COVID-19 management, identifying patients evolving toward death remains challenging. To identify early predictors of mortality within 60 days of symptom onset (DSO), we performed immunovirological assessments on plasma from 279 individuals. On samples collected at DSO11 in a discovery cohort, high severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral RNA (vRNA), low receptor binding domain–specific immunoglobulin G and antibody-dependent cellular cytotoxicity, and elevated cytokines and tissue injury markers were strongly associated with mortality, including in patients on mechanical ventilation. A three-variable model of vRNA, with predefined adjustment by age and sex, robustly identified patients with fatal outcome (adjusted hazard ratio for log-transformed vRNA = 3.5). This model remained robust in independent validation and confirmation cohorts. Since plasma vRNA’s predictive accuracy was maintained at earlier time points, its quantitation can help us understand disease heterogeneity and identify patients who may benefit from new therapies. |
format | Online Article Text |
id | pubmed-8626074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-86260742021-12-06 Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality Brunet-Ratnasingham, Elsa Anand, Sai Priya Gantner, Pierre Dyachenko, Alina Moquin-Beaudry, Gaël Brassard, Nathalie Beaudoin-Bussières, Guillaume Pagliuzza, Amélie Gasser, Romain Benlarbi, Mehdi Point, Floriane Prévost, Jérémie Laumaea, Annemarie Niessl, Julia Nayrac, Manon Sannier, Gérémy Orban, Catherine Messier-Peet, Marc Butler-Laporte, Guillaume Morrison, David R. Zhou, Sirui Nakanishi, Tomoko Boutin, Marianne Descôteaux-Dinelle, Jade Gendron-Lepage, Gabrielle Goyette, Guillaume Bourassa, Catherine Medjahed, Halima Laurent, Laetitia Rébillard, Rose-Marie Richard, Jonathan Dubé, Mathieu Fromentin, Rémi Arbour, Nathalie Prat, Alexandre Larochelle, Catherine Durand, Madeleine Richards, J. Brent Chassé, Michaël Tétreault, Martine Chomont, Nicolas Finzi, Andrés Kaufmann, Daniel E. Sci Adv Biomedicine and Life Sciences Despite advances in COVID-19 management, identifying patients evolving toward death remains challenging. To identify early predictors of mortality within 60 days of symptom onset (DSO), we performed immunovirological assessments on plasma from 279 individuals. On samples collected at DSO11 in a discovery cohort, high severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral RNA (vRNA), low receptor binding domain–specific immunoglobulin G and antibody-dependent cellular cytotoxicity, and elevated cytokines and tissue injury markers were strongly associated with mortality, including in patients on mechanical ventilation. A three-variable model of vRNA, with predefined adjustment by age and sex, robustly identified patients with fatal outcome (adjusted hazard ratio for log-transformed vRNA = 3.5). This model remained robust in independent validation and confirmation cohorts. Since plasma vRNA’s predictive accuracy was maintained at earlier time points, its quantitation can help us understand disease heterogeneity and identify patients who may benefit from new therapies. American Association for the Advancement of Science 2021-11-26 /pmc/articles/PMC8626074/ /pubmed/34826237 http://dx.doi.org/10.1126/sciadv.abj5629 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). 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 use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Brunet-Ratnasingham, Elsa Anand, Sai Priya Gantner, Pierre Dyachenko, Alina Moquin-Beaudry, Gaël Brassard, Nathalie Beaudoin-Bussières, Guillaume Pagliuzza, Amélie Gasser, Romain Benlarbi, Mehdi Point, Floriane Prévost, Jérémie Laumaea, Annemarie Niessl, Julia Nayrac, Manon Sannier, Gérémy Orban, Catherine Messier-Peet, Marc Butler-Laporte, Guillaume Morrison, David R. Zhou, Sirui Nakanishi, Tomoko Boutin, Marianne Descôteaux-Dinelle, Jade Gendron-Lepage, Gabrielle Goyette, Guillaume Bourassa, Catherine Medjahed, Halima Laurent, Laetitia Rébillard, Rose-Marie Richard, Jonathan Dubé, Mathieu Fromentin, Rémi Arbour, Nathalie Prat, Alexandre Larochelle, Catherine Durand, Madeleine Richards, J. Brent Chassé, Michaël Tétreault, Martine Chomont, Nicolas Finzi, Andrés Kaufmann, Daniel E. Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality |
title | Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality |
title_full | Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality |
title_fullStr | Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality |
title_full_unstemmed | Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality |
title_short | Integrated immunovirological profiling validates plasma SARS-CoV-2 RNA as an early predictor of COVID-19 mortality |
title_sort | integrated immunovirological profiling validates plasma sars-cov-2 rna as an early predictor of covid-19 mortality |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8626074/ https://www.ncbi.nlm.nih.gov/pubmed/34826237 http://dx.doi.org/10.1126/sciadv.abj5629 |
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