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The BAS(2)IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019
We developed a score, with easily accessible data (age, sex, body mass index, dyspnea, inflammatory parameters), to predict the risk of rapid progression to severe coronavirus disease 2019. Using a cutoff of >6 points, the negative predictive value was 87%.
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499730/ https://www.ncbi.nlm.nih.gov/pubmed/33274248 http://dx.doi.org/10.1093/ofid/ofaa405 |
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author | Kaeuffer, Charlotte Ruch, Yvon Fabacher, Thibaut Hinschberger, Olivier Mootien, Joy Eyriey, Magali Greigert, Valentin Meyer, Nicolas Fafi-Kremer, Samira Lefebvre, Nicolas Hansmann, Yves Martinot, Martin Danion, François |
author_facet | Kaeuffer, Charlotte Ruch, Yvon Fabacher, Thibaut Hinschberger, Olivier Mootien, Joy Eyriey, Magali Greigert, Valentin Meyer, Nicolas Fafi-Kremer, Samira Lefebvre, Nicolas Hansmann, Yves Martinot, Martin Danion, François |
author_sort | Kaeuffer, Charlotte |
collection | PubMed |
description | We developed a score, with easily accessible data (age, sex, body mass index, dyspnea, inflammatory parameters), to predict the risk of rapid progression to severe coronavirus disease 2019. Using a cutoff of >6 points, the negative predictive value was 87%. |
format | Online Article Text |
id | pubmed-7499730 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74997302020-09-21 The BAS(2)IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019 Kaeuffer, Charlotte Ruch, Yvon Fabacher, Thibaut Hinschberger, Olivier Mootien, Joy Eyriey, Magali Greigert, Valentin Meyer, Nicolas Fafi-Kremer, Samira Lefebvre, Nicolas Hansmann, Yves Martinot, Martin Danion, François Open Forum Infect Dis Brief Reports We developed a score, with easily accessible data (age, sex, body mass index, dyspnea, inflammatory parameters), to predict the risk of rapid progression to severe coronavirus disease 2019. Using a cutoff of >6 points, the negative predictive value was 87%. Oxford University Press 2020-09-01 /pmc/articles/PMC7499730/ /pubmed/33274248 http://dx.doi.org/10.1093/ofid/ofaa405 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Brief Reports Kaeuffer, Charlotte Ruch, Yvon Fabacher, Thibaut Hinschberger, Olivier Mootien, Joy Eyriey, Magali Greigert, Valentin Meyer, Nicolas Fafi-Kremer, Samira Lefebvre, Nicolas Hansmann, Yves Martinot, Martin Danion, François The BAS(2)IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019 |
title | The BAS(2)IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019 |
title_full | The BAS(2)IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019 |
title_fullStr | The BAS(2)IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019 |
title_full_unstemmed | The BAS(2)IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019 |
title_short | The BAS(2)IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019 |
title_sort | bas(2)ic score: a useful tool to identify patients at high risk of early progression to severe coronavirus disease 2019 |
topic | Brief Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499730/ https://www.ncbi.nlm.nih.gov/pubmed/33274248 http://dx.doi.org/10.1093/ofid/ofaa405 |
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