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About:
SARS-CoV-2 Viral Load Predicts COVID-19 Mortality
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An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
covidontheweb.inria.fr
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document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
SARS-CoV-2 Viral Load Predicts COVID-19 Mortality
Creator
Zhao, Shan
Glicksberg, Benjamin
Chaudhry, Fayzan
Cordon-Cardo, Carlos
Houldsworth, Jane
»more»
source
MedRxiv
abstract
The need for reliable and widely available SARS-CoV-2 testing is well recognized, but it will be equally necessary to develop quantitative methods that determine viral load in order to guide patient triage and medical decision making. We are the first to report that SARS-CoV-2 viral load at the time of presentation is an independent predictor of COVID-19 mortality in a large patient cohort (n=1,145). Viral loads should be used to identify higher-risk patients that may require more aggressive care and should be included as a key biomarker in the development of predictive algorithms.
has issue date
2020-06-12
(
xsd:dateTime
)
bibo:doi
10.1101/2020.06.11.20128934
has license
medrxiv
sha1sum (hex)
a1fbe97ec8521ddb7624d7f2b2901d7eed813838
schema:url
https://doi.org/10.1101/2020.06.11.20128934
resource representing a document's title
SARS-CoV-2 Viral Load Predicts COVID-19 Mortality
resource representing a document's body
covid:a1fbe97ec8521ddb7624d7f2b2901d7eed813838#body_text
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schema:about
of
named entity 'develop'
named entity 'development'
named entity 'care'
named entity 'COVID-19'
named entity 'DECISION MAKING'
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