Facets (new session)
Description
Metadata
Settings
owl:sameAs
Inference Rule:
b3s
b3sifp
dbprdf-label
facets
http://dbpedia.org/resource/inference/rules/dbpedia#
http://dbpedia.org/resource/inference/rules/opencyc#
http://dbpedia.org/resource/inference/rules/umbel#
http://dbpedia.org/resource/inference/rules/yago#
http://dbpedia.org/schema/property_rules#
http://www.ontologyportal.org/inference/rules/SUMO#
http://www.ontologyportal.org/inference/rules/WordNet#
http://www.w3.org/2002/07/owl#
ldp
oplweb
skos-trans
virtrdf-label
None
About:
Laboratory Testing Implications of Risk-Stratification and Management for Improving Clinical Outcomes of COVID-19 Patients
Goto
Sponge
NotDistinct
Permalink
An Entity of Type :
schema:ScholarlyArticle
, within Data Space :
wasabi.inria.fr
associated with source
document(s)
Type:
Academic Article
research paper
schema:ScholarlyArticle
New Facet based on Instances of this Class
Attributes
Values
type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Laboratory Testing Implications of Risk-Stratification and Management for Improving Clinical Outcomes of COVID-19 Patients
Creator
Li, Jie
Wu, Wei
Wang, Jie
Liu, Ziyu
Xiang,
Drs, †
Gao, Yingdong
Hou, Weiye
Li, Changgang
Liu, Caidong
Nie, Zhenling
Sun, Huiling
Wang, Qianghu
Wang, Shukui
Wang, Youli
Wang, Ziyu
Wu, Lingxiang
Xia, Xinyi
Xiang, Changgang
Zhang, Ruisheng
Source
MedRxiv
abstract
The high mortality rate of COVID-19 patients is mainly caused by the progression from mild to critical illness. To identify the key laboratory indicators and stratify high-risk COVID-19 patients with progression to severe/critical illness, we compared 474 moderate patients and 74 severe/critical patients. The laboratory indicators, including lactate dehydrogenase (LDH), monocytes percentage, etc. were significantly higher in the severe/critical patients (P <0.001) and showed a noticeable change at about a week before the diagnosis. Based on these indicators, we constructed a risk-stratification model, which can accurately grade the severity of patients with COVID-19 (accuracy = 0.96, 95% CI: 0.94 - 0.989, sensitivity = 0.98, specificity = 0.84). Also, compared with non-COVID-19 viral pneumonia, we found that COVID-19 had weaker dysfunction to the heart, liver, and kidney. The prognostic model based on laboratory indicators could help to diagnose, monitor, and predict severity at an early stage to those patients with COVID-19.
has issue date
2020-06-14
(
xsd:dateTime
)
bibo:doi
10.1101/2020.06.12.20129098
has license
medrxiv
sha1sum (hex)
b3b394f18ba95c095083243dc921182b2209824b
schema:url
https://doi.org/10.1101/2020.06.12.20129098
resource representing a document's title
Laboratory Testing Implications of Risk-Stratification and Management for Improving Clinical Outcomes of COVID-19 Patients
resource representing a document's body
covid:b3b394f18ba95c095083243dc921182b2209824b#body_text
is
schema:about
of
named entity 'model'
named entity 'patients'
named entity 'randomly'
named entity 'indicators'
named entity 'change'
named entity 'ABOUT'
named entity 'MORTALITY RATE'
named entity 'THESE'
covid:arg/b3b394f18ba95c095083243dc921182b2209824b
named entity 'indicators'
named entity 'indicators'
named entity 'measurements'
named entity 'blood'
named entity 'patients'
named entity 'feature'
named entity 'kidney'
named entity 'constructed'
named entity 'monitor'
named entity 'monocytes'
named entity 'liver'
named entity 'COVID'
named entity 'COVID'
named entity 'monocytes'
named entity 'COVID'
named entity 'critical illness'
named entity 'high-risk'
named entity 'ensemble learning'
named entity 'Clinical Outcomes'
named entity 'prognostic'
named entity 'Missing values'
named entity 'patients'
named entity 'comorbidity'
named entity 'hemoglobin'
named entity 'cross-validation'
named entity 'ROC'
named entity 'NT-proBNP'
named entity 'procalcitonin'
named entity 'Huoshenshan hospital'
named entity 'ACE2'
named entity 'heart disease'
named entity 'diabetes'
named entity '2, 3'
named entity 'ACE2'
named entity 'principal component analysis'
named entity 'Kang Zhang'
named entity 'liver dysfunction'
named entity 'Fisher's exact test'
named entity 'liver'
named entity 'critical illness'
named entity 'SARS-CoV-2'
named entity 'Hypertension'
named entity 'heart disease'
named entity 'comorbidities'
named entity 'cross-validation'
named entity 'cTnT'
named entity 'clinical diagnosis'
named entity 'activated partial thromboplastin time'
named entity 'protein'
named entity 'NT-proBNP'
named entity 'COVID'
named entity 'hypertension'
named entity 'COVID-19'
named entity 'epidemics'
named entity 'moderate cases'
named entity 'vital information'
named entity 'prognosis'
◂◂ First
◂ Prev
Next ▸
Last ▸▸
Page 1 of 6
Go
Faceted Search & Find service v1.13.91 as of Mar 24 2020
Alternative Linked Data Documents:
Sponger
|
ODE
Content Formats:
RDF
ODATA
Microdata
About
OpenLink Virtuoso
version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software