About: The value of clinical parameters in predicting the severity of COVID‐19

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: The value of clinical parameters in predicting the severity of COVID‐19 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	The value of clinical parameters in predicting the severity of COVID‐19
Creator	Li, Wei Li, Yuanyuan Shang, Weifeng Tian, Ming Dong, Junwu Ren, Yali Hu, Jianwu
Source	Medline; PMC
abstract	To study the relationship between clinical indexes and the severity of coronavirus disease 2019 (COVID‐19), and to explore its role in predicting the severity of COVID‐19. Clinical data of 443 patients with COVID‐19 admitted to our hospital were retrospectively analyzed, which were divided into nonsevere group (n = 304) and severe group (n = 139) according to their condition. Clinical indicators were compared between different groups. The differences in sex, age, the proportion of patients with combined heart disease, leukocyte, neutrophil‐to‐lymphocyte ratio (NLR), neutrophil, lymphocyte, platelet, D‐dimer, C‐reactive protein (CRP), procalcitonin, lactate dehydrogenase, and albumin on admission between the two groups were statistically significant (P < .05). Multivariate logistic regression analysis showed NLR and CRP were independent risk factors for severe COVID‐19. Platelets were independent protective factors for severe COVID‐19. The receiver operating characteristic (ROC) curve analysis demonstrated area under the curve of NLR, platelet, CRP, and combination was 0.737, 0.634, 0.734, and 0.774, respectively. NLR, CRP, and platelets can effectively assess the severity of COVID‐19, among which NLR is the best predictor of severe COVID‐19, and the combination of three clinical indicators can further predict severe COVID‐19.
has issue date	2020-06-02(xsd:dateTime)
bibo:doi	10.1002/jmv.26031
bibo:pmid	32436996
has license	no-cc
sha1sum (hex)	89bfdc43925348b07760a0894db129e72fc98bf4
schema:url	https://doi.org/10.1002/jmv.26031
resource representing a document's title	The value of clinical parameters in predicting the severity of COVID‐19
has PubMed Central identifier	PMC7280691
has PubMed identifier	32436996
schema:publication	J Med Virol
resource representing a document's body	covid:89bfdc43925348b07760a0894db129e72fc98bf4#body_text
is schema:about of	named entity 'risk factors' named entity 'lactate dehydrogenase' named entity 'explore' named entity 'patients' named entity 'SEVERE' named entity 'RISK FACTORS' named entity 'ROLE' named entity 'AGE' named entity 'COVID-19' named entity 'admission' named entity 'COVID-19' named entity 'proportion' named entity 'Multivariate' named entity 'indicators' named entity 'groups' named entity 'neutrophil' named entity 'leukocyte' named entity 'lactate dehydrogenase' named entity 'D-dimer' named entity 'COVID-19' named entity 'lymphocyte' named entity 'sample size' named entity 'COVID' named entity 'computed tomographic' named entity 'neutrophil' named entity 'platelet' named entity 'case fatality rate' named entity 'procalcitonin' named entity 'NLR' named entity 'CRP' named entity 'influenza virus' named entity 'CRP' named entity 'neutrophil' named entity 'ESR' named entity 'platelet count' named entity 'COVID-19' named entity 'SARS' named entity 'erythrocyte sedimentation rate' named entity 'CRP' named entity 'platelet' named entity 'NLR' named entity 'procalcitonin' named entity 'laboratory tests' named entity 'coronaviruses' named entity 'logistic regression' named entity 'risk factors' named entity 'viruses' named entity 'leukocyte' named entity 'white blood cells' named entity 'receiver operating characteristic' named entity 'neutrophils' named entity 'C-reactive protein' named entity 'logistic regression' named entity 'platelet' named entity 'NLR' named entity 'leukocyte' named entity '2019-nCoV' named entity 'CRP' named entity 'creatinine' named entity 'infection' named entity 'inflammation' named entity 'interquartile range' named entity 'COVID' named entity 'Binary logistic regression' named entity 'LDH' named entity 'pneumonia' named entity 'double check' named entity 'CRP' named entity 'antiviral drug' named entity 'normal distribution' named entity 'normal distribution' named entity 'reactive oxygen' named entity 'confounders' named entity 'respiratory diseases' named entity 'COVID'

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