About: Risk factors of severe cases with COVID-19: a meta-analysis

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

About: Risk factors of severe cases with COVID-19: a meta-analysis Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Risk factors of severe cases with COVID-19: a meta-analysis
Creator	Zhang, Jianfeng Li, Zhong Li, Ji Ji, Pan Li, Bocheng Li, Hongyuan Pang, Jielong Zhong, Zhimei Zhu, Jieyun Ou, Mingchun Zheng, Xiaowen
source	Medline; PMC
abstract	Our study aimed to systematically analyse the risk factors of coronavirus disease 2019 (COVID-19) patients with severe disease. An electronic search in eight databases to identify studies describing severe or critically ill COVID-19 patients from 1 January 2020 to 3 April 2020. In the end, we meta-analysed 40 studies involving 5872 COVID-19 patients. The average age was higher in severe COVID-19 patients (weighted mean difference; WMD = 10.69, 95%CI 7.83–13.54). Patients with severe disease showed significantly lower platelet count (WMD = −18.63, 95%CI −30.86 to −6.40) and lymphocyte count (WMD = −0.35, 95%CI −0.41 to −0.30) but higher C-reactive protein (CRP; WMD = 42.7, 95%CI 31.12–54.28), lactate dehydrogenase (LDH; WMD = 137.4, 95%CI 105.5–169.3), white blood cell count（WBC), procalcitonin（PCT）, D-dimer, alanine aminotransferase (ALT), aspartate aminotransferase (AST) and creatinine（Cr）. Similarly, patients who died showed significantly higher WBC, D-dimer, ALT, AST and Cr but similar platelet count and LDH as patients who survived. These results indicate that older age, low platelet count, lymphopenia, elevated levels of LDH, ALT, AST, PCT, Cr and D-dimer are associated with severity of COVID-19 and thus could be used as early identification or even prediction of disease progression.
has issue date	2020-08-12(xsd:dateTime)
bibo:doi	10.1017/s095026882000179x
bibo:pmid	32782035
has license	cc-by
sha1sum (hex)	8b7b6c725993fcaa478cb88b3b0aa5a9fdf4e56e
schema:url	https://doi.org/10.1017/s095026882000179x
resource representing a document's title	Risk factors of severe cases with COVID-19: a meta-analysis
has PubMed Central identifier	PMC7438625
has PubMed identifier	32782035
schema:publication	Epidemiol Infect
resource representing a document's body	covid:8b7b6c725993fcaa478cb88b3b0aa5a9fdf4e56e#body_text
is schema:about of	named entity 'COVID-19' named entity 'SEVERE' named entity 'Infection' named entity 'doi' named entity 'COVID-19' named entity 'meta-analysis' named entity 'Risk factors' named entity 'confounding factors' named entity 'critically ill' named entity 'Italy' named entity 'LDH' named entity 'COVID-19' named entity 'COVID-19' named entity 'small samples' named entity 'LDH' named entity 'lymphocyte count' named entity 'diabetes mellitus' named entity 'Web of Science' named entity 'lymphocyte' named entity 'low platelet count' named entity 'higher risk' named entity 'COVID' named entity 'funnel plot' named entity 'meta-analysis' named entity 'meta-analysis' named entity 'D-dimer' named entity 'mechanical ventilation' named entity 'EMbase' named entity 'China' named entity 'asymptomatic' named entity 'chronic diseases' named entity 'Funnel plot' named entity 'disseminated intravascular coagulation' named entity 'risk factors' named entity 'DIC' named entity 'critically ill patients' named entity 'platelet count' named entity 'older age' named entity '16 February' named entity 'sample size' named entity 'severe acute respiratory syndrome coronavirus 2' named entity 'comorbidities' named entity 'meta-analysis' named entity 'publication bias' named entity 'STATA' named entity 'prospective studies' named entity 'Italy' named entity 'low platelet count' named entity 'liver' named entity 'retrospective studies' named entity 'AST' named entity 'Coronavirus' named entity 'older age' named entity 'COVID' named entity 'follow-up' named entity 'infection' named entity 'prognosis' named entity 'SARS-CoV-2' named entity 'health care systems' named entity 'COVID-19' named entity 'older age' named entity 'myocardial injury' named entity 'fatality rate' named entity 'statistically significant' named entity 'CRP' named entity 'coronavirus disease 2019' named entity 'Observational Studies' named entity 'fatality rate' named entity 'Epidemiology' named entity 'China' named entity 'P-values'

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 © 2009-2025 OpenLink Software