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dc.contributor.authorBorges do Nascimento, Israel Júnior
dc.contributor.authorvon Groote, Thilo Caspar
dc.contributor.authorO'Mathúna, Dónal P
dc.contributor.authorAbdulazeem, Hebatullah Mohamed
dc.contributor.authorHenderson, Catherine
dc.contributor.authorJayarajah, Umesh
dc.contributor.authorWeerasekara, Ishanka
dc.contributor.authorPoklepovic Pericic, Tina
dc.contributor.authorKlapproth, Henning Edgar Gerald
dc.contributor.authorPuljak, Livia
dc.contributor.authorCacic, Nensi
dc.contributor.authorZakarija-Grkovic, Irena
dc.contributor.authorGuimarães, Silvana Mangeon Meirelles
dc.contributor.authorAtallah, Alvaro Nagib
dc.contributor.authorBragazzi, Nicola Luigi
dc.contributor.authorMarcolino, Milena Soriano
dc.contributor.authorMarusic, Ana
dc.contributor.authorJeroncic, Ana
dc.date.accessioned2020-12-10T17:53:05Z
dc.date.available2020-12-10T17:53:05Z
dc.date.issued2020-09-17
dc.identifier.pmid32941548
dc.identifier.doi10.1371/journal.pone.0239235
dc.identifier.urihttp://hdl.handle.net/10147/628650
dc.descriptionNew evidence on the COVID-19 pandemic is being published daily. Ongoing high-quality assessment of this literature is therefore needed to enable clinical practice to be evidence-based. This review builds on a previous scoping review and aimed to identify associations between disease severity and various clinical, laboratory and radiological characteristics. We searched MEDLINE, CENTRAL, EMBASE, Scopus and LILACS for studies published between January 1, 2019 and March 22, 2020. Clinical studies including ≥10 patients with confirmed COVID-19 of any study design were eligible. Two investigators independently extracted data and assessed risk of bias. A quality effects model was used for the meta-analyses. Subgroup analysis and meta-regression identified sources of heterogeneity. For hospitalized patients, studies were ordered by overall disease severity of each population and this order was used as the modifier variable in meta-regression. Overall, 86 studies (n = 91,621) contributed data to the meta-analyses. Severe disease was strongly associated with fever, cough, dyspnea, pneumonia, any computed tomography findings, any ground glass opacity, lymphocytopenia, elevated C-reactive protein, elevated alanine aminotransferase, elevated aspartate aminotransferase, older age and male sex. These variables typically increased in prevalence by 30-73% from mild/early disease through to moderate/severe disease. Among hospitalized patients, 30-78% of heterogeneity was explained by severity of disease. Elevated white blood cell count was strongly associated with more severe disease among moderate/severe hospitalized patients. Elevated lymphocytes, low platelets, interleukin-6, erythrocyte sedimentation rate and D-dimers showed potential associations, while fatigue, gastrointestinal symptoms, consolidation and septal thickening showed non-linear association patterns. Headache and sore throat were associated with the presence of disease, but not with more severe disease. In COVID-19, more severe disease is strongly associated with several clinical, laboratory and radiological characteristics. Symptoms and other variables in early/mild disease appear non-specific and highly heterogeneous. Clinical Trial Registration: PROSPERO CRD42020170623.en_US
dc.language.isoenen_US
dc.subjectCOVID-19en_US
dc.subjectCORONAVIRUSen_US
dc.subjectACUTE HOSPITALSen_US
dc.subjectRADIOLOGYen_US
dc.subjectPATIENT OUTCOMESen_US
dc.subjectRISK FACTORSen_US
dc.titleClinical, laboratory and radiological characteristics and outcomes of novel coronavirus (SARS-CoV-2) infection in humans: A systematic review and series of meta-analyses.en_US
dc.typeArticleen_US
dc.typeOtheren_US
dc.identifier.eissn1932-6203
dc.identifier.journalPloS oneen_US
dc.source.journaltitlePloS one
dc.source.volume15
dc.source.issue9
dc.source.beginpagee0239235
dc.source.endpage
refterms.dateFOA2020-12-10T17:53:07Z
dc.source.countryUnited States


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