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dc.contributor.authorWu, Xiaomei et al.
dc.date.accessioned2020-09-23T19:50:31Z
dc.date.available2020-09-23T19:50:31Z
dc.date.issued2020-08
dc.identifier.urihttps://doi.org/10.1080/07853890.2020.1802061en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12663/2263
dc.description.abstractBackground: Early detection of disease progression associated with severe COVID-19, and access to proper medical care lowers fatality rates of severe cases. Currently, no studies had systematically examined the variables in detecting severe COVID-19. Method: Systematic searching of electronic databases identified observational studies which recruited participants with confirmed COVID-19 infection who were divided into different groups according to disease severity were identified. Results: To analysis 41 studies with 5064 patients were included.Patients who are elderly (SMD, 1.90; 95% CI, 1.01 to 2.8), male (OR, 1.71; 95% CI, 1.39 to 2.11) and have comorbidities or flu-like symptoms were significantly associated with the development to severe cases. Severe cases were associated with significant increased WBC (OR, 5.83; 95% CI, 2.76 to 12.32), CRP (OR, 3.62; 95% CI, 1.62 to 8.03), D-dimer (SMD, 1.69; 95% CI, 1.09 to 2.28), AST (OR, 4.64; 95% CI, 3.18 to 6.77) and LDH (OR, 7.94; 95% CI, 2.09 to 30.21). CT manifestation of bilateral lung involvement (OR, 4.55; 95% CI, 2.17 to 9.51) was associated with the severe cases. Conclusions and Relevance: Our findings offer guidance for a wide spectrum of clinicians to early identify severe COVID-19 patients, transport to specialised centres, and initiate appropriate treatment.en_US
dc.languageEnglishen_US
dc.subjectCOVID-19en_US
dc.subjectMeta-Analysisen_US
dc.subjectCoronavirus Infectionsen_US
dc.subjectSystematic Reviewen_US
dc.subjectCoronavirusen_US
dc.titleCharacterisation of clinical, laboratory and imaging factors related to mild vs. severe covid-19 infection: a systematic review and meta-analysisen_US
eihealth.countryOthersen_US
eihealth.categoryVirus: natural history, transmission and diagnosticsen_US
eihealth.categoryClinical characterization and managementen_US
eihealth.categoryHealth systems and servicesen_US
eihealth.typePublished Articleen_US
eihealth.maincategorySave Lives / Salvar Vidasen_US
dc.relation.ispartofjournalAnn. Meden_US


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