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dc.contributor.authorAziz, Muhammad et al.
dc.date.accessioned2021-01-07T22:42:18Z
dc.date.available2021-01-07T22:42:18Z
dc.date.issued2020-07-30
dc.identifier.urihttp://doi.org/10.20524/aog.2020.0527en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12663/2469
dc.description.abstractBackground: COVID-19 pandemic has created a need to identify potential predictors of severe disease. We performed a systematic review and meta-analysis of gastrointestinal predictors of severe COVID-19. Methods: An extensive literature search was performed using PubMed, Embase, Web of Science and Cochrane. Odds ratio (OR) and mean difference (MD) were calculated for proportional and continuous outcomes using a random-effect model. For each outcome, a 95% confidence interval (CI) and P-value were generated. Results: A total of 83 studies (26912 patients, mean age 43.5±16.4 years, 48.2% female) were included. Gastrointestinal predictors of severe COVID-19 included the presence of diarrhea (OR 1.50, 95%CI 1.10-2.03; P=0.01), elevated serum aspartate aminotransferase (AST) (OR 4.00, 95%CI 3.02-5.28; P<0.001), and elevated serum alanine aminotransferase (ALT) (OR 2.54, 95%CI 1.91-3.37; P<0.001). Significantly higher levels of mean AST (MD 14.78 U/L, 95%CI 11.70-17.86 U/L; P<0.001), ALT (MD 11.87 U/L, 95%CI 9.23-14.52 U/L; P<0.001), and total bilirubin (MD 2.08 mmol/L, 95%CI 1.36-2.80 mmol/L; P<0.001) were observed in the severe COVID-19 group compared to non-severe COVID-19 group. Conclusion: Gastrointestinal symptoms and biomarkers should be assessed early to recognize severe COVID-19.en_US
dc.languageEnglishen_US
dc.subjectCOVID-19en_US
dc.subjectCoronavirusen_US
dc.subjectCoronavirus Infectionsen_US
dc.subjectInfectious Diseasesen_US
dc.subjectSARS-CoV-2en_US
dc.subjectDiarrheaen_US
dc.titleGastrointestinal predictors of severe COVID-19: systematic review and meta-analysisen_US
eihealth.countryOthersen_US
eihealth.categoryVirus: natural history, transmission and diagnosticsen_US
eihealth.categoryClinical characterization and managementen_US
eihealth.typePublished Articleen_US
eihealth.maincategorySave Lives / Salvar Vidasen_US


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