A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)

Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters. EMBASE, MEDLINE, Web of sciences were searc...

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Bibliographic Details
Published in:Biomarker research 2020-08, Vol.8 (1), p.37-37, Article 37
Main Authors: Danwang, Celestin, Endomba, Francky Teddy, Nkeck, Jan René, Wouna, Dominic Leandry Angong, Robert, Annie, Noubiap, Jean Jacques
Format: Article
Language:English
Subjects:
Analysis
Antisatellite weapons
Bilirubin
Biological markers
Biomarkers
Blood tests
C-reactive protein
Calcium-binding protein
Cell number
Coronaviruses
COVID-19
Creatine kinase
Hemoglobin
Hemoglobins
Inflammation
Interleukin 6
Interleukins
Investigations
Leukocytes (eosinophilic)
Lymphocytes
Lymphopenia
Meta-analysis
Myoglobin
Myoglobins
Platelets
Procalcitonin
Prognostic biomarkers
Prothrombin
Review
Thrombin
Thrombocytopenia
Troponin
Troponin I
Urea
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Summary:Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters. EMBASE, MEDLINE, Web of sciences were searched to identify all published studies providing relevant data. Random-effects meta-analysis was used to pool effect sizes. The bibliographic search yielded 287 citations, 31 of which were finally retained. Meta-analysis of standardized mean difference (SMD) between severe and non-severe COVID-19 cases showed that CK-MB (SMD = 0.68,95%CI: 0.48;0.87;
ISSN:2050-7771
2050-7771
DOI:10.1186/s40364-020-00217-0