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Severe COVID-19 and coagulopathy: A systematic review and meta-analysis
Ann Acad Med Singap ; 50(4):325-335, 2021.
Article in English | PubMed | ID: covidwho-1227517
ABSTRACT

INTRODUCTION:

Coronavirus disease 2019 (COVID-19)-induced coagulopathy (CIC) has been widely reported in the literature. However, the spectrum of abnormalities associated with CIC has been highly variable.

METHODS:

We conducted a systematic review of the literature (until 1 June 2020) to assess CIC and disease severity during the early COVID-19 pandemic. Primary outcomes were pooled mean differences in platelet count, D-dimer level, prothrombin time, activated partial thromboplastin time (aPTT) and fibrinogen level between non-severe and severe patients, stratified by degree of hypoxaemia or those who died. The risk factors for CIC were analysed. Random-effects meta-analyses and meta-regression were performed using R version 3.6.1, and certainty of evidence was rated using the Grading of Recommendation, Assessment, Development, and Evaluation approach.

RESULTS:

Of the included 5,243 adult COVID-19 patients, patients with severe COVID-19 had a significantly lower platelet count, and higher D-dimer level, prothrombin time and fibrinogen level than non-severe patients. Pooled mean differences in platelet count (-19.7×109/L, 95% confidence interval [CI] -31.7 to -7.6), D-dimer level (0.8μg/mL, 95% CI 0.5-1.1), prothrombin time (0.4 second, 95% CI 0.2-0.6) and fibrinogen level (0.6g/L, 95% CI 0.3-0.8) were significant between the groups. Platelet count and D-dimer level were significant predictors of disease severity on meta-regression analysis. Older men had higher risks of severe coagulopathic disease.

CONCLUSION:

Significant variability in CIC exists between non-severe and severe patients, with platelet count and D-dimer level correlating with disease severity. Routine monitoring of all coagulation parameters may help to assess CIC and decide on the appropriate management.
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Collection: Databases of international organizations Database: PubMed Type of study: Reviews / Systematic review/Meta Analysis Language: English Journal: Ann Acad Med Singap Year: 2021 Document Type: Article

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Collection: Databases of international organizations Database: PubMed Type of study: Reviews / Systematic review/Meta Analysis Language: English Journal: Ann Acad Med Singap Year: 2021 Document Type: Article