Meta-analysis of coagulation parameters associated with disease severity and poor prognosis of COVID-19

Abstract

Background: To determine whether abnormal coagulation parameters are associated with disease severity and poor prognosis in patients with 2019 Corona Virus Disease (COVID-19). Methods: A systematic literature search was conducted using the databases PubMed, Embase, and Web of sciences until April 25, 2020. We included a total of 15 studies with 2277 patients. Platelet count (PLT), prothrombin time (PT), activated partial thromboplastin time (APTT), D-dimer (D-D), and fibrinogen (FIB) were collected and analyzed. The statistical results were expressed as the effect measured by mean difference (MD) with the related 95% confidence interval (CI). Results: The PLT level of severe cases was lower than that of mild cases, while the levels of PT, D-D, and FIB were higher than those of mild cases (P 0.05). PT of ICU patients was significantly longer (P 0.05). The funnel plot and Egger's regression test demonstrated that there was no publication bias. Conclusions: Our data support the notion that coagulopathy could be considered as a risk factor for disease severity and mortality of COVID-19, which may help clinicians to identify the incidence of poor outcomes in COVID-19 patients.

Keywords

• COVID-19
• Coagulation parameters
• Coagulopathy
• Laboratory
• Prognosis