Coagulopathy in patients with COVID-19: a systematic review and meta-analysis

Aging (Albany NY). 2020 Nov 24;12(24):24535-24551. doi: 10.18632/aging.104138. Epub 2020 Nov 24.

Abstract

COVID-19 patients frequently exhibit coagulation abnormalities and thrombotic events. In this meta-analysis, we investigated the association between coagulopathy and the severity of COVID-19 illness. Using PubMed, Embase, Cochrane, WanFang Database, CNKI, and medRxiv, a systematic literature search was conducted for studies published between December 1, 2019 and May 1, 2020. We then analyzed coagulation parameters in COVID-19 patients exhibiting less severe and more severe symptoms. All statistical analyses were performed using Stata14.0 software. A total of 3,952 confirmed COVID-19 patients from 25 studies were included in the meta-analysis. Patients with severe symptoms exhibited higher levels of D-dimer, prothrombin time (PT), and fibrinogen (FIB) than patients with less severe symptoms (SMD 0.83, 95% CI: 0.70-0.97, I2 56.9%; SMD 0.39, 95% CI: 0.14-0.64, I2 79.4%; and SMD 0.35, 95% CI: 0.17-0.53, I2 42.4%, respectively). However, platelet and activated partial thromboplastin times did not differ (SMD -0.26, 95% CI: -0.56-0.05, I2 82.2%; and SMD -0.14, 95% CI: -0.45-0.18, I2 75.7%, respectively). These findings demonstrate that hypercoagulable coagulopathy is associated with the severity of COVID-19 symptoms and that D-dimer, PT, and FIB values are the main parameters that should be considered when evaluating coagulopathy in COVID-19 patients.

Keywords: COVID-19; coagulation; coagulopathy; coronavirus; disease severity.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Biomarkers
  • Blood Coagulation Disorders / blood
  • Blood Coagulation Disorders / diagnosis
  • Blood Coagulation Disorders / epidemiology
  • Blood Coagulation Disorders / etiology*
  • Blood Coagulation Tests / methods
  • COVID-19 / complications*
  • COVID-19 / epidemiology
  • COVID-19 / virology
  • Disease Susceptibility
  • Humans
  • Publication Bias
  • Retrospective Studies
  • SARS-CoV-2*
  • Sensitivity and Specificity
  • Severity of Illness Index

Substances

  • Biomarkers