A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients

Clin Appl Thromb Hemost. 2020 Jan-Dec:26:1076029620964868. doi: 10.1177/1076029620964868.

Abstract

To discuss the coagulation dysfunction in COVID-19 patients and to find new biomarkers to separate severe COVID-19 patients from mild ones. We use a retrospective analysis of 88 COVID-19 patients, and compare the coagulation function between severe and mild groups. We found the prothrombin time (PT), thrombin time (TT), D-dimer were significantly higher in the severe group (P < 0.05), and the highest area under the curve (AUC) is 0.91 for D-dimer, while the AUC of PT and TT were 0.80 and 0.61 respectively. We identified that D-dimer has a better value in predicting patients who are likely to develop into severe cases, with the sensitivity and specificity were 84.4% and 88.8%, respectively. D-dimer may be a good biomarker to separate the severe COVID-19 patients from the mild ones.

Keywords: biomarkers; blood coagulation factors; coagulation.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Area Under Curve
  • Biomarkers / blood
  • Blood Coagulation Disorders / blood
  • Blood Coagulation Disorders / etiology*
  • Blood Coagulation Disorders / physiopathology
  • Blood Coagulation Tests / methods*
  • COVID-19
  • China
  • Cohort Studies
  • Coronavirus Infections / complications*
  • Coronavirus Infections / diagnosis
  • Female
  • Fibrin Fibrinogen Degradation Products / analysis*
  • Humans
  • Male
  • Middle Aged
  • Pandemics
  • Pneumonia, Viral / complications*
  • Pneumonia, Viral / diagnosis
  • Predictive Value of Tests
  • Prothrombin Time
  • ROC Curve
  • Retrospective Studies
  • Severity of Illness Index
  • Thrombin Time

Substances

  • Biomarkers
  • Fibrin Fibrinogen Degradation Products
  • fibrin fragment D