D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study

Yumeng Yao1, Jiatian Cao2, Qingqing Wang1

  • 1Department of Infectious Diseases, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032 China.

Insights

Elevated D-dimer levels in COVID-19 patients are linked to increased mortality risk. D-dimer serves as a reliable biomarker for predicting disease severity and clinical outcomes in hospitalized coronavirus disease-19 patients.

Area of Science:

  • Biochemistry
  • Clinical Medicine
  • Epidemiology

Background:

  • Coronavirus disease-19 (COVID-19) has caused millions of cases globally since December 2019.
  • Identifying risk factors for COVID-19 mortality is crucial for patient management.
  • D-dimer is being investigated as a potential biomarker for COVID-19 severity and outcomes.

Purpose of the Study:

  • To explore risk factors associated with mortality in COVID-19 patients.
  • To assess the utility of D-dimer as a biomarker for disease severity and clinical outcomes.
  • To determine the prognostic value of D-dimer levels for in-hospital mortality in COVID-19 patients.

Main Methods:

  • Retrospective analysis of 248 COVID-19 patients' clinical, laboratory, and radiological data.
  • Univariable and multivariable logistic regression to identify mortality risk factors.
  • Correlation analysis and ROC curve to evaluate D-dimer's association with severity and mortality.

Main Results:

  • D-dimer > 2.0 mg/L at admission was the sole predictor of increased mortality risk (OR 10.17, P=0.041).
  • D-dimer levels significantly correlated with increasing COVID-19 severity (clinical and CT staging).
  • A D-dimer level > 2.14 mg/L predicted in-hospital mortality with 88.2% sensitivity and 71.3% specificity (AUC 0.85).

Conclusions:

  • D-dimer is frequently elevated in COVID-19 patients.
  • D-dimer levels correlate with COVID-19 disease severity.
  • D-dimer is a reliable prognostic marker for in-hospital mortality in COVID-19 patients.
Abstract