D-dimer, disease severity, and deaths (3D-study) in patients with COVID-19: a systematic review and meta-analysis of 100 studies

Sci Rep. 2021 Nov 8;11(1):21888. doi: 10.1038/s41598-021-01462-5.

Abstract

Hypercoagulability and the need for prioritizing coagulation markers for prognostic abilities have been highlighted in COVID-19. We aimed to quantify the associations of D-dimer with disease progression in patients with COVID-19. This systematic review and meta-analysis was registered with PROSPERO, CRD42020186661.We included 113 studies in our systematic review, of which 100 records (n = 38,310) with D-dimer data) were considered for meta-analysis. Across 68 unadjusted (n = 26,960) and 39 adjusted studies (n = 15,653) reporting initial D-dimer, a significant association was found in patients with higher D-dimer for the risk of overall disease progression (unadjusted odds ratio (uOR) 3.15; adjusted odds ratio (aOR) 1.64). The time-to-event outcomes were pooled across 19 unadjusted (n = 9743) and 21 adjusted studies (n = 13,287); a strong association was found in patients with higher D-dimers for the risk of overall disease progression (unadjusted hazard ratio (uHR) 1.41; adjusted hazard ratio (aHR) 1.10). The prognostic use of higher D-dimer was found to be promising for predicting overall disease progression (studies 68, area under curve 0.75) in COVID-19. Our study showed that higher D-dimer levels provide prognostic information useful for clinicians to early assess COVID-19 patients at risk for disease progression and mortality outcomes. This study, recommends rapid assessment of D-dimer for predicting adverse outcomes in COVID-19.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Adult
  • Aged
  • Area Under Curve
  • Biomarkers / blood
  • COVID-19 / diagnosis*
  • COVID-19 / epidemiology
  • COVID-19 / immunology*
  • Disease Progression
  • Female
  • Fibrin Fibrinogen Degradation Products / chemistry*
  • Humans
  • Male
  • Middle Aged
  • Odds Ratio
  • Prognosis
  • Proportional Hazards Models
  • Respiration, Artificial
  • Risk
  • SARS-CoV-2
  • Severity of Illness Index
  • Thrombophilia / blood

Substances

  • Biomarkers
  • Fibrin Fibrinogen Degradation Products
  • fibrin fragment D