Association between red blood cell distribution width and mortality and severity among patients with COVID-19: A systematic review and meta-analysis

J Med Virol. 2021 Apr;93(4):2513-2522. doi: 10.1002/jmv.26797. Epub 2021 Jan 26.

Abstract

Emerging evidence has underscored the potential usefulness of red blood cell distribution width (RDW) measurement in predicting the mortality and disease severity of COVID-19. This study aimed to assess the association of the plasma RDW levels with adverse prognosis in COVID-19 patients. A comprehensive literature search from inception to September 2020 was performed to harvest original studies reporting RDW on admission and clinical outcomes among patients hospitalized with COVID-19. RDW levels were compared between cases (patients who died or developed more severe symptoms) and controls (patients who survived or developed less severe symptoms). A total of 14,866 subjects from 10 studies were included in the meta-analysis. Higher levels of RDW were associated with adverse outcomes in COVID-19 patients (mean differences = 0.72; 95% CI = 0.47-0.97; I2 = 89.51%). Deceased patients had higher levels of RDW compared to patients who survived (mean differences = 0.93; 95% CI = 0.63-1.23; I2 = 85.58%). Severely ill COVID-19 patients showed higher levels of RDW, as opposed to patients classified to have milder symptoms (mean differences = 0.61; 95% CI = 0.28-0.94; I2 = 82.18%). Elevated RDW levels were associated with adverse outcomes in COVID-19 patients. This finding warrants further research on whether RDW could be utilized as a simple and reliable biomarker for predicting COVID-19 severity and whether RDW is mechanistically linked with COVID-19 pathophysiology.

Keywords: COVID-19; biomarkers; erythrocyte indices; red blood cell distribution width; severe acute respiratory syndrome coronavirus 2.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Biomarkers / blood
  • COVID-19 / blood*
  • COVID-19 / mortality*
  • COVID-19 / virology
  • Databases, Factual
  • Erythrocyte Indices
  • Erythrocytes / pathology*
  • Hospital Mortality
  • Humans
  • Prognosis
  • SARS-CoV-2 / isolation & purification
  • Severity of Illness Index

Substances

  • Biomarkers