Increased Red Cell Distribution Width Is Associated With Disease Severity in Hospitalized Adults With SARS-CoV-2 Infection: An Observational Multicentric Study

Τheodoros Karampitsakos(General University Hospital of Patras), Karolina Akinosoglou(General University Hospital of Patras), Ουρανία Παπαϊωάννου(General University Hospital of Patras), Vassiliki Panou(National and Kapodistrian University of Athens), Athanasios Koromilias(National and Kapodistrian University of Athens), Petros Bakakos(National and Kapodistrian University of Athens), Stelios Loukides(National and Kapodistrian University of Athens), Demosthenes Bouros(National and Kapodistrian University of Athens), Charalampos Gogos(General University Hospital of Patras), Argyrios Tzouvelekis(General University Hospital of Patras)
Frontiers in Medicine
December 11, 2020
Cited by 35Open Access
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Abstract

Background: There is an amenable need for clinically applicable biomarkers in patients with SARS-CoV-2 infection. Red Cell Distribution Width (RDW) has been recently suggested as a prognostic biomarker for COVID-19. Methods: This was an observational study enrolling patients between February 26 and May 15 2020. We aimed to validate the association of the previously published RDW threshold of 14.5% with markers of disease progression and mortality. Results: A total number of 193 hospitalized patients with COVID-19 were enrolled and analyzed. Median age was 61 years (95% CI: 58–64). Patients with baseline RDW ≥14.5% ( n = 41, 19.2%) presented with more progressive disease compared to patients with baseline RDW <14.5% ( n = 156, 80.8%) as indicated by significant differences in maximum FiO2% during hospitalization (median: 100, 95% CI: 45.2–100, vs. 35, 95% CI: 31–40, p = 0.0001, respectively). Values of RDW ≥14.5% were also strongly associated with increased risk of mortality (HR: 4.1, 95% CI: 0.88–19.23), ( p = 0.02). Conclusion: Our study provides evidence to support reproducibility and validity of a specified cut-off threshold of RDW as biomarker of disease severity and mortality in patients with COVID-19.


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