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RESEARCH PRODUCT

Red Blood Cell Distribution Is a Significant Predictor of Severe Illness in Coronavirus Disease 2019

Fabian Sanchis-gomarGiuseppe LippiBrandon Michael Henry

subject

medicine.medical_specialtyRespiratory tract infectionsCoronavirus disease 2019 (COVID-19)business.industryCOVID-19 Coronavirus Red blood cell distribution widthMEDLINECOVID-19Red blood cell distribution widthHematologyGeneral Medicinemedicine.disease_causeCoronavirusRed blood cellmedicine.anatomical_structureRed blood cell distribution widthInternal medicinemedicineDistribution (pharmacology)In patientSystematic ReviewbusinessCoronavirus

description

<b><i>Introduction:</i></b> As red blood cell distribution width (RDW) significantly predicts clinical outcomes in patients with respiratory tract infections and in those with critical illnesses, we performed a critical analysis of the literature to explore the potential prognostic role of this laboratory parameter in coronavirus disease 2019 (COVID-19). <b><i>Methods:</i></b> An electronic search was conducted in Medline, Scopus and Web of Science, using the keywords “coronavirus disease 2019” OR “COVID-19” AND “red blood cell distribution width” OR “RDW” in all fields, up to the present time, with no language restriction. Studies reporting the value of RDW-CV in CO­VID-19 patients with or without severe illness were included in a pooled analysis. <b><i>Results:</i></b> The pooled analysis included 3 studies, totaling 11,445 COVID-19 patients’ samples (2,654 with severe disease; 23.2%). In all investigations RDW-CV was higher in COVID-19 patients with severe illness than in those with mild disease, with differences between 0.30 and 0.70%. The pooled analysis, despite consistent heterogeneity (<i>I</i><sup>2</sup>: 88%), revealed that the absolute RDW-CV value was 0.69% higher (95% CI 0.40–0.98%; <i>p</i> < 0.001) in COVID-19 patients with severe illness compared to those with mild disease. <b><i>Conclusion:</i></b> These results, along with data published in other studies, support the use of RDW for assessing the risk of unfavorable COVID-19 progression.

10.1159/000510914http://hdl.handle.net/11562/1023521