Author: Lippi, Giuseppe; Henry, Brandon M.; Sanchis-Gomar, Fabian
Title: Red Blood Cell Distribution Is a Significant Predictor of Severe Illness in Coronavirus Disease 2019 Cord-id: ktv9eh0w Document date: 2020_8_25
ID: ktv9eh0w
Snippet: INTRODUCTION: 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). METHODS: An electronic search was conducted in Medline, Scopus and Web of Science, using the keywords “coronavirus disease 2019†OR “COVID-19†AND â€
Document: INTRODUCTION: 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). METHODS: 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 COÂVID-19 patients with or without severe illness were included in a pooled analysis. RESULTS: 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(2): 88%), revealed that the absolute RDW-CV value was 0.69% higher (95% CI 0.40–0.98%; p < 0.001) in COVID-19 patients with severe illness compared to those with mild disease. CONCLUSION: These results, along with data published in other studies, support the use of RDW for assessing the risk of unfavorable COVID-19 progression.
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