Red Blood Cell Distribution Width (RDW) Predicts COVID-19 Severity: A Prospective, Observational Study from the Cincinnati SARS-CoV-2 Emergency Department Cohort
Título
Red Blood Cell Distribution Width (RDW) Predicts COVID-19 Severity: A Prospective, Observational Study from the Cincinnati SARS-CoV-2 Emergency Department Cohort
Autor
Brandon Michael Henry, Justin Lee Benoit, Stefanie Benoit, Christina Pulvino, Brandon A. Berger, Maria Helena Santos de Olivera, Christopher A. Crutchfield, Giuseppe Lippi
Descripción
Since previous evidence has demonstrated that red blood cell distribution width (RDW) may be a useful prognostic parameter in many critical illnesses and infectious diseases, we investigated the utility of RDW for monitoring patients with coronavirus disease 2019 (COVID-19). The study population consisted of 49 COVID-19 patients, including 16 (32.6%) with severe illness, 12 (24.5%) with severe acute kidney injury (AKI), and 8 (16.3%) requiring renal replacement therapy (RRT). The predictive value of blood tests, performed during emergency department evaluation, was then addressed. A progressive increase of RDW was observed with advancing COVID-19 severity. The area under the curve (AUC) of RDW was 0.73 for predicting severe illness, 0.80 for severe AKI, and 0.83 for RRT, respectively. In multivariate analysis, elevated RDW was associated with 9-fold and 16-fold increased odds of severe COVID-19 and AKI, respectively. The results of this study suggest that RDW should be part of routine laboratory assessment and monitoring of COVID-19.
Fecha
2020
Materia
infections, diagnostics, acute kidney injury, Hematology, red blood cells, anisocytosis
Identificador
10.3390/diagnostics10090618
Fuente
Epidemiology and Health
Editor
Korean Society of Epidemiology
Cobertura
Medicine (General)
Colección
Citación
Brandon Michael Henry, Justin Lee Benoit, Stefanie Benoit, Christina Pulvino, Brandon A. Berger, Maria Helena Santos de Olivera, Christopher A. Crutchfield, Giuseppe Lippi, “Red Blood Cell Distribution Width (RDW) Predicts COVID-19 Severity: A Prospective, Observational Study from the Cincinnati SARS-CoV-2 Emergency Department Cohort,” SOCICT Open, consulta 17 de abril de 2026, https://www.socictopen.socict.org/items/show/5109.
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