Open AccessValidation of red cell distribution width as a COVID-19 severity screening tool
Author(s) -
Mandana Pouladzadeh,
Mehdi Safdarian,
Parastoo Moradi Choghakabodi,
Fatemeh Amini,
Alireza Sokooti
Publication year - 2021
Publication title -
future science oa
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.825
H-Index - 23
ISSN - 2056-5623
DOI - 10.2144/fsoa-2020-0199
Subject(s) - red blood cell distribution width , medicine , covid-19 , severity of illness , continuous variable , multivariate analysis , categorical variable , disease , statistics , mathematics , infectious disease (medical specialty)
Aim: The aim of this study is the predictive validation of red cell distribution width (RDW) in COVID-19 patients. Method: In total, 331 COVID-19 patients were classified as ‘severe’ and ‘nonsevere’ groups based on the WHO standard criteria. The levels of RDW standard deviation (SD) were evaluated as both continuous and categorical variables. Multivariate statistical analyses were used. Results: RDW-SD ≤43 and ≤47 fl thresholds showed high specificity (90.1–91.4%) for diagnosing nonsevere illness and no risk of death. RDW-SD >47 indicated severe illness and a high mortality risk while 43