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  1. Article: Validation of red cell distribution width as a COVID-19 severity screening tool.

    Pouladzadeh, Mandana / Safdarian, Mehdi / Choghakabodi, Parastoo Moradi / Amini, Fatemeh / Sokooti, Alireza

    Future science OA

    2021  Volume 7, Issue 7, Page(s) FSO712

    Abstract: Aim: The aim of this study is the predictive validation of red cell distribution width (RDW ... independent predictor of the infection severity and mortality probability in COVID-19 patients. ... in COVID-19 patients.: Method: In total, 331 COVID-19 patients were classified as 'severe' and ...

    Abstract 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<RDW-SD≤47 indicated <mark>severe illness with low risk of death.
    Conclusion: RDW-SD levels may be a potent independent predictor of the infection severity and mortality probability in COVID-19 patients.
    Language English
    Publishing date 2021-04-20
    Publishing country England
    Document type Journal Article
    ISSN 2056-5623
    ISSN 2056-5623
    DOI 10.2144/fsoa-2020-0199
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Validation of red cell distribution width as a COVID-19 severity screening tool

    Mandana Pouladzadeh / Mehdi Safdarian / Parastoo Moradi Choghakabodi / Fatemeh Amini / Alireza Sokooti

    Future Science OA, Vol 7, Iss

    2021  Volume 7

    Abstract: Aim: The aim of this study is the predictive validation of red cell distribution width (RDW ... of the infection severity and mortality probability in COVID-19 patients. ... in COVID-19 patients. Method: In total, 331 COVID-19 patients were classified as ‘severe’ and ‘nonsevere ...

    Abstract 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<RDW-SD≤47 indicated <mark>severe illness with low risk of death. Conclusion: RDW-SD levels may be a potent independent predictor of the infection severity and mortality probability in COVID-19 patients.
    Keywords COVID-19 ; mortality ; RDW-SD ; red cell distribution width ; Medicine ; R ; Medicine (General) ; R5-920
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher Future Science Ltd
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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