Cargando…

Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies

Red cell distribution width (RDW), which is a quantitative method applied for the measurement of anisocytosis, is the most reliable and inexpensive method for differentiation of iron deficiency anemia and thalassemia trait. An increase in its rate reflects a great heterogeneity in the size of red bl...

Descripción completa

Detalles Bibliográficos
Autores principales: Yousefi, Bahman, Sanaie, Sarvin, Ghamari, Ali A, Soleimanpour, Hassan, Karimian, Ansar, Mahmoodpoor, Ata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Jaypee Brothers Medical Publishers 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050177/
https://www.ncbi.nlm.nih.gov/pubmed/32148349
http://dx.doi.org/10.5005/jp-journals-10071-23328
_version_ 1783502585041256448
author Yousefi, Bahman
Sanaie, Sarvin
Ghamari, Ali A
Soleimanpour, Hassan
Karimian, Ansar
Mahmoodpoor, Ata
author_facet Yousefi, Bahman
Sanaie, Sarvin
Ghamari, Ali A
Soleimanpour, Hassan
Karimian, Ansar
Mahmoodpoor, Ata
author_sort Yousefi, Bahman
collection PubMed
description Red cell distribution width (RDW), which is a quantitative method applied for the measurement of anisocytosis, is the most reliable and inexpensive method for differentiation of iron deficiency anemia and thalassemia trait. An increase in its rate reflects a great heterogeneity in the size of red blood cells (RBCs). Recent studies have shown a significant relationship between RDW and the risk of morbidity and mortality in patients with multiple diseases. A strong association is established between changes in RDW and the risk of adverse outcome in patients with heart failure in multiple studies. In this review, we try to focus on the association and correlation between the increase in RDW and different outcomes of common diseases that may be related to RDW and based on the results of various studies, we are trying to introduce RDW as a diagnostic indicator for these diseases. HOW TO CITE THIS ARTICLE: Yousefi B, Sanaie S, Ghamari AA, Soleimanpour H, Karimian A, Mahmoodpoor A. Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies. Indian J Crit Care Med 2020;24(1):49–54.
format Online
Article
Text
id pubmed-7050177
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Jaypee Brothers Medical Publishers
record_format MEDLINE/PubMed
spelling pubmed-70501772020-03-06 Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies Yousefi, Bahman Sanaie, Sarvin Ghamari, Ali A Soleimanpour, Hassan Karimian, Ansar Mahmoodpoor, Ata Indian J Crit Care Med Review Article Red cell distribution width (RDW), which is a quantitative method applied for the measurement of anisocytosis, is the most reliable and inexpensive method for differentiation of iron deficiency anemia and thalassemia trait. An increase in its rate reflects a great heterogeneity in the size of red blood cells (RBCs). Recent studies have shown a significant relationship between RDW and the risk of morbidity and mortality in patients with multiple diseases. A strong association is established between changes in RDW and the risk of adverse outcome in patients with heart failure in multiple studies. In this review, we try to focus on the association and correlation between the increase in RDW and different outcomes of common diseases that may be related to RDW and based on the results of various studies, we are trying to introduce RDW as a diagnostic indicator for these diseases. HOW TO CITE THIS ARTICLE: Yousefi B, Sanaie S, Ghamari AA, Soleimanpour H, Karimian A, Mahmoodpoor A. Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies. Indian J Crit Care Med 2020;24(1):49–54. Jaypee Brothers Medical Publishers 2020-01 /pmc/articles/PMC7050177/ /pubmed/32148349 http://dx.doi.org/10.5005/jp-journals-10071-23328 Text en Copyright © 2020; Jaypee Brothers Medical Publishers (P) Ltd. © The Author(s). 2020 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review Article
Yousefi, Bahman
Sanaie, Sarvin
Ghamari, Ali A
Soleimanpour, Hassan
Karimian, Ansar
Mahmoodpoor, Ata
Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies
title Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies
title_full Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies
title_fullStr Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies
title_full_unstemmed Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies
title_short Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies
title_sort red cell distribution width as a novel prognostic marker in multiple clinical studies
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050177/
https://www.ncbi.nlm.nih.gov/pubmed/32148349
http://dx.doi.org/10.5005/jp-journals-10071-23328
work_keys_str_mv AT yousefibahman redcelldistributionwidthasanovelprognosticmarkerinmultipleclinicalstudies
AT sanaiesarvin redcelldistributionwidthasanovelprognosticmarkerinmultipleclinicalstudies
AT ghamarialia redcelldistributionwidthasanovelprognosticmarkerinmultipleclinicalstudies
AT soleimanpourhassan redcelldistributionwidthasanovelprognosticmarkerinmultipleclinicalstudies
AT karimianansar redcelldistributionwidthasanovelprognosticmarkerinmultipleclinicalstudies
AT mahmoodpoorata redcelldistributionwidthasanovelprognosticmarkerinmultipleclinicalstudies