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Association between red blood cell distribution width and white matter hyperintensities: A large‐scale cross‐sectional study
BACKGROUND: Red blood cell distribution width (RDW) is a strong prognostic marker for various medical conditions, such as ischemic strokes. However, the relationships between higher RDW and the subtypes of white matter hyperintensities (WMHs) remain unclear. Hence, this study aimed to thoroughly eva...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503097/ https://www.ncbi.nlm.nih.gov/pubmed/32683781 http://dx.doi.org/10.1002/brb3.1739 |
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author | Wang, Meiyao Feng, Hongliang Zhang, Shuaimei Luo, Zhengjin Liang, Yan Xu, Yan Mei, Bin Kong, Zhaohong Liu, Yumin |
author_facet | Wang, Meiyao Feng, Hongliang Zhang, Shuaimei Luo, Zhengjin Liang, Yan Xu, Yan Mei, Bin Kong, Zhaohong Liu, Yumin |
author_sort | Wang, Meiyao |
collection | PubMed |
description | BACKGROUND: Red blood cell distribution width (RDW) is a strong prognostic marker for various medical conditions, such as ischemic strokes. However, the relationships between higher RDW and the subtypes of white matter hyperintensities (WMHs) remain unclear. Hence, this study aimed to thoroughly evaluate the relationships between RDW and the subtypes of WMHs. PATIENTS AND METHODS: This cross‐sectional study was a retrospective analysis of hospital database (Dongguan Medical System, from April 2015 to February 2017). The presence and subtypes of WMHs were evaluated using Fazekas score with the T2WI‐FLAIR brain images from a 1.5‐T MRI system. The overall sample was randomly split in half. One of the two split‐half samples was used for determining the optimal cutoff value of higher RDW and another for further statistical analyses. RESULTS: A total of 555 subjects with WMHs and 642 controls were recruited. The optimal cutoff value of higher RDW was 13.25%. Logistic regression revealed that higher RDW (≥13.25%) was positively associated with periventricular WMHs (adjusted OR = 1.81, 95% CI: 1.16–2.82, p = .009). However, higher RDW was not associated with total WMHs (adjusted OR = 1.52, 95% CI: 0.99–2.33, p = .057) and deep WMHs (adjusted OR = 1.21, 95% CI: 0.76–1.94, p = .426). CONCLUSION: Our findings suggested that higher RDW may be independently associated with periventricular WMHs, but not with total WMHs and deep WMHs. |
format | Online Article Text |
id | pubmed-7503097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75030972020-09-28 Association between red blood cell distribution width and white matter hyperintensities: A large‐scale cross‐sectional study Wang, Meiyao Feng, Hongliang Zhang, Shuaimei Luo, Zhengjin Liang, Yan Xu, Yan Mei, Bin Kong, Zhaohong Liu, Yumin Brain Behav Original Research BACKGROUND: Red blood cell distribution width (RDW) is a strong prognostic marker for various medical conditions, such as ischemic strokes. However, the relationships between higher RDW and the subtypes of white matter hyperintensities (WMHs) remain unclear. Hence, this study aimed to thoroughly evaluate the relationships between RDW and the subtypes of WMHs. PATIENTS AND METHODS: This cross‐sectional study was a retrospective analysis of hospital database (Dongguan Medical System, from April 2015 to February 2017). The presence and subtypes of WMHs were evaluated using Fazekas score with the T2WI‐FLAIR brain images from a 1.5‐T MRI system. The overall sample was randomly split in half. One of the two split‐half samples was used for determining the optimal cutoff value of higher RDW and another for further statistical analyses. RESULTS: A total of 555 subjects with WMHs and 642 controls were recruited. The optimal cutoff value of higher RDW was 13.25%. Logistic regression revealed that higher RDW (≥13.25%) was positively associated with periventricular WMHs (adjusted OR = 1.81, 95% CI: 1.16–2.82, p = .009). However, higher RDW was not associated with total WMHs (adjusted OR = 1.52, 95% CI: 0.99–2.33, p = .057) and deep WMHs (adjusted OR = 1.21, 95% CI: 0.76–1.94, p = .426). CONCLUSION: Our findings suggested that higher RDW may be independently associated with periventricular WMHs, but not with total WMHs and deep WMHs. John Wiley and Sons Inc. 2020-07-18 /pmc/articles/PMC7503097/ /pubmed/32683781 http://dx.doi.org/10.1002/brb3.1739 Text en © 2020 The Authors. Brain and Behavior published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Wang, Meiyao Feng, Hongliang Zhang, Shuaimei Luo, Zhengjin Liang, Yan Xu, Yan Mei, Bin Kong, Zhaohong Liu, Yumin Association between red blood cell distribution width and white matter hyperintensities: A large‐scale cross‐sectional study |
title | Association between red blood cell distribution width and white matter hyperintensities: A large‐scale cross‐sectional study |
title_full | Association between red blood cell distribution width and white matter hyperintensities: A large‐scale cross‐sectional study |
title_fullStr | Association between red blood cell distribution width and white matter hyperintensities: A large‐scale cross‐sectional study |
title_full_unstemmed | Association between red blood cell distribution width and white matter hyperintensities: A large‐scale cross‐sectional study |
title_short | Association between red blood cell distribution width and white matter hyperintensities: A large‐scale cross‐sectional study |
title_sort | association between red blood cell distribution width and white matter hyperintensities: a large‐scale cross‐sectional study |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503097/ https://www.ncbi.nlm.nih.gov/pubmed/32683781 http://dx.doi.org/10.1002/brb3.1739 |
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