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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...

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Autores principales: Wang, Meiyao, Feng, Hongliang, Zhang, Shuaimei, Luo, Zhengjin, Liang, Yan, Xu, Yan, Mei, Bin, Kong, Zhaohong, Liu, Yumin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
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.
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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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