Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke

BackgroundWhite matter hyperintensity (WMH) and brain atrophy, as imaging marker of cerebral small-vessel diseases (CSVD), have a high prevalence and strong prognostic value in stroke. We aimed to explore the association between lymphocyte count, a maker of inflammation, and WMH and brain atrophy in...

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Main Authors: Chenchen Liu, Dai Shi, Xiaoqiong Ni, Shoujiang You, Xiaofen Wu, Sheng Zhuang, Wu Cai, Liang Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Aging Neuroscience
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Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2024.1492078/full
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author Chenchen Liu
Dai Shi
Xiaoqiong Ni
Shoujiang You
Shoujiang You
Xiaofen Wu
Sheng Zhuang
Sheng Zhuang
Wu Cai
Liang Xu
Liang Xu
author_facet Chenchen Liu
Dai Shi
Xiaoqiong Ni
Shoujiang You
Shoujiang You
Xiaofen Wu
Sheng Zhuang
Sheng Zhuang
Wu Cai
Liang Xu
Liang Xu
author_sort Chenchen Liu
collection DOAJ
description BackgroundWhite matter hyperintensity (WMH) and brain atrophy, as imaging marker of cerebral small-vessel diseases (CSVD), have a high prevalence and strong prognostic value in stroke. We aimed to explore the association between lymphocyte count, a maker of inflammation, and WMH and brain atrophy in patients with acute ischemic stroke (AIS).MethodsA total of 727 AIS patients with lymphocyte count and brain magnetic resonance imaging data were enrolled. Participants were divided into four groups according to the quartiles of baseline lymphocyte counts. WMH is frequently divided into periventricular hyperintensity (PVH) and deep white matter hyperintensity (DWMH). WMH was defined as Fazekas scale score ≥ 3; PVH was defined as periventricular Fazekas scale ≥2; DWMH was defined as deep Fazekas scale ≥2. Brain atrophy was defined as global cortical atrophy score ≥ 1. Multivariable logistic regression models were used to assess the association between lymphocyte count and WMH and brain atrophy.ResultsAmong 727 AIS, 517 (71.1%), 442 (60.8%), 459 (63.1%), 583 (80.2%) had WMH, PVH, DWMH and brain atrophy, respectively. After adjustment for potential covariates, the highest quartiles of lymphocyte counts were significantly associated with lower risk of WMH (adjusted odds ratio [aOR] 0.57, 95% confidence intervals [CI] 0.32–0.99), PVH (aOR 0.52, 95% CI 0.31–0.87), DWMH (aOR 0.53 95% CI 0.32–0.90) as well as brain atrophy (aOR 0.46, 95% CI 0.23–0.92) compared with the lowest quartiles of lymphocyte counts, respectively. Furthermore, a notable inverse association was observed between continuous lymphocyte counts and WMH, PVH, DWMH, and brain atrophy. Additionally, we found that the inverse association between baseline lymphocyte count and WMH was significant only in individuals with mild stroke.ConclusionIn patients with AIS, there was an independent and inverse association between the baseline lymphocyte count and both WMH and brain atrophy.
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spelling doaj-art-19f4a382ab074cfab94134ae05041ae72025-01-08T06:11:58ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652025-01-011610.3389/fnagi.2024.14920781492078Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic strokeChenchen Liu0Dai Shi1Xiaoqiong Ni2Shoujiang You3Shoujiang You4Xiaofen Wu5Sheng Zhuang6Sheng Zhuang7Wu Cai8Liang Xu9Liang Xu10Department of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Neurology, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Radiology, Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaDepartment of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, ChinaBackgroundWhite matter hyperintensity (WMH) and brain atrophy, as imaging marker of cerebral small-vessel diseases (CSVD), have a high prevalence and strong prognostic value in stroke. We aimed to explore the association between lymphocyte count, a maker of inflammation, and WMH and brain atrophy in patients with acute ischemic stroke (AIS).MethodsA total of 727 AIS patients with lymphocyte count and brain magnetic resonance imaging data were enrolled. Participants were divided into four groups according to the quartiles of baseline lymphocyte counts. WMH is frequently divided into periventricular hyperintensity (PVH) and deep white matter hyperintensity (DWMH). WMH was defined as Fazekas scale score ≥ 3; PVH was defined as periventricular Fazekas scale ≥2; DWMH was defined as deep Fazekas scale ≥2. Brain atrophy was defined as global cortical atrophy score ≥ 1. Multivariable logistic regression models were used to assess the association between lymphocyte count and WMH and brain atrophy.ResultsAmong 727 AIS, 517 (71.1%), 442 (60.8%), 459 (63.1%), 583 (80.2%) had WMH, PVH, DWMH and brain atrophy, respectively. After adjustment for potential covariates, the highest quartiles of lymphocyte counts were significantly associated with lower risk of WMH (adjusted odds ratio [aOR] 0.57, 95% confidence intervals [CI] 0.32–0.99), PVH (aOR 0.52, 95% CI 0.31–0.87), DWMH (aOR 0.53 95% CI 0.32–0.90) as well as brain atrophy (aOR 0.46, 95% CI 0.23–0.92) compared with the lowest quartiles of lymphocyte counts, respectively. Furthermore, a notable inverse association was observed between continuous lymphocyte counts and WMH, PVH, DWMH, and brain atrophy. Additionally, we found that the inverse association between baseline lymphocyte count and WMH was significant only in individuals with mild stroke.ConclusionIn patients with AIS, there was an independent and inverse association between the baseline lymphocyte count and both WMH and brain atrophy.https://www.frontiersin.org/articles/10.3389/fnagi.2024.1492078/fulllymphocyte countwhite matter hyperintensitybrain atrophyischemic strokeassociation
spellingShingle Chenchen Liu
Dai Shi
Xiaoqiong Ni
Shoujiang You
Shoujiang You
Xiaofen Wu
Sheng Zhuang
Sheng Zhuang
Wu Cai
Liang Xu
Liang Xu
Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke
Frontiers in Aging Neuroscience
lymphocyte count
white matter hyperintensity
brain atrophy
ischemic stroke
association
title Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke
title_full Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke
title_fullStr Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke
title_full_unstemmed Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke
title_short Correlations among lymphocyte count, white matter hyperintensity and brain atrophy in patients with ischemic stroke
title_sort correlations among lymphocyte count white matter hyperintensity and brain atrophy in patients with ischemic stroke
topic lymphocyte count
white matter hyperintensity
brain atrophy
ischemic stroke
association
url https://www.frontiersin.org/articles/10.3389/fnagi.2024.1492078/full
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