Association between white matter hyperintensities and stroke in a West African patient population: Evidence from the Stroke Investigative Research and Educational Network study.
Lesion segmentation
Magnetic resonance imaging (MRI)
SIREN
Stroke
West Africa
White matter hyperintensity
Journal
NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515
Informations de publication
Date de publication:
15 07 2020
15 07 2020
Historique:
received:
31
05
2019
revised:
27
01
2020
accepted:
26
03
2020
pubmed:
11
4
2020
medline:
26
2
2021
entrez:
11
4
2020
Statut:
ppublish
Résumé
This study is part of the Stroke Investigative Research and Educational Network (SIREN), the largest study of stroke patients in Africa to date, with computed tomography (CT) or magnetic resonance (MR) imaging data for each patient to confirm stroke. Prior imaging studies performed using high-field MR (≥1.5T) have shown that white matter hyperintensities (WMH), signs of microangiopathy in the subcortical brain, are correlated with many stroke risk factors as well as poor stroke outcomes. The aim of this study was the evaluation of MR images (0.3T-1.5T) from the SIREN study to determine associations between WMH volumes in West African patients and both stroke outcomes and stroke risk factors identified in the SIREN study. Brain MR images of 130 Western African stroke patients (age = 57.87 ± 14.22) were processed through Lesion Segmentation Toolbox of the Statistical Parametric Mapping software to extract all areas of hyperintensity in the brain. WMH was separated from stroke lesion hyperintensity and WMH volume was computed and summed. A stepwise linear regression and multivariate analysis was performed between patients' WMH volume and sociodemographic and clinical indices. Multivariate analysis showed that high WMH volume was statistically significantly positively correlated with age (β = 0.44, p = 0.001), waist/hip ratio (β = 0.22, p = 0.03), and platelet count (β = 0.19, p = 0.04) after controlling for head size in a Western African stroke population. Associations between WMH and age and waist/hip ratio previously identified in Western countries were demonstrated for the first time in a resource-limited, homogeneous black African community using low-field MR scanners.
Sections du résumé
BACKGROUND
This study is part of the Stroke Investigative Research and Educational Network (SIREN), the largest study of stroke patients in Africa to date, with computed tomography (CT) or magnetic resonance (MR) imaging data for each patient to confirm stroke. Prior imaging studies performed using high-field MR (≥1.5T) have shown that white matter hyperintensities (WMH), signs of microangiopathy in the subcortical brain, are correlated with many stroke risk factors as well as poor stroke outcomes. The aim of this study was the evaluation of MR images (0.3T-1.5T) from the SIREN study to determine associations between WMH volumes in West African patients and both stroke outcomes and stroke risk factors identified in the SIREN study.
MATERIALS AND METHODS
Brain MR images of 130 Western African stroke patients (age = 57.87 ± 14.22) were processed through Lesion Segmentation Toolbox of the Statistical Parametric Mapping software to extract all areas of hyperintensity in the brain. WMH was separated from stroke lesion hyperintensity and WMH volume was computed and summed. A stepwise linear regression and multivariate analysis was performed between patients' WMH volume and sociodemographic and clinical indices.
RESULTS
Multivariate analysis showed that high WMH volume was statistically significantly positively correlated with age (β = 0.44, p = 0.001), waist/hip ratio (β = 0.22, p = 0.03), and platelet count (β = 0.19, p = 0.04) after controlling for head size in a Western African stroke population.
CONCLUSION
Associations between WMH and age and waist/hip ratio previously identified in Western countries were demonstrated for the first time in a resource-limited, homogeneous black African community using low-field MR scanners.
Identifiants
pubmed: 32276063
pii: S1053-8119(20)30276-7
doi: 10.1016/j.neuroimage.2020.116789
pmc: PMC7304372
mid: NIHMS1592349
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
116789Subventions
Organisme : NINDS NIH HHS
ID : R01 NS107900
Pays : United States
Organisme : NINDS NIH HHS
ID : R25 NS080949
Pays : United States
Organisme : NHGRI NIH HHS
ID : U54 HG007479
Pays : United States
Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest None.
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