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Metabolic Syndrome is Associated with White Matter Hyperintensity in Stroke Patients

Published online by Cambridge University Press:  07 June 2017

Zheng Zhang ,
Wan-Li Zhang ,
Jia Li  and
Mei-Juan Xiao
Zheng Zhang
Affiliation:
Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
Wan-Li Zhang
Affiliation:
Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
Jia Li
Affiliation:
Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
Mei-Juan Xiao*
Affiliation:
Department of Neurology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
*
Address for correspondence: Mei-Juan Xiao, Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang, China. E-mail: [email protected].
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Abstract

Some risk factors of stroke may play a role in white matter hyperintensity (WMH). Metabolic syndrome (MetS) is a recognised risk factor of stroke, but it is controversial whether MetS is also associated with WMH. We examined the association of MetS with the prevalence of WMH in acute stroke patients. We conducted a cross-sectional study in 246 acute ischemia stroke patients. The patients with acute stroke were clinically evaluated, including waistline circumference, blood pressure, glycaemia, serum triglyceride and high density lipoprotein cholesterol level. The degree of WMH was assessed by Fluid-attenuated inversion recovery (FLAIR) sequence of magnetic resonance imaging (MRI) scans. MetS was diagnosed using the criteria by the National Cholesterol Education Adult Treatment Panel III. MetS was the independent variable evaluated in Binary regression analyses. It is found that old age (>60 years old), MetS and smoking were significantly associated with WMH in univariate analysis (p < .05). Spearman rank correlation showed that old age and MetS are related to WMH (r = 0.18, p = .005 and r = 0.18, p = .004, respectively). Hypertension is weakly but not significantly associated with WMH in correlation analysis (r = 0.11, p = .08). In multiple regression analysis, age and MetS remained independently associated with WMH (OR = 7.6, 95% CI 0.2–0.7 and OR = 11.7, 95% CI 0.1–0.5). Hypertension and hyperglycaemia tend to be associated but not significantly with WMH (p = .07, p = .08). Other MetS components such as large waist circumference and dyslipidaemia showed no association with WMH. After adjustment for age, WMH is significantly associated with MetS in stroke patients. Hypertension and hyperglycaemia tend to associated but not significantly with WMH in stroke patients.

Keywords

LeukoaraiosisWMHMetSMRI
Type
Articles
Information
Brain Impairment , Volume 18 , Issue 3 , December 2017 , pp. 277 - 283
Copyright
Copyright © Australasian Society for the Study of Brain Impairment 2017 

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