RT Journal Article
SR Electronic
T1 Metabolic syndrome, intracranial arterial stenosis and cerebral small vessel disease in community-dwelling populations
JF Stroke and Vascular Neurology
JO Stroke Vasc Neurol
FD BMJ Publishing Group Ltd
SP 589
OP 594
DO 10.1136/svn-2020-000813
VO 6
IS 4
A1 Shu, Mei-Jun
A1 Zhai, Fei-Fei
A1 Zhang, Ding-Ding
A1 Han, Fei
A1 Zhou, Lixin
A1 Ni, Jun
A1 Yao, Ming
A1 Zhang, Shu-Yang
A1 Cui, Li-Ying
A1 Jin, Zheng-Yu
A1 Zhu, Hui-Juan
A1 Zhu, Yi-Cheng
YR 2021
UL http://svn.bmj.com/content/6/4/589.abstract
AB Background and purpose This study aimed to investigate the association of metabolic syndrome (MetS) with both intracranial atherosclerotic stenosis (ICAS) and imaging markers of cerebral small vessel disease (CSVD) in a community-based sample.Methods This study included 943 participants (aged 55.6±9.2 years, 36.1% male) from the community-based Shunyi cohort study. MetS was defined according to the joint interim criteria and quantified by the MetS severity Z-score. ICAS was evaluated by brain magnetic resonance angiography. The MRI markers of CSVD, including white matter hyperintensities (WMHs), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces (EPVS), were assessed. Multiple regression models were used to investigate the association of MetS severity Z-score with ICAS and these CSVD markers.Results We found that risk of ICAS (OR=1.75, 95% CI 1.39 to 2.21, p<0.001) increased consistently with MetS severity. MetS severity was significantly associated with higher risks of WMH volume (β=0.11, 95% CI 0.01 to 0.20, p=0.02) and lacunes (OR=1.28, 95% CI 1.03 to 1.59, p=0.03) but not the presence of CMBs (OR=0.93, 95% CI 0.74 to 1.16, p=0.51) and PVS severity (EPVS in basal ganglia: OR=0.96, 95% CI 0.84 to 1.09, p=0.51 and EPVS in white matter: OR=1.09, 95% CI 0.96 to 1.23, p=0.21).Conclusions Our findings suggest that WMH and lacunes share risk factors with atherosclerosis of the cerebral artery, whereas the impact of glucose and lipid metabolic disorder to CMB or EPVS might be weak.All data relevant to the study are included in the article or uploaded as supplementary information.