Clinical Research
Correlation between asymmetrically prominent cortical veins on susceptibility-weighted imaging and early neurological deterioration in patients with acute ischemic stroke
Hu Zongji, Tan Qi, Liu Lin, Huang Ruxun, Li Zhe, Zhu Gangming, Peng Quan, Huang Can
Published 2020-02-28
Cite as Int J Cerebrovasc Dis, 2020,28(02): 87-92. DOI: 10.3760/cma.j.issn.1673-4165.2020.02.002
Abstract
ObjectiveTo investigate the correlation between asymmetrically prominent cortical veins (APCV) on susceptibility-weighted imaging (SWI) and early neurological deterioration (END) in patients with acute ischemic stroke.
MethodsFrom October 2016 to September 2018, patients with acute ischemic stroke admitted to the Department of Neurology, Donghua Hospital Affiliated to Sun Yat-sen University were enrolled retrospectively. They completed MRI within 3 d of onset. APCV was evaluated using SWI. END was defined as the National Institutes of Health Stroke Scale (NHISS) score at any time point within 7 d after the onset increased by ≥2 or the motor function item score increased by ≥1 from baseline. Multivariate logistic regression analysis was used to determine the independent correlation between APCV and END.
ResultsA total of 133 patients with acute ischemic stroke were enrolled, including 40 females and 93 males, with a median age of 57.3 years (interquartile range: 47.5-67.5 years). Baseline NIHSS score was 5.9±5.0. Fifty-one (38.3%) patients had APCV, and 38 (28.6%) had END. The proportions of APCV, ipsilateral large vessel stenosis, and patients receiving anticoagulation after admission were significantly different between the END group and the non-END group (P<0.05). Multivariate logistic regression analysis showed that after adjusting for age and gender, APCV was an independent risk factor for END in patients with acute ischemic stroke (odds ratio 6.907, 95% confidence interval 2.798-17.052; P<0.001).
ConclusionsAPCV on SWI was an independent risk factor for END in patients with acute ischemic stroke.
Key words:
Stroke; Brain ischemia; Magnetic resonance imaging; Disease progression; Risk factors
Contributor Information
Hu Zongji
Donghua Hospital Affiliated to Sun Yat-sen University, Dongguan 523110, China
Tan Qi
Donghua Hospital Affiliated to Sun Yat-sen University, Dongguan 523110, China
Liu Lin
Donghua Hospital Affiliated to Sun Yat-sen University, Dongguan 523110, China
Huang Ruxun
The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
Li Zhe
Donghua Hospital Affiliated to Sun Yat-sen University, Dongguan 523110, China
Zhu Gangming
Donghua Hospital Affiliated to Sun Yat-sen University, Dongguan 523110, China
Peng Quan
Donghua Hospital Affiliated to Sun Yat-sen University, Dongguan 523110, China
Huang Can
Donghua Hospital Affiliated to Sun Yat-sen University, Dongguan 523110, China